| WUSS |
2026 |
A Weighted Deming Regression SAS Macro |
Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza |
source |
29 |
| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| WUSS |
2026 |
From Prediction to Explanation: Per-Patient SHAP Attribution for a Random Forest Diabetes Risk Classifier |
Leon Rod Davoody,
Chary Akmyradov |
source |
12 |
| WUSS |
2026 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| WUSS |
2026 |
Interactive Modeling with SAS Visual Statistics |
Danny R. Modlin |
source |
28 |
| WUSS |
2026 |
SAS Macro Debugging Techniques for Mere Mortals |
Kirk Paul Lafler |
source |
36 |
| WUSS |
2026 |
SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB |
Matthew T. Slaughter,
Isaiah Lankham,
Kirk Paul Lafler |
source |
19 |
| WUSS |
2026 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| PharmaSUG CN |
2026 |
A Comprehensive R Shiny Application for Pharmacokinetic Analysis |
Keyi Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub |
Zhiping Yan |
source |
28 |
| PharmaSUG CN |
2026 |
Automated Clinical Text Classification with Robust Machine Learning for Pharmaceutical Data Curation |
Weineng Zhou |
source |
11 |
| PharmaSUG CN |
2026 |
Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation |
Jingbo Zhu,
Jiehan Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
TFL Generation Using R: Negative Binomial Regression Implementation and Comparison with SAS |
Ye Sun,
Jianchang Hu |
source |
11 |
| PharmaSUG |
2026 |
A Statistical Programmer-s Guide to Tipping Point Analysis in SAS |
Ang Xu |
source |
9 |
| PharmaSUG |
2026 |
Contrast Effects in Curated Observational Data |
Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz |
source |
16 |
| PharmaSUG |
2026 |
Current Review of Open Source in New Drug Applications: R & Python |
Philip Bowsher |
source |
3 |
| PharmaSUG |
2026 |
Embracing Novel Approaches to Automated Causal Inference Framework |
Laura Watson,
Sherrine Eid |
source |
15 |
| PharmaSUG |
2026 |
Experience of an R Programmer Incorporating R in a SAS Studio Flow |
Shelby Taylor |
source |
16 |
| PharmaSUG |
2026 |
Introduction to Plotting with the PROCS Package |
David J. Bosak |
source |
11 |
| PharmaSUG |
2026 |
Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset |
Leon Rod Davoody |
source |
11 |
| PharmaSUG |
2026 |
Regression Analysis Made Easy Using R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
source |
32 |
| PharmaSUG |
2026 |
SAS Macro Debugging Techniques for Mere Mortals |
Kirk Paul Lafler |
source |
35 |
| PharmaSUG |
2026 |
SAS Performance Tuning Techniques (From Slow to Scalable) |
Kirk Paul Lafler |
source |
18 |
| PharmaSUG |
2026 |
Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool |
Lihai Song |
source |
16 |
| PharmaSUG |
2026 |
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation |
Lida Gharibvand |
source |
31 |
| PHUSE US |
2026 |
AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach |
Kiran Kumar Gande |
source
presentation source |
7 |
| PHUSE US |
2026 |
Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] |
Blazej (Moni) Neradilek,
Chenchen Yu |
source |
14 |
| PHUSE US |
2026 |
Demystifying TMLE: A Practical Approach for Clinical Data Scientists |
Joshua Enxing |
source
presentation source |
12 |
| PHUSE US |
2026 |
Is There Really Any Benefit to Stratified Randomisation in Practice? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE US |
2026 |
Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience |
Daryna Teteriuk |
source
presentation source |
12 |
| PHUSE US |
2026 |
Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning |
Yilun Huang,
Jing Dai |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 |
Anetta Mary Xavier |
source
presentation source |
13 |
| PHUSE APAC |
2026 |
Elastic Net Meets BART: A Hybrid Virtual Twins Approach for Reliable Subgroup Identification |
Alexis Bernard Dalam |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
External Comparator Studies in the Era of Real-World Data |
Vishal Goriya,
Anshul Sinha,
Gerd Rippin |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials |
Sakshi Kaushik |
source
presentation source |
14 |
| PHUSE APAC |
2026 |
From Missing to Meaningful: Validating Multiple Imputation Techniques for Reliable Analysis |
Karthick Jayaraman |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers |
Likhita Kolli,
Tuhin James Paul |
source
poster source |
12 |
| PHUSE APAC |
2026 |
Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms |
Ajay Kumar Singh,
Sabyasachi Mukherjee |
source
presentation source |
12 |
| PHUSE APAC |
2026 |
Targeted Maximum Likelihood Estimation: A Unified Approach for Confounding and Selection Bias |
Mahjoob O. Majeed,
Noel S. John |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Tipping Point Analysis in R and SAS: A Comparative Approach to Handling Missing Data in Clinical Research |
Sushil Kale,
Jeet Agrawal |
source
poster source |
7 |
| PHUSE EU |
2025 |
Contributions to CAMIS PHUSE Project in 2025: Tobit Regression, Reference-based Multiple Imputation and Tipping Point Analysis |
Yannick Vandendijck |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach |
Vasiliki Economou,
Dimitrios Kounelis |
source
poster source |
17 |
| PHUSE EU |
2025 |
Inverse Probability Weighting in Multiple Groups: Balancing Baseline Characteristics and Improving Precision of Average Treatment Effect Estimation |
Dimitris Karletsos |
source
presentation source |
11 |
| PHUSE EU |
2025 |
Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Large Language Models as Medical Writers: Challenges and Solutions |
Ioannis Reklos,
Alexandrina Lambova |
source
presentation source |
10 |
| PHUSE EU |
2025 |
Launching CDISC CORE v1.0: A New Standard for Automated Study Conformance [presentation] |
Tomás Sabat Stofsel,
Nick De Donder |
source |
44 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| PHUSE EU |
2025 |
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks |
Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede |
source
poster source |
13 |
| PHUSE EU |
2025 |
The Art of Timely Deliverables: How We Learned To Stop Worrying and Love the Deadline |
Søren Fjelstrup |
source
presentation source |
12 |
| MWSUG |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| MWSUG |
2025 |
Feature Selection and Classification Using Fuzzy Logic |
Ross Bettinger |
source |
39 |
| MWSUG |
2025 |
Logistic Regression Odyssey on a Small Sample Due to Rare Cancer [presentation] |
Brandy R. Sinco,
Jessie Dalman,
Tasha Hughes |
source |
46 |
| MWSUG |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis |
Danny R. Modlin |
source |
57 |
| SESUG |
2025 |
AP Statistics and SaS |
Immanuel Pulavarti |
|
8 |
| SESUG |
2025 |
Comparing analysis method implementations in software (CAMIS) |
Brian K. Varney |
|
4 |
| SESUG |
2025 |
Determine the Dimensionality of Shared Trauma Posttraumatic Professional Growth Inventory-Modified Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
April Hutoo,
Phyllis Raynor |
|
10 |
| SESUG |
2025 |
Easily Turn Your Automated Explanation into a Predictive Model |
Danny R. Modlin |
|
21 |
| SESUG |
2025 |
Enrollment Projections Application: Empowering Data-Driven Enrollment Strategies |
Raj Bhosale |
|
6 |
| SESUG |
2025 |
Introducing Automatic Graphics from Python Models in SAS |
Dan Heath |
|
10 |
| SESUG |
2025 |
Multiple Logistic Regression Using SAS and SPSS |
Amita Patil |
|
14 |
| SESUG |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis |
Danny R. Modlin |
|
57 |
| SESUG |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? |
Danny R. Modlin |
|
36 |
| SESUG |
2025 |
The Missing Piece |
Cali M. Davis |
|
17 |
| WUSS |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| WUSS |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
57 |
| WUSS |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| WUSS |
2025 |
The Role of Congruity and Gendered Leadership Expectations in Higher Education: A Meta-Analysis of Bias and Leadership Evaluations Among Women Leaders |
Mehrnoosh Golshahifar |
source |
13 |
| PharmaSUG |
2025 |
Association of Alzheimer-s Disease with Cardiovascular Disease and Depression in Older Adults: Findings from the 2018 Nationwide Inpatient Sample |
Prayag Shah |
source |
27 |
| PharmaSUG |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| PharmaSUG |
2025 |
Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies |
Sabarinath Sundaram |
source |
6 |
| PharmaSUG |
2025 |
How to compute common clinical trials statistics in R |
Oleksandr Babych |
source |
15 |
| PharmaSUG |
2025 |
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis |
Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin |
source |
11 |
| PharmaSUG |
2025 |
Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) |
Felix Just,
Krishna Padmanabhan,
Parth Jinger,
Amanda Borrow,
Rüdiger Smolnik,
Eva-Maria Fronk,
Neelam Yadav,
Sergei Krivtcov,
Stas Zakharkin,
Martin Unverdorben,
Asmir Vodencarevic |
source |
6 |
| PharmaSUG |
2025 |
Multiple Imputation Techniques in the Context of ADaM Datasets |
Shunbing Zhao,
Linping Li |
source |
11 |
| PharmaSUG |
2025 |
Practical Process in SAS of Using External Controls |
Hui Mao,
Na Wang,
Lixin Gao |
source |
5 |
| PharmaSUG |
2025 |
Programming Perspectives for Efficient and Accurate C-QTc Analysis |
Lingjie Zhang,
Lata Maganti,
Richard Moreton,
Runcheng Li |
source |
11 |
| PharmaSUG |
2025 |
Sensitivity Analysis for Overall Survival |
Binal Mehta,
Patel Mukesh |
source |
13 |
| PharmaSUG |
2025 |
Super Learner for Predictive Modeling and Causal Analysis |
Honghe Zhao,
Clay Thompson,
Michael Lamm |
source |
9 |
| PharmaSUG |
2025 |
The Allowable Total Difference Zone: A construction method using the ATDzone SAS Macro |
Jesse Albert Canchola,
Natasha Oza |
source |
20 |
| PHUSE US |
2025 |
Applications of Machine Learning and Artificial Intelligence in Real-World Data in Personalised Medicine for Non-Small Cell Lung Cancer Patients |
Samiul Haque |
source
presentation source |
8 |
| PHUSE US |
2025 |
Comparing Confidence Intervals for a Difference in Adjusted Predicted Probabilities |
Cralen Davis,
Trevano Dean |
source
presentation source |
5 |
| PHUSE US |
2025 |
Evaluation of Open-Source Technologies in Clinical Trial Reporting |
Jaimin Patel |
source
poster source |
7 |
| PHUSE US |
2025 |
Multiple Imputation in Composite Endpoints - It's Not That Hard! |
Ashley Mao |
source
presentation source |
6 |
| PHUSE US |
2025 |
Predictive Analytics for Adverse Event Underreporting |
Steven A. Gilbert |
source
presentation source |
10 |
| PHUSE US |
2025 |
Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials |
Lavanya Peddibhotla |
source
presentation source |
7 |
| PHUSE US |
2025 |
Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration |
Jing Dai |
source
presentation source |
5 |
| MWSUG |
2024 |
Building a SAS Data Viz Toolkit [presentation] |
Sara Richter |
source |
78 |
| MWSUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| MWSUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| MWSUG |
2024 |
What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression |
Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol |
source |
16 |
| PHUSE EU |
2024 |
A Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death |
Edyta Winciorek |
source
presentation source |
9 |
| PHUSE EU |
2024 |
Comparative Analysis: Creating Kaplan-Meier Plots Using SAS vs Python - A Step-by-Step Approach |
Mrityunjay Kumar,
Ephicacy Lifescience |
source
presentation source |
13 |
| PHUSE EU |
2024 |
Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission |
Venu Mallarapu |
source
presentation source |
10 |
| PHUSE EU |
2024 |
Streamlining Complex Analysis: An SAS Macro for Marginal Structural Modelling |
Amine Khemiri |
source
presentation source |
6 |
| PHUSE EU |
2024 |
Using RWD to Inform the Next Study: A Case Study [presentation] |
Jean-Marc Ferran |
source |
22 |
| SESUG |
2024 |
A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods |
Muslihat Adejoke Gaffari |
source |
43 |
| SESUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| SESUG |
2024 |
Comparative Analysis of Sentiment Prediction Methods Using Aspects in Consumer Reviews |
Harish Palakurthi |
source |
8 |
| SESUG |
2024 |
Determine the Dimensionality of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (PCOSQ-50) Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
Pamela J. Wright,
Robin M. Dawson |
source |
19 |
| SESUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| SESUG |
2024 |
Interactive Modeling with SAS Visual Statistics |
Danny R. Modlin |
source |
28 |
| SESUG |
2024 |
Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging |
Victor Aderanti |
source |
31 |
| SESUG |
2024 |
SAS and Python can complement each other in statistical modeling |
Valentina Grouverman,
Lindzee Smith |
source |
5 |
| SESUG |
2024 |
Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis |
Vindhya Hegde |
source |
23 |
| SESUG |
2024 |
Using SAS In Analyzing Trends in Corn Yields, Surface Temperature, and Precipitation in U.S. South Atlantic Census Division States |
Abdullah Khan |
source |
31 |
| WUSS |
2024 |
Airbnb Consumer Behavior Analysis |
Evelyn Larson,
Anabeli Chandra |
source |
14 |
| WUSS |
2024 |
Analyzing Goalkeeper Impact in Premier League Football |
Alec Troy Christiansen,
Benjamin T Houser |
source |
10 |
| WUSS |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
6 |
| WUSS |
2024 |
Developing a SAS Macro for ISNI: Assessing Missing Data Sensitivity Beyond MAR Assumptions |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin |
source |
16 |
| WUSS |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| WUSS |
2024 |
Estimating causal effects of health interventions using instrumental variables |
Mehrnaz Siavoshi |
source |
7 |
| WUSS |
2024 |
From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality |
Yi-Che Chen,
Debanik Chakraborty |
source |
15 |
| WUSS |
2024 |
Integration of an R Language Function Within SAS to Perform Conditional Multivariate Saddlepoint Approximation |
Christopher Johnson |
source |
8 |
| WUSS |
2024 |
Matrices and More: An Overview of the SAS/IML Language [presentation] |
Rick Wicklin |
source |
46 |
| WUSS |
2024 |
Multiple Imputation in Interim Analyses [presentation] |
Bill Coar |
source |
29 |
| WUSS |
2024 |
Regression Analysis Made Easy Using SAS Studio |
Zheyuan (Walter) Yu |
source |
42 |
| WUSS |
2024 |
Ten Tips for Simulating Data with SAS [presentation] |
Rick Wicklin |
source |
34 |
| PharmaSUG CN |
2024 |
An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development |
Zhenghao Chu |
source |
28 |
| PharmaSUG CN |
2024 |
Application of I&I Late Phase in Programming |
Renxiang Wang |
source |
15 |
| PharmaSUG CN |
2024 |
Best practice of industrial code collaboration |
Joe Zhu |
source |
6 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li,
Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
Implementing the treatment policy estimation for continuous variable with multiple imputation |
Andy Sun |
source |
17 |
| PharmaSUG |
2024 |
Applications of Machine Learning and Artificial Intelligence in Real World Data in Personalized Medicine for Non-Small Cell Lung Cancer Patients |
Sherrine Eid,
Samiul Haque,
S. Robert Collins |
source |
8 |
| PharmaSUG |
2024 |
Bayesian Additive Regression Trees for Counterfactual Prediction and Estimation |
Michael Lamm |
source |
10 |
| PharmaSUG |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PharmaSUG |
2024 |
Bayesian Models with the Power Prior Using PROC BGLIMM |
Yi Gong,
Fang K. Chen |
source |
15 |
| PharmaSUG |
2024 |
Kaplan-Meier Graph: a comparative study using SAS vs R |
Mrityunjay Kumar,
Shashikant Kumar |
source |
11 |
| PharmaSUG |
2024 |
MLNR or Machine Learning in R |
Chuck Kincaid |
source |
23 |
| PharmaSUG |
2024 |
Multiple Logistic Regression Analysis using Backward Selection Process on Objective Response Data with SAS |
Girish Kankipati,
Jai Deep Mittapalli |
source |
9 |
| PharmaSUG |
2024 |
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| PHUSE US |
2024 |
A Primer to Pharma DevOps: Empowering R Package Development with DevOps Workflows and Automation |
Benjamin Straub |
source
presentation source |
5 |
| PHUSE US |
2024 |
Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? |
Pradeep Acharya,
Ephicacy Lifescience |
source
presentation source |
9 |
| PHUSE US |
2024 |
Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data |
Helena Yaben,
Kian Norouzi |
source
presentation source |
9 |
| PHUSE US |
2024 |
Building a Global Workforce Ecosystem: Unlocking the True Potential of Offshore Teams |
Bhavesh Patkar |
source
presentation source |
9 |
| PHUSE US |
2024 |
Case study of verification and validation methods for algorithmic predictive biomarkers |
Kartik Shetty |
source
presentation source |
4 |
| PHUSE US |
2024 |
How No-Code Visualisation is Fast Becoming an Asset for Data Engineering and Data Science Teams |
Pritesh Desai |
source
presentation source |
6 |
| PHUSE US |
2024 |
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data |
Kostiantyn Drach,
Sergey Glushakov |
source
presentation source |
12 |
| PHUSE US |
2024 |
SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation |
Anush Kurghinyan,
Shahrzad Talebian |
source
presentation source |
7 |
| PHUSE US |
2024 |
Spline Analysis to Understand the Non-linear Relationship in Clinical Research |
Anwaya Joshi |
source
presentation source |
9 |
| PHUSE US |
2024 |
The Role of AI (ML/NLP/Deep Learning) in Handling Sensitive/Confidential Data |
Divya Kanniah,
Swetha Balaji |
source
presentation source |
3 |
| PHUSE US |
2024 |
Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS |
Sy J. Truong |
source
presentation source |
10 |
| PHUSE EU |
2023 |
A Beginner's Guide to Overcome the Attrition Bias in Clinical Research: The Method of Inverse Probability of Attrition Weighting (IPAW) |
Parichay Srivastava |
source
presentation source |
9 |
| PHUSE EU |
2023 |
Eat, Sleep, R, Repeat |
Miriam Amor |
source
presentation source |
9 |
| PHUSE EU |
2023 |
Efficacy Analyses with Imputations: Methods, Limitations and Lessons Learned |
Amine Khemiri |
source
presentation source |
3 |
| PHUSE EU |
2023 |
Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials |
Yuliia (Piddubna) Cherednichenko,
Anna Amosova |
source
presentation source |
15 |
| PHUSE EU |
2023 |
Further Adventures in SCE Alchemy |
Eleanor Sparling |
source
presentation source |
6 |
| WUSS |
2023 |
A Batch Processing Companion, how to write Windows *.bat and *.cmd files for my-program.sas |
Ronald J. Fehd |
source |
9 |
| WUSS |
2023 |
D-I-D the policy have an impact? Difference-in-difference methods applied to survey data in SAS |
Melanie Dove |
source |
7 |
| WUSS |
2023 |
Getting Started with the SGPLOT Procedure |
Joshua M. Horstman |
source |
18 |
| WUSS |
2023 |
Introduction to Machine Learning - Descriptions and Best Practices |
Jim Box |
source |
13 |
| WUSS |
2023 |
Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics |
Colleen E. McGahan |
source |
15 |
| WUSS |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang |
source |
43 |
| WUSS |
2023 |
Survey Data Analysis in SAS |
Denis Nyongesa,
Marianne Jurasic,
Gregg Gilbert,
Tamara Lischka |
source |
11 |
| WUSS |
2023 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| WUSS |
2023 |
Univariate Outlier Detection Using SAS |
Fan Yang |
source |
12 |
| WUSS |
2023 |
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
24 |
| WUSS |
2023 |
What's next after model comparison? Model selection and model averaging in SAS |
Chong Ho Yu,
Charlene Yang |
source |
14 |
| SESUG |
2023 |
A Batch Processing Companion, how to write Windows *.bat and *.cmd files for my-program.sas |
Ronald J. Fehd |
source |
9 |
| SESUG |
2023 |
Binning Predictors for Logistic Regression |
Bruce S. Lund |
source |
25 |
| SESUG |
2023 |
Empowering Decision-Making: Predictive Analytics Integration with SAS and Python in a Higher Education Setup |
Vindhya Hegde |
source |
8 |
| SESUG |
2023 |
Introduction to Principal Components and Factor Analysis |
Jason Brinkley |
source |
16 |
| SESUG |
2023 |
Navigating First-Year STEM Student Persistence: Insights from Student Experience and Expectations |
Zhong Zheng |
source |
1 |
| SESUG |
2023 |
Performing Higher Education Enrollment Management Predictions Using SAS |
Phil Moore,
Marla Mamrick,
Sara Reinhardt |
source |
13 |
| SESUG |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang |
source |
43 |
| SESUG |
2023 |
Response Analysis for marketing campaigns using SAS |
Dishant Banga |
source |
5 |
| SESUG |
2023 |
Systemic Quantitative check to identify if a variable is a confounder in a dataset using SAS Macro code |
Kannan Deivasigamani,
Douglas Lunsford |
source |
17 |
| SESUG |
2023 |
The Best of Both Worlds: Analytics with SAS Viya and Python |
Peter Styliadis |
source |
63 |
| SESUG |
2023 |
Translating Common Data Visualizations from PROC SGPLOT to ggplot2 |
Austin R. Brown |
source |
11 |
| SESUG |
2023 |
Two illustrations of the Quantity Theory of Money: A Restatement |
Lawrence Ogbeifun |
source |
81 |
| SESUG |
2023 |
Unobserved Components Models: Applications in Post-COVID Analysis |
David J. Corliss |
source |
10 |
| PharmaSUG |
2023 |
Application of Tipping Point Analysis in Clinical Trials using the Multiple Imputation Procedure in SAS |
Yunxia Sui,
Xianwei Bu,
Yuanyuan Duan,
Yihan Li,
Xin Wang |
source |
12 |
| PharmaSUG |
2023 |
Auto-validation of SAS Macros through Regression Testing |
Madhu Annamalai,
Umayal Annamalai |
source |
5 |
| PharmaSUG |
2023 |
Guidelines for the Statistical Analysis in German Dossier Submissions |
Meiling Gao,
Xi Qian,
Hui Mao |
source |
8 |
| PharmaSUG |
2023 |
Repetitive Analyses in SAS - Use of Macros Versus Data Inflation and BY Group Processing |
Bradford J. Danner,
Indrani Sarkar |
source |
6 |
| PharmaSUG |
2023 |
SAS-based Method for PK Noncompartmental Analysis and Validation |
Hui Mao,
Lixin Gao |
source |
5 |
| PharmaSUG |
2023 |
Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 |
Xi Qian,
Chengfei Lu |
source |
11 |
| PharmaSUG |
2023 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
16 |
| PharmaSUG |
2023 |
What is Machine Learning, anyway? |
Jim Box |
source |
11 |
| PHUSE US |
2023 |
RBM and Failure Prediction Using Python for Health Monitoring Devices |
Vidya Muthukumar |
source
presentation source |
7 |
| PHUSE EU |
2022 |
Harnessing Routinely Generated git, github and Package-specific Metadata to Build a Portal into Open-source Projects [presentation] |
Mathieu Cayssol,
James Black |
source
video |
18 |
| SESUG |
2022 |
A Two-Staged Local Regression Based Binning Method for Weight of Evidence Transformation in Credit Scoring Models |
Hui Wang,
Shirong Huang,
Emma Zhou,
Erin Martin |
source |
30 |
| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
David J. Corliss |
source |
12 |
| SESUG |
2022 |
Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences |
Tyler Hicks,
Graham G. Rifenbark |
|
9 |
| SESUG |
2022 |
Using Parallel Analysis to Determine the Dimensionality of Students' Perspectives of Online Caring |
Abbas S. Tavakoli,
Kathrine Jones,
Phyllis Raynor |
source |
12 |
| WUSS |
2022 |
Attribute Reduction for Continuous Dependent Variables in SAS |
Alec Zhixiao Lin |
source |
20 |
| WUSS |
2022 |
Customizable SAS Graphs for Bias Analysis |
Natasha Oza,
Jesse Albert Canchola |
source |
26 |
| WUSS |
2022 |
Story telling with SAS Visual Statistics |
Jim Box,
Laura Watson |
source |
8 |
| WUSS |
2022 |
Study of cause and effect in medical research via SAS Statistical package |
Oleg Korovyanko |
source |
11 |
| PharmaSUG |
2022 |
A SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method |
Natasha Oza,
Ben Wang,
Jesse Albert Canchola |
source |
13 |
| PharmaSUG |
2022 |
Estimating Differences in Probabilities (Marginal Effects) with Confidence Interval |
Jun Ke,
Kelly Chao,
Corey Evans |
source |
4 |
| PharmaSUG |
2022 |
Generating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention |
Sherrine Eid,
Samiul Haque,
S. Robert Collins |
source |
8 |
| PharmaSUG |
2022 |
Potential features analysis affect Covid-19 spread |
Yida Bao,
Philippe Gaillard |
source |
11 |
| PharmaSUG |
2022 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Matthew T. Slaughter,
Isaiah Lankham |
source |
22 |
| PharmaSUG |
2022 |
Standardizing Procedures for Generating Dose Proportionality Figures to Improve Programming Efficiency |
Jianli Ping,
Krishna Sivakumar |
source |
11 |
| PHUSE US |
2022 |
Machine Learning in R to Predict Outcomes from Biomarker Data [presentation] |
Benno F. Kurch,
Prakash Dev |
source
video |
21 |
| PHUSE EU |
2021 |
An overview of regression approaches for the competing risks data |
Oksana Mykhailova,
Julia Ditkovska |
source
video
presentation source |
6 |
| PHUSE EU |
2021 |
Automated Testing of the Programming Workflow Using Cypress [presentation] |
Darwin Hadley |
source
video |
15 |
| PHUSE EU |
2021 |
Best Practices: Analysing Classical Clinical Trial Data with ML Methods [presentation] |
Uwe Pritzsche |
source
video |
10 |
| PHUSE EU |
2021 |
Clinical Design - Visualisation and Analysis Using the Interactive Application by R Shiny |
Athira Sudhakar,
Mahesh Divakaran |
source
video |
7 |
| PHUSE EU |
2021 |
Evaluating the Predictive Accuracy of Survival Models with PROC PHREG |
Lotte Jacobs,
Roxane Debrus |
source
video
presentation source |
7 |
| PHUSE EU |
2021 |
HoW: RWD Applications in Pharma with a Focus on Clinical Trials [presentation] |
Berber Snoeijer,
Samiul Haque |
source |
47 |
| PHUSE EU |
2021 |
Statistical Approaches in Complex Efficacy Analysis for Vaccine Trials [presentation] |
Drisya C A,
Nijitha L M |
source
video |
10 |
| PHUSE EU |
2021 |
Statistical Training for Health Technology Assessment Statistical Programmers |
Anastasia Kokoreva,
William Malbecq |
source
video
presentation source |
7 |
| PHUSE EU |
2021 |
Studyathons: A New Way of Organising and Promoting Multidisciplinary Collaborations in Biomedical Open Science [presentation] |
Julia Kurps,
Maria Escala-Garcia |
source
video |
22 |
| SESUG |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| SESUG |
2021 |
Screening, Binning, Transforming Predictors for a Generalized Logit Model |
Bruce S. Lund |
source |
17 |
| SESUG |
2021 |
Statistical Test Selector (STS) For Researchers |
Kannan Deivasigamani,
Douglas Lunsford |
source |
11 |
| SESUG |
2021 |
Tips for Customizing Graphs Using Real Coronavirus Testing Data |
Dennis J. Beal |
source |
7 |
| SESUG |
2021 |
Understanding the Effects of Campus Safety on College Student Retention: A Panel Data Analysis |
Maham Khan,
James Farley,
Zheng Zhong,
Glendalis Gonzalez,
Shabnam Mehra |
source |
8 |
| SESUG |
2021 |
Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry |
Chun Du |
source |
11 |
| SESUG |
2021 |
Using QUANTREG to Examine time and Drug on Histamine HA level in Mice |
Abbas S. Tavakoli,
Navid S. Tavakoli |
source |
7 |
| PHUSE US |
2021 |
Automated Validation of Clinical Trial Analysis and Reporting Deliverables Using 'testthat' [presentation] |
Amin Shirazi,
Jane X. Liao |
source
video |
35 |
| PHUSE US |
2021 |
Comparative Characteristics of Logistic Regression Implementation in SAS and R in the Example of Cardiovascular Diseases [presentation] |
Serhii Kashyn |
source
video |
22 |
| PHUSE US |
2021 |
Exploring Categorical Data Using Unsupervised Graph-based Machine Learning [presentation] |
Irina Kotenko,
Kostiantyn Drach |
source
video |
34 |
| PHUSE US |
2021 |
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions |
Han Fu,
Shahrul Mt-Isa |
source
video
presentation source |
10 |
| PharmaSUG |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| PharmaSUG |
2021 |
Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses |
Girish Kankipati,
Jai Deep Mittapalli |
source |
20 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| PharmaSUG |
2021 |
Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers |
Yun (Julie) Zhuo |
source |
10 |
| SGF |
2021 |
A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples |
Isaiah Lankham,
Matthew T. Slaughter |
source |
22 |
| SGF |
2021 |
A SAS Macro to Perform Kaplan-Meier Multiple Imputation for Survival Analyses with Competing Events |
Jialin Han,
Sai Liu,
Margaret R. Stedman,
Maria E. Montez-Rath |
source |
8 |
| SGF |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source
presentation |
20 |
| SGF |
2021 |
Bayesian Analysis of GLMMs Using PROC BGLIMM |
Walter W. Stroup |
source
pdf |
25 |
| SGF |
2021 |
Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression |
Carl P. Wilson |
source
sas |
10 |
| SGF |
2021 |
Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression |
Steven C. Myers |
source
presentation
sas |
39 |
| SGF |
2021 |
Investing in Education Intelligently |
Sam Edison,
Rushya Puttam,
Akhil Emani,
Nithisha Katta |
source
presentation |
7 |
| SGF |
2021 |
Let's enjoy the computer vision using SAS Viya! |
Shinjo Yada,
Ryuji Uozumi |
source |
19 |
| SGF |
2021 |
Modeling Causal Effects Using SAS/STAT |
John Amrhein,
McDougall Scientific |
source |
21 |
| SGF |
2021 |
Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last |
George S. Habek,
Suman Kumar Das |
source
presentation |
24 |
| SGF |
2021 |
Pandemic Pandemonium |
Hannah Flynt,
Maryam Taherirani,
Sean Everett,
Trinh Phan |
source |
7 |
| SGF |
2021 |
Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data |
Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang |
source
presentation |
7 |
| SGF |
2021 |
Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All |
Zhengming Chen,
Bowen Zheng |
source
presentation |
11 |
| SGF |
2021 |
Understanding the Effects of Campus Safety on College Student Retention: A Panel Data Analysis |
Zhong Zheng,
James Farley,
Maham Khan |
source
presentation |
7 |
| SGF |
2021 |
Weight of Evidence, Dummy Variables and Degrees of Freedom |
Bruce S. Lund |
source
sas
presentation
pdf |
15 |
| PHUSE EU |
2020 |
How to Limit Bias in Observational Studies Analysis - Propensity Score Matching Versus Logistic Regression |
Roxane Debrus |
source
video
presentation source |
12 |
| PHUSE EU |
2020 |
MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION |
Daria Shamaida |
source
video
presentation source |
8 |
| PHUSE EU |
2020 |
Testing, Testing [presentation] |
Ismini Charalambous |
source
video |
33 |
| SESUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SESUG |
2020 |
Application and comparison with several types of Ensemble Algorithms |
Yida Bao,
Philippe Gaillard |
source |
6 |
| SESUG |
2020 |
Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration |
Melvin T. Alexander |
source |
25 |
| SESUG |
2020 |
Outlier Detection and Treatment |
Ross Bettinger |
source |
29 |
| SGF |
2020 |
%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building |
David R. Nelson,
Siew Wong-Jacobson |
source |
20 |
| SGF |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2020 |
A Survey of Methods in Variable Selection and Penalized Regression |
Yingwei Wang |
source |
17 |
| SGF |
2020 |
Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt |
Alex Chaplin |
source |
16 |
| SGF |
2020 |
Analyzing Non-normal Data: Application to Missing Data Problems |
Niloofar Ramezani |
source |
10 |
| SGF |
2020 |
Analyzing the Factors Impacting Suicidal Behavior in American Youth |
Ashlesha Sampathi |
source |
7 |
| SGF |
2020 |
Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya |
Petri Roine |
source |
9 |
| SGF |
2020 |
Automation in SAS Visual Data Mining and Machine Learning |
Wendy Czika |
source |
26 |
| SGF |
2020 |
Building Two Regression Lines Is Better Than Building One [presentation] |
G Liu |
source |
8 |
| SGF |
2020 |
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards |
Andrea Knezevic,
Sujata Patil |
source |
10 |
| SGF |
2020 |
Dealing with Missing Data in Epidemiological and Clinical Research |
Andrew T. Kuligowski,
Lida Gharibvand |
source |
6 |
| SGF |
2020 |
Developing Credit Scores with Telco Data Using Machine Learning and Agile Methodology |
Luciano Diettrich |
source |
14 |
| SGF |
2020 |
Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro |
Katelyn J. Ware,
Paul Egeler |
source |
11 |
| SGF |
2020 |
Economic Impacts of Sea Level Rise on Coastal Real Estate |
Austin Willoughby |
source |
9 |
| SGF |
2020 |
Enabling Real-Time Stability Monitoring using SAS Viya and SAS Event Stream Processing |
Sanjeev Heda |
source |
12 |
| SGF |
2020 |
Estimating Unknown Change Points and Variation Using SAS |
Depeng Jiang,
Lin Yan,
Zhongyuan Zhang,
Shaoping Jiang |
source |
14 |
| SGF |
2020 |
Evolutionary Feature Selection for Machine Learning |
Nandini Rakala |
source |
12 |
| SGF |
2020 |
Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies |
David Olaleye |
source |
22 |
| SGF |
2020 |
Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models |
Thu Dinh,
Goutam Chakraborty |
source |
23 |
| SGF |
2020 |
Fitting Statistical Models with PROC MCMC |
Mark Ghamsary |
source |
26 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
How to Explain Your Black-Box Models in SAS Viya |
Funda Güneş |
source |
26 |
| SGF |
2020 |
Human Bias in Machine Learning: How Well Do You Really Know Your Model? |
Jim Box |
source |
14 |
| SGF |
2020 |
Incorporating Auxiliary Information into Your Model Using Bayesian Methods in SAS Econometrics |
Matthew Simpson |
source |
20 |
| SGF |
2020 |
Is it possible to reduce smoking by increasing taxes? An analysis on Danish data using SAS software |
Anders Milhøj |
source |
13 |
| SGF |
2020 |
Machine Learning Approach to Combat the Opioid Epidemic |
Navjot Kaur |
source |
15 |
| SGF |
2020 |
Model-Based Risk-Adjustment in Clinical Outcome Research |
Jiming Fang,
Feng Qiu |
source |
10 |
| SGF |
2020 |
Modelling Imbalanced Classes |
Humphrey Brydon |
source |
6 |
| SGF |
2020 |
Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS |
Bethany A. Bell |
source |
27 |
| SGF |
2020 |
Multinomial vs. Ordinal. Does model selection make a difference? for SAS Global Forum 2020 |
Corey Leadbeater |
source |
15 |
| SGF |
2020 |
Obtaining National Readmission Estimates: Examining Readmission Rates in the United States |
Patrick Karabon |
source |
9 |
| SGF |
2020 |
Piecewise Latent Growth Curve Models to Test for Discontinuities in Disease Prevalence Trends |
Lin Yan |
source |
10 |
| SGF |
2020 |
Pricing Life Insurance Contracts with Early Exercise Features Using Neural Networks |
Helgard Raubenheimer |
source |
9 |
| SGF |
2020 |
Propensity Score Matching with Survey Data |
Bocheng Jing |
source |
14 |
| SGF |
2020 |
Rare Events or Non-Convergence with a Binary Outcome? The Power of Firth Regression in PROC LOGISTIC |
Patrick Karabon |
source |
9 |
| SGF |
2020 |
Recent Developments in Survival Analysis with SAS Software |
G. Gordon Brown |
source |
9 |
| SGF |
2020 |
Reducing Ecological Footprint: Examining Panel Data |
Neil Belford |
source |
7 |
| SGF |
2020 |
Relationship analysis and customer churn forecasting in a financial cooperative institution |
Carolina Silva,
Brunno Sousa Ramos |
source |
7 |
| SGF |
2020 |
Show Me the Money! Preparing Economics Students for Data Science Careers |
Steven C. Myers |
source |
19 |
| SGF |
2020 |
Simulating Data for Complex Linear Models |
Phil Gibbs,
Kathleen Kiernan |
source |
20 |
| SGF |
2020 |
Simulating Time Series Analysis Using SAS - Part II Cointegration [presentation] |
Ismail E. Mohamed |
source |
24 |
| SGF |
2020 |
Smarter and Faster with SAS Visual Analytics |
Rick Styll |
source |
13 |
| SGF |
2020 |
The New solveBlackbox Action in SAS Optimization 8.5 |
Edward P. Hughes |
source |
14 |
| SGF |
2020 |
The Past, Present, and Future of Training SAS Professionals in a University Program |
Jonathan W. Duggins,
James E. Blum |
source |
6 |
| SGF |
2020 |
The Plight of the Honeybee |
Rachael Bishop |
source |
8 |
| SGF |
2020 |
The Seven Most Popular Machine Learning Algorithms for Online Fraud Detection and Their Use in SAS |
Patrick Maher |
source |
6 |
| SGF |
2020 |
Time After Time: D-I-D and ITS Models in SAS |
Margaret Warton |
source |
21 |
| SGF |
2020 |
Turning the Crank. A Simulation of Optimizing Model Retraining |
David R. Duling |
source |
17 |
| SGF |
2020 |
Use SAS to Model Non-Linearity |
Xiaoting Wu,
Donald S. Likosky |
source |
12 |
| SGF |
2020 |
Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada |
Jason A. Oliver |
source |
19 |
| SGF |
2020 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| SGF |
2020 |
Variable Selection Using Random Forests in SAS |
Denis Nyongesa |
source |
11 |
| SGF |
2020 |
What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective |
Tao Wang |
source |
13 |
| SGF |
2020 |
You Are Using PROC GLM Too Much (and What You Should Be Using Instead) |
Peter L. Flom |
source |
22 |
| PharmaSUG |
2020 |
%MVMODELS: a Macro for Survival and Logistic Analysis |
Jeffrey P. Meyers |
source |
23 |
| PharmaSUG |
2020 |
A Brief Introduction to Performing Statistical Analysis in SAS, R & Python |
Erica Goodrich,
Daniel Sturgeon |
source |
22 |
| PharmaSUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
14 |
| PharmaSUG |
2020 |
Demographic Table and Subgroup Summary Macro %TABLEN |
Jeffrey P. Meyers |
source |
12 |
| PharmaSUG |
2020 |
Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models |
Thu Dinh,
Goutam Chakraborty |
source |
22 |
| PharmaSUG |
2020 |
Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript |
Shuozhi Zuo,
Hong Yan |
source |
11 |
| PharmaSUG |
2020 |
Gradient Descent: Using SAS for Gradient Boosting |
Karen Walker |
source |
11 |
| PharmaSUG |
2020 |
How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process |
Mirai Kikawa,
Yuichi Nakajima |
source |
9 |
| PharmaSUG |
2020 |
One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning |
Carey G. Smoak |
source |
5 |
| PharmaSUG |
2020 |
RStats: A R-Shiny application for statistical analysis |
Sean Yang,
Hrideep Antony,
Aman Bahl |
source |
8 |
| PharmaSUG |
2020 |
You Are Using PROC GLM Too Much (and What You Should Be Using Instead) |
Peter L. Flom,
Deanna Naomi Schreiber-Gregory |
source |
15 |
| PHUSE US |
2020 |
A Comparison of Machine Learning Algorithms for Binary Classification of Free-text Fields Using SAS, R, and Python |
Michael S Rimler |
source
presentation source |
12 |
| PHUSE US |
2020 |
Good Cooperation Between SAS and R for Regulatory Submission |
Jingyuan Chen |
source
presentation source |
8 |
| PHUSE US |
2020 |
Penalized Likelihood Logistic Regression for Sparse Data Using Data Priors |
Martin Dörr |
source
presentation source |
5 |
| PHUSE US |
2020 |
The Importance of General Linear Models (GLMs) in Clinical Research |
Ritesh Dhimmar,
Venkata Ikkurthy |
source |
12 |
| PHUSE EU |
2019 |
Automated Test Framework for SAS Macros |
Sven Prasse |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Multiple imputation as a valid way of dealing with missing data |
Vadym Kalinichenko |
source
presentation source |
11 |
| PHUSE EU |
2019 |
SAS/STAT High-performance procedures contrasted with their legacy counterparts |
Roman Ganzha |
source
presentation source |
6 |
| PHUSE EU |
2019 |
SMART RPA - powered by Machine Learning |
Charan Kumar Kuyyamudira Janardhana |
source
presentation source |
10 |
| PHUSE EU |
2019 |
Sub-population Detection Using Graph-based Machine Learning |
Sergey Glushakov,
Kostiantyn Drach |
source |
28 |
| PHUSE EU |
2019 |
Symbolic Regression: Survival of the Best Fit |
Hector Leitch |
source
presentation source |
9 |
| SESUG |
2019 |
Advanced Statistical Modeling within Machine Learning and Big Data Analytics |
Niloofar Ramezani,
George Mason |
source |
16 |
| SESUG |
2019 |
Analyzing Airbnb reviews using SAS Text Miner and Predicting the factors contributing for higher ratings |
Ashlesha Sampathi |
source |
15 |
| SESUG |
2019 |
Bootstrapping Regression Models using PROC SURVEYSELECT |
Bryce Whitehead,
Austin R. Brown |
source |
7 |
| SESUG |
2019 |
Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations |
Censored Observations |
source |
9 |
| SESUG |
2019 |
Glass Box Neural Networks |
Ross Bettinger |
source |
14 |
| SESUG |
2019 |
Hybrid Rare Event Sampling Technique |
Ross Bettinger |
source |
15 |
| SESUG |
2019 |
Intervention at the Library: Assessing the Effect of an Event |
David A. Dickey,
John Vickery |
source |
19 |
| SESUG |
2019 |
Introduction to Propensity Score Modeling and Treatment Effect Estimation |
Jason Brinkley |
source |
13 |
| SESUG |
2019 |
Macros for Neural Network Modeling |
Ross Bettinger |
source |
23 |
| SESUG |
2019 |
Market Basket Analysis on Instacart |
Aravind Dhanabal |
source |
16 |
| SESUG |
2019 |
Probability Plots for Exploratory Data Analysis |
Dennis J. Beal,
Oak Ridge |
source |
8 |
| SESUG |
2019 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| SESUG |
2019 |
Scatterplots: Basics, Enhancements, Problems, and Solutions |
Peter L. Flom |
source |
13 |
| SESUG |
2019 |
Summarizing some conventional methods to classify a binary target |
Yida Bao,
Philippe Gaillard |
source |
10 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SESUG |
2019 |
The Thorn in My Side!! Logistic Regression Continuous Variables that Violate the Assumption of Linearity on the Log-odds (Logit) Scale: How to Identify and What to Do? |
Janet M. Grubber,
Cynthia J. Coffman |
source |
13 |
| SESUG |
2019 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| SCSUG |
2019 |
Do you know when your data is lying to you? The HOW of Regression Analysis with Quantitative and Qualitative Variables |
Steven C. Myers |
source |
20 |
| SCSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
source |
28 |
| SCSUG |
2019 |
Pattern Analysis and Predictive Policing Using Socio-Economic Factors |
Trishla Mishra |
source |
12 |
| MWSUG |
2019 |
Classifying Risk in Life Insurance using Predictive Analytics |
Sai Gopi Krishna Govindarajula |
|
6 |
| MWSUG |
2019 |
Comparison of three methods for transforming predictor variables to improve model fit using SAS |
Douglas Thompson |
|
13 |
| MWSUG |
2019 |
Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models |
Thu Dinh |
|
23 |
| MWSUG |
2019 |
Do undergraduates need prerequisites for common courses? |
Lin Qi,
Archana Chinnaswamy,
Miriam McGaugh |
|
6 |
| MWSUG |
2019 |
Evaluate your SCORE: Logistic regression prediction comparison using the SCORE statement |
Robert G. Downer |
|
6 |
| MWSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
|
28 |
| MWSUG |
2019 |
Exploring and characterizing time series data in a non-regression based approach |
Steven C. Myers |
|
20 |
| MWSUG |
2019 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
|
22 |
| MWSUG |
2019 |
Logistic Regression, Basics and Beyond |
Bruce S. Lund |
|
35 |
| MWSUG |
2019 |
Scatterplots: Basics, Enhancements, Problems, and Solutions |
Peter L. Flom |
|
13 |
| MWSUG |
2019 |
Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro |
Katelyn Ware,
Rachel Baxter |
|
13 |
| WUSS |
2019 |
A strategy for speed Dating |
YuTing Tian |
source |
21 |
| WUSS |
2019 |
Automating a Summary Report of PSM Model and Match Results |
Desiree Hall |
source |
9 |
| WUSS |
2019 |
Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS |
Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja |
source |
10 |
| WUSS |
2019 |
General, Age-Specific, and Total Fertility Rates in Montana, 2008-2017 |
Matthew Ringel |
source |
7 |
| WUSS |
2019 |
Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC |
Elsa Vazquez Arreola |
source |
10 |
| WUSS |
2019 |
One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning |
Carey G. Smoak |
source |
5 |
| WUSS |
2019 |
Ordinal vs. Multinomial: Does Model Selection Make a Difference? |
Corey Leadbeater |
source |
14 |
| WUSS |
2019 |
Polynomial Regression for Modeling Curvilinear Data: A Biological Example |
Elisha Johnston |
source |
20 |
| WUSS |
2019 |
PROC DTREE VS PROC HPSPLIT |
YuTing Tian |
source |
19 |
| WUSS |
2019 |
Telecom Industry: Customer Churn Prediction |
Aakash Dwivedi |
source |
7 |
| WUSS |
2019 |
Variable Selection Using Random Forests in SAS |
Denis Nyongesa |
source |
11 |
| PharmaSUG |
2019 |
A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently |
Chia-Ling (Ally) Wu |
source |
6 |
| PharmaSUG |
2019 |
An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency |
Xiangchen (Bob) Cui,
Letan (Cleo) Lin |
source |
23 |
| PharmaSUG |
2019 |
Bayesian Methods for Treatment Design in Rare Diseases |
Xuan Sun,
Ruohan Wang |
source |
5 |
| PharmaSUG |
2019 |
Experiences in Building CDISC Compliant ADaM Dataset to Support Multiple Imputation Analysis for Clinical Trials |
Xiangchen (Bob) Cui |
source |
20 |
| PharmaSUG |
2019 |
Hands-on Training for Machine Learning Programming |
Kevin Lee |
source |
12 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare |
Michael S Rimler,
Matt Pitlyk |
source |
18 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| PharmaSUG |
2019 |
SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials |
Lingling Li |
source |
11 |
| PharmaSUG |
2019 |
Stratified COX Regression: Five-year follow-up of attrition risk among HIV positive adults, Bamako |
Mamadou Dakouo,
Kriss Harris,
Seydou Moussa Coulibaly Coulibaly |
source |
12 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| PharmaSUG |
2019 |
Using Real-World Evidence to Affect the Opioid Crisis |
Sherrine Eid,
Andrea Coombs |
source |
10 |
| SGF |
2019 |
A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes |
Audrey Whittle |
source |
8 |
| SGF |
2019 |
A Selective Overview of Panel Data with Applications in SAS |
Oral Capps |
source |
26 |
| SGF |
2019 |
Airbnb New York City: Demystifying the Superhost Program |
Soumya Ranjan Kar Choudhury |
source |
7 |
| SGF |
2019 |
Analyzing Restricted Mean Survival Time Using SAS/STAT |
Changbin Guo,
So Ying |
source |
21 |
| SGF |
2019 |
Applying Propensity Score Methods to Complex Survey Data Using PROC PSMATCH |
Patrick Karabon |
source |
10 |
| SGF |
2019 |
Are You a Lifelong Learner? Validate Your Skills and Stand Out with SAS Certifications! |
Andrew Howell |
source |
12 |
| SGF |
2019 |
Asking the Right Questions: A study in Multiclass Imbalanced Classification for H1-B Visas |
Matthew Bunker,
Owen Kelly |
source |
7 |
| SGF |
2019 |
Conducting Tests in Multivariate Regression |
Chii-Dean Joey Lin |
source |
13 |
| SGF |
2019 |
Creating a Strong Business Case for SAS Event Stream Processing |
Henrique Consolini Danc |
source |
16 |
| SGF |
2019 |
Developing a Credit Risk Model Using SAS |
Amos Odeleye |
source |
16 |
| SGF |
2019 |
Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis |
Charlotte Baker |
source |
16 |
| SGF |
2019 |
Evaluating and Improving the Efficiency of Inference Rules for Segmentation in SAS |
Alec Zhixiao Lin |
source |
9 |
| SGF |
2019 |
Exploring Computer Vision in Deep Learning: Object Detection and Semantic Segmentation |
Xindian Long,
Maggie Du,
Xiangqian Hu |
source |
20 |
| SGF |
2019 |
Factors Affecting Mental Health in Employees and Their Relation to Suicide Rates at a Workplace |
Shambhavi Pandey |
source |
11 |
| SGF |
2019 |
Factors Influencing Academic Performance |
Onkar Mayekar,
Miriam McGaugh |
source |
9 |
| SGF |
2019 |
Getting Started with the SGPLOT Procedure |
Joshua M. Horstman |
source |
19 |
| SGF |
2019 |
Identifying Partisanship in Media Articles |
Alexander Lobman,
Lohit Bhandari,
Ravi Josyula,
Nhan Nguyen |
source |
7 |
| SGF |
2019 |
IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables |
Julio Alberto Campa Vega Filho |
source |
19 |
| SGF |
2019 |
Improve Your AML Monitoring While Reducing Costs with SAS Viya |
Calvin Crase,
Chris St. Jeor |
source |
11 |
| SGF |
2019 |
Integrating Case Studies in a Health Analytics Curriculum |
Besa Smith,
Tyler C. Smith |
source |
21 |
| SGF |
2019 |
Interaction between SAS and Python for Data Handling and Visualization |
Yohei Takanami |
source |
22 |
| SGF |
2019 |
Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software |
David Richard Cutler |
source |
21 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
Multiple Imputation for Skewed Multivariate Data: A Marriage of the MI and COPULA Procedures |
Zhixin Lun,
Ravindra Khattree |
source |
9 |
| SGF |
2019 |
Playing Favorites: Our Top 10 Model Studio Features in SAS Visual Data Mining and Machine Learning |
Wendy Czika,
Peter Gerakios |
source |
16 |
| SGF |
2019 |
Predicting Inside the Dead Zone of Complete Separation in Logistic Regression |
Robert Derr |
source |
15 |
| SGF |
2019 |
Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure |
Jennifer Hargrove,
Pamela Hipp,
Glenn Sidle |
source |
12 |
| SGF |
2019 |
Predicting the success of a startup company |
Vrushank Shah,
Miriam McGaugh |
source |
11 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2019 |
Review and Comparing (Analyzing) Relationship between Teacher Judgment and Student Performance in North Carolina |
Sareh Meshkinfam,
Julie S. Ivy,
Amy C. Reamer |
source |
15 |
| SGF |
2019 |
SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake |
Jagruti Kanjia,
Dominique Latour,
Holly Sweeney |
source |
35 |
| SGF |
2019 |
SAS Viya: Experience Gained through Multiple Installations and Implementations |
John Schmitz |
source |
14 |
| SGF |
2019 |
SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software |
Phil Gibbs,
Randy Tobias |
source |
18 |
| SGF |
2019 |
Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
21 |
| SGF |
2019 |
Survival Estimates Prediction with Survey Data |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee |
source |
12 |
| SGF |
2019 |
The Aftermath What Happens after you Deploy Your Models and Decisions |
David R. Duling |
source |
18 |
| SGF |
2019 |
The Anatomy of an Artificial Intelligence Solution for Automation of Underwriting Decision-Making |
Tanya Kolosova |
source |
17 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SGF |
2019 |
The Relationship Between Social Determinants of Health and Healthcare Utilization |
Ryan C. Butterfield,
Melissa Gottschalk,
Laura Soloway,
Paul A. LaBrec |
source |
16 |
| SGF |
2019 |
Transforming Ordinal Predictors to Numeric For Binary Logistic Models |
Bruce S. Lund |
source |
10 |
| SGF |
2019 |
Using Cost-Sensitive Predictive Modeling in Digital Marketing |
Romana Sipoldova |
source |
7 |
| SGF |
2019 |
Using SAS Macros to Analyze Lifetime Data with Left Truncation |
Zhen-Huan Hu |
source |
11 |
| SGF |
2019 |
Using SAS Procedures to Fit Rasch Models |
Tianshu Pan,
Yumin Chen |
source |
10 |
| SGF |
2019 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| PHUSE US |
2019 |
A SAS Macro for Variable Ratio Treatment vs. Placebo in Propensity Score Matching |
Punjita Baranwal,
Prashant Kulkarni |
source
presentation source |
13 |
| PHUSE US |
2019 |
Artificial Intelligence and Healthcare |
Aman Bahl,
Hrideep Antony |
source
presentation source |
10 |
| PHUSE US |
2019 |
Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style |
Corinna Miede |
source
presentation source |
12 |
| PHUSE US |
2019 |
Quantifying Dynamic Risk with Predictive Analytics |
Susan Olson,
Connor English |
source
presentation source |
7 |
| PHUSE US |
2019 |
Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials |
Michael Farnum |
source
presentation source |
12 |
| SCSUG |
2018 |
Are you in danger of stroke? An insight into the leading causes. |
Anjali Bansal |
source |
17 |
| SCSUG |
2018 |
Backward Elimination in Firth's penalized partial likelihood Approach: Firth's Logistic and Cox Models |
Chao Zhang |
source |
7 |
| SCSUG |
2018 |
Collaborations in SAS Programming; or Playing Nicely with Others |
Kristi Busico Metzger |
source |
9 |
| SCSUG |
2018 |
Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model |
Mei Najim |
source |
17 |
| SCSUG |
2018 |
NBA Draft Analytics: Boom or Bust? |
Isaiah Hartman |
source |
17 |
| SCSUG |
2018 |
Predicting the Federal Reserve?s Next Federal Funds Rate Decisions |
Nhan Nguyen |
source |
13 |
| SCSUG |
2018 |
Predicting the success of a startup company |
Vrushank Shah |
source |
10 |
| PHUSE EU |
2018 |
A Case Study of Fitting Time-dependent Covariates in Cox Model Using SAS |
Pankaj Kumar |
source
presentation source |
5 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Introduction to Machine Learning |
Nicolas Dupuis,
Kevin Lee |
source
presentation source |
9 |
| PHUSE EU |
2018 |
Machine Learning with SAS |
Cathal Gallagher,
Jiangtang Hu |
source
presentation source |
3 |
| PHUSE EU |
2018 |
Methods for Survival Analysis with Competing Risks |
Laura Marquis,
Leonie Wagner |
source
presentation source |
8 |
| PHUSE EU |
2018 |
Propensity Score Matching |
Stephanie Fechtner |
source
presentation source |
9 |
| SESUG |
2018 |
A Beginner's Babblefish: Basic Skills for Translation Between R and SAS |
Sarah Woodruff |
source |
19 |
| SESUG |
2018 |
ANALYSIS OF FACTORS INFLUENCING DROPOUTS IN SOPHOMORE ENROLLMENT |
Apoorva Chandrasekaran |
source |
14 |
| SESUG |
2018 |
Comparison of SAS, SAS University Edition, and Microsoft Excel in Collaborative Data Analysis of Physical Properties by Scientist and Statistical Programmer |
John Schreiber |
source |
6 |
| SESUG |
2018 |
Computing Predicted Values and Residuals from Data Sets Containing Classification Variables with Large Numbers of Levels |
Jamie McClave Baldwin,
Ramon C. Littell,
James McClave |
source |
14 |
| SESUG |
2018 |
Enrollment Management Utilities |
Marla Mamrick,
Philip Moore |
source |
5 |
| SESUG |
2018 |
Fight Human Trafficking with Text Analytics |
Stuti Mehrotra,
Miriam McGaugh |
source |
10 |
| SESUG |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| SESUG |
2018 |
Getting Started with the SGPLOT Procedure |
Joshua M. Horstman |
source |
18 |
| SESUG |
2018 |
Investigation of Impact on Smoking due to Vaporizing in High Schools |
Justin Williams |
source |
17 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| SESUG |
2018 |
Password Protection of SAS Enterprise Guide Projects |
Thomas E. Billings |
source |
7 |
| SESUG |
2018 |
Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner |
Sivateja Reddy Kandula |
source |
12 |
| SESUG |
2018 |
Predictive Modeling for Healthcare Professionals: The use of time-series analysis for health-related data and the application of ARIMA modeling techniques in SAS for Public Health Practice |
Camillia R. Comeaux |
source |
6 |
| SESUG |
2018 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| SESUG |
2018 |
Undergraduate Student Retention, Can we catch them before they fall? |
Lohit Bhandari |
source |
6 |
| SESUG |
2018 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| MWSUG |
2018 |
Alternative Methods of Regression when OLS is Not Right |
Peter L. Flom |
|
22 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| MWSUG |
2018 |
Confounded? This example shows how to use SAS chi-square tests, correlations and logistic regression to unconfound a result. |
Michael C. Grierson |
|
13 |
| MWSUG |
2018 |
Getting Started with the SGPLOT Procedure |
Joshua M. Horstman |
|
18 |
| MWSUG |
2018 |
How to Score Big with SAS Solutions: Various Ways to Score New Data with Trained Models |
Scott Koval |
|
6 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
23 |
| MWSUG |
2018 |
Screening, Transforming, and Fitting Predictors for Cumulative Logit Model |
Bruce S. Lund |
|
22 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| MWSUG |
2018 |
Using your FREQ effectively: Displays to Decipher Proportional Odds in Ordinal Regression |
Robert G. Downer |
|
11 |
| WUSS |
2018 |
An Efficient Way to Output Univariate Analysis Results with Multiple Predictors |
Bocheng Jing,
Kathy Fung,
W. John Boscardin |
source |
7 |
| WUSS |
2018 |
Analyzing international assessments: An ensemble and model comparison approach |
Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara |
source |
13 |
| WUSS |
2018 |
Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG |
L. Grisell Diaz-Ramirez,
Siqi Gan,
Sei J. Lee,
Alexander Smith,
John Boscardin |
source |
14 |
| WUSS |
2018 |
Crime in the USA: Using SAS to Analyze Recidivism Rates |
Philip Mayevskiy |
source |
8 |
| WUSS |
2018 |
Deep neural nets in SAS Enterprise Miner |
Russell M. Lavery |
source |
49 |
| WUSS |
2018 |
Dissecting the Burnout Factor for Modeling Mortgage Refinancing |
Alec Zhixiao Lin |
source |
6 |
| WUSS |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| WUSS |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| WUSS |
2018 |
Getting Started with the SGPLOT Procedure |
Joshua M. Horstman |
source |
18 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Machine Learning - Why we should know it and how it works |
Kevin Lee |
source |
8 |
| WUSS |
2018 |
Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker |
source |
17 |
| WUSS |
2018 |
Password Protection of SAS Enterprise Guide Projects |
Thomas E. Billings |
source |
7 |
| WUSS |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| WUSS |
2018 |
The Anatomy of Artificial Intelligence Solution for Automation of Underwriting Decision-Making Process. |
Samuel Berestizhevsky,
Tanya Kolosova |
source |
16 |
| WUSS |
2018 |
Using Net Lift Measure to Model the Effects of Changes in Interest Rates on Mortgage Prepayment |
Alec Zhixiao Lin,
Xiao Hu |
source |
15 |
| PHUSE US |
2018 |
Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry |
Michael S Rimler,
Jorine Putter |
source
presentation source |
8 |
| PHUSE US |
2018 |
Missing Data Imputation and Its Effect on the Accuracy of Classification |
Edwin Ponraj Thangarajan,
Giri Balasubramanian |
source
presentation source |
15 |
| PHUSE US |
2018 |
Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation |
Qais Hatim,
Emily McRae |
source
presentation source |
24 |
| PharmaSUG |
2018 |
A SAS Macro to Generate Information Rich Kaplan-Meier Plots |
Chia-Ling (Ally) Wu |
source |
11 |
| PharmaSUG |
2018 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| PharmaSUG |
2018 |
Build Models without Code with the new SAS Visual Interface |
Jim Box |
source |
12 |
| PharmaSUG |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
23 |
| PharmaSUG |
2018 |
Generating Receiver Operating Characteristic (ROC) curve using SAS Macros |
Jiaying Guo,
Isabella Wang |
source |
8 |
| PharmaSUG |
2018 |
Implementing the Rank-Preserving Structural Failure Time Model in SAS and R |
Bradford J. Danner,
Indrani Sarkar |
source |
8 |
| PharmaSUG |
2018 |
Let's Start Something New! A Beginner's Guide to Programming in the SAS CAS Environment |
Kevin Russell,
Gerry Nelson |
source |
15 |
| PharmaSUG |
2018 |
Machine Learning - Why we should know and How it works |
Kevin Lee |
source |
8 |
| PharmaSUG |
2018 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| PharmaSUG |
2018 |
Processing and Cleaning Streaming Data in SAS |
Mehmet Kocak |
source |
10 |
| PharmaSUG |
2018 |
Sense and Censorability: Learn censoring techniques with ADTTE for your survival |
Shilpakala Vasudevan |
source |
12 |
| PharmaSUG |
2018 |
Summary Table for Displaying Results of a Logistic Regression Analysis |
Lori S. Parsons |
source |
9 |
| SGF |
2018 |
!WRONG PAPER FIEL - WAITING for FIX! |
Nikki M. Carroll |
source |
9 |
| SGF |
2018 |
A Cautionary Tale of Using Machine Learning within Credit Risk in the Utilities Industry |
Spiros Potamitis,
Paul Malley |
source |
8 |
| SGF |
2018 |
A Study of Modeling Approaches for Predicting Dropout in a Business College |
Helmut Schneider,
Xuan Wang |
source |
8 |
| SGF |
2018 |
Alternative Variance Parameterizations in Count Data Models |
Robin High |
source |
14 |
| SGF |
2018 |
Analytics of Things: New Analytical Models for Creating Business Value from IoT Data |
Ryan Gillespie |
source |
11 |
| SGF |
2018 |
Application of Propensity Score Models in Observational Studies |
Nikki M. Carroll |
source |
9 |
| SGF |
2018 |
Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification |
Jessica Rudd |
source |
10 |
| SGF |
2018 |
Are New Modeling Techniques Worth It? |
Tom Zougas |
source |
8 |
| SGF |
2018 |
Bayesian Concepts: An Introduction |
John Amrhein,
Fei Wang |
source |
10 |
| SGF |
2018 |
Cause-Specific Analysis of Competing Risks Using the PHREG Procedure |
Changbin Guo |
source |
18 |
| SGF |
2018 |
Claim Analytics: A Litigation Prediction Case Study |
Mei Najim |
source |
18 |
| SGF |
2018 |
Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest |
Yuriy Chechulin |
source |
15 |
| SGF |
2018 |
Cost Analysis in Population Health Using SAS Real World Evidence |
Jay Paulson |
source |
13 |
| SGF |
2018 |
Creating a Spatial Weights Matrix for the SPATIALREG Procedure |
Alan Ricardo da Silva |
source |
17 |
| SGF |
2018 |
Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases |
Paulo Di Cellio Dias,
Marc Witarsa |
source |
25 |
| SGF |
2018 |
Demystify Income Models with Advanced Machine Learning Techniques for Ultimate Accuracy |
Vickey Chang |
source |
18 |
| SGF |
2018 |
Detecting Defective Equipment in the Healthcare Service Industry |
Sean Cohen,
Sarith Mohan |
source |
5 |
| SGF |
2018 |
Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
21 |
| SGF |
2018 |
Examining the Drivers of Hospital Re-admission of Type-2 Diabetic patients |
Shashank Reddy Gudipati |
source |
9 |
| SGF |
2018 |
Forecasting the Value of Fine Wines |
Joseph Breeden |
source |
9 |
| SGF |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| SGF |
2018 |
From Academy to Industry: An Experimental Student Journey [presentation] |
Francesco Costigliola |
source |
28 |
| SGF |
2018 |
Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures |
Gerhard Svolba |
source |
26 |
| SGF |
2018 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| SGF |
2018 |
Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment |
Joe Lorenz |
source |
10 |
| SGF |
2018 |
Improved Campaigning at Africa's Largest Pay TV Service Provider with SAS Marketing Optimization |
Jean De Villiers |
source |
16 |
| SGF |
2018 |
Improving Game Strategies with Data Analytics: The Case of Euroleague Professional Basketball [presentation] |
Raha Akhavan-Tabatabaei,
Cem Yigman |
source |
35 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| SGF |
2018 |
Just Enough SAS Cloud Analytic Services: CAS Actions for SAS Visual Analytics Report Developers |
Michael Drutar |
source |
14 |
| SGF |
2018 |
LinAcc: A SAS Macro for Assay Linearity and Accuracy Determination |
Jesse Albert Canchola,
Pari Hemyari |
source |
16 |
| SGF |
2018 |
Location Matters: Evidence from Spatial Econometric Analysis of Opioid Prescription Rates |
Jonathan Mccopp |
source |
21 |
| SGF |
2018 |
Measuring Response to the Ultimate Driving Machine: Consumer Sentiments and Brand Advertising |
Amit K Ghosh,
Goutam Chakraborty,
Praveen Kumar Kotekal |
source |
8 |
| SGF |
2018 |
Model-Based Fiber Network Expansion Using SAS Enterprise Miner and SAS Visual Analytics |
Nishant Sharma |
source |
5 |
| SGF |
2018 |
Multiple Regression Diagnostics in SAS: Predicting House Sale Prices [presentation] |
Karen Bui |
source |
7 |
| SGF |
2018 |
New Ways to Incorporate Continuous Predictors in Generalized Linear Models |
Anthony Salis,
Angela Wu,
Gordon Johnston |
source |
15 |
| SGF |
2018 |
Penalized Variable Selection and Quantile Regression in SAS : An Overview |
Russell M. Lavery |
source |
28 |
| SGF |
2018 |
Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER |
John M. Castelloe |
source |
17 |
| SGF |
2018 |
Prediction and Interpretation for Machine Learning Regression Methods |
David Richard Cutler |
source |
16 |
| SGF |
2018 |
Regime-Switching Models: Capturing Structural Changes in Time Series |
Xilong Chen,
Ji Shen |
source |
14 |
| SGF |
2018 |
Regression Model Building for Large, Complex Data with SAS Viya Procedures |
Weijie Cai,
Robert N. Rodriguez |
source |
22 |
| SGF |
2018 |
Ridge Regression and Multicollinearity: An In-Depth Review [presentation] |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| SGF |
2018 |
Risk Pathways: Using Machine Learning Techniques of SAS Viya to Understand Customer Risk Drivers |
Leigh Ann Herhold |
source |
14 |
| SGF |
2018 |
Robust Principal Component Analysis: Two Analyses in One |
Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha |
source |
11 |
| SGF |
2018 |
Robust Tuning for Machine Learning |
Alex Glushkovsky |
source |
22 |
| SGF |
2018 |
Role of Preventive Care and Lifestyle Changes in Chronic Diseases |
Asish Satpathy,
Satyajit Behari |
source |
13 |
| SGF |
2018 |
SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models |
David P. MacKinnon,
Matthew Valente |
source |
18 |
| SGF |
2018 |
Simple Methods for Repeatability and Comparability: Bland-Altman Plots, Bias, and Measurement Error |
Maribeth H. Johnson,
Jennifer L. Waller |
source |
12 |
| SGF |
2018 |
The Function Selection Procedure |
Bruce S. Lund |
source |
11 |
| SGF |
2018 |
The Life Expectancy of Phone Numbers in Escort Ads |
James Van Scotter,
Joni Shreve,
Denise J. McManus,
Miriam McGaugh |
source |
7 |
| SGF |
2018 |
The Power of Testing! An Automated SAS Enterprise Guide System for Testing |
Karine Désilets |
source |
23 |
| SGF |
2018 |
To Show or Not to Show? Using SAS Solutions to Maximize Patient Scheduling In Medical Clinics |
Mia Lyst,
Yijie Li |
source |
8 |
| SGF |
2018 |
Top 10 Tips for SAS Enterprise Miner Based on 20 Years' Experience |
Melodie Rush |
source |
21 |
| SGF |
2018 |
Using Predictive Analytics to Improve a Student Advising System |
Thanuja Sakruti,
Youyou Zheng |
source |
13 |
| SGF |
2018 |
Using SAS for Multiple Imputation and Analysis of Longitudinal Data |
Patricia A. Berglund |
source |
24 |
| SGF |
2018 |
Using SAS to Estimate Lagged Coefficients with the %partitionedGMM Macro |
Kyle Irimata,
Jeffrey Wilson |
source |
8 |
| SGF |
2018 |
Working Together for Public Health: Using SAS , Esri, and Tableau to Enhance Data Presentation |
Jennifer L. Han,
Miriam McGaugh |
source |
135 |
| SESUG |
2017 |
A macro of building predictive model in PROC LOGISTIC with AIC-optimal variable selection embedded in cross-validation |
Hongmei Yang |
source |
7 |
| SESUG |
2017 |
Applying Logistics Regression to Forecast Annual Organizational Retirements |
Alan Dunham |
source |
12 |
| SESUG |
2017 |
Backward Variable Selection for Logistic Regression Based on Percentage Change in Odds Ratio |
Evan Kwiatkowski |
source |
6 |
| SESUG |
2017 |
Binning of Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
20 |
| SESUG |
2017 |
Churn the Data Around - A Machine Learning Approach to Understanding Why Customers Leave |
Sean Ankenbruck |
source |
9 |
| SESUG |
2017 |
Decomposing the R-squared of a Regression Using the Shapley Value in SAS |
Charles D. Coleman |
source |
11 |
| SESUG |
2017 |
Exploring JMP Modeling Functionality Using Consumer Expenditure Data |
Joshua Klick |
source |
12 |
| SESUG |
2017 |
Finding the Gold in Your Data: An Overview of Data Mining |
David A. Dickey |
source |
25 |
| SESUG |
2017 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| SESUG |
2017 |
Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation Methods on Point and Interval Estimates when Data are MCAR, MAR, and MNAR |
Listwise Deletion |
source |
26 |
| SESUG |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
12 |
| SESUG |
2017 |
PMML & SAS: An Introduction to PMML and PROC PSCORE |
Andrew Gannon |
source |
9 |
| SESUG |
2017 |
SAS Macros for Time - Dependent Effects and Risk Factors on Survival |
Chao Zhang,
Manali Rupji,
Yuan Liu,
Jeanne Kowalski |
source |
6 |
| SESUG |
2017 |
Statistical Analyses of Public Health Surveys Using SAS Survey Package |
Trung Ha,
Julia Soulakova |
source |
6 |
| SESUG |
2017 |
Using Categorical Variables in Regression Analysis |
Jonas V. Bilenas |
source |
15 |
| SESUG |
2017 |
Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses |
Bobbie E. Frye,
James E. Bartlett |
source |
19 |
| SCSUG |
2017 |
Analysis of the effects of financial parameters on GDP and poverty using panel data analysis. |
Akshay Arora |
source |
13 |
| SCSUG |
2017 |
Analyzing Theft Occurrences in Chicago Using SAS Enterprise Miner 14.1 |
Shikha Prasad,
Kunal Parekh,
Goutam Chakraborty,
Miriam McGaugh |
source |
10 |
| SCSUG |
2017 |
Enhancement of Clinical Decision Making Using Predictive Modeling |
Archana Chinnaswamy |
source |
9 |
| SCSUG |
2017 |
Prediction of Used Cars? Prices by Using SAS EM |
Jaideep Muley,
Vijay Kumar Movva |
source |
12 |
| SCSUG |
2017 |
Text Mining on Donor's Conversation with Solicitors |
Harsh Gupta |
source |
12 |
| SCSUG |
2017 |
The True Price for Your House |
Mettilda Kaimathuruth,
Goutam Chakraborty |
source |
15 |
| SCSUG |
2017 |
Use Machine Learning to Discover Your Rules |
David R. Duling |
source |
10 |
| PHUSE EU |
2017 |
Comparison of Different Methods of Detecting Publication Bias |
Janhavi Kale,
Anwaya Nirpharake |
source
presentation source |
10 |
| PHUSE EU |
2017 |
Surviving your Statistician: A Programmer's Guide to Survival Analysis |
James Diserens |
source
presentation source |
11 |
| PHUSE EU |
2017 |
The Model Statistician Insights into Model Selection Techniques in Clinical Trials |
Peter Williams |
source
presentation source |
6 |
| MWSUG |
2017 |
AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification |
Hao Sun,
Kristen Cardinal,
Richard Voorman |
|
26 |
| MWSUG |
2017 |
Claim Analytics |
Mei Najim |
|
18 |
| MWSUG |
2017 |
Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students |
Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody |
|
22 |
| MWSUG |
2017 |
Exploring the Relationship Between Substance Abuse and Dependence Disorders and Discharge Status: Results and Implications |
Deanna Naomi Schreiber-Gregory |
|
25 |
| MWSUG |
2017 |
How Can an NBA Player Be Clutch?: A Logistic Regression Analysis |
Logan Edmonds |
|
18 |
| MWSUG |
2017 |
Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT |
Bruce S. Lund |
|
18 |
| MWSUG |
2017 |
Multiple Imputation of Family Income Data in the 2015 Behavioral Risk Factor Surveillance System |
Jia Li,
Aaron Sussell |
|
4 |
| MWSUG |
2017 |
Nothing to SNF At: Evaluating an intervention to reduce skilled nursing home (SNF) length of stay |
Andrea Frazier |
|
4 |
| MWSUG |
2017 |
Unconventional Statistical Models with the NLMIXED Procedure |
Robin High |
|
14 |
| MWSUG |
2017 |
Untangle Customer's Incrementality using Uplift Modeling with a Case Study on Direct Marketing Campaign |
Hairong Gu,
Yi Cao,
Chao Xu |
|
8 |
| WUSS |
2017 |
A Data Mining Approach for Developing Intervention Programs to Lessen Body Dissatisfaction and Promote Healthy Weight Management |
Pitipa Chongwatpol,
Jongsawas Chongwatpol |
source |
12 |
| WUSS |
2017 |
An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya |
Radhikha Myneni |
source |
23 |
| WUSS |
2017 |
Analysis of Complex Survey Data with SAS |
Christine Wells |
source |
6 |
| WUSS |
2017 |
Analyzing Multiple Membership Hierarchical Data Using PROC GLIMMIX |
Maria Elsa Vazquez Arreola,
Jeffrey Wilson |
source |
7 |
| WUSS |
2017 |
Approaches in Loan and Vintage Level ROI Forecasting - A Consumer Lending Industry Perspective |
Sridhr Sankranti |
source |
8 |
| WUSS |
2017 |
Data Exploration for Sweet Spots by Using Heat Maps in SAS |
Alec Zhixiao Lin |
source |
7 |
| WUSS |
2017 |
Five Things You Should Know about Quantile Regression |
Robert N. Rodriguez |
source |
19 |
| WUSS |
2017 |
Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems |
Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh |
source |
15 |
| WUSS |
2017 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| WUSS |
2017 |
Modeling Longitudinal and Multilevel Data in SAS |
Niloofar Ramezani |
source |
8 |
| WUSS |
2017 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| WUSS |
2017 |
NFL Data Analytics for a New Era |
Mitchell Collins |
source |
14 |
| WUSS |
2017 |
Nonlinear Modeling with Big Data in SAS and JMP |
Chong Ho,
Hyun Seo Lee,
Siyan Gan,
Emily Brown |
source |
12 |
| WUSS |
2017 |
Standardized Approaches for Analyzing Quality Improvement Interventions in Healthcare Settings |
Polina Kukhareva |
source |
20 |
| WUSS |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez |
source |
19 |
| PharmaSUG |
2017 |
Application of Deming Regression in Molecular Diagnostics using a SAS Macro |
Merlin Njoya,
Pari Hemyari |
source |
6 |
| PharmaSUG |
2017 |
Combining Survival Analysis Results after Multiple Imputation of Censored Event Times |
Jonathan L Moscovici,
Bohdana Ratitch |
source |
11 |
| PharmaSUG |
2017 |
Multinomial Logistic Regression Models With Sas Proc Surveylogistic |
Marina Komaroff |
source |
7 |
| PharmaSUG |
2017 |
Multiple Imputation: A Statistical Programming Story |
Christopher J. Smith,
Scott Kosten |
source |
16 |
| PharmaSUG |
2017 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
20 |
| PharmaSUG |
2017 |
Two Roads Diverged in a Narrow Dataset-When Coarsened Exact Matching is More Appropriate than Propensity Score Matching |
Aran Canes |
source |
7 |
| PharmaSUG |
2017 |
When one is not enough or multi-celled plots: comparison of different approaches |
Vladlen Ivanushkin |
source |
12 |
| SGF |
2017 |
%SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure |
Alan Ricardo da Silva |
source |
28 |
| SGF |
2017 |
A Data Mining Approach to Predict Students at Risk |
Youyou Zheng,
Thanuja Sakruti |
source |
13 |
| SGF |
2017 |
A Hadoop Journey along the SAS Road |
Sumit Sukhwani,
Krutharth Peravalli,
Amit Gautam |
source |
8 |
| SGF |
2017 |
A Practical Guide to Getting Started with Propensity Scores |
Thomas Gant |
source |
10 |
| SGF |
2017 |
A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression |
Sai Liu |
source
zip |
19 |
| SGF |
2017 |
Accessibility and SAS University Edition: Tips for Students and Professors |
Ed Summers,
Amy Peters |
source |
7 |
| SGF |
2017 |
Advanced Hierarchical Modeling with the MCMC Procedure |
Fang K. Chen,
Maura E. Stokes |
source |
21 |
| SGF |
2017 |
An Investigation into Big Data Analytics Applied to Insurance |
Rebecca Peters,
Penny Holborn |
source |
18 |
| SGF |
2017 |
An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya |
Jonathan Wexler,
Susan Haller |
source |
23 |
| SGF |
2017 |
Analyzing Correlated Data in SAS |
Niloofar Ramezani |
source |
13 |
| SGF |
2017 |
Analyzing Residuals in a PROC SURVEYLOGISTIC Model |
Bogdan Gadidov |
source |
8 |
| SGF |
2017 |
Big Value from Big Data: SAS/ETS Methods for Spatial Econometric Modeling in the Era of Big Data |
Guohui Wu,
Jan Chvosta |
source |
15 |
| SGF |
2017 |
Construction of a Disease Network and a Prediction Model for Dementia |
Jinwoo Cho |
source |
14 |
| SGF |
2017 |
Continuous Predictors in Regression Analyses |
Ruth Croxford |
source |
12 |
| SGF |
2017 |
Dataninjas: Modeling Life Insurance Risk |
David Allen,
Seung Lee |
source |
7 |
| SGF |
2017 |
Detecting and Adjusting Structural Breaks in Time Series and Panel Data Using the SSM Procedure |
Rajesh S. Selukar |
source |
18 |
| SGF |
2017 |
Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys |
Ken Ferrell |
source |
5 |
| SGF |
2017 |
Easy Polar Graphs with SG Procedures |
Prashant Hebbar,
Sanjay N. Matange |
source |
11 |
| SGF |
2017 |
Estimating Causal Effects from Observational Data with the CAUSALTRT Procedure |
Michael Lamm,
Yiu-Fai Yung |
source |
18 |
| SGF |
2017 |
Estimation Strategies Involving Pooled Survey Data |
Taylor Lewis |
source |
15 |
| SGF |
2017 |
Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics |
Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard |
source |
15 |
| SGF |
2017 |
Fitting a Cumulative Logistic Regression |
Shana Kelly |
source |
5 |
| SGF |
2017 |
Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure |
Darcy Morris |
source |
6 |
| SGF |
2017 |
Five Things You Should Know about Quantile Regression |
Robert N. Rodriguez,
Yonggang Yao |
source |
19 |
| SGF |
2017 |
Geospatial Analysis: Linear, Nonlinear, or Both? |
Kelsey Osterloo,
Angela Wu |
source |
14 |
| SGF |
2017 |
GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes in SAS |
Jeffrey Wilson |
source |
7 |
| SGF |
2017 |
I Am Multilingual: A Comparison of the Python, Java, Lua, and REST Interfaces to SAS Viya |
Xiangxiang Meng,
Kevin D. Smith |
source |
16 |
| SGF |
2017 |
I'm Normal, You're Normal, but Is Your Weather Normal? |
Kyle Wood,
Jason Wilson,
Bradley Lawson,
Rain Xie |
source |
5 |
| SGF |
2017 |
Interactive Modeling in SAS Visual Analytics |
Donald R. Chapman,
Jonathan Wexler |
source |
16 |
| SGF |
2017 |
Interrupted Time Series Power Calculation using DO Loop Simulations |
Nigel Rozario,
Andrew McWilliams,
Charity Moore |
source |
15 |
| SGF |
2017 |
Linear Model Regularization [presentation] |
Shashank Hebbar,
Lili Zhang,
Dhiraj Gharana |
source |
1 |
| SGF |
2017 |
Meta-Analysis of Human Trafficking in the United States |
David J. Corliss,
Heather Hill |
source |
8 |
| SGF |
2017 |
Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers |
Sunny Lam |
source |
20 |
| SGF |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| SGF |
2017 |
N-Stage Machine Learning Analysis with the LUA Procedure Helps Solve Big Data Analysis Problems |
Ryo Kiguchi,
Eri Sakai,
Yoshitake Kitanishi,
Akio Tsuji |
source |
8 |
| SGF |
2017 |
Need a Graphic for a Scientific Journal? No Problem! |
Charlotte Baker |
source |
14 |
| SGF |
2017 |
Not So Simple: Intervals You Can Have Confidence In with Real Survey Data |
David A. Vandenbroucke |
source |
12 |
| SGF |
2017 |
Open Your Mind: Use Cases for SAS and Open-Source Analytics |
Tuba Islam |
source |
10 |
| SGF |
2017 |
Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk |
Aric LaBarr |
source |
11 |
| SGF |
2017 |
Outline Outliers: Adding a Business Sense |
Alex Glushkovsky |
source |
17 |
| SGF |
2017 |
Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data |
Josephine Akosa |
source |
12 |
| SGF |
2017 |
Predictive Models: Storing, Scoring, and Evaluating |
Matthew Duchnowski |
source |
10 |
| SGF |
2017 |
Price Recommendation Engine for Airbnb |
Praneth Guggilla,
Singdha Gutha,
Goutam Chakraborty |
source |
10 |
| SGF |
2017 |
PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds |
Paul Hilliard |
source
zip
pdf |
16 |
| SGF |
2017 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
source |
17 |
| SGF |
2017 |
Random Forests with Approximate Bayesian Model Averaging |
Tiny Du Toit,
Andre De Waal |
source |
11 |
| SGF |
2017 |
Real AdaBoost: Boosting for Credit Scorecards and Similarity to WOE Logistic Regression |
Paul Edwards |
source |
12 |
| SGF |
2017 |
Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting |
Marc Witarsa,
Paulo Di Cellio Dias |
source |
20 |
| SGF |
2017 |
SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design |
David P. MacKinnon |
source |
10 |
| SGF |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez,
Phil Gibbs |
source |
19 |
| SGF |
2017 |
Testing the Night Away |
Laurent de Walick,
Bas Marsman,
Stephan Minnaert |
source |
13 |
| SGF |
2017 |
The Development and Application of a Composite Score for Social Determinants of Health |
Paul A. LaBrec,
Ryan C. Butterfield |
source |
16 |
| SGF |
2017 |
The Effects of Socioeconomic, Demographic Variables on US Mortality Using SAS Visual Analytics |
Catherine Loveless-Schmitt |
source
pdf |
22 |
| SGF |
2017 |
The Flamingos: NFL Data Analytics For A New Era |
Jonah Muresan,
Daniel Savage,
Gus Moir |
source |
14 |
| SGF |
2017 |
The Rise of Chef Curry: Studying Advanced Basketball Metrics with Quantile Regression in SAS [presentation] |
Taylor K. Larkin,
Denise J. McManus |
source |
8 |
| SGF |
2017 |
The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money |
Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell |
source |
59 |
| SGF |
2017 |
The Truth Is Out There: Leveraging Census Data Using PROC SURVEYLOGISTIC |
Richard Dirmyer |
source |
5 |
| SGF |
2017 |
The Well-Equipped Student: Using SAS University Edition and E-Learning to Gain SAS Skills |
Randy Mullis,
Allison Mahaffey |
source |
19 |
| SGF |
2017 |
To Hydrate or Chlorinate: A Regression Analysis of the Levels of Chlorine in the Public Water Supply [presentation] |
Drew Doyle |
source |
7 |
| SGF |
2017 |
Use Machine Learning to Discover Your Rules |
David R. Duling |
source |
10 |
| SGF |
2017 |
Using a Dynamic Panel Estimator to Model Change in Panel Data |
Roberto Gutierrez |
source |
10 |
| SGF |
2017 |
Using a Population Average Model to Investigate the Success of a Customer Retention Strategy |
Colleen E. McGahan |
source |
19 |
| SGF |
2017 |
Using Analytics to Prevent Fraud Gives HDI Fast and Real-Time Approval for Claims |
Rayani Melega |
source |
9 |
| SGF |
2017 |
Using Python with SAS Cloud Analytic Services |
Kevin D. Smith,
Xiangxiang Meng |
source |
23 |
| SGF |
2017 |
Using SAS to Analyze Emergency Department Visits: Medicaid Patients Compared to Other Pay Sources |
Bradley Casselman,
Taylor K. Larkin,
Denise J. McManus |
source |
16 |
| SGF |
2017 |
Using Segmentation to Build More Powerful Models with SAS Visual Analytics |
Darius S. Baer,
Sam Edgemon |
source |
18 |
| SGF |
2017 |
Using Text Analysis to Improve the Quality of Scoring Models with SAS Enterprise Miner |
Piotr Małaszek |
source |
11 |
| SGF |
2017 |
Using the LOGISTIC or SURVEYLOGISTIC Procedure and Weighting of Public-Use Data in the Classroom |
Tyler C. Smith,
Besa Smith |
source |
9 |
| SGF |
2017 |
Visualizing Market Structure Using Brand Sentiments |
Praveen Kumar Kotekal,
Amit K Ghosh,
Goutam Chakraborty |
source |
9 |
| SGF |
2017 |
Weight of Evidence Coding for the Cumulative Logit Model |
Bruce S. Lund |
source |
15 |
| SGF |
2017 |
What Statisticians Should Know about Machine Learning |
David Richard Cutler |
source |
13 |
| SCSUG |
2016 |
Analysis of degradation patterns in the clinical efficacies of anti-microbial drug usage |
Shweta Arya,
Bhuvaneswari Yallabandi |
source |
12 |
| SCSUG |
2016 |
Effective method on curing heart disease |
K. Varadarajan,
Surya Bhaskar Ayyalasomayajula |
source |
12 |
| SCSUG |
2016 |
How to stop Stephen Curry |
Wei Gao,
Vrushali Walde |
source |
11 |
| SCSUG |
2016 |
Optimization of Refining Crude Distillation Process Unit using Process Simulation and Statistical Modeling Methods |
Jose Bird |
source |
18 |
| SCSUG |
2016 |
Ten Tips for Simulating Data with SAS |
Rick Wicklin |
source |
15 |
| SESUG |
2016 |
A Data Mining Approach to Predict Student-at-risk |
Youyou Zheng,
Thanuja Sakruti,
Abhishek Uppalapati,
Sivakumar Jaganathan |
source |
12 |
| SESUG |
2016 |
A prediction model for which Country will win the highest number of "Gold" in 2016 |
Antarlina Sen |
source |
6 |
| SESUG |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SESUG |
2016 |
Analyzing non-normal data with categorical response variables |
Niloofar Ramezani,
Allameh Tabataba'i |
source |
9 |
| SESUG |
2016 |
Creating a Publication Quality Graphic with SAS |
Charlotte Baker |
source |
5 |
| SESUG |
2016 |
Enhanced Swimmer Plots: Tell More Sophisticated Graphic Stories in Oncology Studies |
Ilya Krivelevich,
Andrea Dobrindt,
Simon Lin,
Xiaomin He |
source |
9 |
| SESUG |
2016 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni |
source |
62 |
| SESUG |
2016 |
How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers |
Aran Canes |
source |
8 |
| SESUG |
2016 |
Know your Interest Rate |
Anirban Chakraborty,
Goutam Chakraborty |
source |
16 |
| SESUG |
2016 |
Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates when Data are MCAR and MAR |
Anh P. Kellermann,
DeAnn Trevathan,
Jeffrey D. Kromrey |
source |
12 |
| SESUG |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| SESUG |
2016 |
Using JMP to apply Decision Trees and Random Forests as Screening Tools for Limiting Candidate Predictors in Regression Models |
Jason Brinkley |
source |
10 |
| SESUG |
2016 |
Using Regression Splines in SAS STAT Procedures |
Jonas V. Bilenas,
Nish Herat |
source |
19 |
| SESUG |
2016 |
Using SAS to Examine Relationships among Leadership Styles of College of Nursing Deans and Faculty Job Satisfaction Levels in Research Intensive Institutions |
Nursing Deans,
Faculty Job Satisfaction Levels |
source |
6 |
| SESUG |
2016 |
Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending |
Jonas V. Bilenas |
source |
12 |
| PHUSE EU |
2016 |
Clinical SAS Application Development in a GRID environment |
Giri Balasubramanian,
Edwin Ponraj Thangarajan |
source
presentation source |
8 |
| PHUSE EU |
2016 |
Considerations in the Use of Propensity Scoresin Observational Studies |
Lawrence Rasouliyan,
Estel Plana |
source
presentation source |
17 |
| PHUSE EU |
2016 |
Get Kitted Out - A Practical Guide to SAS Certifications, MOOCs and Hands-on Experience |
Hannes Engberg Raeder |
source |
6 |
| MWSUG |
2016 |
A Demonstration of Various Models Used in a Key Driver Analysis |
Steven M. LaLonde |
|
17 |
| MWSUG |
2016 |
An Animated Guide: Deep Neural Networks in SAS Enterprise Miner |
Russell M. Lavery |
|
47 |
| MWSUG |
2016 |
An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression |
Russell M. Lavery,
Peter Flom |
|
24 |
| MWSUG |
2016 |
An Innovative Method of Customer Clustering |
Brian Borchers |
|
6 |
| MWSUG |
2016 |
Analyzing the Effect of Weather on Uber Ridership |
Snigdha Gutha,
Anusha Mamillapalli |
|
11 |
| MWSUG |
2016 |
Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming |
Ji Qi |
|
16 |
| MWSUG |
2016 |
Fitting a Cumulative Logistic Regression Model |
Shana Kelly |
|
4 |
| MWSUG |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Fang K. Chen,
Gordon Brown,
Maura E. Stokes |
|
27 |
| MWSUG |
2016 |
Identifying the factors responsible for loan defaults and classification of customers using SAS Enterprise Miner |
Juhi Bhargava,
Prashanth Reddy Musuku |
|
13 |
| MWSUG |
2016 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
|
7 |
| MWSUG |
2016 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
|
17 |
| MWSUG |
2016 |
Quantifying the relative importance of crime rate on Housing prices |
Aigul Mukanova |
|
7 |
| MWSUG |
2016 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
|
11 |
| MWSUG |
2016 |
The Practice of Credit Risk Modeling for Alternative Lending |
Keith Shields,
Bruce S. Lund |
|
8 |
| MWSUG |
2016 |
The State of Human Trafficking in the Cincinnati Metropolitan Area - a Statistical Case Study |
David J. Corliss,
Heather M. Hill |
|
8 |
| MWSUG |
2016 |
To be two or not be two, that is a LOGISTIC question |
Robert G. Downer |
|
10 |
| MWSUG |
2016 |
Use Multi-Stage Model to Target the Most Valuable Customers |
Chao Xu,
Jing Ren,
Hongying Yang |
|
10 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| MWSUG |
2016 |
Weight of Evidence Coding and Binning of Predictors in Logistic Regression |
Bruce S. Lund |
|
16 |
| WUSS |
2016 |
An Animated Guide: Incremental Response Modeling in Enterprise Miner |
Russell M. Lavery |
source |
19 |
| WUSS |
2016 |
Bayesian Concepts: An Introduction |
John Amrhein |
source |
8 |
| WUSS |
2016 |
Collaborations in SAS Programming; or Playing Nicely with Others |
Kristi Busico Metzger,
Melissa R. Pfeiffer |
source |
8 |
| WUSS |
2016 |
Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. |
Carol Conell,
Alexander C. Flint |
source |
14 |
| WUSS |
2016 |
Distance Correlation for Vectors: A SAS Macro |
Thomas E. Billings |
source |
15 |
| WUSS |
2016 |
Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures |
Deanna Naomi Schreiber-Gregory |
source |
14 |
| WUSS |
2016 |
Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED |
Todd Coffey |
source |
11 |
| WUSS |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Fang K. Chen |
source |
27 |
| WUSS |
2016 |
Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates |
Allen Hom |
source
pptx |
20 |
| WUSS |
2016 |
How D-I-D you do that? Basic Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker,
Andrew Karter |
source |
11 |
| WUSS |
2016 |
How to analyze correlated and longitudinal data? |
Niloofar Ramezani |
source |
8 |
| WUSS |
2016 |
Introduction to Survival Analysis in SAS |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| WUSS |
2016 |
MIghty PROC MI to the rescue! |
Cynthia Alvarez |
source |
10 |
| WUSS |
2016 |
Selection Bias: How Can Propensity Score Utilization Help Control For It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| WUSS |
2016 |
Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| PharmaSUG |
2016 |
Cox proportional hazards regression to model the risk of outcomes per double increase in a continuous explanatory variable |
Seungyoung Hwang |
source |
4 |
| PharmaSUG |
2016 |
Fifty Ways to Change your Colors (in ODS Graphics) |
Shane Rosanbalm |
source |
14 |
| PharmaSUG |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| PharmaSUG |
2016 |
Programming Support for Exposure-Response Analysis in Oncology Drug Development |
Peter Lu,
Hong Yan |
source |
8 |
| PharmaSUG |
2016 |
Simulation of Data using the SAS System, Tools for Learning and Experimentation |
Kevin R. Viel,
Bevan K. Youse |
source |
11 |
| PharmaSUG |
2016 |
Unequalslopes: Making life easier when the proportional odds assumption fails |
Matthew J. Wiedel |
source |
11 |
| PharmaSUG |
2016 |
Using GTL Generating Customized Kaplan-Meier Survival Plots |
Joanne C. Zhou |
source |
12 |
| SGF |
2016 |
A Multistage Modeling Strategy for Hierarchical Demand Forecasting |
Pu Wang |
source |
11 |
| SGF |
2016 |
A Property and Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
source |
14 |
| SGF |
2016 |
A SAS Macro for Geographically Weighted Negative Binomial Regression |
Alan Ricardo da Silva,
Thais Rodrigues |
source
zip |
20 |
| SGF |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
Analysis of Grades for University Students Using Administrative Data and the IRT Procedure |
Sara Armandi |
source |
13 |
| SGF |
2016 |
Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions |
Niloofar Ramezani |
source |
16 |
| SGF |
2016 |
Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? |
Violeta Balinskaite |
source |
9 |
| SGF |
2016 |
Application of Data Mining Techniques in Improving Breast Cancer Diagnosis |
Josephine Akosa |
source
presentation |
10 |
| SGF |
2016 |
Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study |
Yan Zhang,
Ryan Baker,
Yoav Bergner |
source
presentation |
7 |
| SGF |
2016 |
Arrest Prediction and Analysis based on a Data Mining Approach |
Karan Rudra,
Goutam Chakraborty,
Maitreya Kadiyala |
source |
9 |
| SGF |
2016 |
Bayesian Inference for Gaussian Semiparametric Multilevel Models |
Jason Bentley,
Cathy Yuen Yi Lee |
source
zip |
19 |
| SGF |
2016 |
Best Practices for Resource Management in Hadoop |
James Kochuba |
source |
10 |
| SGF |
2016 |
Building a Recommender System with SAS to Improve Cross-Selling for Online Retailers |
Miao Nie,
Shanshan Cong |
source
zip |
12 |
| SGF |
2016 |
Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! |
Delali Agbenyegah |
source |
7 |
| SGF |
2016 |
Comparative Regional Analysis of Bacterial Pneumonia Readmission Patients in the Medicare Category |
Heramb Joshi,
Goutam Chakraborty,
William Paiva,
Aditya Sharma |
source |
12 |
| SGF |
2016 |
Competing-Risks Analyses: An Overview of Regression Models |
Joseph C. Gardiner |
source |
22 |
| SGF |
2016 |
Correcting the Quasi-complete Separation Issue in Logistic Regression Models |
Xinghe Lu |
source |
10 |
| SGF |
2016 |
Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software |
Denys Osipenko |
source |
20 |
| SGF |
2016 |
Credit Risk Modeling in a New Era |
Wei Chen,
Martim Rocha,
Jimmy Skoglund |
source |
16 |
| SGF |
2016 |
Customer Lifetime Value Modeling |
Vadim Pliner |
source
presentation |
4 |
| SGF |
2016 |
Debt Collection through the Lens of SAS Analytics |
Karush Jaggi,
Harold Dickerson,
Thomas Waldschmidt |
source
presentation |
11 |
| SGF |
2016 |
Disparities in the Receipt of Cardiac Revascularization Procedures |
C. Perry Brown,
Jontae Sanders |
source |
13 |
| SGF |
2016 |
Enhanced Segmentation Using SAS Visual Analytics and SAS Visual Statistics |
Darius S. Baer,
Suneel Grover |
source |
19 |
| SGF |
2016 |
Ensemble Modeling: Recent Advances and Applications |
Wendy Czika,
Ye Liu |
source |
20 |
| SGF |
2016 |
Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS |
Oscar Javier Cortés Arrigui,
Miguel Angel Diaz Rodriguez |
source |
13 |
| SGF |
2016 |
Everyone CAN be a Data Scientist: Using SAS Studio to Create a Custom Task for SAS In-Memory Statistics |
Stephen Ludlow |
source |
20 |
| SGF |
2016 |
Exact Logistic Models for Nested Binary Data in SAS |
Kyle Irimata,
Jeffrey Wilson |
source |
6 |
| SGF |
2016 |
exSPLINE That: Explaining Geographic Variation in Insurance Pricing |
Carol Frigo,
Kelsey Osterloo |
source |
6 |
| SGF |
2016 |
Extracting Useful Information From the Google Ngram Data Set: A General Method to Take the Growth of the Scientific Literature into Account |
Aurélien Nicosia,
Thierry Duchesne,
Samuel Perreault |
source |
14 |
| SGF |
2016 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere |
source |
60 |
| SGF |
2016 |
Finding and Evaluating Multiple Candidate Models for Logistic Regression |
Bruce S. Lund |
source
zip |
17 |
| SGF |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Gordon Brown,
Fang K. Chen,
Maura E. Stokes |
source |
27 |
| SGF |
2016 |
Forecasting Short Time Series Using SAS Forecast Server |
Cobey Abramowski,
Christian Haxholdt,
Chris Houck,
Benjamin Perryman |
source |
5 |
| SGF |
2016 |
Generalized Linear Models for Non-Normal Data |
Theresa H. Ngo |
source |
5 |
| SGF |
2016 |
Health Care's One Percenters : Hot-Spotting to Identify Areas of Need and Opportunity |
Paul A. LaBrec |
source |
14 |
| SGF |
2016 |
Holiday Demand Forecasting in the Utility Industry |
Rain Xie,
Alex Chien |
source |
13 |
| SGF |
2016 |
How Do My Neighbors Affect Me? SAS/ETS Methods for Spatial Econometric Modeling |
Guohui Wu,
Jan Chvosta |
source |
13 |
| SGF |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| SGF |
2016 |
Linear State Space Models in Retail and Hospitality |
Beth Cubbage |
source |
10 |
| SGF |
2016 |
Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs |
John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn |
source |
15 |
| SGF |
2016 |
Macroeconomic Simulation Analysis for Multi-asset Class Portfolio Returns |
Srikant Jayaraman,
Joe Burdis,
Lokesh Nagar |
source |
6 |
| SGF |
2016 |
Make Predictions More Predictive: Lift Retail Marketing Campaign Response by Blending Logistic Regression and the Cox Proportional Hazards Model |
Hsin-Yi Wang |
source |
10 |
| SGF |
2016 |
Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager |
Jonathan Wexler,
Steve Sparano |
source |
19 |
| SGF |
2016 |
Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups |
Paulo Macedo |
source
zip |
9 |
| SGF |
2016 |
Outlier Detection Using the Forward Search in SAS/IML Studio |
Jos Polfliet |
source
zip |
12 |
| SGF |
2016 |
Pedal-to-the-Metal Analytics with SAS Studio, SAS Visual Analytics, and SAS Visual Statistics |
Manuel Figallo-Monge |
source |
20 |
| SGF |
2016 |
Predicting Human Activity Sensor Data Using an Auto Neural Model with Stepwise Logistic Regression Inputs |
Venkata Vennelakanti |
source
presentation |
10 |
| SGF |
2016 |
Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It |
Ram Poudel,
Lynn Xiang |
source |
11 |
| SGF |
2016 |
Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women |
Ravikrishna Vijaya Kumar,
Shrie Raam Sathyanarayanan |
source |
15 |
| SGF |
2016 |
Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 |
Mostakim Tanjil,
Goutam Chakraborty |
source
presentation |
12 |
| SGF |
2016 |
Probability Density for Repeated Events |
Bruce S. Lund |
source |
16 |
| SGF |
2016 |
Quantitle Regression versus Ordinary Least Squares Regression |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS Procedures GLMSELECT and LASSO |
Jon M. Lindenauer |
source |
10 |
| SGF |
2016 |
Reducing and Screening Redundant Variables in Logistic Regression Models Using SAS/STAT Software and SAS Enterprise Miner |
Xinghe Lu |
source |
10 |
| SGF |
2016 |
Restricted Cubic Spline Regression: A Brief Introduction |
Ruth Croxford |
source |
5 |
| SGF |
2016 |
SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates |
Katherine Cai,
Jeffrey Wilson |
source |
9 |
| SGF |
2016 |
SAS Visual Analytics and SAS/ACCESS Interface for Hadoop: Improving Efficiency and Increasing Analyst Satisfaction |
Rosie Poultney |
source |
10 |
| SGF |
2016 |
SAS Visual Statistics 8.1: The New Self-Service, Easy Analytics Experience |
Xiangxiang Meng,
Donald R. Chapman,
Cheryl LeSaint |
source |
11 |
| SGF |
2016 |
Spatial Dependence, Nonlinear Panel Models, and More New Features in SAS/ETS 14.1 |
Jan Chvosta |
source |
11 |
| SGF |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Bob Rodriguez |
source |
23 |
| SGF |
2016 |
Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 |
Raja Rajeswari Veggalam,
Akansha Gupta,
Goutam Chakraborty |
source |
11 |
| SGF |
2016 |
The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments |
Taylor Lewis,
Julie Johnson,
Christine Muha |
source |
18 |
| SGF |
2016 |
Transforming Data to Information in Education: Stop with the Point-and-Click!!! |
Sean W. Mulvenon |
source |
9 |
| SGF |
2016 |
Upgrade from ARIMA to ARIMAX to Improve Forecasting Accuracy of Nonlinear Time-Series: Create Your Own Exogenous Variables Using Wavelet Analysis |
Woranat Wongdhamma |
source |
16 |
| SGF |
2016 |
Using Administrative Databases for Research: Propensity Score Methods to Adjust for Bias |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| SGF |
2016 |
Using SAS to Implement Simultaneous Linking in Item Response Theory |
Lili Yao |
source |
6 |
| SGF |
2016 |
Using the Kaplan-Meier Product-Limit Estimator to Adjust NFL Yardage Averages |
Keith G. Curtis |
source |
20 |
| SGF |
2016 |
Virtual Accessing of a SAS Data Set Using OPEN, FETCH, and CLOSE Functions with %SYSFUNC and %DO Loops |
Amarnath Vijayarangan |
source
presentation |
6 |
| SGF |
2016 |
What's the Difference? |
David A. Dickey |
source |
17 |
| SCSUG |
2015 |
Optimization of Refining Alkylation Process Unit using Response Surface Methods |
Jose Bird,
Darryl Seillier |
source |
20 |
| SCSUG |
2015 |
Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References |
Maryam Tabarestani,
Hector Zapata |
|
23 |
| MWSUG |
2015 |
A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation |
Chaoxian Cai |
|
9 |
| MWSUG |
2015 |
A Property & Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
|
14 |
| MWSUG |
2015 |
A Simple Adjustment for Selection Bias Through Use of Propensity Scoring |
Deanna Naomi Schreiber-Gregory |
|
24 |
| MWSUG |
2015 |
Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! |
Delali Agbenyegah |
|
7 |
| MWSUG |
2015 |
Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro |
Jeffrey P. Meyers,
Jayawant N. Mandrekar |
|
7 |
| MWSUG |
2015 |
Debt Collection Through SAS Analytics Lens |
Karush Jaggi,
Thomas Waldschmidt,
Harold Dickerson,
Eric Hayes,
Goutam Chakraborty |
|
11 |
| MWSUG |
2015 |
Fitting and Evaluating Logistic Regression Models |
Bruce S. Lund |
|
26 |
| MWSUG |
2015 |
Get the highest bangs for your marketing bucks using Incremental Response Models in SAS Enterprise Miner |
Delali Agbenyegah |
|
8 |
| MWSUG |
2015 |
Multiple Imputation for Arbitrary Missing Data: SAS and R |
Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory |
|
7 |
| MWSUG |
2015 |
Need Help Finding Something? Why Not Ask Your (Virtual) Community! A Collaborative Filtering Based Recommendation Engine in SAS |
Ben Elbert |
|
12 |
| MWSUG |
2015 |
SAS Software as an Essential Tool in Statistical Consulting and Research |
Erika Larsen,
Timothy E. O'Brien |
|
13 |
| MWSUG |
2015 |
Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
|
7 |
| PHUSE EU |
2015 |
Bias Reduction in Observational Cohort Studies - Obtaining Matched Cohorts Using Propensity Scores |
Shelley Fordred,
Victor Kiri |
source
presentation source |
8 |
| PHUSE EU |
2015 |
How to Reduce Bias in the Estimates of Count Data Regression |
Ashwini Joshi,
Sumit Singh |
source
presentation source |
10 |
| PHUSE EU |
2015 |
Only Time Will Tell? - Identification of Predictors for Binary Outcomes in Longitudinal Designs [presentation] |
Knut Mueller |
source |
1 |
| PHUSE EU |
2015 |
SAS Software Demonstration - SAS In-Memory Visual Analytics [presentation] |
Andy Bayliss |
source |
24 |
| SESUG |
2015 |
A Beginner's Babblefish: Basic Skills for Translation Between R and SAS |
Sarah Woodruff |
source |
17 |
| SESUG |
2015 |
Adaptive Fractional Polynomial Modeling in SAS |
George J. Knafl |
source |
10 |
| SESUG |
2015 |
Alternative Methods of Regression when OLS is Not Right |
Peter L. Flom |
source |
28 |
| SESUG |
2015 |
Coder ' |
s Corner |
source |
10 |
| SESUG |
2015 |
Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage |
Yusheng Zhai,
K. E. Kahn,
A. O'Halloran |
source |
13 |
| SESUG |
2015 |
How Latent Structure Analysis Can Improve the Fit of a Regression Model |
Deanna Naomi Schreiber-Gregory |
source |
11 |
| SESUG |
2015 |
Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation |
Alec Zhixiao Lin |
source |
11 |
| SESUG |
2015 |
MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models |
Jason A. Schoeneberger,
Bethany A. Bell |
source |
10 |
| SESUG |
2015 |
Optimizing Pilot Connection Time Using PROC REG and PROC LOGISTIC |
Andrew Hummel,
Shevawn Christian |
source |
4 |
| SESUG |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangiang Meng,
Wayne Thompson,
Jennifer Ames |
source |
12 |
| SESUG |
2015 |
Prescription Opioid Use in the U.S. in 2012: Characterizing Sustained vs. Infrequent Use Using the Medical Expenditure Panel Survey |
Monika C. Lemke |
source |
16 |
| SESUG |
2015 |
Probability Density for Repeated Events |
Bruce S. Lund |
source |
16 |
| SESUG |
2015 |
PROG REG: A SAS Macro to Determine Cut Score for a Universal Pre-School Maladaptive Screener |
Fan Pan,
Yin Burgess,
Jin Liu,
Christine DiStefano |
source |
4 |
| SESUG |
2015 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
source |
10 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
Application of Data Mining in Energy Industry: A Case Study of NOx Prediction |
Jongsawas Chongwatpol |
source |
9 |
| WUSS |
2015 |
Data Analyses in Multivariate Regression |
Chii-Dean Joey Lin |
source |
9 |
| WUSS |
2015 |
Exposure-Response Plots Using SAS |
Janette Garner |
source |
8 |
| WUSS |
2015 |
Generalized Estimating Equations for Depression Dose Regimes |
Karen Walker |
source |
8 |
| WUSS |
2015 |
Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) |
Peter L. Flom |
source |
25 |
| WUSS |
2015 |
Latent Analysis Applications for Regression Models |
Deanna Naomi Schreiber-Gregory |
source |
11 |
| WUSS |
2015 |
SAS at Los Angeles County Assessor's Office |
Anthony Liu |
source |
20 |
| WUSS |
2015 |
SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data |
Maura E. Stokes |
source |
25 |
| PharmaSUG CN |
2015 |
A Macro to Automatically Select Covariates from Prognostic Factors and Exploratory Factors for Multivariate Cox PH Model |
Yu Cheng |
|
6 |
| PharmaSUG CN |
2015 |
Why Statistical Analysis Plan (SAP) should be comprehensive. |
Riddhi Merchant,
Ranjith Prayankotveettil |
|
6 |
| PharmaSUG |
2015 |
How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model |
Deanna Naomi Schreiber-Gregory |
source |
9 |
| PharmaSUG |
2015 |
Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS |
Erica Goodrich,
Daniel Sturgeon |
source |
8 |
| PharmaSUG |
2015 |
Using ANCOVA to Assess Regression to the Mean |
Kathryn Schurr |
source |
9 |
| SGF |
2015 |
"Before and After" Models in Observational Research Using Random Slopes and Intercepts |
David J. Pasta |
source |
12 |
| SGF |
2015 |
"Out Here" Forecasting: A Retail Case Study |
Chris Houck |
source |
9 |
| SGF |
2015 |
A Genetic Algorithm for Data Reduction |
Lisa Henley |
source
zip |
7 |
| SGF |
2015 |
A Mathematical Model for Optimizing Product Mix and Customer Lifetime Value |
Atul Thatte,
Goutam Chakraborty |
source
zip |
16 |
| SGF |
2015 |
Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression |
Edwin Rivera,
Jim West |
source |
12 |
| SGF |
2015 |
Alternative Methods of Regression when OLS is Not Right |
Peter L. Flom |
source |
19 |
| SGF |
2015 |
An Innovative Method of Customer Clustering |
Brian Borchers,
Ashlie Ossege |
source |
6 |
| SGF |
2015 |
An Introduction to Testing for Unit Roots Using SAS: The Case of U.S. National Health Expenditures |
Don McCarthy |
source
zip |
6 |
| SGF |
2015 |
An Overview of Econometrics Tools in SAS/ETS: Explaining the Past and Modeling the Future: |
Mark Little,
Kenneth Sanford |
source |
13 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
Analyzing Parking Meter Transactions Using SAS Procedures |
Anders Milhøj |
source |
12 |
| SGF |
2015 |
Applied Analytics in Festival Tourism: A Case Study of Intention-to-Revisit Prediction in an Annual Local Food Festival in Thailand |
Jongsawas Chongwatpol,
Thanathorn Vajirakachorn |
source |
13 |
| SGF |
2015 |
Credit Card Holders' Behavior Modeling: Transition Probability Prediction with Multinomial and Conditional Logistic Regression in SAS/STAT |
Denys Osipenko,
Jonathan Crook |
source |
13 |
| SGF |
2015 |
Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro |
Jayawant N. Mandrekar,
Jeffrey P. Meyers |
source |
8 |
| SGF |
2015 |
Determining the Key Success Factors for Hit Songs in the Billboard Music Charts |
Piboon Banpotsakun,
Jongsawas Chongwatpol |
source |
12 |
| SGF |
2015 |
Donor Sentiment and Characteristic Analysis Using SAS Enterprise Miner and SAS Sentiment Analysis Studio |
Ramcharan Kakarla,
Goutam Chakraborty |
source |
12 |
| SGF |
2015 |
Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables |
Alec Zhixiao Lin |
source |
27 |
| SGF |
2015 |
Forest Plotting Analysis Macro %FORESTPLOT |
Jeffrey P. Meyers,
Qian Shi |
source |
18 |
| SGF |
2015 |
Getting Your Hands on Reproducible Graphs |
Rebecca Ottesen,
Leanne Goldstein |
source |
19 |
| SGF |
2015 |
Health Services Research Using Electronic Health Record Data: A Grad Student How-To Paper |
Ashley Collinsworth,
Elisa L. Priest |
source |
9 |
| SGF |
2015 |
How Latent Analyses within Survey Data Can Be Valuable Additions to Any Regression Model |
Deanna Naomi Schreiber-Gregory |
source |
9 |
| SGF |
2015 |
How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] |
Shrey Tandon |
source |
15 |
| SGF |
2015 |
How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates |
Katherine Cai |
source |
8 |
| SGF |
2015 |
Identifying Factors Associated with High-Cost Patients |
Jeff Dang |
source
zip |
12 |
| SGF |
2015 |
Improving the Performance of Two-Stage Modeling Using the Association Node of SAS Enterprise Miner 12.3 |
Girish Shirodkar,
Goutam Chakraborty,
Ankita Chaudhari |
source |
9 |
| SGF |
2015 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Incorporating External Economic Scenarios into Your CCAR Stress Testing Routines |
Kenneth Sanford,
Christian Macaro |
source |
10 |
| SGF |
2015 |
Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] |
Nancy Hu |
source
zip |
12 |
| SGF |
2015 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
source |
20 |
| SGF |
2015 |
Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent |
Robert Feyerharm |
source |
10 |
| SGF |
2015 |
Location-Based Association of Customer Sentiment and Retail Sales |
Asish Satpathy,
Goutam Chakraborty,
Tanvi Kode |
source |
6 |
| SGF |
2015 |
Multinomial Logistic Model for Long-Term Value |
Bruce S. Lund |
source |
16 |
| SGF |
2015 |
Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R |
Patricia A. Berglund |
source |
17 |
| SGF |
2015 |
Multiple Ways to Detect Differential Item Functioning in SAS |
Yan Zhang |
source |
9 |
| SGF |
2015 |
Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 |
Hephzibah Munnangi,
Goutam Chakraborty |
source |
10 |
| SGF |
2015 |
Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 |
Balamurugan Mohan,
Goutam Chakraborty |
source |
18 |
| SGF |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangxiang Meng,
Jennifer Ames,
Wayne Thompson |
source |
12 |
| SGF |
2015 |
Preparing Output from Statistical Procedures for Publication, Part 1: PROC REG to APA Format |
Vincent DelGobbo,
Peter L. Flom |
source |
27 |
| SGF |
2015 |
Random vs. Fixed Effects: Which Technique More Effectively Addresses Selection Bias in Observational Studies |
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
source
zip |
8 |
| SGF |
2015 |
Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation |
Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
source |
7 |
| SGF |
2015 |
Replication Techniques for Variance Approximation |
Taylor Lewis |
source |
19 |
| SGF |
2015 |
Risk-Adjusting Provider Performance Utilization Metrics |
Stephanie Poley |
source |
9 |
| SGF |
2015 |
SAS Does Data Science: How to Succeed in a Data Science Competition |
Patrick Hall |
source
zip |
11 |
| SGF |
2015 |
SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data |
Maura E. Stokes,
Bob Rodriguez |
source |
25 |
| SGF |
2015 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
source |
16 |
| SGF |
2015 |
Social Media and Open Data Integration through SAS Visual Analytics and SAS Text Analytics for Public Health Surveillance |
Manuel Figallo-Monge,
Emily McRae |
source |
19 |
| SGF |
2015 |
Strengthening Diverse Retail Business Processes with Forecasting: Practical Application of Forecasting Across the Retail Enterprise |
Alex Chien,
Elizabeth Cubbage,
Wanda Shive |
source |
21 |
| SGF |
2015 |
Sums of Squares: The Basics and a Surprise |
Sheila Barron,
Michelle Mengeling |
source |
8 |
| SGF |
2015 |
Survival Analysis with Survey Data |
Joseph C. Gardiner |
source |
17 |
| SGF |
2015 |
Ten Tips for Simulating Data with SAS |
Rick Wicklin |
source
zip |
15 |
| SGF |
2015 |
The bookBot Ultimatum! |
David A. Dickey,
John Vickery |
source
zip |
19 |
| SGF |
2015 |
The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT |
Denys Osipenko,
Jonathan Crook |
source |
19 |
| SGF |
2015 |
The More Trees, the Better! Scaling Up Performance Using Random Forest in SAS Enterprise Miner |
Narmada Deve Panneerselvam |
source |
10 |
| SGF |
2015 |
The Spatio-Temporal Impact of Urgent Care Centers on Physician and ER Use |
Laurel Trantham |
source |
6 |
| SGF |
2015 |
Time Series Modeling and Forecasting--An Application to Stress-Test Banks |
Ania Supady |
source |
13 |
| SGF |
2015 |
To Believe or Not To Believe? The Truth of Data Analytics Results [presentation] |
Mike Hardin |
source |
71 |
| SGF |
2015 |
Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs |
Keith R. Holdaway,
Louis Fabbi,
Dan Lozie |
source |
20 |
| SGF |
2015 |
Using PROC SURVEYREG and PROC SURVEYLOGISTIC to Assess Potential Bias |
Lucy D'Agostino McGowan,
Alice Toll |
source |
8 |
| SGF |
2015 |
Using SAS Enterprise Miner to Predict Breast Cancer at an Early Stage |
Gibson Ikoro,
Beatriz de la Iglesia |
source |
9 |
| SGF |
2015 |
Using SAS to Combine Regression and Time Series Analysis on U.S. Financial Data to Predict the Economic Downturn |
Avinash Kalwani,
Nishant Vyas |
source |
6 |
| SGF |
2015 |
Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data |
Mahesh Subramanian,
Suneel Grover |
source |
24 |
| SGF |
2015 |
Using SAS to Increase Profitability through Cluster Analysis and Simplicity: Follow the Money [presentation] |
Sherrie Rodriguez |
source |
9 |
| SGF |
2015 |
Using Text from Repair Tickets of a Truck Manufacturing Company to Predict Factors that Contribute to Truck Downtime |
Ayush Priyadarshi,
Goutam Chakraborty |
source |
9 |
| SGF |
2015 |
Using the PHREG Procedure to Analyze Competing-Risks Data |
Ying C. So |
source |
9 |
| SGF |
2015 |
Want an Early Picture of the Data Quality Status of Your Analysis Data? SAS Visual Analytics Shows You How |
Gerhard Svolba |
source
zip |
19 |
| SGF |
2015 |
When Two Are Better Than One: Fitting Two-Part Models Using SAS |
Laura Kapitula |
source |
9 |
| SGF |
2015 |
Working with Panel Data: Extracting Value from Multiple Customer Observations |
Bobby Gutierrez,
Kenneth Sanford |
source
zip |
10 |
| SCSUG |
2014 |
Building Better Credit Scores using Reject Inference and SAS |
Steve Fleming |
|
15 |
| SCSUG |
2014 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
|
13 |
| SESUG |
2014 |
%DISCIT Macro: Pre-screening continuous variables for subsequent binary logistic regression analysis through visualization |
Mohamed S. Anany |
source |
6 |
| SESUG |
2014 |
A National Study of Health Services Utilization and Cost of Care with SAS: Analyses from the 2011 Medical Expenditure Panel Survey |
Seungyoung Hwang,
Johns Hopkins |
source |
12 |
| SESUG |
2014 |
Don't be binary! Tales of Non-binary Categorical Regression |
Charlotte Baker |
source |
6 |
| SESUG |
2014 |
Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development |
Alec Zhixiao Lin,
Tung-Ying Hsieh |
|
23 |
| SESUG |
2014 |
Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization |
Jennifer Mann,
Jason Brinkley,
Pamela Larson |
source |
7 |
| SESUG |
2014 |
Identifying Superutilizers in the Medicaid Population - A Simple and Powerful technique |
Aran Canes |
|
7 |
| SESUG |
2014 |
Modeling Cognitive Processes of Learning with SAS Procedures |
Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang |
source |
11 |
| SESUG |
2014 |
Overview of Analysis of Covariance (ANCOVA) Using GLM in SAS |
Abbas S. Tavakoli |
source |
10 |
| SESUG |
2014 |
Penalizing Your Models: An Overview of the Generalized Regression Platform |
Michael Crotty,
Clay Barker |
source |
8 |
| SESUG |
2014 |
Text Analytics using High Performance SAS Text Miner |
Edward R. Jones |
source |
7 |
| SESUG |
2014 |
Trash to Treasures: Salvaging Variables of Extremely Low Coverage for Modeling |
Alec Zhixiao Lin |
source |
5 |
| SESUG |
2014 |
Tricks and Tips for Using the Bootstrap in JMP Pro 11 |
Jason Brinkley |
source |
13 |
| SESUG |
2014 |
Using Regression Model to Predict Cyclic Resistance Ratio at South Carolina Coastal Plain (SCCP) |
Emad Gheibi,
Sarah L. Gassman,
Abbas S. Tavakoli |
source |
10 |
| SESUG |
2014 |
Using SAS to Examine Mediator, Direct and Indirect Effects of Isolation and Fear on Social Support Using Baron& Kenny Combined with Bootstrapping Methods |
Abbas S. Tavakoli,
Sue P. Heiney |
source |
12 |
| SESUG |
2014 |
VIF Regression: A SAS Application to Feature Selection in Large Data Sets |
Ruiwen Zhang |
|
5 |
| PHUSE EU |
2014 |
Inverse Probability of Censoring Weighting for Selective Crossover in Oncology Clinical Trials |
José Luis Jiménez Moro,
Javier Gómez Garcia |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Patchwork - A Creative Approach to Revise Existing Validation Methods |
Anja Feuerbacher |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Population Segmentation in a Healthcare Environment |
MaryAnne DePesquo |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Reengineering a Standard Process form Single to Environment Macro Management |
Guiseppe Di Monaco |
source
presentation source |
10 |
| PHUSE EU |
2014 |
SAS Visual Statistics [presentation] |
Andy Bayliss |
source |
18 |
| MWSUG |
2014 |
Categorical AND Continuous - The Best of Both Worlds |
Kathryn Schurr,
Ruth Kurtycz |
|
60 |
| MWSUG |
2014 |
Comparing regression, propensity matching and coarsened exact matching in healthcare observational studies using SAS: An example from the Medical Expenditure Panel Survey (MEPS) |
Douglas Thompson |
|
16 |
| MWSUG |
2014 |
How To Use Latent Analyses of Survey Data in a Logistic Regression Model |
Deanna Naomi Schreiber-Gregory |
|
9 |
| MWSUG |
2014 |
Measuring Product-level Promotional Effectiveness using Multiple Linear Regression |
Aaron Clark,
Cory Weinmann,
Donald Kirk |
|
10 |
| MWSUG |
2014 |
Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data |
Robert G. Downer |
|
10 |
| MWSUG |
2014 |
Preparing Interaction Variables for Logistic Regression |
Bruce S. Lund |
|
9 |
| MWSUG |
2014 |
Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation |
Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
|
7 |
| MWSUG |
2014 |
Reporting The Facts: The ODSmemo macro suite for making reproducible RTF memos within SAS |
A. Rocio Lopez |
|
15 |
| MWSUG |
2014 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
|
12 |
| MWSUG |
2014 |
Should more of your PROC REGS be QUANTREGs and ROBUSTREGs? |
Peter L. Flom |
|
17 |
| MWSUG |
2014 |
So You Want to be SAS Certified |
Ben Cochran |
|
10 |
| MWSUG |
2014 |
Text Analytics in High Performance SAS and SAS Enterprise Miner |
Edward R. Jones |
|
16 |
| MWSUG |
2014 |
Understanding Change through Different Methodological Lens |
Jie Liao |
|
12 |
| MWSUG |
2014 |
Use of Social Media Data to Predict Retail Sales Performance |
Li Zhang |
|
13 |
| WUSS |
2014 |
Analyzing Phased Interventions with Segmented Regression and Stepped Wedge Designs |
Eric C. Wong,
Po-Han Chen,
Dorothy Hung |
source |
9 |
| WUSS |
2014 |
Big Data in a Small Trial: Visual and Statistical Analyses in an N-of-1 Clinical Trial |
Marie Boman-Davis |
source |
6 |
| WUSS |
2014 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
8 |
| WUSS |
2014 |
Efficient Cut-point Estimation and Validation using PROC PHREG |
Alan Mitchell |
source |
7 |
| WUSS |
2014 |
Fuzzy Bootstrap Matching |
Dale Harrington |
source |
9 |
| WUSS |
2014 |
Getting Your Hands on Reproducible Graphics |
Rebecca Ottesen,
Leanne Goldstein |
source |
17 |
| WUSS |
2014 |
Macros to Manage your Macros? |
Garrett Weaver |
source |
12 |
| WUSS |
2014 |
Practice Pattern Instrumental Variables for Comparative Effectiveness |
Carol Conell,
Alexander C. Flint |
source |
15 |
| WUSS |
2014 |
Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide |
Thomas E. Billings |
source |
17 |
| WUSS |
2014 |
Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study |
Deanna Naomi Schreiber-Gregory |
source |
35 |
| WUSS |
2014 |
Using SAS and the Centers for Disease Control and Prevention 2010 Natality Data to Estimate the Effect Size of Prenatal Visits on Preterm Birth |
Melissa Borelli |
source |
10 |
| PharmaSUG |
2014 |
%IC_LOGISTIC: A SAS Macro to Produce Sorted Information Criteria (AIC/BIC) List for PROC LOGISTIC for Model Selection |
Qinlei Huang,
Liang Zhu |
source |
12 |
| PharmaSUG |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| PharmaSUG |
2014 |
Handling with missing data in clinical trials for time-to-event variables |
Giulia Tonini,
Simona Scartoni,
Angela Capriati |
source |
9 |
| PharmaSUG |
2014 |
Healthcare Data Manipulation and Analytics Using SAS |
Lumin Shen,
Jane Lu |
source |
11 |
| PharmaSUG |
2014 |
Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis |
Dan Conroy |
source |
5 |
| PharmaSUG |
2014 |
Quickly Organize Statistical Output for Review |
Bradford J. Danner |
source |
4 |
| PharmaSUG |
2014 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| PharmaSUG |
2014 |
Survival Analysis Approaches and New Developments using SAS |
Jane Lu,
David Shen |
source |
13 |
| PharmaSUG |
2014 |
The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction |
Ashwini S Erande,
Shaista Malik |
source |
11 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| SGF |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2014 |
A Risk Score Calculator for Short-Term Morbidity Following Hip Fracture Surgery |
Yubo Gao |
source |
5 |
| SGF |
2014 |
A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models |
Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva |
source |
19 |
| SGF |
2014 |
A Stepwise Algorithm for Generalized Linear Mixed Models |
Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh |
source |
11 |
| SGF |
2014 |
Analyzing Data from Experiments in Which the Treatment Groups Have Different Hierarchical Structures |
Sharon Lohr,
Peter Schochet |
source |
12 |
| SGF |
2014 |
Association of Socio-Emotional Factors: Religious Affiliation, Depression to Suicidal Tendency Among Adolescent Girls |
Sesha Sai Ega,
Chandra Shekar Pulipati,
Venkata Rachapudi |
source |
6 |
| SGF |
2014 |
Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide |
Yang Ge |
source |
10 |
| SGF |
2014 |
Case-Level Residual Analysis in the CALIS Procedure |
Catherine Truxillo |
source |
17 |
| SGF |
2014 |
Clustering and Predictive Modeling of Patient Discharge Records with SAS Enterprise Miner |
Linda Schumacher,
Goutam Chakraborty |
source |
9 |
| SGF |
2014 |
Customer Profiling for Marketing Strategies in a Healthcare Environment |
MaryAnne DePesquo |
source |
7 |
| SGF |
2014 |
Dining with the Data: The Case of New York City and Its Restaurants |
Pruthvi Bhupathiraju Venkata,
Goutam Chakraborty |
source |
7 |
| SGF |
2014 |
Efficiency Estimation Using a Hybrid of Data Envelopment Analysis and Linear Regression |
John Dilip Raj |
source |
7 |
| SGF |
2014 |
Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure |
Rob Agnelli |
source |
17 |
| SGF |
2014 |
Got Randomness? SAS for Mixed and Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2014 |
Healthcare Services Data Distribution, Transformation, and Model Fitting |
Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley |
source |
22 |
| SGF |
2014 |
How to Interpret SVD Units in Predictive Models? |
Murali Krishna Pagolu,
Goutam Chakraborty |
source |
10 |
| SGF |
2014 |
Improving the Thermal Efficiency of Coal-Fired Power Plants: A Data Mining Approach |
Thanrawee Phurithititanapong,
Jongsawas Chongwatpol |
source |
12 |
| SGF |
2014 |
Institutional Research: Serving University Deans and Department Heads |
Matthew Foraker |
source |
11 |
| SGF |
2014 |
Intermittent Demand Forecasting and Multi-tiered Causal Analysis |
Edward Katz |
source |
11 |
| SGF |
2014 |
Internet Gambling Behavioral Markers: Using the Power of SAS Enterprise Miner 12.1 to Predict High-Risk Internet Gamblers |
Sai Vijay Kishore Movva,
Vandana Reddy,
Goutam Chakraborty |
source |
11 |
| SGF |
2014 |
Is Nonlinear Regression Throwing You a Curve? New Diagnostic and Inference Tools in the NLIN Procedure |
Biruk Gebremariam |
source |
16 |
| SGF |
2014 |
Leveraging Publicly Available Data in the Classroom Using SAS PROC SURVEYLOGISTIC |
Tyler C. Smith,
Besa Smith |
source |
18 |
| SGF |
2014 |
Make It Possible: Create Customized Graphs with Graph Template Language |
Wen Song,
Ge Wu |
source |
6 |
| SGF |
2014 |
Managing Opt-Out Risk |
Jia Lei |
source |
4 |
| SGF |
2014 |
Measures of Fit for Logistic Regression |
Paul D. Allison |
source |
12 |
| SGF |
2014 |
Medical Scoring for Breast Cancer Recurrence |
Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran |
source |
13 |
| SGF |
2014 |
Modeling Fractional Outcomes with SAS |
Wensui Liu,
Jason Xin |
source |
17 |
| SGF |
2014 |
Modeling Loss Given Default in SAS/STAT |
Xiao Yao,
Jonathan Crook,
Galina Andreeva |
source |
9 |
| SGF |
2014 |
Multivariate Ratio and Regression Estimators |
Alan Ricardo da Silva |
source |
13 |
| SGF |
2014 |
Non-Empirical Modeling: Incorporating Expert Judgment as a Model Input [presentation] |
John Parker |
source |
20 |
| SGF |
2014 |
Nonnegative Least Squares Regression in SAS |
Matthew Duchnowski |
source |
5 |
| SGF |
2014 |
Predicting a Child Smoker Using SAS Enterprise Miner 12.1 [presentation] |
Jin Ho Jung,
Gaurav Pathak,
Goutam Chakraborty |
source |
3 |
| SGF |
2014 |
Reevaluating Policy and Claims Analytics: A Case of Corporate Fleet and Non-Fleet Customers in the Automobile Insurance Industry |
Kittipong Trongsawad,
Jongsawas Chongwatpol |
source |
10 |
| SGF |
2014 |
Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software |
Joseph C. Gardiner |
source |
19 |
| SGF |
2014 |
Researching Individual Credit Rating Models |
Colin Nugteren |
source |
12 |
| SGF |
2014 |
Revealing Human Mobility Behavior and Trips Prediction Based on Mobile Data Records |
Carlos Andre R. Pinheiro |
source |
14 |
| SGF |
2014 |
Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 |
Chan Jin,
Jennifer White,
Rhonda Colombo,
Stephanie Baer,
Usman Afza,
M. Kheda,
Lu Huber,
Puja Chebrolu,
N. Stanley Nahman,
Kristina Kintziger |
source |
4 |
| SGF |
2014 |
SAS Data Mining for Predictor Identification: Developing Strategies for High School Dropout Prevention |
Wendy B. Dickinson,
Morgan C. Wang |
source |
9 |
| SGF |
2014 |
SAS for Bayesian Mediation Analysis |
Miočević Milica,
David P. MacKinnon |
source |
11 |
| SGF |
2014 |
SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! |
George S. Habek |
source |
19 |
| SGF |
2014 |
SAS/STAT 13.1 Round-Up |
Bob Rodriguez,
Maura E. Stokes |
source |
25 |
| SGF |
2014 |
Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines |
Jonas V. Bilenas |
source |
11 |
| SGF |
2014 |
Scatterplots: Basics, Enhancements, Problems, and Solutions |
Peter L. Flom |
source |
13 |
| SGF |
2014 |
Scenarios Where Utilizing a Spline Model in Developing a Regression Model Is Appropriate |
Ning Huang |
source |
9 |
| SGF |
2014 |
Sensitivity Analysis in Multiple Imputation for Missing Data |
Yang Yuan |
source |
12 |
| SGF |
2014 |
Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries |
Mahesh V. Joshi,
Jan Chvosta |
source
zip |
20 |
| SGF |
2014 |
Something for Nothing! Converting Plots from SAS/GRAPH to ODS Graphics |
Philip R. Holland |
source |
17 |
| SGF |
2014 |
Text Analytics: Predicting the Success of Newly Released Free Android Apps Using SAS Enterprise Miner and SAS Sentiment Analysis Studio [presentation] |
Vandana Reddy,
Chinmay Dugar |
source |
3 |
| SGF |
2014 |
Text Mining Economic Topic Sentiment for Time Series Modeling |
Michael P. Dessauer,
Justin Kauhl |
source |
14 |
| SGF |
2014 |
Text Mining Reveals the Secret of Success: Identification of Sales Determinants Hidden in Customers' Opinions |
Rafal Wojdan |
source |
18 |
| SGF |
2014 |
The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS Visual Analytics Explorer |
Nascif Abousalh-Neto |
source |
15 |
| SGF |
2014 |
The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign |
Arun Mandapaka,
Amit Kushwah,
Goutam Chakraborty |
source |
12 |
| SGF |
2014 |
The Soccer Oracle: Predicting Soccer Game Outcomes Using SAS Enterprise Miner [presentation] |
Vandana Reddy,
Sai Vijay Kishore Movva |
source |
3 |
| SGF |
2014 |
Top Seven Techniques for Creating SAS Web Applications |
Yogendra Joshi |
source |
20 |
| SGF |
2014 |
Using PROC GPLOT and PROC REG Together to Make One Great Graph |
William 'Gui' Zupko II |
source |
14 |
| SGF |
2014 |
Using SAS Enterprise Miner to Predict the Injury Risk Involved in Car Accidents |
Prateek Khare,
Vandana Reddy,
Goutam Chakraborty |
source |
7 |
| SGF |
2014 |
Validating Self-Reported Survey Measures Using SAS |
Sarah Lyons,
Kimberly Kaphingst,
Melody S. Goodman |
source |
6 |
| SGF |
2014 |
Weighted Methods for Analyzing Missing Data with the GEE Procedures |
Guixian Lin,
Bob Rodriguez |
source
zip |
8 |
| SGF |
2014 |
When Do You Schedule Preventative Maintenance? Multivariate Time Series in SAS/ETS |
Kenneth Sanford |
source |
8 |
| WUSS |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
source |
19 |
| WUSS |
2013 |
An Algorithm for ARIMA Dynamic Regression Variable Selection |
Ross Bettinger |
source |
14 |
| WUSS |
2013 |
Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM |
William Garner |
source |
11 |
| WUSS |
2013 |
Competing risks regression: Big Data issues from modest sample sizes |
Katharine Kirby,
Deborah Barnes,
W. John Boscardin |
source |
4 |
| WUSS |
2013 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
8 |
| WUSS |
2013 |
Dynamic Regression in ARIMA Modeling |
Ross Bettinger |
source |
11 |
| WUSS |
2013 |
Estimating the Impact of Lost to Follow-up on Breast Cancer Patients' Disease-free Survival |
Debbie Yan Qun Huang |
source |
7 |
| WUSS |
2013 |
How to Compute Custom Hazard Ratio in SAS (V8.2&V9.2) PHREG Procedure |
Liguo Cheng,
Yu Li |
source |
8 |
| WUSS |
2013 |
Matching with Hash Objects |
Gregory Watson |
source |
6 |
| WUSS |
2013 |
Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building |
Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin |
source |
13 |
| WUSS |
2013 |
Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies |
Kechen Zhao |
source |
14 |
| WUSS |
2013 |
Simulation in SAS with Comparisons to R |
Chelsea Lofland,
Rebecca Ottesen |
source |
25 |
| WUSS |
2013 |
Subsampling with a Survey Sampling Design? DOMAIN Idea is To Get an Appropriate Variance Estimate |
Anita Rocha |
source |
6 |
| WUSS |
2013 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
24 |
| WUSS |
2013 |
The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" |
Ashwini Erande,
Shaista Malik |
source |
11 |
| WUSS |
2013 |
Tools for Imputing Missing Data |
Taylor Lewis |
source |
16 |
| WUSS |
2013 |
User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement |
Melissa McTernan,
Shelley A. Blozis |
source |
4 |
| WUSS |
2013 |
Using PROC ARIMA to Model Trends in US Home Prices |
Ross Bettinger |
source |
13 |
| WUSS |
2013 |
Weighting Multiple Years to Identify Trends: A Logistic Regression of Public Use Data |
Marie Boman-Davis |
source |
5 |
| SCSUG |
2013 |
Hypertension Management in Hypertensive Adults with Diabetes in Primary Care setting |
Pratik P. Rane,
Archita Bhansali,
Ruta Sawant,
Rajender R. Aparasu |
source |
12 |
| SCSUG |
2013 |
Preparing Interaction Variables for Logistic Regression |
Bruce S. Lund |
source |
14 |
| SCSUG |
2013 |
Using PROC STANDARD and PROC SCORE to impute missing multivariate values |
Paul Montagna |
source |
8 |
| SCSUG |
2013 |
Using SAS to Build Customer Level Datasets for Predictive Modeling |
Scott M. Shockley |
source |
14 |
| SESUG |
2013 |
Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration |
Receiver Operating Characteristic |
source |
16 |
| SESUG |
2013 |
Comparing SAS PROC MI and IVEware Callable Software |
Bruno Vizcarra,
Amang Sukasih |
source |
11 |
| SESUG |
2013 |
Dealing with Missing Data for Credit Scoring |
Steve Fleming |
source |
7 |
| SESUG |
2013 |
Finding the Gold in Your Data: An Overview of Data Mining |
David A. Dickey |
source |
16 |
| SESUG |
2013 |
Fit Discrete Distributions via SAS Macro |
Fit Discrete Distributions |
source |
5 |
| SESUG |
2013 |
Introducing the New ADAPTIVEREG Procedure for Adaptive Regression |
Warren F,
Weijie Cai |
source |
21 |
| SESUG |
2013 |
POSTEQUATE: A SAS Macro for Conducting Non-IRT Test Post-equating |
Isaac Y. Li |
source |
10 |
| SESUG |
2013 |
SAS Macros to Conduct Common Biostatistical Analyses and Generate Reports |
Dana Nickleach,
Yuan Liu,
Adam Shrewsberry,
Kenneth Ogan,
Sungjin Kim |
source |
8 |
| SESUG |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
Satish Garla |
source |
15 |
| PHUSE EU |
2013 |
Bayesian Statistics: Concept and Bayesian Capabilities in SAS |
Mark Janssens |
source
presentation source |
15 |
| PHUSE EU |
2013 |
eBESTreports - The Fastest Way to Conclusions [presentation] |
Tuomas Kemppainen,
Juha Hyssala |
source |
25 |
| PHUSE EU |
2013 |
Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis |
Imgard Hollweck |
source
presentation source |
9 |
| MWSUG |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
|
19 |
| MWSUG |
2013 |
Adventures in Path Analysis and Preparatory Analysis |
Brandy R. Sinco,
Phillip L. Chapman |
|
19 |
| MWSUG |
2013 |
An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
|
15 |
| MWSUG |
2013 |
Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling |
Mark Bailey,
Diane K. Michelson |
|
21 |
| MWSUG |
2013 |
Finding the Gold in Your Data: An Overview of Data Mining |
David A. Dickey |
|
16 |
| MWSUG |
2013 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| MWSUG |
2013 |
Improved Interaction Interpretation: Application of the EFFECTPLOT statement and other useful features in PROC LOGISTIC |
Robert G. Downer |
|
8 |
| MWSUG |
2013 |
Information Value Statistic |
Bruce S. Lund,
David Brotherton |
|
18 |
| MWSUG |
2013 |
Logistics Performance Metrics using SAS Macros |
Michael C. Frick |
|
9 |
| MWSUG |
2013 |
Residential Energy Efficiency and the Principal-Agent Problem |
Ryan Anderson |
|
11 |
| MWSUG |
2013 |
Statistical Models for Proportional Outcomes |
Wensui Liu,
Kelly Zhao |
|
17 |
| NESUG |
2013 |
Arrays Plus Data Step Plus Cramer's Rule = Fast Rolling Regresions |
Mark Keintz |
|
15 |
| NESUG |
2013 |
Exploring the Relationship Between Mental Health and Risky Behaviors in American Youth Using PROC SURVEYFREQ and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
|
9 |
| NESUG |
2013 |
Marketing and Granger Causality: Going Beyond Correlation |
Jonathan Prantner |
|
11 |
| NESUG |
2013 |
Proc SurveyCorr |
Jessica R. Hampton |
|
7 |
| NESUG |
2013 |
Understanding the outliers in healthcare expenditure data |
Gandhi Bhattarai |
|
15 |
| NESUG |
2013 |
Using PROC GLIMMIX and PROC SGPLOT to Demonstrate County-level Racial Disparities in Obesity in North Carolina |
Lucy D'Agostino McGowan,
Melody S. Goodman |
|
9 |
| PharmaSUG |
2013 |
A Simple Approach to the Automated Unit Testing of Clinical SAS Macros |
Matthew Nizol |
source |
12 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly |
source |
19 |
| PharmaSUG |
2013 |
Managing Graphic Appearance for Grouped Data in ODS Graphics |
Yunzhi Ling,
Mei Wu |
source |
14 |
| PharmaSUG |
2013 |
Reliability Assessment of Image Data in Oncology and Psychology Studies |
Li Zhang,
David Shen,
Gary Chen |
source |
7 |
| PharmaSUG |
2013 |
Time to Event Analysis in the Pharmaceutical and Medical Device Industries |
Helen M. Chmiel,
Evan L. Ritzema |
source |
8 |
| SGF |
2013 |
10-Minute JMP |
George J. Hurley |
source |
11 |
| SGF |
2013 |
A Data-Driven Analytic Strategy for Increasing Yield and Retention at Western Kentucky University Using SAS Enterprise BI and SAS Enterprise Miner |
Matt T. Bogard |
source |
12 |
| SGF |
2013 |
A Flexible Method to Apply Multiple Imputation Using SAS/IML Studio |
Lisa M. Lix,
Xue Yao |
source
pdf |
9 |
| SGF |
2013 |
A Multilevel Model Primer Using SAS PROC MIXED |
Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley |
source |
19 |
| SGF |
2013 |
A SAS Macro for Applying Multiple Imputation to Multilevel Data |
Stephen Mistler |
source |
8 |
| SGF |
2013 |
A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data |
Stephen Mistler |
source |
10 |
| SGF |
2013 |
An Innovative Approach to Integrating SAS Macros with GIS Software Products to Produce County-Level Accuracy Assessments. |
Audra Zakzeski,
Robert Seffrin |
source |
8 |
| SGF |
2013 |
Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP |
Richard C. Zink |
source |
13 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Automated Testing of Your SAS Code and Collation of Results (Using Hash Tables) |
Andrew B. Ratcliffe |
source |
8 |
| SGF |
2013 |
Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development |
Jonathan Wexler,
Karl Krycha |
source |
9 |
| SGF |
2013 |
Build Prognostic Nomograms for Risk Assessment Using SAS |
Dongsheng Yang |
source
pdf |
7 |
| SGF |
2013 |
Considerations and Techniques for Analyzing Domains of Complex Survey Data |
Taylor Lewis |
source |
12 |
| SGF |
2013 |
Demand Forecasting Using a Growth Model and Negative Binomial Regression Framework |
Cally Ong Yeru,
Michelle Cheong,
Murphy Choy |
source |
17 |
| SGF |
2013 |
Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples |
Irena Stijacic Cenzer,
W. John Boscardin,
Katharine Kirby,
Yinghui Miao |
source |
12 |
| SGF |
2013 |
Evaluating System-Wide Process Improvement in a Health-Care System: Data Through Analysis |
Dorothy Hung,
Eric C. Wong,
Lubna Qureshi,
Pragati Kenkare |
source |
6 |
| SGF |
2013 |
Examining Mediator and Indirect Effects of Loneliness in Social Support on Social Well-Being Using the Baron and Kenny Method and a Bootstrapping Method |
Abbas S. Tavakoli,
Sue P. Heiney |
source |
12 |
| SGF |
2013 |
Exploring Health Trends and Risk Behavior Analysis in American Youth Using PROC SURVEYFREQ and PROC SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
11 |
| SGF |
2013 |
Exploring Time Series Data Properties in SAS |
Aude Pujula,
David Maradiaga,
Hector Zapata |
source |
12 |
| SGF |
2013 |
Finding the Gold in Your Data: An Overview of Data Mining |
David A. Dickey |
source |
16 |
| SGF |
2013 |
For All the Hats You Wear: SAS Enterprise Guide Has Got You Covered |
Chris Hemedinger |
source |
8 |
| SGF |
2013 |
High Performance Statistical Modeling |
Bob Rodriguez,
Robert A. Cohen |
source |
19 |
| SGF |
2013 |
Introducing the New ADAPTIVEREG Procedure for Adaptive Regression |
Warren F. Kuhfeld,
Weijie Cai |
source |
18 |
| SGF |
2013 |
Leveraging Big Data Using SAS High-Performance Analytics Server |
Priya Sharma |
source |
9 |
| SGF |
2013 |
Markov Chains and Zeros in My Data: Bayesian Approaches in SAS That Address Zero Inflation |
Matthew Russell |
source |
9 |
| SGF |
2013 |
Maximizing the Power of Hash Tables |
David J. Corliss |
source |
8 |
| SGF |
2013 |
Missing No More: Using the MCMC Procedure to Model Missing Data |
Fang K. Chen |
source |
23 |
| SGF |
2013 |
Models for Ordinal Response Data |
Robin High |
source |
16 |
| SGF |
2013 |
Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX |
Lucy D'Agostino,
Melody S. Goodman |
source |
7 |
| SGF |
2013 |
Nontemporal ARIMA Models in Statistical Research |
David J. Corliss |
source |
10 |
| SGF |
2013 |
Ordinal Response Modeling with the LOGISTIC Procedure |
Bob Derr |
source |
20 |
| SGF |
2013 |
Performance Predictability By Using Social Profile in Online P2P Lending Market |
Harshal Darade,
Siming Li,
Zhangxi Lin |
source
pdf |
9 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| SGF |
2013 |
Predicting Women's Department Purchases in a Retail Store By Using the SEMMA Methodology |
Michael Soto |
source |
12 |
| SGF |
2013 |
Predictive Modeling in Sports Leagues: An Application in the Indian Premier League |
Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda |
source |
10 |
| SGF |
2013 |
Price and Cross-Price Elasticity Estimation Using SAS |
Dawit Mulugeta,
Jason Greenfield,
Lisa Conley,
Tison Bolen |
source |
17 |
| SGF |
2013 |
Propensity Score-Based Analysis of Short-Term Complications in Patients with Lumbar Discectomy in the ACS-NSQIP Database |
Yubo Gao |
source
pdf |
7 |
| SGF |
2013 |
Quantile Regression in Pharmaceutical Marketing Research |
George Mu |
source |
4 |
| SGF |
2013 |
Regression of NASCAR: Looking into Five Years of Jimmie Johnson |
Alex Herrington,
Liuchun Yang,
Yun Gao |
source |
20 |
| SGF |
2013 |
Relate, Retain, and Remodel: Creating and Using Context-Sensitive Linguistic Features in Text Mining Models |
Janardhana Punuru,
Lane Surratt,
Russell Albright |
source |
17 |
| SGF |
2013 |
Statistical Analyses Using SAS Enterprise Guide |
Scott P. Leslie |
source |
11 |
| SGF |
2013 |
The Box-Jenkins Methodology for Time Series Models |
Theresa H. Ngo |
source |
11 |
| SGF |
2013 |
The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity |
Dirk Van den Poel,
Philippe Baecke |
source |
15 |
| SGF |
2013 |
Using Classification and Regression Trees (CART) in SAS Enterprise Miner? for Applications in Public Health |
Leonard Gordon |
source |
8 |
| SGF |
2013 |
Using Data Mining in Forecasting Problems |
Chip Wells,
Justin Kauhl,
Timothy Rey |
source |
17 |
| SGF |
2013 |
Using PROC GENMOD to Investigate Drug Interactions: Beta Blockers and Beta Agonists and Their Effect on Hospital Admissions |
Hui Fen Tan,
Raymond Gregory,
Ronald B. Low,
Shunsuke Ito,
Vann Dunn |
source |
10 |
| SGF |
2013 |
Using the Boosting Technique to Improve the Predictive Power of a Credit Risk Model |
Alejandro Correa Bahnsen,
Andres F. Gonzalez,
Darwin A. Amezquita |
source |
7 |
| SGF |
2013 |
Using the QUANTLIFE Procedure for Survival Analysis |
Bob Rodriguez,
Guixian Lin |
source |
13 |
| SGF |
2013 |
Variable Reduction in SAS by Using Weight of Evidence and Information Value |
Alec Zhixiao Lin |
source |
12 |
| SGF |
2013 |
Weathering the Storm: Using Predictive Analytics to Minimize Utility Outages |
Kathy Ball,
Mark Konya |
source
pdf |
10 |
| SGF |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
Albert Hopping,
Rick Monaco,
Sarah Rittman,
Satish Garla |
source |
15 |
| SGF |
2013 |
What Score Should Johnny Get? Missing_Items SAS Macro for Analyzing Missing Item Responses on Summative Scales |
Jeffrey D. Kromrey,
Patricia Rodríguez de Gil |
source
pdf |
12 |
| NESUG |
2012 |
A Macro-Driven Approach for Systematically Testing Variables Against a Base Regression Model |
Jennifer Alessandro,
Bryan Harmon |
|
7 |
| NESUG |
2012 |
A Model for Extreme Stacking of Data at Endpoints of a Distribution |
Robert J. Gallop |
|
8 |
| NESUG |
2012 |
An Animated Guide: Regression Trees in JMP and Enterprise Miner |
Russell M. Lavery |
|
32 |
| NESUG |
2012 |
Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG |
Klaus Lemke |
|
13 |
| NESUG |
2012 |
Efficiently Screening Predictor Variables for Logistic Models |
Steven Raimi,
Bruce S. Lund |
|
13 |
| NESUG |
2012 |
Generalized Additive Models in Marketing Mix Modeling Revisited |
Patralekha Bhattacharya |
|
9 |
| NESUG |
2012 |
He Who Graphs SAS Graphs Best |
Lisa Aronson Friedman |
|
18 |
| NESUG |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
Maura E. Stokes |
|
22 |
| NESUG |
2012 |
K-Nearest Neighbor Classification and Regression in SAS |
Liang Xie |
|
16 |
| NESUG |
2012 |
Look Out: After SAS/STAT 9.3 Comes SAS/STAT 12.1! |
Maura E. Stokes |
|
27 |
| NESUG |
2012 |
Off the Beaten Path: Create Unusual Graphs with ODS Graphics |
Prashant Hebbar |
|
26 |
| NESUG |
2012 |
Rolling Regressions with PROC FCMP and PROC REG |
Mark Keintz |
|
13 |
| NESUG |
2012 |
Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines |
Jonas V. Bilenas |
|
12 |
| NESUG |
2012 |
Using PROC FCMP to Solve Rolling Regression Rapidly |
Chao Huang,
Liang Xie |
|
4 |
| NESUG |
2012 |
Using SAS to Test, Probe and Display Interaction Effects in Regression |
Timothy Gravelle |
|
16 |
| SCSUG |
2012 |
A SAS MACRO for estimating bootstrapped confidence intervals in dyadic regression models. |
Robert Wickham |
source |
6 |
| SCSUG |
2012 |
Institutional Research Intelligent: Go Beyond Reporting |
Harjanto Djunaidi |
source |
9 |
| SCSUG |
2012 |
Net Present Value Model Approach |
Jingjing Qu |
source |
7 |
| SCSUG |
2012 |
Predicting Students Enrollment Using SAS |
Harjanto Djunaidi |
source |
9 |
| PHUSE EU |
2012 |
A Supplement to the SAS Survival Guide - Nonparametric Regression |
Karl-Ernst Siegler |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Bootstrap Analysis Double-Independent Programming: Issues and Solutions |
Nils Penard |
source
presentation source |
10 |
| PHUSE EU |
2012 |
Estimating Terminal Half Life by Non-Compartmental Methods with Some Data Below the Limit of Quantification |
Jochen Müller-Cohrs |
source |
6 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi,
Swapna Deshpande |
source
presentation source |
12 |
| PHUSE EU |
2012 |
Programming Challenges of Sampling Controls to Cases from the Dynamic Risk Sets in Nested Case Control Studies |
Victor Kiri |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Risk-Benefit Analysis for Oncology Clinical Trials |
Lovemore Gakava,
Waseem Jugon |
source
poster source |
8 |
| PHUSE EU |
2012 |
The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 |
Lawrence Rasouliyan |
source
presentation source |
16 |
| SESUG |
2012 |
K-Nearest Neighbor Classification and Regression using SAS |
Liang Xie |
source |
16 |
| SESUG |
2012 |
Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI |
Multiple Imputation |
source |
12 |
| SESUG |
2012 |
SAS macro to obtain reference values based on estimation of the lower and upper percentiles via quantile regression |
Neeta Shenvi,
Amita Manatunga |
source |
9 |
| SESUG |
2012 |
Spatial Analysis of Gastric Cancer in Costa Rica using SAS Software |
So Young Park,
Marcela Alfaro-Cordoba |
source |
8 |
| SESUG |
2012 |
The Keouk County CAFO Study: A Complementary Analysis Using Classification Trees in SAS Enterprise Miner |
Leonard Gordon |
source |
8 |
| MWSUG |
2012 |
An Analysis of Diabetes Risk Factors Using Data Mining Approach |
Akkarapol Sa-ngasoongsong,
Jongsawas Chongwatpol |
|
11 |
| MWSUG |
2012 |
Applying Analytics to High Performance Customer Profitability Models in Financial Services |
Tony Adkins,
Gary Cokins |
|
9 |
| MWSUG |
2012 |
Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding |
Bruce S. Lund,
Steven Raimi |
|
13 |
| MWSUG |
2012 |
Customer Sentiment Imputation Using Hash Tables |
David J. Corliss |
|
8 |
| MWSUG |
2012 |
Direct Marketing Profit Model |
Bruce S. Lund |
|
8 |
| MWSUG |
2012 |
Introduction to the Graph Template Language |
Sanjay N. Matange |
|
13 |
| MWSUG |
2012 |
Methods for Interaction Detection in Predictive Modeling Using SAS |
Douglas Thompson |
|
13 |
| MWSUG |
2012 |
Model Selection Using Recursive Macro - Enhancements to R2 Selection in PROC REG |
Anca M Tilea,
Philip L Francis III,
Brenda W Gillespie,
Rajiv Saran |
|
10 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| MWSUG |
2012 |
Models for Ordinal Response Data |
Robin High |
|
11 |
| MWSUG |
2012 |
Performing response surface analysis using the SAS RSREG procedure |
Zhiwu Li,
Ying Liu |
|
10 |
| MWSUG |
2012 |
Testing the Bayesian Suite of SAS Procedures using Ecological Data and Comparing Simulations with WinBUGS |
Matthew Russell |
|
8 |
| WUSS |
2012 |
Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else |
AnnMaria De Mars,
Chelsea Heaven |
source |
20 |
| WUSS |
2012 |
Blurring the line between confirmation and exploration: Model comparison of structural equation modeling in JMP/SAS |
Chong Ho Yu |
source |
12 |
| WUSS |
2012 |
Building, refining & scoring financial transaction sequence analytics |
Robin E. Way |
source |
12 |
| WUSS |
2012 |
Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples |
Irena Stijacic Cenzer,
Yinghui Miao,
Katharine Kirby,
W. John Boscardin |
source |
9 |
| WUSS |
2012 |
How Do Child Support Order Amounts Affect Payments and Compliance? |
Mark Takayesu |
source |
12 |
| WUSS |
2012 |
I Want to Get Married Too: Assessing the Relationship between Marital Status and Education for African American Women |
Shanetta Robinson,
Tara Jiles,
AnnMaria De Mars |
source |
11 |
| WUSS |
2012 |
Look Out: After SAS/STAT 9.3 Comes SAS/STAT 12.1! |
Maura E. Stokes |
source |
27 |
| WUSS |
2012 |
Moving Beyond Caveman Communication to Explain the Statistics Behind Your Model:So Easy a PhD Can Do It! |
Kari Kelso |
source |
9 |
| WUSS |
2012 |
Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower |
Chii Dean |
source |
10 |
| WUSS |
2012 |
SAS In-Database Procedures on eBay's Teradata System Reduces Processing Time by a Factor of 4 |
Arun Akkinapalli,
Mithun Yarlagadda,
Gurudev Karanth,
John Prenner |
source |
11 |
| WUSS |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| WUSS |
2012 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| WUSS |
2012 |
Using SAS to calculate incidence and prevalence rates in a dynamic population |
Li-Hao Chu,
Fagen Xie |
source |
8 |
| WUSS |
2012 |
Weighting Adjustment Methods for Nonresponse in Surveys |
Taylor Lewis |
source |
15 |
| PharmaSUG CN |
2012 |
An Illustration of Rate Difference Estimation with SAS in Logistic Regression |
Yun Guo,
Victor Wu,
Xinyu Xu,
Crystal Cheng |
ppt |
7 |
| PharmaSUG |
2012 |
A SAS Macro for Biomarker Analysis using Maximally Selected Chi-Square Statistic With Application in Oncology |
Quan Jenny Zhou,
Bala Dhungana |
source |
8 |
| PharmaSUG |
2012 |
Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG |
Sandeep Sawant |
source |
3 |
| PharmaSUG |
2012 |
Automated forward selection for Generalized Linear Models with Categorical and Numerical Variables using PROC GENMOD |
Manuel Sandoval |
source |
5 |
| PharmaSUG |
2012 |
Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms |
Francisco Juretig |
source |
11 |
| PharmaSUG |
2012 |
Making Your SAS Data JMP Through Hoops |
Mira Shapiro |
source |
19 |
| SGF |
2012 |
A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis |
Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey |
source |
12 |
| SGF |
2012 |
An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner |
Iain L. Brown |
source |
14 |
| SGF |
2012 |
Analyzing the Time Series of U.S. E-Commerce Using PROC UCM |
Anders Milhøj |
source |
11 |
| SGF |
2012 |
Applying Analytics to High Performance Customer Profitability Models in Financial Services |
Tony Adkins,
Gary Cokins |
source |
9 |
| SGF |
2012 |
Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables |
Eric P. Elkin |
source |
8 |
| SGF |
2012 |
Black Box PROCs: PROC LOGISTIC Discovered |
Isabel H. Perry |
source |
7 |
| SGF |
2012 |
Building WOE Binned LGD Scorecards using SAS Enterprise Miner |
Anthony J. van Berkel,
Naeem Siddiqi |
source |
14 |
| SGF |
2012 |
Classification of Customers Textual Responses via Application of Topic Mining |
Anil K. Pantangi,
Goutam Chakraborty |
source |
6 |
| SGF |
2012 |
Constructing a Credit Risk Scorecard Using Predictive Clusters |
Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita |
source |
13 |
| SGF |
2012 |
Convert Your Old Plots and Charts to New SG Plots and Charts: Here's How |
Gabe Cano |
source |
13 |
| SGF |
2012 |
Creating Pharmacokinetic Graphs Using SAS/GRAPH |
Katrina E. Canonizado,
Matthew Murphy |
source |
8 |
| SGF |
2012 |
Developing a Predictive Model for Customer Trip Purpose to Be Integrated into Enterprise Strategy and Analytics |
Jonathan Levine |
source |
16 |
| SGF |
2012 |
Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer |
Manojkumar B Agravat |
source |
40 |
| SGF |
2012 |
Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics |
Patricia A. Berglund |
source |
20 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| SGF |
2012 |
Hyperslicing with SAS |
Jonathon Khoo,
Ping Shung Koo |
source |
10 |
| SGF |
2012 |
Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX |
Philippe Baecke,
Dirk Van den Poel |
source |
11 |
| SGF |
2012 |
Inflated Beta Regression: Zero, One, and Everything in Between |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
11 |
| SGF |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
David Kessler,
Allen McDowell |
source |
22 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner |
Sascha Schubert,
Susan Haller,
Taiyeong Lee |
source |
15 |
| SGF |
2012 |
Let Oil and Gas Talk to You: Predicting Production Performance |
Keith R. Holdaway |
source |
12 |
| SGF |
2012 |
Look Out: After SAS/STAT 9.3 Comes SAS/STAT 12.1! |
Maura E. Stokes,
Fang K. Chen,
Yang Yuan,
Weijie Cai |
source |
27 |
| SGF |
2012 |
Making it Happen: Using SAS to Implement Business Intelligence and Analytics in Small and Midsize Organizations |
Richard R. Hallquist,
Dragos Coles,
Lorrie Gallego |
source |
16 |
| SGF |
2012 |
Making Your SAS Data JMP Through Hoops |
Mira Shapiro |
source |
19 |
| SGF |
2012 |
Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods |
Joseph C. Gardiner |
source |
15 |
| SGF |
2012 |
Net Lift Model for Effective Direct Marketing Campaigns at 1800flowers.com |
Roman Kubiak |
source |
5 |
| SGF |
2012 |
Off the Beaten Path: Create Unusual Graphs with GTL |
Prashant Hebbar |
source
zip |
26 |
| SGF |
2012 |
Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns |
David C. Ogden |
source |
12 |
| SGF |
2012 |
Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures |
Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee |
source |
11 |
| SGF |
2012 |
SAS Enterprise Guide with SAS On-Demand for Academics: Everything You Need to Know After ""It's Free"" |
AnnMaria De Mars |
source |
20 |
| SGF |
2012 |
Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures |
Varma Nadimpalli,
Katie A. Hubbell |
source |
14 |
| SGF |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| SGF |
2012 |
Transforming Variables for Normality and Linearity - When, How, Why and Why Not's |
Steven M. LaLonde |
source |
8 |
| SGF |
2012 |
Use of Cutoff and SAS Code Nodes in SAS Enterprise Miner to Determine Appropriate Probability Cutoff Point for Decision Making with Binary Target Models |
Yogen Shah |
source |
6 |
| SGF |
2012 |
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles |
Ling Huang |
source |
7 |
| SGF |
2012 |
Using SAS Enterprise BI and SAS Enterprise Miner to Reduce Student Attrition |
Matt T. Bogard,
Chris James,
Tuesdi Helbig,
Gina Huff |
source |
10 |
| SGF |
2012 |
Using SAS for the Design, Analysis, and Visualization of Complex Surveys |
Sharon Lohr |
source |
15 |
| SGF |
2012 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
source |
8 |
| SGF |
2012 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Witelson |
source |
15 |
| SCSUG |
2011 |
An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches |
Ryan Sides |
source |
14 |
| SCSUG |
2011 |
Prediction on Diabetes Using Data Mining Approach |
Pardha Repalli |
source |
10 |
| SCSUG |
2011 |
Using Proc Logistic, SAS Macros and ODS Output to evaluate the consistency of independent variables during the development of logistic regression models. An example from the retail banking industry |
Alexandros Vidras |
source |
9 |
| SCSUG |
2011 |
When It's Not Random Chance: Creating Propensity Scores Using SAS EG |
Josie Brunner |
source |
13 |
| SESUG |
2011 |
Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models |
Jason A. Schoeneberger,
Bethany A. Bell,
Jeffrey D. Kromrey |
source |
16 |
| SESUG |
2011 |
An Exact Implicit Enumeration Algorithm for Variable Selection in Multiple Linear Regression Models Using Information Criteria |
Dennis J. Beal |
source |
12 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| SESUG |
2011 |
Breastfeeding in Developing Countries: A Case Study of Nepalese Children |
Paerwen Paerhate,
George Mason |
source |
4 |
| SESUG |
2011 |
CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis |
Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey |
source |
10 |
| SESUG |
2011 |
JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research |
Melvin T. Alexander |
source |
18 |
| SESUG |
2011 |
Missing_Items: A SAS Macro for Missing Data Imputation in Summative Response Scales |
Patricia Rodríguez de Gil,
Jeffrey D. Kromrey |
source |
13 |
| SESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen |
source |
20 |
| SESUG |
2011 |
RDPLOT: A SAS Macro for Generating Regression Discontinuity Plots |
Jason A. Schoeneberger |
source |
13 |
| SESUG |
2011 |
Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC |
Taylor Lewis |
source |
8 |
| SESUG |
2011 |
Using PROC GPLOT and PROC REG Together to Make One Great Graph |
William 'Gui' Zupko II |
source |
14 |
| WUSS |
2011 |
"Before and After" Models in Observational Research Using Random Slopes and Intercepts |
David J. Pasta |
source |
12 |
| WUSS |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| WUSS |
2011 |
Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM |
Miguel Garcia-Cerrutti |
source |
12 |
| WUSS |
2011 |
Causal Methods for Observational Data |
Amanda Stevenson |
source |
8 |
| WUSS |
2011 |
Consistency of Treatment Effect cross Regions |
Yunfeng Li |
source |
6 |
| WUSS |
2011 |
Evaluation of the Psychometric Properties of the Inventory of the Dimensions of Emerging Adulthood |
Nadra Lisha |
source |
33 |
| WUSS |
2011 |
Hunting for Columbus' Eggs in the SAS Programming World: A Guidance to Creative Thinking for SAS Programmers |
Alice M. Cheng |
source |
12 |
| WUSS |
2011 |
Modeling Interactive Advertising on TiVo: Overcoming the Challenges of Collinearity, Efficiency and Practicality |
Rachel Poulsen |
source |
10 |
| WUSS |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
source |
20 |
| WUSS |
2011 |
Principal Component Regression as a Countermeasure against Collinearity |
Chong Ho Yu |
source |
7 |
| WUSS |
2011 |
SAS Essentials II: Better-Looking SAS for a Better Community |
AnnMaria De Mars |
source |
17 |
| WUSS |
2011 |
SAS Macros for the Working Statistician |
William Krebs |
source |
9 |
| WUSS |
2011 |
Statistical Analyses Using SAS Enterprise Guide |
R. Scott Leslie |
source |
11 |
| WUSS |
2011 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| WUSS |
2011 |
Using affinity Models for Buyer Behaviors |
Matthias Kehder |
source |
2 |
| WUSS |
2011 |
Why Dummy Variable Makes You SMART, and How to Do it SEXY |
Brian Sun |
source |
12 |
| MWSUG |
2011 |
A Graphics Tool for the Evaluation of Longitudinal Outcomes in Clinical Care |
Matthew C. Fenchel,
Laurie M. Kahill,
Katharine D. Sebastian,
Raouf S. Amin,
Rhonda D. VanDyke |
|
10 |
| MWSUG |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
|
19 |
| MWSUG |
2011 |
Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors |
Steven Raimi,
Bruce S. Lund |
|
18 |
| MWSUG |
2011 |
Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans |
Trent D. Buskirk |
|
13 |
| MWSUG |
2011 |
Increased Life Expectancy from Positive Perceptions of Retirement |
Reuben Ng,
Deepak C. Lakra,
Becca R. Levy |
|
10 |
| MWSUG |
2011 |
JMP as an Analytic Hub: Using JMP to Build Custom Applications via SASand R |
Kelci J. Miclaus,
Clay Barker,
Jun Ge |
|
13 |
| MWSUG |
2011 |
Money Demand Estimation using SAS |
Gerard G Tano |
|
16 |
| MWSUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen,
Ying So |
|
20 |
| MWSUG |
2011 |
PROC NLMIXED for Basic Non-Linear Regression |
Keith Dunnigan |
|
12 |
| MWSUG |
2011 |
Regression calibration with multiple imputations for red blood cell fatty acids |
James V. Pottala |
|
8 |
| MWSUG |
2011 |
SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG |
Fang Wang,
Hee-Choon Shin |
|
27 |
| MWSUG |
2011 |
Using JMP Visualizations to Build a Statistical Model |
George J. Hurley |
|
11 |
| MWSUG |
2011 |
Using SAS to Create Sales Expectations for Everyday and Seasonal Products |
Lory Ellebracht,
Jamie Netherton,
Casey Gentry |
|
10 |
| MWSUG |
2011 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
|
8 |
| MWSUG |
2011 |
Using SAS to Find the Best K for K-Nearest-Neighbor Classification |
Charlie Huang |
|
14 |
| NESUG |
2011 |
A Comparison of PDLREG and GAM Procedures in Measuring Dynamic Effects |
Patralekha Bhattacharya |
|
11 |
| NESUG |
2011 |
An Optimal Search Process of "Eigen Knots" for Spline Logistic Regression |
John Gao,
Cheryl Caswell |
|
7 |
| NESUG |
2011 |
How to Increase Sales of Orthopedic Equipment in United States: Factor and Cluster Analysis Using SAS and R |
George Obsekov |
|
15 |
| NESUG |
2011 |
Implementing a Customer Lifetime Value Framework in SAS |
Krishna Mehta |
|
8 |
| NESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
|
20 |
| NESUG |
2011 |
Quantile Regression with PROC QUANTREG |
Peter L. Flom |
|
9 |
| NESUG |
2011 |
Statistical Approach to Biosurveillance in Crisis: What is Next? |
Ernest S. Shtatland,
Timur Shtatland |
|
14 |
| PharmaSUG |
2011 |
Adjusting Analyses of Survey Results using a Predicted Probability of Response |
Rob Gately |
source |
12 |
| PharmaSUG |
2011 |
Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis |
Matthew Davis,
Sharon X. Xie |
source |
9 |
| PharmaSUG |
2011 |
Classification of frequent snoring from routine medical examinations using the NHANES Database |
Barry W. Row |
source |
11 |
| PharmaSUG |
2011 |
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner |
Patricia B. Cerrito |
source |
15 |
| PharmaSUG |
2011 |
Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding |
Manojkumar B Agravat |
source |
44 |
| PharmaSUG |
2011 |
Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures |
Bohdana Ratitch,
Michael O'Kelly |
source |
10 |
| PharmaSUG |
2011 |
SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH |
Arthur L. Carpenter |
source |
15 |
| PharmaSUG |
2011 |
Success As a Pharmaceutical Statistical Programmer |
Sandra Minjoe,
Mario Widel |
source |
7 |
| PharmaSUG |
2011 |
Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools |
Melvin S. Munsaka,
Michael Carniello |
source |
10 |
| PharmaSUG |
2011 |
Using SAS Predictive Modeling to Investigate the Asthma's Patient Future Hospitalization Risk |
Yehia H. Khalil |
source |
7 |
| SGF |
2011 |
An Application of SAS Simulation Studio: The Microsimulation of a Computer-Assisted Telephone Interviewing System |
Yves Belanger,
Kristen Couture,
Elisabeth Neusy |
source |
8 |
| SGF |
2011 |
An Introduction to Survival Analysis Using Complex Sample Survey Data |
Patricia A. Berglund |
source |
20 |
| SGF |
2011 |
Bivariate Count Data Regression Models: A SAS Macro Program |
Nan-Ting Chou,
David Steenhard |
source |
10 |
| SGF |
2011 |
Comparison of Imputation Methods to Examine Mediator Effect for Social Support of Mothers of Mentally Ill Children |
Abbas S. Tavakoli,
Kathleen Scharer,
James Hussey |
source |
7 |
| SGF |
2011 |
Data Mining Using JMP |
Murphy Choy |
source |
9 |
| SGF |
2011 |
Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City |
Ted Clay |
source |
11 |
| SGF |
2011 |
Genetic Algorithm Optimization for Selecting the Best Architecture of a Multi-Layer Perceptron Neural Network: A Credit Scoring Case |
Alejandro Correa,
Andres F. Gonzalez,
Camilo Ladino |
source |
8 |
| SGF |
2011 |
Improving Customer Loyalty Program through Text Mining of Customers Comments |
Maheshwar R. Nareddy,
Goutam Chakraborty |
source |
8 |
| SGF |
2011 |
JMP 9 Add-Ins: Taking Visualization of SAS Data to New Heights |
Eric Hill |
source |
16 |
| SGF |
2011 |
Logit Models in Practice: B, C, E, G, M, N, O, ... |
Joseph C. Gardiner,
Zhehui Luo |
source |
20 |
| SGF |
2011 |
Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 |
Yiu-Fai Yung,
Wei Zhang |
source |
20 |
| SGF |
2011 |
MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models |
Ken Kleinman |
source |
5 |
| SGF |
2011 |
Modeling Percentage Outcomes: The %Beta_Regression Macro |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
12 |
| SGF |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş |
source |
20 |
| SGF |
2011 |
Patron Analytics in the Casino and Gaming Industry: How the House Always Wins |
Scott W. Sutton |
source |
7 |
| SGF |
2011 |
Perl Regular Expression in SAS Macro Programming |
Yanwei Zhang |
source |
7 |
| SGF |
2011 |
Predictive Analysis of Auto Insurance Purchasing Behavior on the Internet |
Roosevelt Mosley |
source |
15 |
| SGF |
2011 |
Present Graph Text-Based Components Using SAS 9.2 Graph Template Language (GTL) |
Zhuoye Xu |
source |
19 |
| SGF |
2011 |
Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM |
Matthew S. Markert |
source |
10 |
| SGF |
2011 |
Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT and SAS Enterprise Miner 5.3 |
Iain L. Brown |
source |
11 |
| SGF |
2011 |
Regression Testing: The SAS Programmers Friend |
Philip James Busby |
source |
11 |
| SGF |
2011 |
SAS/ETS and the Nobel Prize |
David A. Dickey |
source |
14 |
| SGF |
2011 |
Small Area Estimation for Survey Data Analysis Using SAS Software |
Pushpal K. Mukhopadhyay,
Allen McDowell |
source |
19 |
| SGF |
2011 |
Taking Disease and Health Management Analytics into the Next Generation |
George S. Habek |
source |
13 |
| SGF |
2011 |
Testing the Adequacy of ARMA Models using a Weighted Portmanteau Test on the Residual Autocorrelations |
Thomas J. Fisher |
source |
5 |
| SGF |
2011 |
The Anti-Curse: Creating an Extension to SAS Enterprise Miner Using PROC ARBORETUM |
Andrew S. Cathie |
source |
11 |
| SGF |
2011 |
The RANDOM Statement and More: Moving On with PROC MCMC |
Fang K. Chen |
source |
21 |
| SGF |
2011 |
To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! |
Mustaq Ahmad |
source |
12 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Using JMP Visualizations to Build a Statistical Model |
George J. Hurley |
source |
11 |
| SGF |
2011 |
Using PROC LOGISTIC to Estimate the Rasch Model |
Tianshu Pan,
Yumin Chen |
source |
7 |
| SGF |
2011 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| SGF |
2011 |
Visualizing Marginal Effects from Interactions in Generalized Linear Models |
Xiao Chen,
Brigid Wilson |
source |
7 |
| NESUG |
2010 |
A SAS Application to Identify and Evaluate Outliers |
Richard Hendra,
Paulette W. Staum |
|
16 |
| NESUG |
2010 |
An Animated Guide: An introduction to Poisson Regression |
Russell M. Lavery |
|
17 |
| NESUG |
2010 |
An Exercise Using PROC SURVEYREG and NYC HANES: Examining Social Support as a Predictor of Body Mass Index in New York City |
Jackie Lee |
|
6 |
| NESUG |
2010 |
Improve Customer Retention by Answering Who and Why? |
Ward Thomas |
|
8 |
| NESUG |
2010 |
Introduction to Statistical Graphics Procedures |
Selvaratnam Sridharma |
|
20 |
| NESUG |
2010 |
Modeling healthcare expenditures using PROC QUANTREG |
Klaus Lemke |
|
7 |
| NESUG |
2010 |
Multinomial and ordinal logistic regression using SAS |
Peter L. Flom |
|
12 |
| NESUG |
2010 |
Simulating Time Series Analysis Using SAS, Part III: Error Correction Model (ECM) |
Ismail E. Mohamed |
|
7 |
| NESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen |
|
20 |
| NESUG |
2010 |
The Quest for Causation: An Introduction to Correlation and Regression Analysis |
Ian Stockwell |
|
9 |
| NESUG |
2010 |
Using Generalized Additive Models in Marketing Mix Modeling |
Patralekha Bhattacharya |
|
8 |
| NESUG |
2010 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Guil Witelson |
|
15 |
| SCSUG |
2010 |
Boost Your Confidence (Intervals) With SAS |
Peter Langlois |
source |
42 |
| SCSUG |
2010 |
How Good is Your School |
Steve Fleming |
source |
16 |
| SCSUG |
2010 |
Impact of model mis-specification on conditional power in interim survival analysis |
Chao L. Chen |
source |
9 |
| WUSS |
2010 |
An Introduction to Statistical Tests for the SAS Programmer |
Sara Beck |
source |
10 |
| WUSS |
2010 |
Answering Your Research Questions with Inferential Statistics |
Diana D. Suhr |
source |
10 |
| WUSS |
2010 |
Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? |
AnnMaria De Mars |
source |
11 |
| WUSS |
2010 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
7 |
| WUSS |
2010 |
Dummy Coding for Dummies |
Kathryn Martin |
source |
10 |
| WUSS |
2010 |
Mathematical Programming for Surface Complexation Modeling Using SAS |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| WUSS |
2010 |
SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH |
Arthur L. Carpenter |
source |
15 |
| WUSS |
2010 |
The Next Generation: SAS/STAT 9.22 |
Robert N. Rodriguez |
source |
20 |
| PHUSE EU |
2010 |
Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT |
Jadwiga Borucka |
source
presentation source |
13 |
| PHUSE EU |
2010 |
BeST - Bioequivalence Study Template |
Pekka Heikkilä |
source
presentation source |
9 |
| MWSUG |
2010 |
Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models |
Douglas Thompson |
|
21 |
| MWSUG |
2010 |
An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 |
Patricia A. Berglund |
|
12 |
| MWSUG |
2010 |
Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default |
Valentin Todorov,
Douglas Thompson |
|
11 |
| MWSUG |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| MWSUG |
2010 |
Macrotize! A Beginner's Guide to Designing and Writing Macros |
Stacey D. Phillips |
|
12 |
| MWSUG |
2010 |
Medical Guidelines: Consensus Panel Versus Healthcare Analytics |
Patricia B. Cerrito |
|
17 |
| MWSUG |
2010 |
Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching |
Timothy E. O'Brien |
|
13 |
| MWSUG |
2010 |
PROC LIFEREG or PROC PHREG |
Dachao Liu |
|
9 |
| MWSUG |
2010 |
Salesforce Effectiveness at Sears: An Analytic Approach to Goal Setting and Tracking |
Carl Schleyer,
Jason Chavarry |
|
5 |
| MWSUG |
2010 |
SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH |
Arthur L. Carpenter |
|
15 |
| MWSUG |
2010 |
SPC As Part of an Operations Intelligence System Combining JMP and SAS |
Michael Haslam,
Wayne J. Levin |
|
9 |
| MWSUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes |
|
20 |
| MWSUG |
2010 |
Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards |
Michael G. Wilson |
|
24 |
| SESUG |
2010 |
Detecting Medicaid Data Anomalies Using Data Mining Techniques |
Shenjun Zhu,
Qiling Shi,
Aran Canes |
source |
9 |
| SESUG |
2010 |
Developing a Model for Person Estimation in Puerto Rico for the 2010 Census Coverage Measurement Program |
Colt S. Viehdorfer |
source |
12 |
| SESUG |
2010 |
Fitting multivariate random-effects models using SAS PROC GLIMMIX |
Lei Li,
Namasivavayam Ambalavanan,
Abhik Das |
source |
8 |
| SESUG |
2010 |
Potential Change in Reliability Measures Based on Decreased Sample Size for the Census Coverage Measurement Survey |
Vincent Thomas Mule |
source |
12 |
| SESUG |
2010 |
Sample Size Calculation to Evaluate Mediation Analysis |
Rajendra Kadel |
source |
12 |
| SESUG |
2010 |
SAS Macros for Estimating the Attributable Benefit of an Optimal Treatment Regime |
Jason Brinkley |
source |
12 |
| SESUG |
2010 |
SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH |
Arthur L. Carpenter |
source |
15 |
| SESUG |
2010 |
Stationarity Testing in High Frequency Seasonal Time Series |
David A. Dickey |
source |
10 |
| SESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen |
source |
20 |
| SESUG |
2010 |
Using SAS Text Miner 4.1 to create a term list for patients with PTSD within the VA |
Matthew R. Richardson |
source |
9 |
| PharmaSUG |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
|
23 |
| PharmaSUG |
2010 |
Linear Mixed Models in Clinical Trials using PROC MIXED |
Danyang Bing,
Xiaomin He |
|
12 |
| PharmaSUG |
2010 |
Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns |
David C. Ogden |
|
12 |
| PharmaSUG |
2010 |
Using SAS to Compute Partial Correlation |
Jianxin Lin,
Aiming Yang,
Arvind Shah |
|
5 |
| SGF |
2010 |
Adding Statistical Functionality to the DATA Step with PROC FCMP |
Stacey M. Christian,
Jacques Rioux |
source
zip |
13 |
| SGF |
2010 |
Addressable Minds for Understanding the Perception of Marketing Messages |
Howard J. Moskowitz,
Dana Rafiee |
source |
5 |
| SGF |
2010 |
An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry |
Roosevelt Mosley |
source |
20 |
| SGF |
2010 |
An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| SGF |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
source |
23 |
| SGF |
2010 |
Creating Forest Plots from Pre-computed Data Using PROC SGPLOT and Graph Template Language |
Zoran Bursac |
source |
9 |
| SGF |
2010 |
Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX |
Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron |
source |
12 |
| SGF |
2010 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| SGF |
2010 |
Graph Elements You Should Know (Even If You Don't Use SAS/GRAPH Software) |
Arthur L. Carpenter |
source |
15 |
| SGF |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2010 |
Improving the Defense Lines: The Future of Fraud Detection in the Insurance Industry (with Fraud Risk Models, Text Mining, and Social Networks) |
Terisa Roberts |
source |
7 |
| SGF |
2010 |
Improving Your Statistical Consulting Prowess by Adding R to Your SAS Repertoire |
Mark Austen,
Jeffrey M. Gossett,
Maria S. Melguizo,
Chan-Hee Jo |
source |
11 |
| SGF |
2010 |
Integrating JMP with SAS to Create an Automated Workflow Application for Analyzing, Processing, and Reporting 96-Well Plate Format Fluorescence Microplate Reader Data |
Stanley P. Koprowski Jr. |
source |
18 |
| SGF |
2010 |
Introducing PROC PLM and Postfitting Analyses in Very General Linear Models |
Randy Tobias,
Weijie Cai |
source |
18 |
| SGF |
2010 |
Modeling the Severity of Random Events with the SAS/ETS SEVERITY Procedure |
Mahesh V. Joshi |
source |
20 |
| SGF |
2010 |
Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data with the SURVEYPHREG Procedure |
Pushpal K. Mukhopadhyay |
source |
13 |
| SGF |
2010 |
Once You "Know" SAS... How to Keep Learning SAS |
Brenda Beaty |
source |
4 |
| SGF |
2010 |
Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns |
David C. Ogden |
source |
12 |
| SGF |
2010 |
Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
20 |
| SGF |
2010 |
Rapid Predictive Modeling for Customer Intelligence |
Wayne Thompson,
David R. Duling |
source |
12 |
| SGF |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| SGF |
2010 |
SAS 9.2 Business Analytics Framework and IBM PowerVM Virtualization Deployment Scenarios |
Darrell Barton,
Frank Battaglia,
Alfredo Mendoza |
source |
12 |
| SGF |
2010 |
SAS for Green Energy Solutions in Smart Electric Grid Systems |
Farhad Islam |
source |
10 |
| SGF |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez |
source |
20 |
| SGF |
2010 |
The Power of the Group Processing Facility in SAS Enterprise Miner |
Sascha Schubert |
source |
13 |
| SGF |
2010 |
Using Recycled Predictions for Computing Marginal Effects |
Zhongmin Li,
Geeta Mahendra |
source |
10 |
| SGF |
2010 |
Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 |
Zhuoqiao Wang,
William R. Waldron |
source |
9 |
| SGF |
2010 |
Using the SAS System and SAS Enterprise Miner for Data Mining: A Study of Cancer Survival at the Mayo Clinic |
Leonard Gordon |
source |
6 |
| SGF |
2010 |
Visual Displays of Regression toward the Mean Using SAS SGPLOT |
Ginger Burrell,
David P. MacKinnon,
Felix Thoemmes |
source |
8 |
| SESUG |
2009 |
A Logistic Regression Model to Predict Freshmen Enrollments |
Vijayalakshmi Sampath,
Andrew Flagel |
source |
12 |
| SESUG |
2009 |
A Monte Carlo Study to Evaluate the Robust Standard Error Feature in the PHREG procedure |
Ji Li,
Xu Zhang |
source |
7 |
| SESUG |
2009 |
A New Effect Modification P Value Test Demonstrated |
Manojkumar B Agravat |
source |
14 |
| SESUG |
2009 |
A SAS Macro for Deming Regression |
Allison M. Deal,
Virginia W. Pate,
Soumaya El Rouby |
source |
7 |
| SESUG |
2009 |
Constructing Baseline of Customer's Hourly Electric Usage in SAS |
Yuqing Xiao,
Bob Bolen,
Diane Cunningham,
Jiaying Xu |
source |
7 |
| SESUG |
2009 |
Customer Retention Predictive Modeling in HealthCare Insurance Industry |
Jin Su,
Kimberly Cooper,
Tina Robinson,
Brad Jordan |
source |
8 |
| SESUG |
2009 |
Developing Business Failure Prediction Models Using SAS Software |
Oki Kim |
source |
10 |
| SESUG |
2009 |
Export Customized Graphs Directly into Microsoft Word Using Dynamic Data Exchange |
Dennis J. Beal |
source |
11 |
| SESUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| SESUG |
2009 |
MIXED_DX: A SAS Macro for Two-Level Linear Model Diagnostics |
Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
John M. Ferron,
Jeffrey D. Kromrey |
source |
17 |
| SESUG |
2009 |
Short, Sweet and Simple ... how to do more with less in SAS |
Brian Spruell |
source |
6 |
| SESUG |
2009 |
The Use of SAS in Meta-Analysis |
Ryan C. Butterfield |
source |
13 |
| SESUG |
2009 |
Using SAS to Explain Mediator and Moderator Effect for Social Support of Mothers of Mentally Ill Children |
Abbas S. Tavakoli |
source |
13 |
| PHUSE EU |
2009 |
On the use of spreadsheets for statistical analysis |
Martin Gregory |
source |
7 |
| MWSUG |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu,
Chuck Vu,
Sandeep Kharidhi |
|
13 |
| MWSUG |
2009 |
A Comparison of Decision Tree and Logistic Regression Model |
Xianzhe Chen |
|
10 |
| MWSUG |
2009 |
Analysis of Breast Cancer and Surgery as Treatment Options |
Beatrice Ugiliweneza |
|
17 |
| MWSUG |
2009 |
Analysis of Emergency Room Waiting Time in SAS |
Brent Wenerstrom |
|
10 |
| MWSUG |
2009 |
Analysis of Metabolic Disorder - Gout |
Sireesha Ramoju |
|
30 |
| MWSUG |
2009 |
Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management |
Svetlana Zelenskiy,
Lauren Byrne,
Cheryl L. Thompson,
Thomas C. Tucker,
David Bruckman,
Li Li |
|
16 |
| MWSUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
|
14 |
| MWSUG |
2009 |
Mixed Model Selection |
George C. J. Fernandez |
|
19 |
| MWSUG |
2009 |
Outcome Research for Diabetic Inpatients with SAS Enterprise Miner 5.2 |
Xiao Wang |
|
21 |
| MWSUG |
2009 |
Predictive Modeling in Enterprise Miner Versus Regression |
Patricia B. Cerrito |
|
27 |
| MWSUG |
2009 |
Ranking Predictors in Logistic Regression |
Douglas Thompson |
|
13 |
| MWSUG |
2009 |
Time Series Analysis 101: an introduction using Base SAS and SAS STAT |
David J. Corliss |
|
7 |
| PNWSUG |
2009 |
Building Multiple Linear Regression Models - Food for Thought |
Colleen E. McGahan,
Mei Chong |
|
11 |
| PNWSUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
|
14 |
| PNWSUG |
2009 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2009 |
Build Multilevel Model to Assess the Length to Inpatient Readmission Using SAS PROC MIXED |
Qingfeng Liang |
|
13 |
| NESUG |
2009 |
Stopping Stepwise: Why Stepwise Selection Methods are Bad and What you Should use Instead |
David L. Cassell,
Peter L. Flom |
|
7 |
| NESUG |
2009 |
Successfully Implementing Predictive Analytics in Direct Marketing |
John Blackwell,
Tracy DeCanio |
|
7 |
| NESUG |
2009 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| WUSS |
2009 |
A Biometric Analysis of Twin Data Using PROC MIXED |
Mo Zheng |
source |
8 |
| WUSS |
2009 |
Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program |
Nikki M. Carroll |
source |
8 |
| WUSS |
2009 |
Developing Business Failure Prediction Models Using SAS Software |
Oki Kim |
source |
10 |
| WUSS |
2009 |
Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling |
George C. J. Fernandez |
source |
20 |
| WUSS |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2009 |
Effective Graphics Using SAS/GRAPH SG Procedures |
Sanjay N. Matange |
source |
13 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| WUSS |
2009 |
Evaluating the Change in Lung Function Over Time: Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
13 |
| WUSS |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| WUSS |
2009 |
Implementation of an Inventory Routing System Using the SAS Suite of Products |
Dominique M. Richard,
Joel Adler |
source |
7 |
| WUSS |
2009 |
Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export |
Keiko I. Powers |
source |
10 |
| WUSS |
2009 |
Introduction to the Graph Template Language |
Sanjay N. Matange |
source |
18 |
| WUSS |
2009 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2009 |
Optimal Model Selection By a Genetic Algorithm Using SAS |
Jerry Tsai |
source |
13 |
| WUSS |
2009 |
Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce |
Mikael Peterson |
source |
4 |
| WUSS |
2009 |
Using Recycled Predictions for Estimating Marginal Effects |
Geeta Mahendra,
Zhongmin Li |
source |
9 |
| WUSS |
2009 |
Validating the Bland-Altman Method of Agreement |
Ryan Fernandez,
George C. J. Fernandez |
source |
17 |
| PharmaSUG |
2009 |
Detection of Multiple Outliers in UNIVARIATE Data Sets |
Marek K. Solak |
|
7 |
| PharmaSUG |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2009 |
Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 |
Robert G. Downer,
Patrick J. Richardson |
|
11 |
| PharmaSUG |
2009 |
ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 |
Sanghyuk Shin |
|
15 |
| PharmaSUG |
2009 |
The Existence of Maximum Likelihood Estimates for the Logistic Regression Model |
William F. McCarthy,
Nan Guo |
|
12 |
| PharmaSUG |
2009 |
Using SAS to Create Graphs with Pop-up Functions |
Wei Zhou |
|
7 |
| SGF |
2009 |
%QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares |
Hanjoo Kim,
Justine Shults |
source |
12 |
| SGF |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu,
Chuck Vu,
Sandeep Kharidhi |
source |
13 |
| SGF |
2009 |
A Flexible Count Data Regression Model Using SAS PROC NLMIXED |
Nan-Ting Chou,
David Steenhard |
source |
14 |
| SGF |
2009 |
A SAS Macro for Adaptive Regression Modeling |
George J. Knafl |
source |
9 |
| SGF |
2009 |
An Analysis of Market Shares on the Danish Alcohol Market Using Unobserved Components |
Anders Milhøj |
source |
10 |
| SGF |
2009 |
Analysis of Survival Data with Clustered Events |
Lida Gharibvand,
Lei Liu |
source |
11 |
| SGF |
2009 |
Beyond SAS/Genetics |
Amina Barhdadi,
Yassamin Feroz Zada,
Marie-Pierre Dube |
source |
10 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Configuration Management for SAS Software Projects |
Steven J. O'Donoghue,
Andrew B. Ratcliffe |
source |
37 |
| SGF |
2009 |
Examining Mediator and Moderator Effect Using Rural-Women HIV Study |
Kirby Jackson,
Linda Moneyham,
Abbas S. Tavakoli |
source |
6 |
| SGF |
2009 |
Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling |
Wensui Liu,
Jimmy Cela,
Chuck Vu |
source |
14 |
| SGF |
2009 |
Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| SGF |
2009 |
Interactive Outlier Review and Regression Analysis in SAS Stat Studio |
Robert Seffrin |
source |
10 |
| SGF |
2009 |
Parsimony vs. Complexity: A Monte Carlo Investigation of Hierarchical and Cross-Classified Modeling Using SAS PROC MIXED |
Bethany A. Bell,
Corina M. Owens,
Jeffrey D. Kromrey,
John M. Ferron |
source |
12 |
| SGF |
2009 |
SAS Enterprise Guide for the Business Analyst |
Lina Clover |
source |
11 |
| SGF |
2009 |
Simulating Time Series Analysis Using SAS - Part I The Augmented Dickey-Fuller (ADF) Test |
Ismail E. Mohamed |
source |
7 |
| SGF |
2009 |
Simulating Time Series Analysis Using SAS - Part II Cointegration |
Ismail E. Mohamed |
source |
8 |
| SGF |
2009 |
Source of Nitrogen in Q-BOP Steel (Statistical Analysis) |
Arkady M. Kushnir |
source |
19 |
| SGF |
2009 |
Stationarity Testing in High Frequency Seasonal Time Series |
David A. Dickey |
source |
8 |
| SGF |
2009 |
Structural Analysis of Time Series Using the SAS/ETS UCM Procedure |
Rajesh S. Selukar |
source |
13 |
| SGF |
2009 |
Test Linearity between Continuous Confounder and Binary Outcome First, Run Multivariate Regression Analysis Second |
Jiming Fang,
Peter C. Austin,
Jack V. Tu |
source |
8 |
| SGF |
2009 |
The Next Generation: SAS Enterprise Miner 6.1 |
David R. Duling,
Wayne Thompson |
source |
10 |
| SGF |
2009 |
The Problem of Regression Assumptions and the Use of Predictive Modeling |
Patricia B. Cerrito |
source |
20 |
| SGF |
2009 |
Tips and Techniques for Analytic Web Services |
Daniel Jahn,
Bradley W. Klenz |
source |
16 |
| SGF |
2009 |
Using GEE to Model Student's Satisfaction: A SAS Macro Approach |
Teck Kiang Tan,
Trivina Kang,
David Hogan |
source |
12 |
| WUSS |
2008 |
A Step-by-Step Guide to Survival Analysis |
Lida Gharibvand |
source |
16 |
| WUSS |
2008 |
Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program |
Nikki M. Carroll |
source |
8 |
| WUSS |
2008 |
Automating the process of choosing among highly correlated covariates for multivariable logistic regression |
Michael C. Doherty |
source |
7 |
| WUSS |
2008 |
Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
2008 |
Demystifying Popular SAS Procedures. |
Lisa Smith |
source |
17 |
| WUSS |
2008 |
Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model |
Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao |
source |
16 |
| WUSS |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2008 |
Score Test of Proportionality Assumption for Cox Models |
Xiao Chen |
source |
6 |
| WUSS |
2008 |
Statistical Analysis of Source of Nitrogen in Q-BOP Steel |
Arkady M. Kushnir |
source |
10 |
| WUSS |
2008 |
Step your way through Path Analysis |
Diana D. Suhr |
source |
10 |
| WUSS |
2008 |
Surviving Left Truncation Using PROC PHREG |
Aimee Foreman,
Ginny Lai,
Dave P. Miller |
source |
8 |
| WUSS |
2008 |
User-friendly SAS Macro Application for performing all possible mixed model selection - An update |
George C. J. Fernandez |
source |
19 |
| WUSS |
2008 |
Using Propensity Scores To Adjust For Treatment Selection Bias |
R. Scott Leslie |
source |
7 |
| SESUG |
2008 |
Count Regression Models in SAS |
David Steenhard,
Nan-Ting Chou |
source |
12 |
| SESUG |
2008 |
Interactive Outlier Review and Regression Analysis in Stat Studio |
Robert Seffrin |
source |
9 |
| SESUG |
2008 |
Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression |
Travis A. Moebes |
source |
9 |
| SESUG |
2008 |
Marketing Mix Modeling: Techniques and Challenges |
Patralekha Bhattacharya |
source |
6 |
| SESUG |
2008 |
Reject Inference Methodologies in Credit Risk Modeling |
Derek Montrichard |
source |
10 |
| SESUG |
2008 |
SAS Code for Variable Selection in Multiple Linear Regression Models Using Information Criteria Methods with Explicit Enumeration for a Large Number of Independent Regressors |
Dennis J. Beal,
Oak Ridge |
source |
9 |
| SESUG |
2008 |
Surviving Survival Analysis - An Applied Introduction |
Christianna S. Williams |
source |
17 |
| SESUG |
2008 |
Teaching Data Mining: the University of Alabama and SAS |
Michael D. Conerly,
J. Michael Hardin |
source |
5 |
| SESUG |
2008 |
Techniques for Evidence-Based Decision Making Using SAS |
Ian Stockwell |
source |
8 |
| PHUSE EU |
2008 |
A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression |
Martin Gregory |
source |
9 |
| PHUSE EU |
2008 |
A gentle introduction to Survival Analysis |
Martin Scottt,
Angelo Tinazzi |
source |
13 |
| PHUSE EU |
2008 |
Automatic Unit Testing of SAS programs with SASUnit |
Andreas Mangold,
Patrick René Warnat |
source |
11 |
| PHUSE EU |
2008 |
SHARE - A Reporting System for Efficacy Outputs using SAS Macro |
Vinod Kaippillil Mukundaprasad |
source |
9 |
| PHUSE EU |
2008 |
Statistically guided review of safety data in clinical trials |
Michael O'Connell,
Harry Southworth |
source |
12 |
| MWSUG |
2008 |
Chemical Informatics using JMP PowerMV and ChemModLab |
S. Stanley Young,
Thomas H. Burger,
Michael S. Lajiness,
Wolf-D. Ihlenfeldt |
|
40 |
| MWSUG |
2008 |
Classification of Breast Cancer Cells Using JMP |
Marie Gaudard |
|
34 |
| MWSUG |
2008 |
Consensus NMF: A unified approach to two-sided testing of micro array data |
Paul Fogel,
S. Stanley Young |
|
41 |
| MWSUG |
2008 |
Experimental Learning: Use of JMP Journal in Six Sigma Green and Black Belt Training |
Amurthur Ramamurthy,
Paul Cook |
|
16 |
| MWSUG |
2008 |
Inverse Prediction Using SAS Software: A Clinical Application |
Jayawant N. Mandrekar,
Cristine Allmer |
|
7 |
| MWSUG |
2008 |
Long-Term Value Modeling in the Automobile Industry |
Jeff Ames,
Cathy Hackett,
Bruce S. Lund |
|
6 |
| MWSUG |
2008 |
Mastectomy Versus Lumpectomy In Breast Cancer Treatment |
Beatrice Ugiliweneza |
|
17 |
| MWSUG |
2008 |
So, Who's Afraid of Nonlinear Regression? |
Heinz Plaumann |
|
14 |
| MWSUG |
2008 |
The Difference Between Predictive Modeling and Regression |
Patricia B. Cerrito |
|
19 |
| PNWSUG |
2008 |
Applied Aspects of Using Multiple Imputation in Clinical Data |
Christina Gullion |
|
7 |
| PNWSUG |
2008 |
Effective Graphics Made Simple Using SAS/GRAPH SG Procedures |
Dan Heath |
|
18 |
| PNWSUG |
2008 |
Stopping Stepwise: Why Stepwise and Similar Selection Methods Are Bad, and What You Should Use |
David L. Cassell |
|
7 |
| PNWSUG |
2008 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2008 |
An Introduction to the SAS Survey Analysis PROCs |
Xiuhua Chen,
Paul Gorrell |
|
17 |
| NESUG |
2008 |
Dummy Variables and the Relationship of Deaf and Hearing Growth Using SAS/GRAPH |
Richard Dirmyer,
Sara Schley |
|
6 |
| NESUG |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
|
14 |
| NESUG |
2008 |
Proc Logistic Plus: The Power Of Variable Transformations |
Krishna Mehta,
Nitin K. Jain,
Varun Aggarwal |
|
4 |
| NESUG |
2008 |
Surviving Survival Analysis - An Applied Introduction |
Christianna S. Williams |
|
17 |
| NESUG |
2008 |
Time Series Analysis Using SAS - Part I - The Augmented Dickey Fuller (ADF) Test |
Ismail E. Mohamed |
|
6 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| NESUG |
2008 |
Understanding Why Physicians Choose A Certain Drug When Treating A Patient - What Product Attributes Matter Most |
Marc States |
|
5 |
| PharmaSUG |
2008 |
An Identification of Diagnostic and Procedure Codes Related to Death and Malnutrition, but not Length of Stay or Total Charges |
Salina Burns |
|
15 |
| PharmaSUG |
2008 |
Automated SAS Macro for Adverse Event Logistic Regression Analysis |
Suhas R. Sanjee |
|
8 |
| PharmaSUG |
2008 |
Automating the process of choosing among highly correlated covariates for multivariable logistic regression |
Michael C. Doherty,
Xiaochun Zhang |
|
8 |
| PharmaSUG |
2008 |
Bayesian Data Analysis Using %WinBUGS |
Lei Zhang |
|
18 |
| PharmaSUG |
2008 |
Effective Graphics Made Simple Using SAS/GRAPH SG Procedures |
Dan Heath |
|
18 |
| PharmaSUG |
2008 |
Joint Repair: A Statistical Analysis of Patient Data |
Grant Johnson |
|
20 |
| PharmaSUG |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
|
34 |
| PharmaSUG |
2008 |
Sample Size Estimation for Trials of Recurrent Events |
Kuolung Hu |
|
8 |
| PharmaSUG |
2008 |
SHARE - A Reporting System for Efficacy Outputs using SAS Macro |
Axel Muehlig |
|
12 |
| PharmaSUG |
2008 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
|
14 |
| PharmaSUG |
2008 |
The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias |
R. Scott Leslie |
|
8 |
| PharmaSUG |
2008 |
Using SAS Enterprise Guide 4.0 to find a Correlation between Mortality and Co-morbidities for Prostate Disease Patients |
Jeong W. Park |
|
18 |
| SGF |
2008 |
A SAS Text Mining Approach to Predicting the Resolvability of Disputes between eBays Sellers and Buyers |
Kevin S. Henning,
Zhangxi Lin |
source |
12 |
| SGF |
2008 |
Advanced Statistical and Graphical features of SAS PHREG |
Lida Gharibvand,
George C. J. Fernandez |
source |
12 |
| SGF |
2008 |
Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
23 |
| SGF |
2008 |
Analysis of Breast Cancer Using SAS |
Beatrice Ugiliweneza |
source |
8 |
| SGF |
2008 |
Another Look at Low-Order Autoregressive Models in Early Detection of Epidemic Outbreaks and Explosive Behaviors in Economic and Financial Time Series |
Ernest S. Shtatland |
source |
12 |
| SGF |
2008 |
Building Mathematics-Achievement Models for Developed and Developing Countries: An Application of SAS to Large-Scale, Secondary Data Management and Analysis |
Ha Phan |
source |
12 |
| SGF |
2008 |
Convergence Failures in Logistic Regression |
Paul D. Allison |
source |
11 |
| SGF |
2008 |
Count Data Models in SAS |
Wensui Liu,
Jimmy Cela |
source |
12 |
| SGF |
2008 |
Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis |
Anpalaki J. Ragavan |
source |
14 |
| SGF |
2008 |
Effective Graphics Made Simple Using SAS/GRAPH SG Procedures |
Dan Heath |
source |
18 |
| SGF |
2008 |
Employing SAS Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management |
Kristof Coussement |
source |
12 |
| SGF |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
source |
14 |
| SGF |
2008 |
Horizon Estimation Using SAS Software |
Gary A. Foster,
Charles Goldsmith |
source |
9 |
| SGF |
2008 |
How to Use SAS to Fit Multiple Logistic Regression Models |
Anpalaki J. Ragavan |
source |
13 |
| SGF |
2008 |
Identifying Potential Default Loan Applicants: A Case Study of Consumer Credit Decision for Chinese Commercial Bank |
Zhangxi Lin,
Qiwei Gan,
Binjie Luo |
source |
12 |
| SGF |
2008 |
In Search for a Golden Algorithm |
Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford |
source |
9 |
| SGF |
2008 |
Integrating Consumer Demand to Improve Shipment Forecasts |
Charles Chase |
source |
10 |
| SGF |
2008 |
Introduction to Correlation and Regression Analysis |
Ian Stockwell |
source |
8 |
| SGF |
2008 |
It's 9:00 AM: Do You Know Where Your Critical Talent Is? Retention Analytics for Human Capital Management |
Lynn Creecy,
Bradley W. Klenz |
source |
11 |
| SGF |
2008 |
Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression |
Travis A. Moebes |
source |
9 |
| SGF |
2008 |
ODS for the Professional Statistician |
Steven M. LaLonde |
source |
9 |
| SGF |
2008 |
Old Versus New: A Comparison of PROC LOGISTIC and PROC GLIMMIX |
Rebecca Christofferson |
source |
6 |
| SGF |
2008 |
Raising the Bar in Generating Bar Charts and More: A Push-of-the-Button Approach in SAS |
Rita Tsang |
source |
15 |
| SGF |
2008 |
Reliability and Validity Testing using SAS/STAT |
Andrea Roofe |
source |
8 |
| SGF |
2008 |
Structural Equation Modeling and Path Analysis Using PROC TCALIS in SAS 9.2 |
Yiu-Fai Yung |
source |
20 |
| SGF |
2008 |
The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias |
R. Scott Leslie,
Hassan Ghomrawi |
source |
8 |
| SGF |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Anthony B. An,
Pushpal K. Mukhopadhyay,
Randall D. Tobias,
Donna L. Watts |
source |
16 |
| SGF |
2008 |
Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry |
Glendon Cross,
Wayne Thompson |
source |
14 |
| SGF |
2008 |
Updates to SAS Power and Sample Size Software in SAS 9.2 |
Wayne E. Watson |
source |
10 |
| SGF |
2008 |
Using SAS Enterprise Miner to Prescribe a Pre-Screen Mailing |
Rex Pruitt |
source |
6 |
| SGF |
2008 |
Using Text Mining to Classify Requests and Prepare Semiautomatic Answers |
Wolfgang Himmel,
Ulrich Reincke,
Hans W. Michelmann |
source |
8 |
| SGF |
2008 |
Zero-Inflated Poisson and Zero-Inflated Negative Binomial Models Using the COUNTREG Procedure |
Donald Erdman,
Arthur V. Sinko |
source |
11 |
| NESUG |
2007 |
Application of Ghosh, Grizzle and Sen's Nonparametric Methods in Longitudinal Studies Using SAS PROC GLM |
Chan Zeng,
Gary Zerbe |
|
14 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| NESUG |
2007 |
Customizing Output for Regression Analyses Using ODS and the Data Step |
Zhenyi Xue |
|
11 |
| NESUG |
2007 |
Implementing Multiple Imputation in an Automatic Variable Selection Scenario |
Krishna Mehta,
Mayank Rustagi,
Saurabh Kohli,
Siddharth Tiwari |
|
4 |
| NESUG |
2007 |
Low-Order Autoregressive Models in Early Detection of Epidemic Out-breaks and Explosive Behaviors in Economic and Financial Time Series |
Ernest S. Shtatland |
|
10 |
| NESUG |
2007 |
Navigating the SAS Training Experience |
Amy Peters |
|
5 |
| NESUG |
2007 |
ODS, An Introduction to Creating Output Data Sets |
Elisabeth Pyle |
|
7 |
| NESUG |
2007 |
Offset Techniques in Predictive Modeling for Insurance |
Matthew J. Flynn,
Jun Yan |
|
9 |
| NESUG |
2007 |
PROC LOGISTIC: The Logistics Behind Interpreting Categorical Variable Effects |
Taylor Lewis |
|
7 |
| NESUG |
2007 |
Programming Rolling Regressions in SAS |
Michael Boldin |
|
12 |
| NESUG |
2007 |
Reliability Analysis: Calculate and Compare Intraclass Correlation Coefficients (ICC) in SAS |
Li Lu,
Nawar Shara |
|
4 |
| NESUG |
2007 |
SAS, Econometrics, and Computation Speed |
Michael Boldin |
|
12 |
| NESUG |
2007 |
Selecting the Appropriate Outlier Detection Technique for Common Industry Applications |
Kunal Tiwari,
Krishna Mehta,
Nitin Jain,
Ramandeep Tiwari,
Gaurav Kanda |
|
5 |
| NESUG |
2007 |
Stopping Stepwise: Why Stepwise and Similar Selection Methods Are Bad, and What You Should Use |
Peter Flom,
David L. Cassell |
|
7 |
| NESUG |
2007 |
Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves |
Mithat Gonen |
|
18 |
| NESUG |
2007 |
Using Macro and ODS to Overcome Limitations of SAS Procedures |
Wei (Lisa) Lin,
Jing Su |
|
7 |
| NESUG |
2007 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| NESUG |
2007 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
|
22 |
| NESUG |
2007 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| NESUG |
2007 |
Variable Selection and Variable Transformations in SAS Enterprise Miner 5.2 |
Kattamuri S. Sarma |
|
12 |
| SESUG |
2007 |
Data Mining Episode Groupers |
Patricia B. Cerrito |
source |
13 |
| SESUG |
2007 |
Information Criteria Methods in SAS for Multiple Linear Regression Models |
Dennis J. Beal |
source |
10 |
| SESUG |
2007 |
Integrating SAS and Microsoft .NET for Data Analysis |
Mai Nguyen,
Shane Trahan,
Patricia Nguyen,
Jonathan Cirella |
source |
10 |
| SESUG |
2007 |
Selection Bias Adjustment: Root Canal Therapy and Self-reported Oral Health |
Mark S. Litaker,
Sandre F. McNeal,
Gregg H. Gilbert |
source |
9 |
| SESUG |
2007 |
USE OF ARIMA TIME SERIES AND REGRESSORS TO FORECAST THE SALE OF ELECTRICITY |
Beatrice Ugiliweneza |
source |
11 |
| SESUG |
2007 |
Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) |
Andrea J Roofe |
source |
12 |
| MWSUG |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
|
20 |
| MWSUG |
2007 |
Using Data Mining Techniques to Predict Student Development and Retention |
Morgan C. Wang |
|
59 |
| WUSS |
2007 |
An Example of SAS Application in Public Health Research --- Predicting Smoking Behavior in Changqiao District, Shanghai, China |
Ding Ding |
source |
8 |
| WUSS |
2007 |
Automating Regression Analysis and PDF Report Output with the Use of Macros: Tricks for Disabling Default Delimiters and Making Use of Counters |
Svetlana Smorodinsky,
Bob McLaughlin |
source |
7 |
| WUSS |
2007 |
Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner |
Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford |
source |
9 |
| WUSS |
2007 |
Data Mining Using SAS Enterprise Miner |
Randall Matignon |
source |
10 |
| WUSS |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2007 |
New SAS/GRAPH Procedures for Creating Statistical Graphics |
Cleester D. Heath |
source |
16 |
| WUSS |
2007 |
Recreating the SELECTION=SCORE Model Specification with the BEST=n Effect Selection Option for PROC SURVEYLOGISTIC |
Sara R. Adams,
David R. Mink,
Dave P. Miller |
source |
8 |
| WUSS |
2007 |
Survival Analysis Plots Using SAS ODS Graphics |
Lida Gharibvand,
George C. J. Fernandez |
source |
10 |
| WUSS |
2007 |
The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias |
R. Scott Leslie |
source |
8 |
| WUSS |
2007 |
Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| WUSS |
2007 |
Using the NPAR1WAY Procedure to Investigate Philanthropy Preference Survey Data |
Joseph E. Earley,
Kimberly Rodriguez |
source |
7 |
| WUSS |
2007 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PHUSE EU |
2007 |
Consideration of endogenous backgrounds in PK analyses |
Fritz Schindel |
source |
10 |
| PHUSE EU |
2007 |
Data mining in the clinical research environment |
David Smith |
source |
7 |
| PHUSE EU |
2007 |
Method Validation in a PAT Environment using a SAS EG Addin |
Robert Eric Huisden |
source |
6 |
| SCSUG |
2007 |
A SAS Macro for Hosmer and Lemeshow's Purposeful Selection Model Building Algorithm: Description and Performance |
David Williams,
Zoran Bursac,
David K. Hosmer |
|
6 |
| SCSUG |
2007 |
Deploying Predictive Models in the Newspaper Industry |
April Wilson,
Kuao-Tien Chen |
|
23 |
| SCSUG |
2007 |
Efficiencies of Using Count Data Rather than Raw Data in Regression |
Steve Fleming |
|
10 |
| SCSUG |
2007 |
Market Research using SAS, Ruby-on-Rails, and Sawtooth |
Tom Taylor |
|
7 |
| SCSUG |
2007 |
Propensity Scoring Tutorial by Simulation in SAS |
Dee H. Wu,
David M. Thompson,
David Bard |
|
11 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PNWSUG |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PNWSUG |
2007 |
Missing Data? A Look at Two Imputation Methods |
Anita Rocha |
|
8 |
| PNWSUG |
2007 |
New SAS Statistical Software: Just Over the Horizon [presentation] |
Randy Tobias |
|
48 |
| PharmaSUG |
2007 |
A Review of Propensity Score Application in Healthcare Outcome and Epidemiology |
Guiping Yang |
|
24 |
| PharmaSUG |
2007 |
Coding for Efficient Presentations: The Case of Trend Tests |
Karen M. Schlangen |
|
11 |
| PharmaSUG |
2007 |
Effects of Multicollinearity in All Possible Mixed Model Selection |
George C. J. Fernandez |
|
18 |
| PharmaSUG |
2007 |
Graphing Estimates of Regression Models for Discrete and Limited Dependent Variables |
Jianming He,
David Budd |
|
10 |
| PharmaSUG |
2007 |
Growing Growth Curves Using PROC MIXED and PROC NLMIXED |
Jeffrey M. Gossett,
Pippa Simpson,
Patrick Casey,
Leanne Whiteside-Mansell,
Robert Bradley,
Chan-Hee Jo |
|
10 |
| PharmaSUG |
2007 |
SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice |
Shi-Tao Yeh,
Scott D Patterson |
|
20 |
| PharmaSUG |
2007 |
Several Graph Types in Clinical Studies |
Long Zheng,
Suriani Pokta,
Pan-Yu Lai |
|
8 |
| SGF |
2007 |
A Purposeful Selection of Variables Macro for Logistic Regression |
Zoran Gauss,
C. Heath Williams,
David K. Hosmer,
David W. Bursac |
source |
5 |
| SGF |
2007 |
Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software |
Bethany A. Kromrey,
Jeffrey D. Bell-Ellison |
source |
10 |
| SGF |
2007 |
Analyzing Time Series Cross-Sectional Data with the PANEL Procedure |
Jan Chvosta,
Donald Erdman |
source |
11 |
| SGF |
2007 |
Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach |
Michael J. Sobczak |
source |
12 |
| SGF |
2007 |
Best Practices for Implementing a BI Strategy with SAS |
Mike Varney,
Brian Vanderlinden |
source |
10 |
| SGF |
2007 |
Critical Success Factors for Rate Making with SAS Enterprise Miner |
Hrushikesh Khopkar,
Jay King |
source |
17 |
| SGF |
2007 |
Customer Case Study: The Evolution of Financial Risk Analytics at EnCana |
Gord Anderson,
Mark Perrin |
source |
15 |
| SGF |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| SGF |
2007 |
Effect Modification Investigation Using SAS - A Model-Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
11 |
| SGF |
2007 |
Find the Best Prospects for a New Product by Using a Data Mining Model |
Ting Millette |
source |
8 |
| SGF |
2007 |
Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth" |
Paul Dirmyer,
Richard Schley,
Sara Martino |
source |
10 |
| SGF |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
source |
20 |
| SGF |
2007 |
Improving Credit Scoring by Generalized Additive Model |
Wensui Cela,
Jimmy Liu |
source |
9 |
| SGF |
2007 |
Introducing a SAS Macro for Doubly Robust Estimation |
Michele Westreich,
Daniel Davidian,
Marie Wiesen,
Chris Jonsson Funk |
source |
8 |
| SGF |
2007 |
Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression |
Pedro A. Macchiavelli,
Raul Torres |
source |
10 |
| SGF |
2007 |
Methodology for Railway Demand Forecasting Using Data Mining |
Giovanni M. Viglioni |
source |
11 |
| SGF |
2007 |
Model Selection in PROC MIXED-A User-Friendly SAS Macro Application |
George C. J. Fernandez |
source |
20 |
| SGF |
2007 |
Navigating the SAS Training Experience |
Amy Peters |
source |
5 |
| SGF |
2007 |
New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis |
Dan Heath |
source |
16 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| SGF |
2007 |
OLS Regression? Auto-Regression? Dynamic Regression? |
Rodger Zhang |
source |
12 |
| SGF |
2007 |
Predicting Software Maintenance Outcomes Using Data Mining and Text Mining |
Uzma Raja |
source |
9 |
| SGF |
2007 |
Predictive Modeling in Higher Education |
Tom Bohannon |
source |
14 |
| SGF |
2007 |
Regression Splines with Longitudinal DATA |
Chan-Hee Gossett,
Jeff M. Simpson,
Pippa M. Jo |
source |
6 |
| SGF |
2007 |
Repeated Measures Analysis with Clustered Subjects |
Ramon C. Littell |
source |
11 |
| SGF |
2007 |
SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD |
Bonnie E. Williams,
Todd Kegan |
source |
12 |
| SGF |
2007 |
SAS Response: Revenue Assurance for Energy ... Using SAS Solutions to Leverage Corporate Intelligence to Fuel Effective, Forward-Looking Decisions in Volatile Markets |
Craig McMane,
Steve Carothers |
source |
11 |
| SGF |
2007 |
Saving Trees with Output Delivery System (ODS) |
Angelina D. Diehl,
Nancy Mandrekar,
Jayawant N. Tan |
source |
9 |
| SGF |
2007 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS |
Leonor L. Ayyangar |
source |
7 |
| SGF |
2007 |
Text Mining and PROC KDE to Rank Nominal Data |
Patricia B. Cerrito |
source |
21 |
| SGF |
2007 |
Using Propensity Scores To Adjust For Treatment Selection Bias |
R. Scott Thiebaud,
Patrick Leslie |
source |
4 |
| SGF |
2007 |
Using SAS Macros to Produce Tables for Publication from SAS-Callable SUDAAN |
Roger P. Pickering |
source |
10 |
| SGF |
2007 |
Using SAS PROC NLMIXED for Robust Regression |
Steven A. Chen,
Lingyun Gilbert |
source |
9 |
| SGF |
2007 |
Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling |
John A. Cherrie |
source |
12 |
| PNWSUG |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| PNWSUG |
2006 |
You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| MWSUG |
2006 |
A SAS Macro for Performing Backward Selection in Proc Surveyreg |
Qixuan Chen |
|
5 |
| MWSUG |
2006 |
Association of Computer Operator Errors and Lunar Phases |
David J. Corliss |
|
4 |
| MWSUG |
2006 |
Checking Assumptions in the Cox Proportional Hazards Regression Model |
Brenda W Gillespie |
|
70 |
| MWSUG |
2006 |
Deploying SAS as the Cornerstone of a Stability Monitoring Program |
Jeff Gardner |
|
9 |
| MWSUG |
2006 |
How to use Summary Statistics as raw data to do basic statistical analysis |
Dachao Liu |
|
6 |
| MWSUG |
2006 |
SAS Macros for Statistical Analysis and Data Management |
Brandy R. Sinco |
|
14 |
| SCSUG |
2006 |
Some SAS Techniques Used in Insurance Business |
Wei Yu |
|
4 |
| SCSUG |
2006 |
What's New in SAS Enterprise Miner 5.2 |
Wayne Thompson,
David R. Duling |
|
10 |
| PHUSE EU |
2006 |
A tour through PTOC ROBUSTREG |
Michael O'Kelly |
source |
8 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell,
Sven Knudsen |
source |
13 |
| PHUSE EU |
2006 |
The Hazards of Modelling Proportional Hazards in SAS |
Erika Daly,
Farzana Sufi |
source |
4 |
| SESUG |
2006 |
Effect Modification Investigation Using SAS - A Model Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
10 |
| SESUG |
2006 |
Graphics for Statistical Concepts and Data Display |
David A. Dickey |
source |
19 |
| SESUG |
2006 |
PO04 PUB_BIAS: A SAS Macro for Detecting |
Publication Bias,
Gianna Rendina-Gobioff,
Jeffrey D. Kromrey |
source |
17 |
| SESUG |
2006 |
ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival |
Andrew Karem |
source |
18 |
| SESUG |
2006 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology |
Stuart D. Long |
source |
21 |
| WUSS |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez,
Tonya E. Balan |
source |
32 |
| WUSS |
2006 |
Detecting Structural Change Using SAS ETS Procedures |
Archie J. Calise,
Joseph E. Earley |
source |
7 |
| WUSS |
2006 |
Dynamic Code Creation Using Call Symput and the SAS Macro Language |
Mark Gustafson |
source |
4 |
| WUSS |
2006 |
Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations |
Daniel Smith,
Elana Silver,
Martha Harnly |
source |
8 |
| WUSS |
2006 |
Find the Best Prospects for a New Product by Using a Data Mining Model |
Ting Wu |
source |
8 |
| WUSS |
2006 |
Get the Correct Hazard Ratio from SAS PROC PHREG Procedure |
Betty Ying Wang |
source |
7 |
| WUSS |
2006 |
Hierarchical Logistic Regression Modeling with SAS GLIMMIX |
Jian Dai,
Zhongmin Li,
David Rocke |
source |
9 |
| WUSS |
2006 |
PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2006 |
Sample Survey Data and the Procs you OUGHT To Be Using |
David L. Cassell |
source |
13 |
| WUSS |
2006 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS |
Leonor Ayyangar |
source |
7 |
| WUSS |
2006 |
The Basics of Structural Equation Modeling |
Diana D. Suhr |
source |
19 |
| WUSS |
2006 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
source |
14 |
| WUSS |
2006 |
Using Propensity Scores To Adjust For Treatment Selection Bias |
Scott P. Leslie,
Patrick Thiebaud |
source |
4 |
| WUSS |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| NESUG |
2006 |
Data Analysis: Beyond the Basics |
Ian Stockwell |
|
9 |
| NESUG |
2006 |
Logistic Regression Basics |
Joseph J. Guido,
Paul Winters,
Adam Rains |
|
7 |
| NESUG |
2006 |
Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 |
Jodi Blomberg,
Jacqueline K. Long |
|
12 |
| NESUG |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
|
18 |
| NESUG |
2006 |
Segmentation For Insurance Payments |
Michael Sherlock |
|
10 |
| NESUG |
2006 |
Statistical analysis of clustered data using SAS |
Gui-Shuang Ying,
Chengcheng Liu |
|
13 |
| NESUG |
2006 |
Survey Logistic Regression: Some SAS-SUDAAN Comparisons |
Xiuhua Chen |
|
7 |
| NESUG |
2006 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| NESUG |
2006 |
Using SAS to Find Bootstrap Estimates of Field Air Sampling Data |
James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew |
|
4 |
| NESUG |
2006 |
Using SAS to improve the quantification of environmental chemistry samples |
Charles Dow,
Anthony Aufdenkampe |
|
8 |
| NESUG |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| PharmaSUG |
2006 |
Analyzing Ordinal Repeated Measures Data Using SAS |
Bin Yang |
|
8 |
| PharmaSUG |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez |
|
32 |
| PharmaSUG |
2006 |
From GLM to GLIMMIX-Which Model to Choose? |
Patricia B. Cerrito |
|
7 |
| PharmaSUG |
2006 |
Generating Half-normal Plot for Zero-inflated Binomial Regression |
Zhao Yang,
Xuezheng Sun |
|
12 |
| SUGI |
2006 |
A System of SAS Macros for Producing Statistical Reports |
Greg A. Grandits |
source |
7 |
| SUGI |
2006 |
An Evaluation of Splines in Linear Regression |
Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy |
source |
11 |
| SUGI |
2006 |
Analysis of Large Hierarchical Data with Multilevel Logistic Modeling Using PROC GLIMMIX |
Jia Li,
Toni Alterman,
James A. Deddens |
source |
5 |
| SUGI |
2006 |
Analyzing Multivariate Longitudinal Data Using SAS |
Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller |
source |
9 |
| SUGI |
2006 |
Application of Experimental Design in Consumer Direct-Mail Solicitations |
Jonas V. Bilenas |
source |
9 |
| SUGI |
2006 |
Application of Proc Discrim and Proc Logistic in Credit Risk Modeling |
Jin Li |
source |
9 |
| SUGI |
2006 |
Assessing Within- and Between-Individual Effects Using Correlated Data from an HIV Clinical Trial |
Marla J. Husnik,
Grant Colfax,
Eugene Huang |
source |
10 |
| SUGI |
2006 |
Biosurveillance and Outbreak Detection Using the ARIMA and LOGISTIC Procedures |
Ernest S. Shtatland |
source |
8 |
| SUGI |
2006 |
Combining the Power of ODS, Data Set Concatenation, and DDE to Output Customized Statistical Results from SAS to Microsoft Excel |
Navneet K. Dhand,
Jenny-Ann Toribio |
source |
10 |
| SUGI |
2006 |
Comparison of Data Preparation Methods for Use in Model Development with SAS Enterprise Miner |
Charles Manahan |
source |
10 |
| SUGI |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez,
Tonya E. Balan |
source |
32 |
| SUGI |
2006 |
Efficient Construction of a "One-Row-per-Subject" Data Mart for Data Mining |
Gerhard Svolba |
source |
16 |
| SUGI |
2006 |
Exploring Alternative Predictive Modeling Techniques to Strengthen the Customer Relationship |
David Bordeleau |
source |
5 |
| SUGI |
2006 |
Fixed Effects Regression Methods in SAS |
Paul D. Allison |
source |
20 |
| SUGI |
2006 |
Fraud Detection - A Primer for SAS Programmers |
Thomas J. Winn Jr. |
source |
6 |
| SUGI |
2006 |
Introducing the GLMSELECT Procedure for Model Selection |
Robert A. Cohen |
source |
18 |
| SUGI |
2006 |
Introduction to SAS Enterprise Guide 4.1 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
22 |
| SUGI |
2006 |
Investigating Open Source Project Success - A Data Mining Approach to Model Formulation, Testing and Validation |
Uzma Raja,
Marietta J. Tretter |
source |
7 |
| SUGI |
2006 |
METAPERM2: A SAS Macro for Permutation Tests of Linear Models in Fixed and Random Effects Meta-Analyses |
Jeffrey D. Kromrey,
Kristine Y. Hogarty |
source |
10 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
10 |
| SUGI |
2006 |
Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 |
Jodi Blomberg,
Jacqueline K. Long |
source |
12 |
| SUGI |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
source |
18 |
| SUGI |
2006 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
source |
5 |
| SUGI |
2006 |
The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures |
Katherine L. Baisden,
Paul Hu |
source |
11 |
| SUGI |
2006 |
U.S. Health and Nutrition: SAS Survey Procedures and NHANES |
Jeffrey M. Gossett,
Chan-Hee Jo,
Pippa M. Simpson |
source |
9 |
| SUGI |
2006 |
Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands |
Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett |
source |
11 |
| SUGI |
2006 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
21 |
| SUGI |
2006 |
Using SAS to Investigate Effect Modification |
Peter H. Van Ness,
Heather G. Allore |
source |
10 |
| SUGI |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| SUGI |
2006 |
What's New in SAS Enterprise Miner 5.2 |
Wayne Thompson,
David R. Duling |
source |
10 |
| SUGI |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
source |
32 |
| PNWSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| PNWSUG |
2005 |
SAS Enterprise Guide for the MBA Student-No Longer a Hard Sell |
Melvin Ott |
|
4 |
| SESUG |
2005 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
27 |
| SESUG |
2005 |
SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria |
Dennis J. Beal,
Oak Ridge |
source |
6 |
| SESUG |
2005 |
The Missing Link: Data Analysis with Missing Information |
Venita DePuy |
source |
9 |
| SESUG |
2005 |
Using ODS to Perform Simulations on Statistics from SAS Procedures |
Andrew A. Kramer |
source |
4 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| PHUSE EU |
2005 |
Regulatory Compliant Validation and Deployment of SAS Programs with the Colibri Server |
Andreas Mangold |
source |
7 |
| PHUSE EU |
2005 |
The European System for Monitoring Drug Safety, EudraVigilance |
Hans-Georg Wagner,
Olivier Simoen |
source |
13 |
| MWSUG |
2005 |
Comparison Of Enterprise Miner And SAS/STAT For Data Mining |
Patricia B. Cerrito |
|
12 |
| MWSUG |
2005 |
Information Discovery Using Decision Trees |
Morgan C. Wang |
|
79 |
| MWSUG |
2005 |
Using SAS To Assess Dose Proportionality In Dose Escalation Studies |
Keith Dunnigan |
|
12 |
| WUSS |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
MaryAnne DePesquo Hope |
source |
7 |
| WUSS |
2005 |
A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods |
Archie J. Calise,
Joseph E. Earley |
source |
6 |
| WUSS |
2005 |
Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example |
Jesse Albert Canchola,
Regina Otero-Sabogal |
source |
9 |
| WUSS |
2005 |
Combining Segmentation and Targeting Modeling: A Winning Formula |
Aaron Lai,
Howell Kiung |
source |
3 |
| WUSS |
2005 |
Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG |
Tyler C. Smith,
Besa Smith |
source |
18 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| WUSS |
2005 |
Principal Component Analysis vs. Exploratory Factor Analysis |
Diana D. Suhr |
source |
10 |
| WUSS |
2005 |
Using Proc Mixed to Model Daytime Log-Cortisol Slopes |
Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang |
source |
4 |
| WUSS |
2005 |
What moves wholesale electricity prices in the Pacific Northwest? |
Aaron Lai,
Raymond Wan |
source |
4 |
| NESUG |
2005 |
Adopting New Techniques: Statistical Procedures to Determine the Agreement between two Laboratory Methods |
Ashley Peterson,
Larry W. Douglass |
|
13 |
| NESUG |
2005 |
Algorithm and Software for Yield Analysis |
Igor Mandel,
Victor Kamensky |
|
16 |
| NESUG |
2005 |
Introduction to Experimental Design using SAS |
Jonas V. Bilenas |
|
13 |
| NESUG |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
20 |
| NESUG |
2005 |
Logistic Regression: Ordinal and Nominal Outcomes |
Peter L. Flom |
|
9 |
| NESUG |
2005 |
Predictive Modeling Using Survival Analysis |
Vadim Pliner |
|
10 |
| NESUG |
2005 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
|
7 |
| NESUG |
2005 |
Transforming Variables for Normality and Linearity - When, How, Why and Why Not's |
Steven M. LaLonde |
|
8 |
| NESUG |
2005 |
Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns |
Ismail E. Mohamed,
Theresa R. DiVenti |
|
14 |
| PharmaSUG |
2005 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
|
27 |
| PharmaSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| PharmaSUG |
2005 |
Extending the SAS Environment with Trellis Graphics |
Chris Thornton |
|
7 |
| PharmaSUG |
2005 |
Noncompartmental Pharmacokinetics and Bioequivalence Analysis |
Arturo Soto Matos-Pita,
Bernardo de Miguel Lillo |
|
10 |
| PharmaSUG |
2005 |
Smoothing Techniques for Pharmacokinetic and Pharmacodynamic Profiles |
Naum M. Khutoryansky |
|
5 |
| PharmaSUG |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
|
10 |
| PharmaSUG |
2005 |
Using SAS to Automate The Process of Microarrays Data Normalization |
Lei Qin. Cancer |
|
7 |
| SUGI |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
Erin D. Shannon,
MaryAnne DePesquo Hope |
source |
7 |
| SUGI |
2005 |
A Proportional Hazards Approach to Campaign List Selection |
Charles Manahan |
source |
7 |
| SUGI |
2005 |
An Introduction to Quantile Regression and the QUANTREG Procedure |
Colin Chen |
source |
24 |
| SUGI |
2005 |
Automating Predictive Analysis to Predict Medicare Fraud |
Christine L. Warner |
source |
9 |
| SUGI |
2005 |
Combining Decision Trees with Regression in Predictive Modeling with SAS Enterprise Miner |
Kattamuri S. Sarma |
source |
10 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| SUGI |
2005 |
Introducing SAS Forecast Studio |
Michael J. Leonard,
Brenda Wolfe,
Paddy Fahey |
source |
16 |
| SUGI |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
20 |
| SUGI |
2005 |
Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria |
Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland |
source |
10 |
| SUGI |
2005 |
On GSForward-The Experimental Variable Selection Node in SAS Enterprise Miner 5.1 |
Leonardo Auslender |
source |
6 |
| SUGI |
2005 |
Power Simulation for Categorical Data Using the RANTBL Function |
Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness |
source |
12 |
| SUGI |
2005 |
Predicting Customer Value |
Will Potts |
source |
6 |
| SUGI |
2005 |
Principal Component Analysis versus Exploratory Factor Analysis |
Diana D. Suhr |
source |
11 |
| SUGI |
2005 |
Rounding after Multiple Imputation with Non-Binary Categorical Covariates |
Christopher F. Ake |
source |
11 |
| SUGI |
2005 |
Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants |
Eugene Brusilovskiy |
source |
9 |
| SUGI |
2005 |
Software Testing Fundamentals-Concepts, Roles, and Terminology |
John E. Bentley |
source |
12 |
| SUGI |
2005 |
Stationarity Issues in Time Series Models |
David A. Dickey |
source |
17 |
| SUGI |
2005 |
Statistical Analysis of Steel Formability |
Arkady M. Kushnir |
source |
12 |
| SUGI |
2005 |
Statistical Methods in Diagnostic Medicine Using SAS Software |
Jayawant N. Mandrekar,
Sumithra J. Mandrekar |
source |
8 |
| SUGI |
2005 |
Structured Neural Network Techniques for Modeling Loyalty and Profitability |
Carl Lee,
Tim Rey,
James W. Mentele,
Michael Garver |
source |
13 |
| SUGI |
2005 |
Teaching Data Mining in a University Environment |
David A. Dickey |
source |
11 |
| SUGI |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
source |
10 |
| SUGI |
2005 |
Using SAS to Estimate Proportional Odds Ratio Model for Meta-Analysis of Diagnostic Tests |
Mir S. Siadaty,
Jianfen Shu |
source |
10 |
| SUGI |
2005 |
Using the Proportional Odds Model for Health-Related Outcomes: Why, When, and How with Various SAS Procedures |
Marc Gameroff |
source |
8 |
| NESUG |
2004 |
A Regression Primer with a Touch of SAS |
Vincent Maffei |
|
14 |
| NESUG |
2004 |
An Animated Guide: Proc UCM |
Russell M. Lavery |
|
23 |
| NESUG |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Maura E. Stokes |
|
27 |
| NESUG |
2004 |
Building Logistic Regression Models to Analyze Survey Data with Complex Sampling Design |
Zhenyi Xue,
Euni Lee,
Monika Datary,
Anthony Wutoh |
|
4 |
| NESUG |
2004 |
Introduction to Using Enterprise Guide for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
19 |
| NESUG |
2004 |
ODS for the Statistician |
Steven M. LaLonde |
|
5 |
| NESUG |
2004 |
Programming Techniques for Data Mining with SAS |
Samuel Berestizhevsky,
Tanya Kolosova |
|
14 |
| NESUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
|
18 |
| NESUG |
2004 |
The Piecewise Regression Model as a Response Modeling Tool |
Eugene Brusilovskiy |
|
10 |
| NESUG |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
|
22 |
| SCSUG |
2004 |
Data Mining and the Use of SAS to Deploy Scoring Rules |
Neil S. Fleming |
|
13 |
| SCSUG |
2004 |
Fraud Detection - A Primer for SAS Programmers |
Thomas J. Winn Jr. |
|
9 |
| SCSUG |
2004 |
Just for the Kids School Reports: A data-oriented web site powered by SAS |
Bob Zambarano |
|
14 |
| SESUG |
2004 |
Binary Logistic Regression Model Optimization |
Jerry Musial |
source |
6 |
| SESUG |
2004 |
Case Studies in Time Series |
David A. Dickey |
source |
10 |
| SESUG |
2004 |
Case Studies in Time Series: Periodic Behavior and Related Issues |
Periodic Behavior,
Related Issues,
David A. Dickey |
source |
16 |
| SESUG |
2004 |
Software Testing Fundamentals-Concepts, Roles, and Terminology |
John E. Bentley |
source |
12 |
| SESUG |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
source |
22 |
| WUSS |
2004 |
Alternative Seasonality Detectors Using SAS /ETS Procedures |
Joseph E. Earley |
source |
6 |
| WUSS |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
27 |
| WUSS |
2004 |
Applying Statistical Analysis to Improve Formability of Steel |
Arkady M. Kushnir |
source |
12 |
| WUSS |
2004 |
Are Religious Universities Religious?: A Multiple Regression Analysis of Varying Factors at Loyola Marymount University using SAS/ETS Procedures |
Jonathan Bingham,
Joel Shackelford |
source |
11 |
| WUSS |
2004 |
Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables |
Eric P. Elkin |
source |
8 |
| WUSS |
2004 |
Estimating Crude Oil Price Variability Using SAS/ETS Procedures |
Brian Khalifa,
Sung Hoon Kim |
source |
3 |
| WUSS |
2004 |
Evaluating Student Statistics Performance Using SAS/STAT Procedures |
Seid M. Zekavat,
Kathryn Wilson |
source |
5 |
| WUSS |
2004 |
Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2004 |
PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function |
Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji |
source |
14 |
| WUSS |
2004 |
Survival Analysis Using SAS Macros, ODS and SAS/GRAPH |
Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky |
source |
9 |
| WUSS |
2004 |
The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures |
Katherine L. Baisden |
source |
20 |
| WUSS |
2004 |
Using Classification Tree Outcomes to Enhance Logistic Regression Models |
Tim Millard |
source |
4 |
| MWSUG |
2004 |
A System of SAS Macros for Producing Statistical Reports |
Greg A. Grandits,
Ken Svendsen |
|
8 |
| MWSUG |
2004 |
Analysis of Complex Sample Survey Data |
Patricia A. Berglund |
|
7 |
| MWSUG |
2004 |
Evaluating Continuous Variable Transformations in Logistic Regression |
Maggie (Yu) Zhang,
Shaolin Chen,
Suzanne C. Rain |
|
12 |
| MWSUG |
2004 |
Presenting the Binary Logit Model Effectively using SAS |
Hun Myoung Park |
|
11 |
| MWSUG |
2004 |
The Randomization Test Procedure: Testing for a Non-Zero Quadratic Effect |
Ling Huang,
Paul W. Johnson |
|
8 |
| MWSUG |
2004 |
Using SAS at SAS: The timing of SAS Tech Support |
Annette M. Sanders,
Craig DeVault |
|
22 |
| PNWSUG |
2004 |
Complex Sampling Meets the Blazing Turkey of Glory |
David L. Cassell |
|
8 |
| PharmaSUG |
2004 |
%Cox_PH - An enhancement of SAS PROC PHREG |
Hong (Lily) Zhang,
Robin Mogg |
|
8 |
| PharmaSUG |
2004 |
An Experiment with Experimental Proc RobustReg |
Shuang Lu |
|
5 |
| PharmaSUG |
2004 |
Extending ODS Output by Incorporating Trellis Graphics from S-PLUS |
Robert Treder,
Jagrata Minardi |
|
12 |
| PharmaSUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
|
18 |
| PharmaSUG |
2004 |
Statistical Application of SAS in Method Comparison Analysis |
David Shen |
|
13 |
| PharmaSUG |
2004 |
Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED |
Radhi Abdulnabi |
|
9 |
| PharmaSUG |
2004 |
Use Regression Algorithm Identifying Repeated Use Patients |
Haibin Shu,
Bala Cynwyd |
|
4 |
| PharmaSUG |
2004 |
Using PROC LOESS With Sparse Data |
Kenneth S. Liu,
Alison Kellock |
|
7 |
| SUGI |
2004 |
A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
source |
11 |
| SUGI |
2004 |
A SAS Program Computes the Crude, Stratified and Mantel-Haenszel Odds Ratio for Case-Control Study Analysis of Nx2xK Tables |
Ilene K. Brill,
Fabio Barbone |
source |
10 |
| SUGI |
2004 |
An Introduction to Matching and Its Application Using the SAS System |
Jayawant N. Mandrekar,
Sumithra J. Mandrekar |
source |
9 |
| SUGI |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
28 |
| SUGI |
2004 |
Assessing Model Fit and Finding a Fit Model |
Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson |
source |
17 |
| SUGI |
2004 |
Bayesian Model Averaging Using SAS Software |
Melissa Whitney,
Ngo Long |
source |
9 |
| SUGI |
2004 |
Case Studies in Time Series II: Periodic Behavior and Related Topics |
David A. Dickey |
source |
17 |
| SUGI |
2004 |
Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure |
Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin |
source |
7 |
| SUGI |
2004 |
How I Stopped Worrying and Learned to Love Pearsons p: Increasing Robustness in Correlation Analysis |
Eric M. Rosenberg |
source |
11 |
| SUGI |
2004 |
Introduction to Using SAS Enterprise Guide for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
20 |
| SUGI |
2004 |
Message Queue-Based Scoring Interface |
David R. Duling,
Robert Chu |
source |
6 |
| SUGI |
2004 |
Model-Based Multiple Imputation |
Geoffrey Paulin,
Shirley Tsai,
Melissa Grance |
source |
13 |
| SUGI |
2004 |
Performing a 1:N Case-Control Match on Propensity Score |
Lori S. Parsons |
source |
12 |
| SUGI |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
source |
19 |
| SUGI |
2004 |
Repeated Measures Modeling with PROC MIXED |
E. Barry Moser |
source |
20 |
| SUGI |
2004 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
source |
7 |
| SUGI |
2004 |
Solutions to the Investigation of Healthcare Outcomes in Relationship to Healthcare Practice |
Patricia B. Cerrito |
source |
18 |
| SUGI |
2004 |
Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events |
Gary G. Koch,
Maura E. Stokes |
source |
21 |
| SUGI |
2004 |
Threads Unraveled: A Parallel Processing Primer |
David Shamlin |
source |
10 |
| SUGI |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
source |
23 |
| WUSS |
2003 |
A SAS Macro Solution for Scoring Test Data with Output Features and Parameters from Logistic Regression Model Training |
Joseph Blue |
source |
5 |
| WUSS |
2003 |
Adaptive Regression in SAS/IML |
David Katz |
source |
5 |
| WUSS |
2003 |
Advanced Analytics with Enterprise Guide |
Catherine Truxillo,
Stephen McDaniel |
source |
9 |
| WUSS |
2003 |
Answering Your Questions with Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
Cox Regression Using Different Time-Scales |
Alison J. Canchola,
Susan L. Stewart,
Leslie Bernstein,
Dee W. West,
Ronald K. Ross,
Dennis Deapen,
Richard Pinder,
Peggy Reynolds,
William Wright,
Hoda Anton-Culver,
David Peel,
Al Ziogas |
source |
6 |
| WUSS |
2003 |
Extending the Use of PROC PHREG in Survival Analysis |
Christopher F. Ake,
Arthur L. Carpenter |
source |
6 |
| WUSS |
2003 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
6 |
| WUSS |
2003 |
Investigating the Dynamics of Occupational Prestige Preferences Using SAS Statistical Procedures Using the SAS? System |
Kacey Lock,
Joseph E. Earley |
source |
3 |
| WUSS |
2003 |
Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women |
Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak |
source |
6 |
| WUSS |
2003 |
Multiple Linear Regression Analysis of Percent of Students Taking the ACTs in Nevada High Schools |
Ramya R. Fernandez,
George C. J. Fernandez |
source |
6 |
| WUSS |
2003 |
Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios |
David J. Pasta,
Miriam G. Cisternas |
source |
4 |
| WUSS |
2003 |
Regression Diagnostic Plots |
George C. J. Fernandez |
source |
9 |
| WUSS |
2003 |
Using SAS for Classical Item Analysis and Option Analysis |
Chong Ho Yu,
Josephine Wai-chi Wong |
source |
6 |
| WUSS |
2003 |
Using SAS IN Educational Research |
Leping Liu |
source |
6 |
| SCSUG |
2003 |
Indicators of Inpatient Quality in Texas Hospitals |
Sylvia Cook |
|
9 |
| SESUG |
2003 |
A Hybrid Modeling Platform to meet Basel II Requirements in Banking |
Jeffery Morrision |
source |
8 |
| SESUG |
2003 |
Advantages of PROC SCORE |
Mark Tabladillo |
source |
2 |
| SESUG |
2003 |
Bulletproofing and Knowledge Encapsulation in Statistical Macros |
John K. Troxell |
source |
4 |
| SESUG |
2003 |
Management of CABG Patient Mortality Using SAS Logistic Regression by Cohorts: Age, Sex and Cleveland Clinic defined risk factors Five years of data and analysis compressed onto a 3 X 5 pocket guide |
Lucinda Jenkins,
Bing Li,
Mike Mueller,
Steve Hadzima |
source |
7 |
| SESUG |
2003 |
METAPERM: A SAS Macro for Permutation Tests of Linear Models in Meta-analysis |
Jeffrey D. Kromrey,
Kristine Y. Hogarty |
source |
6 |
| SESUG |
2003 |
Methods of Dealing with Values Below the Limit of Detection using SAS |
Carry W. Croghan,
Peter P. Egeghy |
source |
5 |
| SESUG |
2003 |
Statistical Analysis of Genotype X Environment Interaction in Agricultural Research |
K. Bondari |
source |
6 |
| SESUG |
2003 |
What is Missing in SAS? |
Imelda C. Go |
source |
5 |
| MWSUG |
2003 |
Using the SAS Statistical Tool from Thesis to Career: Current Experiences and Future Outlook |
Jean Chen |
|
3 |
| NESUG |
2003 |
Backwards Manual Selection (%bms): A Macro for Selecting Logistic Regression Models to Address Epidemiological Research Questions |
Janice Hegewald,
Anette Pfahlberg,
Wolfgang Uter |
|
5 |
| NESUG |
2003 |
Basic Usage of SAS/ETS' & SAS/STAT' to Forecast Time Series |
Douglas L. McAllaster |
|
10 |
| NESUG |
2003 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
|
14 |
| NESUG |
2003 |
Statistics & Regression - Easier than SAS |
Vincent Maffei,
Michael L. Davis |
|
6 |
| NESUG |
2003 |
Using Cluster Analysis for Retail Portfolio Segmentation in an Economic Capital Model: Homogeneity by Common Default Behavior Over Time |
Shannon Kelly |
|
12 |
| SEUGI |
2003 |
An Analytical CRM System to support Telecom Italia Marketing Actions [presentation] |
Maria Luisa Pensa |
source |
33 |
| SEUGI |
2003 |
How SAS is Used for Research and Teaching to Enable Students to Become More Marketable [presentation] |
Iveta Stankovicova |
source |
22 |
| SEUGI |
2003 |
New Directions in SAS Enterprise Miner for SAS 9.1 [presentation] |
David R. Duling,
Sascha Schubert |
source |
26 |
| SEUGI |
2003 |
SAS Value Chain Analytics - How can we make supply chain strategies more cost effective? [presentation] |
Tony Wood |
source |
27 |
| VIEWS |
2003 |
Customer churn - An operational comparison of logistic regression, decision tree & neural network models. |
Arun Parekkat |
|
4 |
| PharmaSUG |
2003 |
Benchmarking Forecasting Practices in the Pharmaceutical Industry |
Chaman L. Jain,
St. John's |
|
6 |
| PharmaSUG |
2003 |
Developing "EXSAS" an integrated system for statistical analysis of non-clinical experimental data using animals |
Chikuma Hamada |
|
6 |
| PharmaSUG |
2003 |
Performance Tuning of Java-based Application Development for Clinical Pharmacogenomics Associations |
Zongwei Shen,
Richard Judson,
Robert Tracy,
Theodore Kalbfleisch |
|
4 |
| PharmaSUG |
2003 |
Selecting Balanced Cohorts for Comparison in Observational Research |
Craig Roberts |
|
4 |
| PharmaSUG |
2003 |
Single Dose Bioassay - A SAS Approach |
John Sparkes,
Susan Motran |
|
4 |
| PharmaSUG |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
|
10 |
| SUGI |
2003 |
Application of the LOESS Procedure for Monitoring and Detecting Critical Movements in the US Automobile Market |
Keiko I. Powers,
J. Michael Jay,
Tie Gao |
source |
6 |
| SUGI |
2003 |
Case Studies in Time Series |
David A. Dickey |
source |
9 |
| SUGI |
2003 |
Complex Sampling Designs Meet the Flaming Turkey of Glory |
David L. Cassell,
AnnMaria Rousey |
source |
8 |
| SUGI |
2003 |
Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML |
David J. Pasta,
Miriam G. Cisternas |
source |
6 |
| SUGI |
2003 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2003 |
Introduction to JMP |
Thomas A. Little |
source |
3 |
| SUGI |
2003 |
Known Nonsense |
Carl Formoso |
source |
3 |
| SUGI |
2003 |
Let the Data Speak: New Regression Diagnostics Based on Cumulative Residuals |
Gordon Johnston,
Ying C. So |
source |
6 |
| SUGI |
2003 |
Logistic Regression Modeling - JMP StartTM Your Analysis with a Tree |
Pippa M. Simpson,
Renée A. Hall,
James G. Parker,
Jeffrey M. Gossett |
source |
5 |
| SUGI |
2003 |
Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry |
Junxiang Lu |
source |
6 |
| SUGI |
2003 |
Multilevel Designs and Their Analyses |
George A. Milliken |
source |
|
| SUGI |
2003 |
Multistage Cross-Sell Model of Employers in the Financial Industry |
Kwan Park,
Steve Donohue |
source |
5 |
| SUGI |
2003 |
SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data |
David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
10 |
| SUGI |
2003 |
Scaling SAS Data Access to Oracle RDBMS |
Howard Plemmons Jr.,
Andrew Holdsworth |
source |
6 |
| SUGI |
2003 |
Smoothing with SAS PROC MIXED |
Alexander Pedan |
source |
5 |
| SUGI |
2003 |
STEPWISE Methods in Using SAS PROC LOGISTIC and SAS Enterprise MinerTM for Prediction |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
source |
6 |
| SUGI |
2003 |
Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
8 |
| SUGI |
2003 |
Teaching Statistical Methods Courses with Case Studies and JMP |
Andy Mauromoustakos |
source |
6 |
| SUGI |
2003 |
The Use of Geographic Information Systems to Investigate Environmental Pollutants in Relationship to Medical Treatment |
Patricia B. Cerrito,
Robert Forbes,
George R. Barnes |
source |
6 |
| SUGI |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
source |
10 |
| MWSUG |
2002 |
A Macro to Assess the Key Drivers of Overall Product Acceptance using SAS System |
George J. Hurley,
David Hengehold |
|
7 |
| MWSUG |
2002 |
Easy Interface for SAS --A SAS Applciation on the Windows Platform |
Zhuan (John) Xu |
|
9 |
| SCSUG |
2002 |
SASMLF - Implementations of Nonparameteric Smoothing and Lack-of-Fit Tests Based on Smoothers |
George von Borries,
Jeffrey D. Hart |
|
7 |
| SCSUG |
2002 |
Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps |
Keith A. Jones |
|
8 |
| NESUG |
2002 |
An Animated Guide: Matching Test & Control Subjects |
Russell M. Lavery,
Glenn Abrahamsen |
|
21 |
| NESUG |
2002 |
Estimating Confidence Intervals Around Relative Changes in Outcomes in Segmented Regression Analyses of Time Series Data |
Fang Zhang,
Anita Wagner,
Stephen B. Soumerai,
Dennis Ross-Degnan |
|
7 |
| NESUG |
2002 |
One More Time About R2 Measures of Fit in Logistic Regression |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
|
6 |
| NESUG |
2002 |
Practice of SAS Logistic Regression on Binary Pharmacodynamic Data - Problems and Solutions |
Alan Xiao |
|
5 |
| NESUG |
2002 |
Using Trapezoidal Rule for the Area under a Curve Calculation |
Shi-Tao Yeh |
|
5 |
| SESUG |
2002 |
A SAS Program for the Computation of the Crude, Stratified and Mantel-Haenszel Odds Ratio in Case-Control Study Data Analysis of Nx2xK tables |
Odds Ratio |
source |
6 |
| SESUG |
2002 |
Analysis of Dosage-Response Data in Agricultural Research |
K. Bondari |
source |
6 |
| SESUG |
2002 |
Automated Summarization of Risk Assessment of Discrete and Continuous Exposures in Epidemiological Studies using SAS ODS |
Stuart D. Long |
source |
6 |
| SESUG |
2002 |
Basic Usage of SAS/ETS Software to Forecast a Time Series |
Douglas L. McAllaster |
source |
10 |
| SESUG |
2002 |
FDR_TEST: A SAS Macro for Calculating New Methods of Error Control in Multiple Hypothesis Testing |
Jeffrey D. Kromrey,
Kristine Y. Hogarty |
source |
6 |
| SESUG |
2002 |
Handling Missing Data with Multiple Imputation Using PROC MI in SAS |
Hossein N. Yarandi |
source |
5 |
| SESUG |
2002 |
Integrating SAS Analytics with Microsoft-based Desktop Applications |
Sam Yamamura |
source |
6 |
| SESUG |
2002 |
The Lag-o-Matic: An Improved Method for Selecting the Lag Structure of Multiple Predictor Variables in the Absence of Theory |
David C. Sharp,
Stephen M. Finnigan |
source |
5 |
| SESUG |
2002 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
10 |
| SESUG |
2002 |
Using PROC GREPLAY With ANNOTATE Data Sets for Effective Multi-Panel Graphics |
Walter T. Morgan |
source |
12 |
| WUSS |
2002 |
An Overview of Remedial Tools for the Violation of Parametric Test Assumptions in the SAS System |
Chong Ho Yu |
source |
6 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| WUSS |
2002 |
Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples |
Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye |
source |
6 |
| WUSS |
2002 |
Structural Equation Modeling: Easy Solutions Using SAS |
Shuqiang Zhang |
source |
5 |
| SEUGI |
2002 |
An Introduction to Intelligent Warehousing [presentation] |
Paul Padley |
source |
13 |
| SEUGI |
2002 |
Budgeting, data analysis and management on the data warehouse of ASL 3 in Turin, Italy [presentation] |
G. Gallone,
V. Liguori |
source |
18 |
| SEUGI |
2002 |
Buidling Credit Scorecards using SAS Enterprise Miner [presentation] |
John Lawrence,
Martin Crossley |
source |
11 |
| SEUGI |
2002 |
Improving Bank Profits with Next-Generation Data Mining Techniques [presentation] |
Rafael Alverez Cuesta |
source |
17 |
| SEUGI |
2002 |
Japanese Corporate Bankruptcy Prediction Model [presentation] |
Iwabuchi |
source |
22 |
| SEUGI |
2002 |
Know whom your cusomers listen to - Scoring for marketing channels reception propensity [presentation] |
Pawel Gasiorowski,
Wojciech Latusek |
source |
20 |
| SEUGI |
2002 |
New tools for a new context: Enterprise Miner in the French gas industry [presentation] |
Herve Augendre |
source |
17 |
| SEUGI |
2002 |
Payment Behavior Analysis and Prediction Project at a Telco Company [presentation] |
Osge Neslihan Cayci |
source |
21 |
| SEUGI |
2002 |
Predictin Customer Default Times using Survival Analysis Methods in SAS [presentation] |
Bart Baesens |
source |
16 |
| SEUGI |
2002 |
SAS Environment-Based Data Analysis [presentation] |
Marin |
source |
27 |
| SEUGI |
2002 |
Turin Olympic Winter Games 2006: a marketing survey of local government initiatives, conducted with SAS tools [presentation] |
Veronica Baldisserri,
Flavio Bonifacio |
source |
44 |
| PharmaSUG |
2002 |
Bulletproofing and Knowledge Encapsulation in Statistical Macros |
John K. Troxell |
|
4 |
| PharmaSUG |
2002 |
Imputation of Longitudinal Incomplete Data in Clinical Trials |
Naum M. Khutoryansky |
|
4 |
| PharmaSUG |
2002 |
Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions |
Lori S. Parsons |
|
6 |
| PharmaSUG |
2002 |
Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure |
Anthony B. An |
|
10 |
| PharmaSUG |
2002 |
SAS Solutions for Addressing 21 CFR Part 11 Compliance - the P21 Biomedical Knowledge Platform |
Edward D. Helton |
|
6 |
| PharmaSUG |
2002 |
Some Analysis Methods for Behavioral Toxicology Data |
Richard R. Allen |
|
8 |
| SUGI |
2002 |
A Proportional Odds/Hazards Approach to Analyzing Likert Scale Data |
Lynette K. Duncan,
James E. Dunn |
source |
5 |
| SUGI |
2002 |
Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding |
Patricia A. Berglund |
source |
5 |
| SUGI |
2002 |
Automating the Building of 2nd and 3rd Order Interactions and the Construction of Hierarchical Logistic Regression Models |
Mazen Abdellatif,
Robert G. Anderson,
Domenic J. Reda |
source |
4 |
| SUGI |
2002 |
Communicating the Results of Predictive Models to Non-technical Audiences |
Andrew H. Karp |
source |
4 |
| SUGI |
2002 |
Data Mining in Quality Improvement |
Bing Deng |
source |
4 |
| SUGI |
2002 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
How to Use SAS for Logistic Regression with Correlated Data |
Oliver Kuss |
source |
5 |
| SUGI |
2002 |
Identifying Plant Species: A Botanical Analysis Using PROC DISCRIM |
Robert G. Downer,
Philip E. Hyatt |
source |
4 |
| SUGI |
2002 |
Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions |
Lori S. Parsons |
source |
6 |
| SUGI |
2002 |
Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables |
Jerry Nickelsburg,
Paul D. McNelis |
source |
6 |
| SUGI |
2002 |
Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure |
Anthony B. An |
source |
9 |
| SUGI |
2002 |
Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS |
Junxiang Lu |
source |
6 |
| SUGI |
2002 |
Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application |
Charles M. Vaughan,
Serge Guzy |
source |
6 |
| SUGI |
2002 |
Robust Regression and Outlier Detection with the ROBUSTREG Procedure |
Colin Chen |
source |
13 |
| SUGI |
2002 |
SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers |
George F. von Borries,
Jeffrey D. Hart |
source |
5 |
| SUGI |
2002 |
SAS Tools for Meta-analysis |
Robert M. Hamer,
Pippa M. Simpson |
source |
6 |
| SUGI |
2002 |
SEM for Health, Business, and Education |
Diana D. Suhr |
source |
8 |
| SUGI |
2002 |
To Neural or Not to Neural? - This Is the Question |
Leon L. Fedenczuk |
source |
6 |
| SUGI |
2002 |
Tree-based Models: Identification of Influential Factors under Condition of Instability |
Pavel Brusilovskiy,
Yillian Yuan |
source |
6 |
| SUGI |
2002 |
Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models |
David Izrael,
Annabella Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
6 |
| SUGI |
2002 |
Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program |
James H. Forsythe |
source |
5 |
| MWSUG |
2001 |
Modeling Lifetime Value in the Insurance Industry |
C. Olivia Parr Rud |
|
9 |
| NESUG |
2001 |
Analyzing Complex Sample Survey Data: A New Beginning |
Linda Tompkins,
Arlene B. Siller |
|
3 |
| NESUG |
2001 |
Determination and Interpretation of the OOP for ROC's with PROC LOGISTIC |
Robert J. Gallop |
|
6 |
| NESUG |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
|
10 |
| NESUG |
2001 |
Introduction to Enterprise Miner. |
Destiny Corporation (a company) |
|
2 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| NESUG |
2001 |
Replicate-Based Variance Estimation in a SAS Macro |
Julia L. Bienias |
|
9 |
| NESUG |
2001 |
Untangling Correlated Predictors with Principle Components |
David R. Roberts |
|
5 |
| NESUG |
2001 |
Using Surveys to Understand the Present and Predict the Future |
Aliza Heching,
Ying Tat Leung |
|
6 |
| VIEWS |
2001 |
A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives |
Premachandra Wattage,
Simon Mardle,
Sean Pascoe |
|
14 |
| VIEWS |
2001 |
Data Mining and Statistical Models in Marketing Campaigns of BT Retail |
Francesco Vivarelli,
Martyn Johnson |
|
9 |
| VIEWS |
2001 |
Knowledge Discovery and Data Mining Applied to Engineering Applications [presentation] |
Shirley Williams |
|
22 |
| VIEWS |
2001 |
The Use of Enterprise Miner with Large Volumes of Data, for Forecasting in an Automated Batch Process [presentation] |
Matthew Glasson,
Justine Eastman |
|
17 |
| VIEWS |
2001 |
The Version 8 Applied Statistician |
David Shannon |
|
15 |
| WUSS |
2001 |
A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
8 |
| WUSS |
2001 |
Estimating and Interpreting Ordered Regression Models using PROC PRINT |
Kenneth Fernandez |
source |
5 |
| WUSS |
2001 |
Graphical Depiction of Bias when Using the Probability Plot Method for Cencored Data |
Randall Boan |
source |
4 |
| WUSS |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
5 |
| WUSS |
2001 |
Using SAS Functions for Power Analysis and Sample Size Estimation |
Mel Widawski |
source |
5 |
| WUSS |
2001 |
Using SAS to Assess Students' Learning in Instructional Technology Courses |
Leping Liu |
source |
6 |
| SESUG |
2001 |
Are Strings Tying You in Knots? |
Deb Cassidy |
source |
10 |
| SESUG |
2001 |
Evaluating the Use of Enterprise Guide in Introductory Statistics Classes |
Sandra B. Donaghy,
Joy Munk Smith |
source |
8 |
| SESUG |
2001 |
GETTING STARTED WITH PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SESUG |
2001 |
Heel Ultrasound As a Predictor of Appendicular Bone Mineral Density |
Rebecca G. Frederick,
Baton Rouge |
source |
5 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SESUG |
2001 |
Use of SAS/ETS and the BLS-Census Data Ferret for the Comprehensive Everglades Restoration Program |
Richard A. March |
source |
7 |
| SESUG |
2001 |
Using the SAS System to Demonstrate the equivalence of On-line and On-paper Survey Administration across Levels of Raters |
Jim Penny |
source |
5 |
| SESUG |
2001 |
Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey |
Multi-rater Survey |
source |
6 |
| SCSUG |
2001 |
Evaluating the Use of Enterprise Guide in Introductory Statistics Classes |
Sandra B. Donaghy,
Joy Munk Smith |
|
8 |
| SCSUG |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SCSUG |
2001 |
Heel Ultrasound As a Predictor of Appendicular Bone Mineral Density |
Rebecca G. Frederick,
E. Barry Moser,
Ellen R. Brooks |
|
5 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| SCSUG |
2001 |
Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure |
Hossein N. Yarandi,
Shawn J. Kniepp |
|
5 |
| SCSUG |
2001 |
Use of SAS/ETS and the BLS-Census Data Ferret for Comprehensive Everglades Restoration Program |
Richard A. March |
|
7 |
| SCSUG |
2001 |
Using the SAS System to Demonstrate the Equivalence of On-line and On-Papeer Survey Adminstration across Levels of Raters |
Jim Penny |
|
5 |
| SCSUG |
2001 |
Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey |
Jim Penny |
|
6 |
| SEUGI |
2001 |
A New Decision-Making Support Analysis for the Auditing Area at Banca Monte Dei Paschi Di Siena [presentation] |
Francesco Marzocchi,
Renato Coppi,
Roberto Tognazzi |
source |
28 |
| SEUGI |
2001 |
A retrospective evaluation of a data mining approach to fetal asphyxia at delivery in a hospital database [presentation] |
Olavi Kauhanen,
Seppo Heinonen |
source |
53 |
| SEUGI |
2001 |
Improving Datamining Results Through Data Selection and Preparation [presentation] |
Hein Lochner,
Nigel Wigram |
source |
49 |
| SEUGI |
2001 |
Knowledge Solution for Credit Scoring [presentation] |
Henrik Wagner |
source |
26 |
| SEUGI |
2001 |
Minng-Driven Marketing - Penetrating Telco-Markets Successfully [presentation] |
Gunter Witsch,
Markus Ehl |
source |
19 |
| SEUGI |
2001 |
Teaching statistics and the SAS System |
Barbara G. Schneider |
source |
10 |
| SEUGI |
2001 |
The Use of Enterprise Miner with Large Volumes of Data, for Forecasting in an Automated Batch Process [presentation] |
Justine Eastman |
source |
12 |
| SEUGI |
2001 |
Use of SAS V8 and SAS Enterprise Guide in the Federal Statistical Office of Germany [presentation] |
Ernst Schrey |
source |
18 |
| SEUGI |
2001 |
WELFARE - Wells, Field Analysis, Reservoir Evaluation [presentation] |
C. Mouret,
J. F. Coste,
J. P. Valois |
source |
50 |
| PharmaSUG |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
|
8 |
| PharmaSUG |
2001 |
Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials |
Naum M. Khutoryansky,
Won-Chin Huang |
|
4 |
| PharmaSUG |
2001 |
Nonlinear Least Squares Analysis of HIV Viral Load Data - Aids in Parameter Estimation |
Peter P. Gaccione |
|
8 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| PharmaSUG |
2001 |
Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques |
Lori S. Parsons |
|
6 |
| PharmaSUG |
2001 |
Testing the Trend of a Response Curve to an Increasing Sequence of Doses: A SAS Macro to Automate the Analysis |
Donghui Zhang |
|
4 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden,
Fidelity Investments |
|
6 |
| SUGI |
2001 |
A Non-mathematical Introduction to Regression Concepts Using PROC REG |
Mel Widawski |
source |
7 |
| SUGI |
2001 |
A Practical Introduction to the Power of Enterprise Miner |
Michael S. Lajiness |
source |
7 |
| SUGI |
2001 |
A Reader's Guide toVisualizing Categorical Data |
Michael Friendly |
source |
8 |
| SUGI |
2001 |
A SAS/IML Macro for Goodness-of-Fit Testing in Logistic Regression Models With Sparse Data |
Oliver Kuss |
source |
5 |
| SUGI |
2001 |
Analysis of Count Data Using SAS |
Alexander Pedan |
source |
6 |
| SUGI |
2001 |
Efficient Statistical Programming? - Let SAS Do the Work |
Keiko I. Powers |
source |
4 |
| SUGI |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
source |
8 |
| SUGI |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2001 |
How the SAS System Can Be Used for Teaching Statistics |
Barbara G. Schneider |
source |
4 |
| SUGI |
2001 |
Model Fitting in PROC GENMOD |
Jean G. Orelien |
source |
6 |
| SUGI |
2001 |
Modeling Lifetime Value in the Insurance Industry |
C. Olivia Parr Rud |
source |
8 |
| SUGI |
2001 |
Multivariate Methods for Process Knowledge Discovery:The Power to Know Your Process |
Bob Rodriguez |
source |
12 |
| SUGI |
2001 |
Partitioned Mahalanobis D^2 to Improve GIS Classification |
Lynette K. Duncan,
James E. Dunn |
source |
6 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
Predictive Modeling in the Insurance Industry Using SAS |
Terry J. Woodfield |
source |
5 |
| SUGI |
2001 |
Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
source |
10 |
| SUGI |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
3 |
| SUGI |
2001 |
Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques |
Lori S. Parsons |
source |
6 |
| SUGI |
2001 |
Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS |
Tyler C. Smith,
Besa Smith |
source |
9 |
| SUGI |
2001 |
The Perils of Stepwise Logistic Regression and How to Escape Them Using Information Criteria and the Output Delivery System |
Ernest S. Shtatland,
Mary B. Barton,
Emily M. Cain |
source |
6 |
| SUGI |
2001 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
10 |
| SUGI |
2001 |
Using SAS Enterprise Miner for Forecasting |
Kattamuri S. Sarma |
source |
6 |
| SCSUG |
2000 |
Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure |
Sam Field |
|
15 |
| SCSUG |
2000 |
Motorola's Engineering Data Analysis System: 10 Years of Analytical Excellence |
C. Michael Whitney,
Leslie Fowler |
|
7 |
| SCSUG |
2000 |
The Use of PROC MIXED for Analyzing Cohort-Sequential Designs |
C. Nathan Marti |
|
11 |
| SESUG |
2000 |
Computing the Approximate and Exact Leaving-One-Out Method in Multiple Group Logistic Discrimination with the SAS System |
Mohamed H. Hussein |
source |
6 |
| SESUG |
2000 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
7 |
| SESUG |
2000 |
Performing Exact Logistic Regression with the SAS R /AD System |
Robert E. Derr |
source |
10 |
| SESUG |
2000 |
Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities |
Mortgage Lending |
source |
10 |
| NESUG |
2000 |
Ad hoc Validation of Multivariate Regression Using PROC FACTOR with BY Groups |
Susan B. Garavaglia,
Asha Sharma,
Stephen Thompson |
|
10 |
| NESUG |
2000 |
Applying Survival Analysis Techniques to Loan Terminations for HUD's Reverse Mortgage Insurance Program - HECM |
Ming H. Chow |
|
8 |
| NESUG |
2000 |
Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes |
Li wan Chen |
|
7 |
| NESUG |
2000 |
Generating Simple and Complex Random Samples Using the RANUNI Function |
Rebecca Goldblatt |
|
3 |
| NESUG |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
2000 |
How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD |
Ernest S. Shtatland |
|
9 |
| NESUG |
2000 |
Methods for the Analysis of Clustered Ordinal Response Data |
Robert J. Gallop,
J. Richard Landis,
Thomas R. Ten Have |
|
7 |
| NESUG |
2000 |
NPV Modeling for Direct Mail Insurance |
C. Olivia Parr Rud |
|
7 |
| NESUG |
2000 |
Ordinal Outcomes with the Continuation Ratio Model |
Melissa J. McGowan |
|
4 |
| WUSS |
2000 |
A Model of Integrating Technology into Classrooms: A Logistic Regression Analysis |
Leping Liu |
source |
6 |
| WUSS |
2000 |
A Non-mathematical Introduction to Regression Using PROC REG |
Mel Widawski |
source |
6 |
| WUSS |
2000 |
A SAS Analysis of Social and Economic Well-Being: A MultCountry Cross-Section Longevity Study |
Seid M. Zekavat |
source |
5 |
| WUSS |
2000 |
An Overview of remedial tools for collinearity in SAS |
Chong Ho Yu |
source |
6 |
| WUSS |
2000 |
Analyzing Correlated oridinal reponse data using partial likelihood regression |
Jimmy Thomas Efrid |
source |
3 |
| WUSS |
2000 |
Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD |
Besa Smith |
source |
5 |
| WUSS |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| WUSS |
2000 |
Detecting Curvillnear Relationships in PROC REG |
Mel Widawski |
source |
9 |
| WUSS |
2000 |
Gaining Insight Using Visualization Techniques |
Curtis A. Smith,
Philip A. Cosby |
source |
5 |
| WUSS |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
2000 |
Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG |
Tyler C. Smith |
source |
7 |
| WUSS |
2000 |
How I Converted a Batch Application System to Client-Server and Lived to Tell About It |
Curtis A. Smith |
source |
8 |
| WUSS |
2000 |
Monkey Games: Analysis of Some Behavioral Toxicology Data |
Richard R. Allen |
source |
7 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| WUSS |
2000 |
SAS STAT applications in Econometrics |
Mathura Thillainathan,
George C. J. Fernandez |
source |
10 |
| WUSS |
2000 |
Using PROC FACTOR to Conduct an Exploratory Factor Analysis of Self Reported Symptom Data |
Tyler C. Smith |
source |
6 |
| WUSS |
2000 |
Using SAS to Estimate Parameters for the World Securities Markets and Related Foreign Currencies Market |
Kamal Shoukry |
source |
5 |
| MWSUG |
2000 |
The Development of the Ohio State Highway Patrol's Cadet Allocation Model |
Gary M. Macklis |
|
3 |
| SEUGI |
2000 |
Analysing the footprints of your customer - A case study by ask|net and SAS [presentation] |
Klaus-Peter Huber |
source |
40 |
| SEUGI |
2000 |
Credit Risk Measurement for a Bank Loans Portfolio |
Emiliano Laruccia,
Valter Lazzari |
source |
11 |
| SEUGI |
2000 |
Data Mining in a Pharmaceutical Environment [presentation] |
Franky De Cooman |
source |
24 |
| SEUGI |
2000 |
Enterprise Mineer vs Underlying SAS Code: A Performance Comparison [presentation] |
Usama Hasan |
source |
11 |
| SEUGI |
2000 |
HR Vision for R/3 & HR knowledge solution [presentation] |
Dave Prinsloo |
source |
44 |
| SEUGI |
2000 |
Managing IS costs through application performance management [presentation] |
Nicolas Lesage |
source |
18 |
| SEUGI |
2000 |
SAS Software for the Analysis of Epidemiologic Data [presentation] |
Hans-Peter Altenburg |
source |
39 |
| SEUGI |
2000 |
Targeted Drug Discovery through Data Mining [presentation] |
John C. Brocklebank,
Wayne Thompson |
source |
28 |
| SEUGI |
2000 |
The Art of Building Predictive Scorecards [presentation] |
Duncan Hale |
source |
15 |
| SEUGI |
2000 |
The Customer Life-Time-Value in the Insurance-Industry [presentation] |
Gunter Schmolz |
source |
16 |
| SEUGI |
2000 |
The Disease Registry Application [presentation] |
Deborah Allon,
Paul Nicholson |
source |
3 |
| SEUGI |
2000 |
Two sides to the modelling problem [presentation] |
Philip Whittall |
source |
14 |
| PharmaSUG |
2000 |
An Alternative to the Odds Ratio: A Method for Comparing Adjusted Treatment Group Effects on a Dichotomous Outcome |
P. Chris Holland |
|
5 |
| PharmaSUG |
2000 |
Visualize Your Regression Analysis |
Fan Xu |
|
7 |
| SUGI |
2000 |
Analyzing Complex Sample Survey Data: A New Beginning |
Linda Tompkins,
Arlene B. Siller |
source |
3 |
| SUGI |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| SUGI |
2000 |
Detecting Curvilinear Relationships in PROC REG |
Mel Widawski |
source |
9 |
| SUGI |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| SUGI |
2000 |
Motorola's Engineering Data Analysis System: 10 Years of Analytical Excellence |
C. Michael Whitney,
Leslie Fowler |
source |
7 |
| SUGI |
2000 |
Multiple Imputation for Missing Data: Concepts and New Development |
Yang Yuan |
source |
10 |
| SUGI |
2000 |
Performing Exact Logistic Regression with the SAS System |
Bob Derr |
source |
10 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SUGI |
2000 |
Product Development and Applied Research: A Formal Approach Using SAS and JMP Software |
John A. Wass |
source |
5 |
| SUGI |
2000 |
Qualitative and Limited Dependent Variable Models using the New QLIM Procedure |
Minbo Kim |
source |
7 |
| SUGI |
2000 |
SAS Programs to Get the Most from X-12-ARIMA's Modeling and Seasonal Adjustment Diagnostics |
Catherine C. Hood |
source |
6 |
| SUGI |
2000 |
Using Enterprise Miner to Explore and Exploit Drug Discovery Data |
Michael S. Lajiness |
source |
8 |
| SUGI |
2000 |
Using Propensity Scores to Adjust for Group Differences: Examples Comparing Alternative Surgical Methods |
David J. Pasta |
source |
7 |
| SUGI |
2000 |
Using SAS Software to Perform a Case-Control Match on Propensity Score in an Observational Study |
Lori S. Parsons |
source |
6 |
| SUGI |
2000 |
Visualizing Categorical Data: Data, Stories, and Pictures |
Michael Friendly |
source |
9 |
| SUGI |
2000 |
Why We Need an R-Square Measure of Fit (and Not Only One) In PROC LOGISTIC and PROC GENMOD |
Ernest S. Shtatland,
Sara L. Moore,
Mary B. Barton |
source |
6 |
| SCSUG |
1999 |
Capacity and Policy Planning Using a Simulation Model |
George Tompkins |
|
4 |
| SESUG |
1999 |
A SAS Program for the Computation of Cumulative Exposure Estimates for Analysis of Cause-specific Mortality Rates in a Cohort of Synthetic Rubber Workers |
Ilene K. Brill,
Maurizio Macaluso,
Robert S. Matthews,
Elizabeth Delzell |
source |
5 |
| SESUG |
1999 |
An Interactive GUI Front-End for a Credit Scoring Modeling System |
Jeffrey Morrison,
Futian Shi,
Timothy Lee |
source |
6 |
| SESUG |
1999 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
7 |
| SESUG |
1999 |
Forecasting Army Officer Attrition with Logistic Regression Using The SAS System |
Douglas L. McAllaster |
source |
10 |
| SESUG |
1999 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
5 |
| WUSS |
1999 |
A Logistic Regression on the Qualities of Educational Research: Characteristics of Publishable Articles |
Leping Liu,
George C. J. Fernandez |
source |
5 |
| WUSS |
1999 |
A SAS Analysis of Some Major Economic Effects of the Asian Crisis on the World Advanced and Developing Economies |
Kamal Shoukry |
source |
4 |
| WUSS |
1999 |
Application of Threshold Models to the Detection of IgG and IgM Antibodies |
Louis Munyakazi |
source |
4 |
| WUSS |
1999 |
Combining SAS Data Sets in Educational Research |
Leping Liu,
George C. J. Fernandez |
source |
6 |
| WUSS |
1999 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
6 |
| WUSS |
1999 |
Evaluating Student Performance in Statistics Using SAS/ETS Procedures |
Seid M. Zekavat,
Marianna Fratkina |
source |
4 |
| WUSS |
1999 |
Modeling Individual Utility Functions Using SAS PROC LOGISTIC: A Case Study Using the NES Data Set |
Godofredo Gatus |
source |
4 |
| WUSS |
1999 |
Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD |
Besa Nushi |
source |
5 |
| WUSS |
1999 |
Quantifying Regression to the Mean Using PROC MIXED |
Thaddeus J. Haight,
Long Ngo,
Ira Tager |
source |
6 |
| NESUG |
1999 |
Applying Familiar Non-Parametric Tests to Evaluation of Neural Network Inputs |
Susan B. Garavaglia |
|
10 |
| NESUG |
1999 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
|
7 |
| NESUG |
1999 |
Exploratory Data Analysis: Getting to Know Your Data |
Michael A. Walega |
|
8 |
| NESUG |
1999 |
Input Selection, Performance Evaluation, and Credit Risk Analysis |
Shirley Tsai,
David Hamilton |
|
10 |
| NESUG |
1999 |
Modeling Customer Choice |
David R. Roberts |
|
6 |
| NESUG |
1999 |
The missing link: PROC GENMOD |
Margaret Ann Goetz |
|
3 |
| MWSUG |
1999 |
A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System |
Jayawant N. Mandrekar,
Daniel J. Sargent,
Paul J. Novotny,
Jeff A. Sloan |
|
6 |
| MWSUG |
1999 |
Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform |
John (Zhaun) Xu |
|
9 |
| MWSUG |
1999 |
Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models |
Nancy E. Briggs,
Ching-Fan Sheu |
|
6 |
| MWSUG |
1999 |
REG, GLM, ANOVA: Which One? Why? How? |
Linda M. Quinn |
|
6 |
| MWSUG |
1999 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| MWSUG |
1999 |
Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research |
Sawako Suzuki,
Ching-Fan Sheu |
|
8 |
| MWSUG |
1999 |
Validation of SAS Macro Systems |
Philip M. Pochon,
Thomas H. Burger |
|
5 |
| SEUGI |
1999 |
A user friendly interface for simultaneuos non-linear regression on sets of metallurgical deformation curves [presentation] |
Ronald Mulder |
source |
20 |
| SEUGI |
1999 |
Comparison of various statistical techniques to support market retention and acquisition programs [presentation] |
Ian Thornhill |
source |
66 |
| SEUGI |
1999 |
Data mining methodoligies for business: cross selling [presentation] |
Henrik Wagner |
source |
37 |
| SEUGI |
1999 |
Insurance application: marketing database, forecasting model and cluster design at Reale Mutura Assicurazioni |
Flavio Bonifacio |
source |
16 |
| SEUGI |
1999 |
KPMG's rating predictor models [presentation] |
Christophe de Noaillat |
source |
14 |
| SEUGI |
1999 |
Outlier detection at EUROSTAT [presentation] |
Pacal Loosveldt |
source |
31 |
| SEUGI |
1999 |
S.O.C.R.A.T.E.S. Simultaneous Optimal Control by Recursive and Adaptive Estimation Systsem |
Giacomo Patrizi |
source |
12 |
| SEUGI |
1999 |
Strategic Use of Customer Lifetime Value [presentation] |
Tony Woods |
source |
25 |
| SEUGI |
1999 |
Technical analysis and portfolio selection methods |
Giuseppe Marcon |
source |
18 |
| SUGI |
1999 |
A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System |
Daniel J. Sargent,
Jayawant N. Mandrekar,
Paul J. Novotny,
Jeff A. Sloan |
source |
|
| SUGI |
1999 |
A SAS Macro to Analyze Data from a Matched or Finely Stratified Case-Control Design |
Robert A. Vierkant,
Terry M. Therneau,
Jon L. Kosanke,
James M. Naessens |
source |
6 |
| SUGI |
1999 |
A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect |
David Olaleye |
source |
6 |
| SUGI |
1999 |
An Interactive GUI Front-End for a Credit Scoring Modeling System |
Jeffrey Morrison,
Futian Shi,
Timothy Lee |
source |
|
| SUGI |
1999 |
An Introduction to SAS/ASSIST Software |
Linda P. Atkinson |
source |
6 |
| SUGI |
1999 |
An Investigation of Quality-of-Life Issues in Patient Treatment Using Enterprise Miner |
Patricia B. Cerrito,
Kelly McMasters,
Vicki Viar |
source |
6 |
| SUGI |
1999 |
Autoregressive Integrated Moving Average Models for Comparing Forecasted to Actual Values of CPU Workloads for Open Systems |
Anthony C. Waclawski |
source |
10 |
| SUGI |
1999 |
Cross Crossover Studies Off Your List |
Pippa M. Simpson,
Robert M. Hamer,
Shelly Y. Lensing |
source |
7 |
| SUGI |
1999 |
Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1999 |
Designing Accessible Help Systems |
Cathy L. Brinsfield |
source |
5 |
| SUGI |
1999 |
Easy Interface for SAS - A SAS Application on the Windows Platform |
Zhuan (John) Xu |
source |
9 |
| SUGI |
1999 |
Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED |
Robert G. Downer,
Mark C. Benfield |
source |
5 |
| SUGI |
1999 |
From Prediction to Validation: Who Understands the Past, Controls the Future (Time Series) |
Edward Aronov |
source |
4 |
| SUGI |
1999 |
How I Converted a Batch Application System to Client-Server and Lived to Tell About It |
Curtis A. Smith |
source |
5 |
| SUGI |
1999 |
Modeling Event Count Data with PROC GENMOD and the SAS System |
Matthew J. Flynn |
source |
6 |
| SUGI |
1999 |
Poisson Regression Adjustment of Event Rates and Its Macro Procedure ADJ_POIS |
Dingyi Zhao |
source |
6 |
| SUGI |
1999 |
SAS webAF for Java Application Development, a First Sip |
Larry Hoyle,
Mickey Waxman |
source |
|
| SUGI |
1999 |
Simplification on Learning Model by Using PROC GENMOD |
Kuolung Hu,
David Mckinzie,
Karen Nowak |
source |
6 |
| SUGI |
1999 |
Simulation and Estimation of Fractionally Integrated Time Series |
Jeffrey S. Butler |
source |
6 |
| SUGI |
1999 |
Statistical Graphics |
David A. Dickey |
source |
8 |
| SUGI |
1999 |
Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression |
James E. Dunn,
Lynette K. Duncan |
source |
6 |
| SUGI |
1999 |
Study Design with SAS: Estimating Power with Monte Carlo Methods |
Robert W. Graebner |
source |
3 |
| SUGI |
1999 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
5 |
| SUGI |
1999 |
Use of Enterprise Miner and Multivariate Statistical Analysis to Build Fraud-Detection Models |
Shiao-Ping Lu |
source |
5 |
| SUGI |
1999 |
Using Decision Support Services to Fight Crime |
Nina Du Thaler,
Alexander Stefan |
source |
14 |
| SUGI |
1999 |
Using SAS to Conduct Pilot Studies: An Instructors Guide |
Sean W. Mulvenon,
Ronna C. Turner |
source |
6 |
| SUGI |
1999 |
Using SAS/INSIGHT Software as an Exploratory Data Mining Platform |
Robin Way |
source |
6 |
| MWSUG |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
|
11 |
| MWSUG |
1998 |
An Introduction to Binary Logistic Regression |
Linda M. Quinn |
|
8 |
| MWSUG |
1998 |
If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC |
Chao-Ying Joanne Peng,
Tak-Shing Harry So |
|
10 |
| MWSUG |
1998 |
Producing ROC Curves For Discriminant Analysis Using PROC LOGISTIC |
Keith Dunnigan |
|
7 |
| WUSS |
1998 |
A Non-Linear Calibration Problem in an Enzyme Linked Immunosorbent Assay |
Louis Munyakazi |
source |
4 |
| WUSS |
1998 |
Controlling for Group Differences and Counting Rare Events: Propensity Scores with PROC CATMOD and Poisson Regression with PROC GENMOD |
Stefanie J. Silva,
Lori Potter |
source |
5 |
| WUSS |
1998 |
Data Warehouses and Bayesian Analysis - A Match Made by SAS |
Ram Gopalan |
source |
6 |
| WUSS |
1998 |
Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML |
David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson |
source |
6 |
| WUSS |
1998 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
1998 |
How I Converted a Batch Application System to Client-Server and Lived to Write About It |
Curtis A. Smith |
source |
5 |
| WUSS |
1998 |
Influence of 1997-8 Asian Crisis on Enrollment at a Private Los Angeles, CA University |
John L. Rooney |
source |
3 |
| WUSS |
1998 |
Multiple Regression and Model Selection on Developing a Computer Achievement Model |
Leping Liu,
George C. J. Fernandez |
source |
6 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| WUSS |
1998 |
The Capabilities of PROC FACTOR to Conduct an Exploratory Factor Analysis |
Tyler C. Smith |
source |
6 |
| WUSS |
1998 |
Use of Data Enterprise Miner & Multivariate Statistical Analysis to Build Fraud-Detection Models |
Shiao-Ping Lu |
source |
7 |
| NESUG |
1998 |
A Simulation Study of Estimators In Stratified Proportional Hazard Models |
Hsi-Wen Liao |
|
8 |
| NESUG |
1998 |
A Smart Guide to Dummy Variables: Four Applications and a Macro |
Susan B. Garavaglia |
|
10 |
| NESUG |
1998 |
Calculating Marginal Probabilities in PROC PROBIT |
Guy Pascale |
|
5 |
| NESUG |
1998 |
Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
|
8 |
| NESUG |
1998 |
Developing a Parameter Evaluation Methodology Using SAS |
Richard W. Graham |
|
5 |
| NESUG |
1998 |
Information Theory Makes Logistic Regression Special |
Ernest S. Shtatland |
|
4 |
| NESUG |
1998 |
Knowledge Discovery: The Seven New Multivariate Identification Model Tools |
Nicholas Skovran |
|
5 |
| NESUG |
1998 |
Multivariate Discrimination of Categorical Data Using the SAS System |
Jeffrey S. Butler |
|
8 |
| NESUG |
1998 |
Risk Evaluation after Heart Valve Replacement by PROC PHREG |
Choa Chen |
|
7 |
| NESUG |
1998 |
Strategies For Linking Medicaid Eligibility Files To Vital Statistics Birth Files To Assess The Efficacy Of Medicaid Managed Care |
Patrick J. Roohan |
|
6 |
| NESUG |
1998 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SESUG |
1998 |
Applications Development |
Eric C. Brinsfield |
|
4 |
| SESUG |
1998 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
|
7 |
| SESUG |
1998 |
Designing Accessible Help Systems |
Cathy L. Brinsfield |
|
5 |
| SESUG |
1998 |
Developing a Parameter Evaluation Methodology Using SAS |
Richard W. Graham |
|
5 |
| SESUG |
1998 |
Regression with Time Series Errors |
David A. Dickey |
|
9 |
| SESUG |
1998 |
Software for GEE: PROC GENMOD and SUDAAN |
Babubhai V. Shah |
|
5 |
| SESUG |
1998 |
The Replication Method for Estimating Sampling Errors, Principles, and Software |
David Morganstein,
J. Michael Brick |
|
5 |
| PNWSUG |
1998 |
Decision Tree Classification in Direct Marketing |
Robert Mengis |
|
9 |
| PNWSUG |
1998 |
Measuring Advertising Impacts on Conservation Behavior: A Business Application of the Theory of Planned Behavior |
Ken Seiden,
Jane S. Peters,
Doug O'Brien |
|
8 |
| PNWSUG |
1998 |
Parameter Evaluation and Statistical Validation of Transport Parameters in Porous Media |
Mahesh A. Rege,
David R. Mills,
James N. Peterson,
Yunwei Sun,
David R. Yonge,
Donald L. Johnstone,
William A. Apel |
|
9 |
| PNWSUG |
1998 |
Stepwise Anything: Reading in Regression Procedure Output for Further Testing |
Ted Clay,
Linda Remy |
|
10 |
| PNWSUG |
1998 |
Teaching SAS in Business School - A Case Study |
Teresa Ling,
Mary Rivers |
|
3 |
| SEUGI |
1998 |
Survival analysis models in health care and their use for predictions of mortality |
Jifi Vondracek,
Keith Binks,
Krystof Eben |
source |
6 |
| PharmaSUG |
1998 |
Some Aspects of Statistical Modeling to Develop a System for Pharmaceutical Industry Indicators Forecasting |
Alexander Visnevsky,
Covance Periappoval |
|
6 |
| PharmaSUG |
1998 |
Using SAS Arrays to Estimate Regression Parameters |
Tesfaye Liranso,
Hoechst Marion Roussel |
|
5 |
| PharmaSUG |
1998 |
Validation of SAS Macro Systems |
Philip M. Pochon |
|
5 |
| SUGI |
1998 |
A Method to Generate Kaplan-Meier and Adjusted Survival Curves Using SAS |
Bharat K. Thakkar,
Kwan Hur,
William G. Henderson,
Charles A. Oprian |
source |
3 |
| SUGI |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
10 |
| SUGI |
1998 |
An Information-Gain Measure of Fit in PROC LOGISTIC |
Ernest S. Shtatland,
Mary B. Barton |
source |
6 |
| SUGI |
1998 |
An Introduction to SAS/ASSIST Software |
Linda P. Atkinson |
source |
6 |
| SUGI |
1998 |
Analysis of the National Endowment of the Arts Using SAS/STAT Software |
James D. Ryan |
source |
6 |
| SUGI |
1998 |
Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST |
Chikuma Hamada,
Junji Kishimoto |
source |
6 |
| SUGI |
1998 |
Bootstrapping the Standard Error of the Mediated Effect |
Chondra M. Lockwood,
David P. MacKinnon |
source |
6 |
| SUGI |
1998 |
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents |
John C. Brocklebank,
Mark Brown |
source |
24 |
| SUGI |
1998 |
Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals |
Mark Nicolich,
Gail Jorgensen |
source |
5 |
| SUGI |
1998 |
How Not to Hate Annotate |
Susan J. Kenny |
source |
7 |
| SUGI |
1998 |
How to Use SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves |
Richard Severino |
source |
6 |
| SUGI |
1998 |
Improving the Rainbow Test: A Macro to Measure the Lack of Fit in Multiple Regression with the Use of the Bootstrap |
Paul W. Johnson |
source |
4 |
| SUGI |
1998 |
Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants |
Sudhanshu K. Ghoshal |
source |
6 |
| SUGI |
1998 |
Multivariate Analysis Using the MIXED Procedure |
S. Paul Wright |
source |
5 |
| SUGI |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| SUGI |
1998 |
Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief Tutorial Using SAS Software |
Peter P. Gaccione,
M.S. Blanchard |
source |
6 |
| SUGI |
1998 |
Overall Part Number Item |
Rank Rank |
source |
19 |
| SUGI |
1998 |
Reporting Results of Multiple Logistic Regression Models Depending on the A vailability of Data |
Richard M. Mitchell |
source |
5 |
| SUGI |
1998 |
Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization |
Honghu Liu |
source |
6 |
| SUGI |
1998 |
SAS Software and Java for Interactive Graphics |
Andrew A. Norton |
source |
7 |
| SUGI |
1998 |
Strategic Use of the SAS System in Banking |
Laurie Rose |
source |
5 |
| SCSUG |
1997 |
An Application of Cycle Regression Analysis Algorithm to Predict Electric Utility Demand |
Mayur R. Mehta,
Walter E. Johnston |
|
7 |
| SCSUG |
1997 |
Applications of Intelligent Technologies for Efficient Businesses |
D. Thomas Taylor,
Ron Salazar |
|
6 |
| SCSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| SCSUG |
1997 |
The Use of PROC ARIMA to Test An Intervention Effect |
Neil S. Fleming,
Eric Gibson,
David G. Fleming |
|
8 |
| WUSS |
1997 |
Analysis of Student Minimum Wage Perception Using the SAS System |
Maria Lizet Arellano,
Pedro Mercado,
John F. Killeen |
source |
4 |
| WUSS |
1997 |
Analysis of Time Series Data - An Application in Health Care |
Sujaya Parthasarathy |
source |
6 |
| WUSS |
1997 |
California Income Distribution: Using SAS Software to Estimate County Level GINI Coefficients |
Daric Brummett |
source |
5 |
| WUSS |
1997 |
Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS |
Steven Brisby |
source |
5 |
| WUSS |
1997 |
Diagnostic Plots in Regression Analysis |
George C. J. Fernandez |
source |
8 |
| WUSS |
1997 |
Economic Development and Women's Social Status: A SAS Analysis |
Seid M. Zekavat |
source |
7 |
| WUSS |
1997 |
Estimation of Shelf-Life and the Minimum Effective Dose Using PROC MIXED |
Louis Munyakazi |
source |
6 |
| WUSS |
1997 |
Factors Influencing Life Expectancy: Using SAS Regression Procedures in a Multi-Country Study |
Kamal Shoukry |
source |
5 |
| WUSS |
1997 |
How to Use the SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves |
Richard Severino |
source |
7 |
| WUSS |
1997 |
Investigating Gender Empowerment: A SAS/STAT Application |
J. Richard Earley |
source |
4 |
| WUSS |
1997 |
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
10 |
| WUSS |
1997 |
Population Adjusted Kaplan-Meier Curves |
Jimmy Thomas Efrid |
source |
6 |
| WUSS |
1997 |
Reliability Data Analysis in the SAS System |
Donna O. Fulenwider,
Gordon Johnson |
source |
10 |
| WUSS |
1997 |
Some Applications of Data Mining Tools in Database Marketing |
Jiamin Liu |
source |
6 |
| WUSS |
1997 |
Using SAS Multivariate Procedures to Estimate Human Development Indicators: The Case of Education and Human Development |
Joseph E. Earley |
source |
4 |
| NESUG |
1997 |
A Multivariate Analysis of Airline Service Quality |
Vasanthakumar Bhat |
|
7 |
| NESUG |
1997 |
A New Adaptive Model for Prediction With the Time Series |
Edward Aronov |
|
9 |
| NESUG |
1997 |
Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices |
Denise Cervelli |
|
6 |
| NESUG |
1997 |
Estimation of Sample Selection Models with SAS/IML Software |
Charles B. Hallahan |
|
9 |
| NESUG |
1997 |
From 50,000,000 Claims to One Analytical File |
Louise S. Hadden,
Mike Murphy,
Alan J. White |
|
6 |
| NESUG |
1997 |
Implementation and Comparison of the Back Propagation Neural Network in SAS Software |
John S. DaPonte |
|
10 |
| NESUG |
1997 |
Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures |
Ernest S. Shtatland |
|
7 |
| NESUG |
1997 |
SAS/GRAPH Software: Doing More with Less ANNOTATE |
Irene Mendelson |
|
6 |
| NESUG |
1997 |
Survival Analysis: Non-Traditional Applications for Non-Statisticians |
Margaret Ann Goetz |
|
5 |
| NESUG |
1997 |
Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance |
Matthew Reilly |
|
8 |
| NESUG |
1997 |
Using Logistic Regression to Test for Interaction in the Presence of Zero Cells |
Lisa Suchower |
|
10 |
| MWSUG |
1997 |
A Macro for Efficient and Flexible Data Smoothing |
John Cucka |
|
7 |
| MWSUG |
1997 |
An Introduction to Survival Analysis |
Linda M. Quinn |
|
12 |
| MWSUG |
1997 |
Analysis of Covariance: A Useful Tool For Investigating Molecular Interaction |
John A. Wass |
|
3 |
| MWSUG |
1997 |
Enhancing the Output from PROC LOGISTIC |
Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski |
|
6 |
| MWSUG |
1997 |
Examining Cointegration Among Time-Series Variables Using Customized SAS Macro: Residual-Based Methods |
Jun Zuo |
|
8 |
| MWSUG |
1997 |
Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals |
Lynette A. Gerstner |
|
7 |
| MWSUG |
1997 |
Measuring Regressor Information Content In the Presence of Collinearity |
Joseph Retzer,
Kurt Pflughoeft |
|
7 |
| MWSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| MWSUG |
1997 |
Using SAS for Variance Estimation with Complex Sample Surveys |
Patricia A. Berglund |
|
9 |
| SESUG |
1997 |
Analysis of Repeated Measures and Longitudinal Data |
Jane Pendergast |
|
8 |
| SESUG |
1997 |
Identifying the Order of Integration of Time-series Data Using Customized SAS Macros: Dickey-Fuller and Augmented Dickey-Fuller Tests |
Jun Zuo |
|
6 |
| SESUG |
1997 |
Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples |
Daniel Teodorescu |
|
5 |
| SESUG |
1997 |
One Trainer's Method of Workshop Design |
Teresa Wilson |
|
9 |
| SESUG |
1997 |
Stratified Weighting of Sample Data for Descriptive Purposes |
David L. Alderton |
|
4 |
| SESUG |
1997 |
Summarization of LOGISTIC Regression Results When There Are Many Dependent Variables and a Common Shared Set of Explanatory Variables |
John T. Jones |
|
7 |
| SEUGI |
1997 |
An application and visualization tool for the exploratory analysis of lifetime data |
Hans-Peter Altenburg,
Thomas Floren |
source |
6 |
| SEUGI |
1997 |
Analysing the incidence of Leukaemia in England and Wales |
David Rowland,
Deborah Allon,
Paul Nicholson,
Richard McNally |
source |
9 |
| SEUGI |
1997 |
Comparison between different methods to estimate orders in ARIMA models |
Dominique LADIRAY,
Michel Grun-Rehomme |
source |
11 |
| SEUGI |
1997 |
Social security benefits: using a warehouse to forecast and monitor social change |
Sandy Fitzpatrick,
Stephen Donnelly |
source |
20 |
| SEUGI |
1997 |
Using lifestyle data to improve customer segmentation |
Huw Davis |
source |
13 |
| SEUGI |
1997 |
Using SAS software in the financial management process |
Christopher P. Gibley,
Janet R. Gibley,
Raymond A. Gibley |
source |
4 |
| SEUGI |
1997 |
Weighted Poisson Analysis à la Goodman using SAS software |
Rian Vogelesang |
source |
14 |
| SUGI |
1997 |
An Experiment Analysis System for Fixed and Random Effects in OverDispersed Binomial Responses in Semiconductor Manufacturing |
Jose G. Ramirez,
Randall S. Collica |
source |
6 |
| SUGI |
1997 |
An Introduction to SAS/ASSIST Software |
Linda P. Atkinson |
source |
6 |
| SUGI |
1997 |
Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros |
Jun Zuo,
Carl R. Haske |
source |
6 |
| SUGI |
1997 |
Detection of Model Specification, Outlier, and Multicollinearity in Multiple Linear Regression Models Using Partial Regression/Residual Plots |
George C. J. Fernandez |
source |
6 |
| SUGI |
1997 |
Developing Risk Adjustment Techniques Using the SAS System for Assessing Health Care Quality in the IMSystem |
Yanchun Xu,
Andrius Kubilius |
source |
5 |
| SUGI |
1997 |
Effectively Displaying Statistical Results in a High Volume Drug Research Environment Using SAS/GRAPH |
Bruce Chinn |
source |
5 |
| SUGI |
1997 |
Enhancing the Output from PROC LOGISTIC |
Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski |
source |
6 |
| SUGI |
1997 |
Forecasting College Enrollment Using the SAS System |
Joseph E. Earley,
Archie J. Calise |
source |
4 |
| SUGI |
1997 |
From 50,000,000 Claims to One Analytical File |
Louise S. Hadden,
Mike Murphy,
Alan J. White |
source |
6 |
| SUGI |
1997 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
1997 |
How Many Good Fishes Are There in Our Net? Neural Networks as a Data Analysis Tool in CDE-Mondadori's Data Warehouse |
Guido Cuzzocrea,
Alberto Saccardi,
Giovanni Lux,
Emilia Porta,
Arianna Benatti |
source |
6 |
| SUGI |
1997 |
Introduction to Building a Linear Regression Model |
Leslie A. Christensen |
source |
7 |
| SUGI |
1997 |
Introduction to JMP under Windows: Hands-On Workshop Outline |
Jenny Aquino Kendall,
Al M. Best,
Charles E. Shipp |
source |
6 |
| SUGI |
1997 |
Logistic Regression Adjustment of Proportions and its Macro Procedure |
Dingyi Zhao |
source |
6 |
| SUGI |
1997 |
LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
6 |
| SUGI |
1997 |
SAS/GRAPH Blues? SAS/FRAME to the Rescue! |
Kathy Shelley |
source |
6 |
| SUGI |
1997 |
SAS/INSIGHT Software or JMP Software: A Comparison |
Andy Mauromoustakos |
source |
3 |
| SUGI |
1997 |
The Parameters: A Statistical Methodology to Determine the Profit of Business Activities |
Ursula Herr,
Giovambattista Giangrieco,
Fabio Zaccaria,
Danilo Ballanti |
source |
3 |
| SUGI |
1997 |
The Tobit Model: An Example of Maximum Likelihood Estimation with SAS/IML |
Charles B. Hallahan |
source |
6 |
| SUGI |
1997 |
UnifyPow: A SAS Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
6 |
| SUGI |
1997 |
Use of PROC MIXED in the Analysis of Repeated Measures Data from a Clinical Trial in Obsessive Compulsive Disorder |
William Bushnell,
Martin Steiner |
source |
6 |
| SUGI |
1997 |
Using Linear Regression and the Gibbs Sampler to Estimate the Probability of a Part Being Within Specification |
Brenda Cantell |
source |
6 |
| SCSUG |
1996 |
A SAS Graph is Worth a Thousand PROC TABULATEs |
Rick Moore,
Steve Johnson |
|
15 |
| SCSUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
A SASe Program Routine to Derive the Required Data Structure to Select Matched Pairs of Observations for Evaluating Quasi-Experimental Research Designs |
Gunapala Edirisooriya |
|
5 |
| SESUG |
1996 |
Computing A DB-Optimal Design Augmentation Scheme Using PROC Il\1L (And Why SAS/QC Can't Do It) |
Paul T. Savarese |
|
6 |
| SESUG |
1996 |
Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures |
Margaret A. Connolly |
|
6 |
| SESUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
Quasicomplete Separation in Logistic Regression: A Medical Example |
Madeline J. Boyle |
|
6 |
| SESUG |
1996 |
sl4tistia |
Dale Preston |
|
7 |
| SESUG |
1996 |
Stepwise Regression as a Multiple Comparison Procedure |
Rodney Sparapani |
|
3 |
| NESUG |
1996 |
Between a ROC Curve and a Hard Place |
Joseph Kufera,
Kimberly A. Mitchell |
|
10 |
| NESUG |
1996 |
Forecasting Business Failures Using a Poisson Regression Model |
Vasanthakumar Bhat |
|
5 |
| NESUG |
1996 |
Graphical Solutions for Market Intelligence |
Frederick E. Pratter |
|
9 |
| NESUG |
1996 |
PC Based Direct Marketing Regression Model Production System |
Rich Masi |
|
3 |
| NESUG |
1996 |
Poor Mans's Missing Value Recovery Methods |
Leonardo Auslender |
|
10 |
| NESUG |
1996 |
The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions |
Rebecca Regeth,
William Stine |
|
9 |
| NESUG |
1996 |
Using Base and SAS/GRAPH Software to Identify and Geographically Display Health Care Labor Markets in New York State |
Matthew Reilly |
|
10 |
| MWSUG |
1996 |
A SAS Macro For Modified Kaplan-Meier Estimates with Time Dependent Covariates |
Lonni R. Schultz,
Gordon R. Jacobsen,
Edward L. Petersen |
|
6 |
| MWSUG |
1996 |
A Set of SAS Macros for Producing Statistical Reports |
Greg A. Grandits |
|
10 |
| MWSUG |
1996 |
Applying Generalized Linear Models to Discrete Response Data Using the SAS System |
Maura E. Stokes |
|
2 |
| MWSUG |
1996 |
Testing for and Correcting for Missing Data in Survey Responses: A Survey of Downtown Business in Minneapolis |
Shelly S. Baxter,
Lawrence C. Marsh |
|
10 |
| WUSS |
1996 |
Comparison of Different SAS Modules for Effective Data Analyses |
George C. J. Fernandez |
source |
2 |
| WUSS |
1996 |
Logistic Regression: From SAS Coding to Statistical Interpretation |
Elizabeth Li |
source |
9 |
| WUSS |
1996 |
Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System |
George C. J. Fernandez |
source |
9 |
| WUSS |
1996 |
Repeated Measures Analysis with the SAS System |
Kathleen Kierman |
source |
10 |
| WUSS |
1996 |
Using the GEE v2.02 SAS Macro to Adjust for Clustering of Respondents Within Interviewer in a Methodological National Probability Survey/Study |
Jesse Albert Canchola |
source |
2 |
| WUSS |
1996 |
Using the SAS System in the Principles of Economics Course |
John F. Kileen,
Joseph E. Earley |
source |
2 |
| PNWSUG |
1996 |
Computing and Presenting Adjusted Rates for Health Utilization Research |
William Kreuter |
|
17 |
| PNWSUG |
1996 |
Net Impact for Program Evaluation Modeling and SAS Programming |
Boqing Wang |
|
18 |
| SEUGI |
1996 |
A network to solve your problems |
Martin Duffy |
source |
7 |
| SEUGI |
1996 |
Computational Changes in the Analysis of Data from Case-Control Studies |
Anette Pfahlberg,
Olaf Gefeller |
source |
9 |
| SEUGI |
1996 |
Diagnostics and estimation procedures of quantitative dose response relationships using SAS ... |
Hans-Peter Altenburg |
source |
8 |
| SEUGI |
1996 |
Microsimulator builder - a client/server application |
Eva Papp,
Zsuzsanna Keki |
source |
15 |
| SEUGI |
1996 |
Multiple-entity tax planning and goal programming |
Janet R. Gibley,
Raymond A. Gibley |
source |
5 |
| SEUGI |
1996 |
Neural Networks Application: a case study |
Rui Alexandre Henriques Gonçalves |
source |
7 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| SEUGI |
1996 |
SAS software in the retail market |
Scott Thomson |
source |
10 |
| SEUGI |
1996 |
SAS software solutions for direct marketing data analyses |
Michael Felsmann |
source |
37 |
| SEUGI |
1996 |
Statistical models for thermal aging of steel materials in nuclear power plants |
Mattieu Persoz |
source |
11 |
| SUGI |
1996 |
A Plan to Implement the LlMU Model by a Slight Modification of the Current MIXED Procedure |
Mark X. Norleans |
source |
5 |
| SUGI |
1996 |
A SAS Macro for validating a Logistic Model with Split Sample and Bootstrap Methods |
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski,
Bharat K. Thakkar |
source |
4 |
| SUGI |
1996 |
A Tutorial on Bootstrapping in the SAS System |
Paul A. Thompson |
source |
10 |
| SUGI |
1996 |
Beating Student's t and the Bootstrap - USing SAS Software to Generate Conditional Confidence Intervals for Means |
Thomas C. Chenier,
Paul Vos |
source |
6 |
| SUGI |
1996 |
Computing Min and Max Scorings for Two-Sample Ordinal Data |
Lyn Whitaker,
Michael D. Whitaker |
source |
6 |
| SUGI |
1996 |
Conjoint and Beyond: Clustering and Logistic Regression of Attribute Importance |
Leslie A. Christensen |
source |
5 |
| SUGI |
1996 |
Estimating Optimal Transformations in Non-Linear Models |
Nicholas Scott Cardell,
Dan Steinberg |
source |
6 |
| SUGI |
1996 |
Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property |
Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis |
source |
6 |
| SUGI |
1996 |
New Age Marketing: Past Life Regression vs. LogisticRegression |
C. Olivia Parr Rud |
source |
5 |
| SUGI |
1996 |
Repeated Measures Analysis with Discrete Data Using the SAS System |
Gordon Johnston |
source |
5 |
| SUGI |
1996 |
SAS/GRAPH Software: Doing More with Less ANNOTATE |
Irene Mendelson |
source |
6 |
| SUGI |
1996 |
Teaching the SAS System as an Academic Subject |
Andrew H. Karp |
source |
|
| SUGI |
1996 |
Test of Hypotheses in Repeated Measures Models Under General Antedependence Covariance Structures in SAS Software |
Raul E. Macchiavelli,
E. Barry Moser |
source |
4 |
| SUGI |
1996 |
Tips on JMPing into Mixture Experimentation |
Daniel J. Obermiller |
source |
6 |
| SUGI |
1996 |
Using SAS Software to Assess and Adjust for Nonlinearity in Nonlinear RegreSSion Models |
Timothy E. O'Brien,
Ye Wang |
source |
10 |
| SUGI |
1996 |
Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias |
Greg A. Grandits,
Patricia Grambsch |
source |
3 |
| SUGI |
1996 |
Using SASlETS Software to Develop a Forecasting Model |
Barbara Ledwith-Crosby |
source |
4 |
| MWSUG |
1995 |
An Introduction to Binary Logistic Regression |
Linda M. Quinn |
|
8 |
| MWSUG |
1995 |
Applications of PROC PHREG Enhancements in Version 6.10 |
Ying C. So |
|
9 |
| MWSUG |
1995 |
Determining The Binding Constants of Biologically Active Compounds to Nucleic Acids: A Nonlinear Regression Approach |
David E. Booth |
|
17 |
| MWSUG |
1995 |
Doing Inverse Regression Estimation Via SAS/IML |
E. C. Drago,
T. G. Filloon |
|
6 |
| MWSUG |
1995 |
Getting ANNOTATE Data Sets to Work For You - A Beginning Tutorial |
Cynthia J. Musser |
|
6 |
| MWSUG |
1995 |
Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach |
Tom G. Filloon |
|
6 |
| MWSUG |
1995 |
Matching Observations on Both Continuous and Categorical Variables: A Simple Application of the FASTCLUS Procedure |
Manuel S. Lombardero |
|
6 |
| MWSUG |
1995 |
PROACTIVE vs. REACTICE SPC Analysis at LTV Steel |
Paul M. Centric,
Robert J. Scharl |
|
6 |
| MWSUG |
1995 |
Quality Improvement in SAS Coding: Reducing Defects |
Linda M. Quinn |
|
8 |
| MWSUG |
1995 |
Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML |
Paul A. Thompson |
|
10 |
| NESUG |
1995 |
A Picture is Worth a Thousand Numbers -- Reporting Results of Longitudinal Analyses |
Karol H. Katz |
|
8 |
| NESUG |
1995 |
Estimating MEXVAL Statistics |
Ashok Mehta |
|
5 |
| NESUG |
1995 |
Estimation of Nonlinear Models: A Computational Review |
D. Das Purkayastha |
|
8 |
| NESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
1995 |
Implementing a Modified Method of Weighted/Unweighted Means |
Robert H. Brown |
|
9 |
| NESUG |
1995 |
Imputing Missing Values to Survey Data: Three SAS Algorithms |
Roald Euller |
|
2 |
| NESUG |
1995 |
More on PROC PHREG: Conditional Logistic Regression (or Should We Do Another Study..?) |
Peter P. Gaccione |
|
10 |
| NESUG |
1995 |
Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects |
Virginia Fitzpatrick,
Ruth Swithenbank |
|
7 |
| NESUG |
1995 |
SAS/ASSIST for the New SAS User |
Jeanne M. Spicer |
|
8 |
| NESUG |
1995 |
This Old House with SAS |
William H. Couch |
|
8 |
| NESUG |
1995 |
Understanding the Collinearity Diagnostics in SAS/INSIGHT and PROC REG |
Charles B. Hallahan |
|
4 |
| WUSS |
1995 |
Applying the SAS System in Undergraduate Managerial Economics: A General Approach |
Seid M. Zekavat |
source |
5 |
| WUSS |
1995 |
Heteroskedasticity in Regression Model - Detection and Remedial Measures Using SAS 6.10 |
George C. J. Fernandez |
source |
10 |
| WUSS |
1995 |
Method Comparison Using Bland-Altman Method |
Meng-Koon Chua |
source |
5 |
| SESUG |
1995 |
Applications Development Building Quality into the SAS System |
Frank Lassiter |
|
5 |
| SESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1995 |
Information Visualization STATISTICAL GRAPmCS |
David A. Dickey |
|
6 |
| SESUG |
1995 |
New Age Marketing: Past Life Regression versus Logistic Regression |
C. Olivia Parr Rud |
|
9 |
| SESUG |
1995 |
Techniques for Optimizing Response Surfaces |
Randall D. Tobias |
|
6 |
| SEUGI |
1995 |
DoPE: A Tool for D-Optimal Planning & Experimentation |
Christoph F. Berding |
source |
16 |
| SEUGI |
1995 |
Model Building for the Cox Proportional Hazards Model with the SAS System |
Richard Vonk |
source |
12 |
| SEUGI |
1995 |
The SAS Research Application 2.1 |
Patrick O'Donoghue |
source |
3 |
| SUGI |
1995 |
A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses |
Nancy McDermott,
Cynthia White |
source |
6 |
| SUGI |
1995 |
A Primer on Poisson Regression using SAS/STAT Software Methods and Interpretation of Results |
Richard McNally |
source |
4 |
| SUGI |
1995 |
An Integrated System for Graphical Data Review |
Scott Scheleur,
Julia L. Bienias,
David Stachurski,
David Lassman |
source |
6 |
| SUGI |
1995 |
An Interactive Program of the GEE Method for the Analysis of Longitudinal Data |
Masakazu Andoh,
Tohru Uwoi |
source |
6 |
| SUGI |
1995 |
An Introduction to JMP Software, Release 3.1, SAS Institute's Statistical Visualization Software for Both Macintosh and Windows |
William R. Gjertsen |
source |
7 |
| SUGI |
1995 |
An Introduction to Partial Least Squares Regression |
Randall D. Tobias |
source |
8 |
| SUGI |
1995 |
Analytic Modeling in SAS/INSIGHT Software |
Heman Robinson |
source |
6 |
| SUGI |
1995 |
Bartlett Correction of Binomial Regression Analyses of Small Samples |
Lawrence Moulton,
Roy St. Laurent,
Lisa Weissfeld |
source |
5 |
| SUGI |
1995 |
Batch Processing in SAS/INSIGHT Software |
Heman Robinson |
source |
8 |
| SUGI |
1995 |
Bootstrap Cox Regression Using SAS Procedures |
Chikuma Hamada,
Junji Kishimoto |
source |
5 |
| SUGI |
1995 |
Granger-Sims Test for Causality |
Ashok Mehta |
source |
6 |
| SUGI |
1995 |
Karnaugh Maps, Interaction Effects and Creating Composite Dummy Variables for Regression Analysis in SAS Software |
Lawrence C. Marsh,
Karin Wells |
source |
10 |
| SUGI |
1995 |
Matching Observations on Both Continuous and Categorical Variables: A Simple Application of the FASTCLUS Procedure |
Manuel Lombardero |
source |
6 |
| SUGI |
1995 |
Obtaining and Verifying Optimal Designs for Nonlinear Regression Models Using SAS Software |
Timothy E. O'Brien |
source |
6 |
| SUGI |
1995 |
Performance Tester |
Jerry E. Plaatje |
source |
4 |
| SUGI |
1995 |
Plots for Influential and Poorly Fitting Covariate Patterns in the LOGISTIC Procedure |
Mark Moss,
William C. Murphy |
source |
6 |
| SUGI |
1995 |
Plotting Confidence Intervals and Prediction Bands with SAS/GRAPH Software |
Huixing Tang,
Kerril S. Bauerly,
David Swift |
source |
3 |
| SUGI |
1995 |
Robust Analysis Adds M-uscle to Data Analyses |
E. Charlene Drago,
Tom Filloon |
source |
6 |
| SUGI |
1995 |
Use of JMP Software to Optimize Low Temperature Cofired Ceramics Laser Cavity Formation through Design of Experiments |
Melvin T. Alexander,
Brian Hogan,
Carl T. Brooks |
source |
8 |
| SUGI |
1995 |
Using the SAS System for Market Research |
Laurie Rose |
source |
5 |
| SUGI |
1995 |
Writing Programs for JMP Software |
Alvin M. Best III |
source |
6 |
| SCSUG |
1994 |
Intervention Analysis in Vocational Rehabilitation |
David B. Cohen |
|
12 |
| SCSUG |
1994 |
Plotting Confidence Intervals and Prediction Bands With SAS/GRAPH |
Huixing Tang,
David Swift,
Kerril S. Bauerly |
|
5 |
| WUSS |
1994 |
A Reassessment of the Monetary Approach to Exchange Rate Determination: A Multivariate Analysis of Difference-Stationary Time Series |
Victor Gastnaga |
source |
6 |
| WUSS |
1994 |
Empirical Analysis of Food Demand in Peru: Results and the Use of SAS Software |
Sumon Kumar Bhaumik |
source |
6 |
| WUSS |
1994 |
Factors Determining the Fluctuation of the Dow Jones Industrial Index Using SAS Procedures |
JiHong McDermott,
Anne-Marie Mowad |
source |
3 |
| WUSS |
1994 |
Forecasting College Enrollment Using SAS/ETS Procedures |
J. Richard Earley |
source |
4 |
| NESUG |
1994 |
Best Initial Values for Nonlinear Estimation: Stripping Algorithm Implemented as SAS/IML Routine |
Ekaterina Gibiansky |
|
5 |
| NESUG |
1994 |
Development of an Adaptive Model for Forecasting of Nonstationary Processes |
Edward Aronov |
|
9 |
| NESUG |
1994 |
Exploratory Data Analysi When You Don't Have SAS/INSIGHT |
Michael A. Walega |
|
10 |
| NESUG |
1994 |
PROC LOGISTIC: A Form of Regression Analysis |
Edith Flaster |
|
3 |
| NESUG |
1994 |
Using SAS/IML to Account for Spatial Dependence in Regression Models |
Charles B. Hallahan |
|
8 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| MWSUG |
1994 |
Transforming Data in SAS: Restructuring Data Sets, Creating Look-Up Tables, and Forming Person-Year Recores for Event History Analysis in SAS |
Lawrence C. Marsh,
Karin L. Wells |
|
7 |
| SESUG |
1994 |
GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS |
David A. Dickey |
|
4 |
| SESUG |
1994 |
Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios |
Sigurd W. Hermansen |
|
5 |
| SESUG |
1994 |
MrPD - A SAS Software Application Using Desirability Functions For Optimization of Multiple Responses |
Walter T. Morgan |
|
6 |
| SESUG |
1994 |
rOSTERS Applications in SASIIMLTM: Getting Odds Ratios from PROC LOGISTIC |
D. Kim Chantala |
|
5 |
| SEUGI |
1994 |
Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System |
Paola Baiardi |
source |
10 |
| SEUGI |
1994 |
Exploitation d'une enquête pour la constitution d'un panel de réseaux |
D. Lautard,
Frank Jamin |
|
14 |
| SEUGI |
1994 |
Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) |
Philippe Besse |
source |
16 |
| SEUGI |
1994 |
Neural Networks and Statistical Models |
Derek Powell,
Martin Duffy |
source |
9 |
| SEUGI |
1994 |
New Features of SAS/PH-Clinical Software |
Brian Fredric |
source |
6 |
| SEUGI |
1994 |
Practical Aspects of Modelling Techniques in Logistic Regression Procedures of the SAS System |
Josef Hogel |
source |
6 |
| SEUGI |
1994 |
Resampling Using SAS/IML Software Some Medical Applications |
Gina Joubert |
source |
8 |
| SEUGI |
1994 |
Statistical Decision Support - Expert System for Examining Decaying and Aging Manpower Displacements |
Yechezkel Kling |
source |
8 |
| SEUGI |
1994 |
The Analysis of Data from Case-control Studies Which Statistical Methods and Software Products are Used |
Olaf Gefeller |
source |
9 |
| SEUGI |
1994 |
The Role of SAS Software in the Analysis of the Data in a Donor Insemination Programme |
William Wallace |
source |
14 |
| SEUGI |
1994 |
Une méthode de statistiques douces Le polissage d'un tableau croisé |
Michel Grun-Rehomme |
|
10 |
| SEUGI |
1994 |
Using PROC MIXED on Animal Growth Curves Some Initial Experiences |
Graham Healey |
source |
10 |
| SEUGI |
1994 |
Using SAS/IML Software to Develop Flexible Regression Models |
Edwin Gillespie,
Noel Wilson |
source |
5 |
| SUGI |
1994 |
An Overview of the ADX Menu System and Design of Experiments |
Almira A. Dumaual,
Timothy E. Cooley |
source |
6 |
| SUGI |
1994 |
Estimating Spatial Regression Models with SAS/IML |
Charles B. Hallahan |
source |
5 |
| SUGI |
1994 |
Estimation of the Values below the Detection Limit by Regression Techniques |
Shi-Tao Yeh,
Gayland Ridley |
source |
4 |
| SUGI |
1994 |
Exploring Broadway with SAS/ETS: A Statistical Analysis of the Acting Profession |
Joseph E. Earley,
James D. Ryan,
Archie J. Calise |
source |
3 |
| SUGI |
1994 |
Graphical Analysis of Multidimensional Ecological Community Data |
E. Barry Moser |
source |
6 |
| SUGI |
1994 |
Integrating Statistical Information into Graphical Displays |
Susan J. Kenny |
source |
10 |
| SUGI |
1994 |
Interpreting Complex Nonlinear Models |
Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty |
source |
5 |
| SUGI |
1994 |
Interval-Censored Survival Data |
Ying C. So |
source |
7 |
| SUGI |
1994 |
Log Negative Binomial Regression Using the GENMOD Procedure SAS/STAT Software |
Joseph M. Hilbe |
source |
6 |
| SUGI |
1994 |
Making the Crystal Ball Clearer: Using the SAS System to Develop a User-Oriented Demand Forecasting System |
Michael F. Reed |
source |
2 |
| SUGI |
1994 |
Managing Census Data to Improve Public Response |
Jay K. Keller |
source |
9 |
| SUGI |
1994 |
MrPD - A SAS Software Application of Optimization of Multiple Responses Using Desirability Functions |
Walter T. Morgan,
Ray W. Hawley |
source |
6 |
| SUGI |
1994 |
Multivariate Analysis of Employee Surveys &Customer Surveys: Using New Computer Technology to Collect, Analyze, &Display Data |
Palmer Morrel-Samuels |
source |
5 |
| SUGI |
1994 |
Neural Network Implementation in SAS Software |
Warren S. Sarle |
source |
23 |
| SUGI |
1994 |
Neural Networks and Statistical Models |
Warren S. Sarle |
source |
13 |
| SUGI |
1994 |
Nonlinear Regression Analysis and Nonlinear Simulation Models |
Donald Erdman,
Mark Little |
source |
9 |
| SUGI |
1994 |
Programming the NUN Procedure Using the Negative Binomial Yield Model for ASIC Semiconductors |
Jon A. Patrick |
source |
4 |
| SUGI |
1994 |
Scientific Visualization in Oil and Gas Exploration |
Leon L. Fedenczuk,
Brian Wyvill,
Kristina Hoffmann |
source |
6 |
| SUGI |
1994 |
Small-Sample Inference in SAS Software: Using Exact Methods |
Cyrus R. Mehta |
source |
9 |
| SUGI |
1994 |
Using SAS Software to Carry Out a More Complete Thurstone Scaling Data Analysis |
Jeff A. Sloan |
source |
6 |
| SUGI |
1994 |
Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs |
Richard P. Steiner,
N. Margaret Wineman |
source |
5 |
| NESUG |
1993 |
Interfacing StatXact and SAS for Exact Tests |
Cyrus R. Mehta,
David C. Schlotzhauer |
|
9 |
| NESUG |
1993 |
User-friendly Testing Analysis with SAS Software Products |
Andy Ravenna,
Mark L. Schneider |
|
6 |
| WUSS |
1993 |
A Macro for Personalized Odds Ratios |
Alice Pressman,
K. L. Stone,
Estie Hudes,
J. L. Tao |
source |
4 |
| WUSS |
1993 |
A SAS Macro to Test the Significance of Differences Between Parameter Estimates in PROC CATMOD |
Linda R. Ferguson,
Mel Widawski,
Dawn M. Upchurch |
source |
5 |
| WUSS |
1993 |
Comparing Japanese and American GDP-Money Lag Structure Using SAS PROC PDLREG |
Reiko Ishii,
Ryotaro Tsutsumi,
John F. Killeen,
Joseph E. Earley |
source |
2 |
| SCSUG |
1993 |
Survival Analysis with SAS LIFETEST and PHREG Procedures |
Zhongmin Li |
|
10 |
| MWSUG |
1993 |
Common Industrial Applications of Mixed Models |
Bob Obenchain |
|
10 |
| MWSUG |
1993 |
Data Ansalysis Semicolon-Free: Using SAS without the Syntax |
Julia Brooks |
|
3 |
| MWSUG |
1993 |
Generalized Least Squares Estimation in Heteroscedastic Linear Models |
George W. Pasdirtz |
|
7 |
| MWSUG |
1993 |
Graphical Methods for Categorical Data |
Michael Friendly |
|
7 |
| MWSUG |
1993 |
Graphical Methods for the Interpretation of Linear Regression Models |
Simin Kavoossi,
Timothy E. Cooley |
|
7 |
| SEUGI |
1993 |
A New Look at the Facilities in PROC MIXED |
James L. Roger |
source |
12 |
| SEUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Gerhard Held |
source |
11 |
| SEUGI |
1993 |
Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali |
Michel Tenehaus |
source |
28 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SEUGI |
1993 |
Variable Selection Techniques Implemented in Procedures of SAS Software |
Olaf Gefeller |
source |
9 |
| SEUGI |
1993 |
White Scan: Whiter than White in 3D |
Jurgen Rauber |
source |
8 |
| SUGI |
1993 |
A Fuzzy Clustering Approach in Support of Identifying Influential Observations and the Computation of Multiple Outlier Diagnostics |
Konstantinos Triantis,
Ritu Puri,
William L. Seaver |
source |
6 |
| SUGI |
1993 |
A SAS Macro Procedure to Summarize the Output of Logistic Regression Models |
Benjamin I. Broder,
Chih-Ping Chou |
source |
6 |
| SUGI |
1993 |
A Tutorial on Logistic Regression |
Ying C. So |
source |
6 |
| SUGI |
1993 |
An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression |
Tapon Roy |
source |
6 |
| SUGI |
1993 |
Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data |
Dan Steinberg |
source |
4 |
| SUGI |
1993 |
Bayesian Statistics in SAS Software |
William J. Raynor Jr. |
source |
10 |
| SUGI |
1993 |
Experiences with a General SAS Macro for the Construction of Classification and Regression Trees |
Roland Brandmaier,
H. Ansari,
D. Dickson |
source |
4 |
| SUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Greg J. Weier,
Randall D. Tobias |
source |
11 |
| SUGI |
1993 |
Filling in the Blanks: Multiple Imputation for Replacing Missing Values in Survey Data |
P. M. Wright |
source |
3 |
| SUGI |
1993 |
Forecasting Methods |
Mark Little |
source |
13 |
| SUGI |
1993 |
Forecasting the Volatility of Financial Markets: ARCH/GARCH Models and the AUTOREG Procedure |
Minbo Kim |
source |
|
| SUGI |
1993 |
Getting to Know You, Getting to Know All About You: Simple Techniques for Forming a Relationship with Your Data |
Arthur L. Carpenter |
source |
6 |
| SUGI |
1993 |
Graphical Evaluation of Product Characteristics |
Melissa A. Durfee |
source |
6 |
| SUGI |
1993 |
Guided Data Analysis with SAS/LAB Software |
Katherine J. Roggenkamp,
Wayne E. Watson,
Randall D. Tobias |
source |
7 |
| SUGI |
1993 |
Likelihood Ratio Tests for Regression Coefficients from the Cox Proportional Hazards Model Using the PHREG Procedure |
Laurent M. Kassalow |
source |
6 |
| SUGI |
1993 |
Macros Can Condense and Simplify Statistical Output for Presentation to End Users |
John A. Wenston |
source |
6 |
| SUGI |
1993 |
Model Estimation with Inequality Constraints: A Bayesian Approach Using SAS/IMLSoftware |
Charles B. Hallahan |
source |
7 |
| SUGI |
1993 |
MONOSEL: A SAS Macro for Model Selection in Linear Regression Analysis |
Victor Kamensky,
Ilya Muchnik |
source |
6 |
| SUGI |
1993 |
Performance and Capacity Planning in a Mainframe Environment |
Thomas G. Confrey,
Ellie Rosenbaum |
source |
6 |
| SUGI |
1993 |
Performance of the SAS System for Personal Computers under Popular Operating Environments |
Allan D. Rosen |
source |
6 |
| SUGI |
1993 |
Practical Econometric Analysis for Assessment of Real Property Using the SAS System on Personal Computers |
Shah Amal,
Robert Weselowski |
source |
6 |
| SUGI |
1993 |
Relating Orthogonal Contrasts to Regression Coefficients through Estimable Functions in the GLM Procedure |
Louis Munyakazi,
Roy H. Sorbet,
Richard L. Hintz |
source |
4 |
| SUGI |
1993 |
RNs, MDs and the SAS System: Describing Medical Professional Trends Using SAS Procedures |
Joseph E. Earley,
Joyce Bailey,
Archie J. Calise |
source |
3 |
| SUGI |
1993 |
Robust Estimation Using IRLS Procedures |
Eric Yu I. Wang |
source |
3 |
| SUGI |
1993 |
SAS Software to Fit the Generalized Linear Model |
Gordon Johnston |
source |
8 |
| SUGI |
1993 |
SAS/LAB Software for Guided Data Analysis |
Wayne E. Watson,
Katherine J. Roggenkamp,
Randall D. Tobias |
source |
7 |
| SUGI |
1993 |
Using SAS Software to Identify Critical Variables in the Manufacturing of Hybrid Microelectronics Assemblies |
Melvin T. Alexander,
Brian Hogan,
Ingrid Jensen Vaughan |
source |
9 |
| SUGI |
1993 |
Using SAS/IML Software to Generate Odds Ratios and Associated Intervals Based on Logistic Regression Output |
Catherine O. Cowie,
Danita D. Byrd-Hol,
Keith F. Rust |
source |
6 |
| SESUG |
1993 |
Books By Users For Users |
David Baggett |
|
4 |
| SESUG |
1993 |
Developing an In-House SAS Training Program for an Academic Environment |
Barbara B. Okerson |
|
5 |
| SESUG |
1993 |
Repeated Measures Using PROC MIXED Instead of PROC GLM |
James H. Roger,
Michael Kenward |
|
10 |
| SESUG |
1993 |
User-friendly Testing Analysis with SAS Software Products |
Mark L. Schneider |
|
6 |
| SESUG |
1993 |
Using SAS Statistical Procedures in Medical Research |
Joe Cholewczynski |
|
6 |
| SESUG |
1993 |
Using SAS to Analyze Health Status in Insurance Claims |
Richard N. Lieberman |
|
10 |
| SCSUG |
1992 |
A Scoring System for Sales Tax Audit Selection |
Thomas J. Winn Jr. |
|
10 |
| SCSUG |
1992 |
Adaptive Algorithmic Surface Response Estimation |
Thomas W. Sager,
M. W. Hemphill |
|
15 |
| SCSUG |
1992 |
Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC |
Chuan-Chuan C. Wun |
|
19 |
| SCSUG |
1992 |
The Use of PROC ARIMA to Perform Time-Series Intervention Analysis of the Impact of the Texas 1989 Motorcycle Helmet Law on Total and Head-Related Fatalities |
Neil S. Fleming |
|
21 |
| SCSUG |
1992 |
User-friendly Testing Analysis with SAS Software Products |
Mark L. Schneider |
|
6 |
| NESUG |
1992 |
An In-Depth Look at the PHREG Procedures |
Peter P. Gaccione |
|
9 |
| NESUG |
1992 |
Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software |
Mark Brown |
|
6 |
| NESUG |
1992 |
More on Business Forecasting With SAS |
Jeffrey Jarrett |
|
5 |
| NESUG |
1992 |
Principles of Logistic Regression in Radiation Oncology |
J. Efird,
F. Pardo,
P. Okunieff,
D. Shoenfeld,
H. Aronen |
|
10 |
| NESUG |
1992 |
SAS System Alternatives |
SherriJoyce King |
|
7 |
| NESUG |
1992 |
Using Macros to Create Parameter Driven Procedures that Summarize and Present Statistical Output in Tabular form |
John Wenston,
Ralph D'Agostino Jr.,
Kimbery Dukes |
|
6 |
| MWSUG |
1992 |
A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials |
George W. Pasdirtz |
|
6 |
| MWSUG |
1992 |
Books By Users For Users |
David Baggett |
|
4 |
| MWSUG |
1992 |
Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software |
Mark Brown,
Marshall P. Scott |
|
6 |
| SEUGI |
1992 |
Analysing Business and Economic Data with SAS/ETS Software |
Georg Morsing |
source |
9 |
| SEUGI |
1992 |
Data Analysis and Storage Using the SAS System at JET, the Joint European Torus |
Knud Thomsen |
source |
16 |
| SEUGI |
1992 |
Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software |
Rainer Muche |
source |
10 |
| SEUGI |
1992 |
Guided Data Analysis with SAS/LAB Software |
Gerhard Held |
source |
7 |
| SEUGI |
1992 |
Marketing Research - Uncovering Competitive Advantage |
Gerhard Held |
source |
8 |
| SEUGI |
1992 |
SAS/INSIGHT Software: Introduction and New Features |
Gerhard Held |
source |
7 |
| SEUGI |
1992 |
The SAS System and Meta Knowledge |
Herve Augendre |
source |
7 |
| SEUGI |
1992 |
Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models |
John Hendrickx |
source |
22 |
| SEUGI |
1992 |
Using SAS/IML for Advanced Statistical Needs, With an Example on Credit Scorecard Building |
Lynne Pritchard,
Paul Chik |
source |
10 |
| SEUGI |
1992 |
What's New in Release 6.07 of SAS/GRAPH Software |
Angela Zenari,
Karin Essmann |
source |
11 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |
| SUGI |
1992 |
A Macro Procedure in SAS Software to Summarize Output of Regression Models |
Chih-Ping Chou,
Eric Yu I. Wang |
source |
4 |
| SUGI |
1992 |
An Alternative Convergence Criterion for the NLIN Procedure |
William Potts |
source |
4 |
| SUGI |
1992 |
Analytic Modeling in SAS/INSIGHT Software |
Heman Robinson |
source |
6 |
| SUGI |
1992 |
Analyzing Business and Economics Data with SAS/ETS Software |
Mark Little |
source |
9 |
| SUGI |
1992 |
Bootstrap Estimation of the Variance of Percentile Regression Parameters |
Michael L. Smith,
George Howard,
Gregory W. Evans |
source |
9 |
| SUGI |
1992 |
Extending the SAS System's Statistical Capabilities with SAS/IML Software |
Charles B. Hallahan |
source |
10 |
| SUGI |
1992 |
Graphical Aids for Summarizing Inferential Results of Nonlinear Regression |
William J. Price,
Bahman Shafii |
source |
6 |
| SUGI |
1992 |
Graphical Methods for Categorical Data |
Michael Friendly |
source |
7 |
| SUGI |
1992 |
Influence Measures in Nonlinear Regression |
Tapon Roy |
source |
4 |
| SUGI |
1992 |
INSIGHT into Multiple Regression |
Robert A. Muenchen |
source |
4 |
| SUGI |
1992 |
Interactive Data Analysis Strategies |
Alvin M. Best III |
source |
6 |
| SUGI |
1992 |
Marginal. Probabilities: An Intuitive Alternative to Logistic Regression Coefficients |
P. M. Wright |
source |
3 |
| SUGI |
1992 |
Marketing Research: Uncovering Competitive Advantages |
Warren F. Kuhfeld |
source |
9 |
| SUGI |
1992 |
Moving a Health Data System from a Research to a Business Environment |
Michael C. Hein,
Lisa Hein |
source |
5 |
| SUGI |
1992 |
Multivariate Inequality Hypostheses Using SAS/IML Software |
Dan Jacobs,
Estelle Russek-Cohen |
source |
4 |
| SUGI |
1992 |
Proportional Hazards Analysis of Left-truncated Survival Data |
Dennis Heisey |
source |
6 |
| SUGI |
1992 |
SAMP/AID - Sampling Applications and Demonstrations in Learning Statistics |
Efraim Darom |
source |
5 |
| SUGI |
1992 |
SAS Software and the Bard: Using SAS Software Procedures to Measure One-Person Theatrical Show Preferences |
James D. Ryan,
Joseph E. Earley |
source |
6 |
| SUGI |
1992 |
Some Problems in Computer Aided Design of Experiments |
Douglas C. Montgomery |
source |
8 |
| SUGI |
1992 |
Statistical Simulations Using the CALIS Procedure |
David P. MacKinnon |
source |
5 |
| SUGI |
1992 |
Testing the Rationality of Panel Data Forecasts Using a GMM Estimator |
Richard H. Cohen |
source |
6 |
| SUGI |
1992 |
The Use of Logit Analysis: Pitfalls and SAS Tips |
William Chan |
source |
3 |
| SUGI |
1992 |
Using Macros to Run Regressions |
Reesa L. Laws |
source |
2 |
| SUGI |
1992 |
Using SAS Econometric Modeling to Predict Year 2000 Census Mail Response |
Jay K. Keller,
Michele Carrier |
source |
4 |
| SUGI |
1992 |
Using the NLIN Procedure to Combine Estimates of Relative Potency |
Stan Altan,
Jaya Natarajan |
source |
6 |
| SUGI |
1992 |
Weather Sensitive Appliance Load Curves: Conditional Demand Estimation |
Deepak A. Keshani,
Thomas N. Taylor |
source |
9 |
| SUGI |
1992 |
What's New in Release 6.07 of SAS/GRAPH Software |
Donna Bravo |
source |
9 |
| SCSUG |
1991 |
Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You |
Richard W. Cole |
|
12 |
| SCSUG |
1991 |
PROC AUTOREG to Forecast With a Time-Series/Cross-Section Autocorrelation Model |
Neil S. Fleming,
Willy Waks |
|
16 |
| SCSUG |
1991 |
The General Structural Relation Through SAS/AF Windows: An IML Macro You Can't See |
Robert J. Zambarano |
|
19 |
| NESUG |
1991 |
Graphical Evaluation of Product Characteristics |
Melissa A. Durfee |
|
6 |
| NESUG |
1991 |
Overview of ETS Procedures for Business Forecasting |
Jeffrey Jarrett |
|
4 |
| NESUG |
1991 |
Postioning Variance and Comparing Treatment Means with CONTRAST and ESTIMATE |
Kenneth S. Yourstone |
|
6 |
| NESUG |
1991 |
Using SAS to Develop a Microcomputer-Based Decision Support System |
Alberto Cordoba |
|
4 |
| NESUG |
1991 |
Using Spreadsheet Systems to Complement SAS/STAT |
Edward Lee,
Kendall Bryant,
Mary-Ellen Power |
|
8 |
| MWSUG |
1991 |
Boostrapping the Kaplan-Meier Difference Equation |
George W. Pasdirtz |
|
6 |
| MWSUG |
1991 |
Cut the Key Entry and Contain the Corrections: Automating SAS Systems with OUTPUT and MERGE Features in Macros |
David J. Ross |
|
4 |
| MWSUG |
1991 |
Designing Data Analysis Systems by Integrating PC SAS, Windows 3.0, and Toolbook |
Kathy Shelley,
Mack Shelley |
|
6 |
| MWSUG |
1991 |
Home Value - Location, Location, Location: An Application in Real Property Gloval Response Surface Technology |
Lawrence C. Marsh,
Anthony B. Sindone |
|
5 |
| MWSUG |
1991 |
Monte Carlo Analysis of Change Scores |
David J. Mangen |
|
6 |
| MWSUG |
1991 |
Using PC SAS/ASSIST for Statistical Analysis |
Margaret A. Nemeth |
|
6 |
| SEUGI |
1991 |
Data-Analysis with SAS/GRAPH Software |
H.C.M. van der Knaap |
source |
10 |
| SEUGI |
1991 |
Future Directions of Statistical Software with the SAS System |
David M. DeLong |
source |
20 |
| SEUGI |
1991 |
Method of Exact Samples for Testing Statistical Packages |
Ene-Margit Tiit,
M. Viil,
S. Koskel |
source |
5 |
| SEUGI |
1991 |
Pharmacokinetic Analysis with the SAS System |
Martin F. Michael |
source |
10 |
| SEUGI |
1991 |
Simulation Methods Based on the SAS System |
Karin Schlauss,
Paul Muller |
source |
12 |
| SEUGI |
1991 |
STARS: Statistical and Reporting System for Clinical Research Data |
A. Longoni,
G. Marcon,
M. Sanarico,
R. Ferrara |
source |
7 |
| SEUGI |
1991 |
Statistical Evaluation and Forecasting of Steel Corrosion Data |
Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester |
source |
11 |
| SEUGI |
1991 |
Statistical Procedures in Testing the Performance of Crop Growth Simulation Models |
Ferenc Zemankovics,
Zsuzsanna Bacsi |
source |
15 |
| SUGI |
1991 |
1990 Census Mail Response and Related Variables: An Examination at the County Level Using Regression Analysis |
Jay K. Keller,
Quentin Newhouse Jr. |
source |
5 |
| SUGI |
1991 |
A Macro For Principal Component Logistic Regression |
Brian D. Marx |
source |
6 |
| SUGI |
1991 |
A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures |
Susan Foley Anton,
Joseph J. Andary |
source |
6 |
| SUGI |
1991 |
A Program to Compute Odds Ratios and Confidence Intervals from LOGISTIC Output |
Eric Yu I. Wang,
Aili Gong,
David P. MacKinnon |
source |
4 |
| SUGI |
1991 |
A SAS Macro for Assessing Differential Drug Effect |
Terrance L. Fox,
Bruce Ekholm |
source |
4 |
| SUGI |
1991 |
A SAS Program for Calculating and Displaying Regression Lines in Two-Way ANCOVA Models with Unequal Slopes |
Joseph J. Andary |
source |
5 |
| SUGI |
1991 |
A SAS Program for Seasonal Kendall Trend Analysis of Monthly Water Quality Data |
Sungsue Rheem,
Golde I. Holtzman |
source |
6 |
| SUGI |
1991 |
About JMP 2.0 |
John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman |
source |
6 |
| SUGI |
1991 |
DB2 Performance Management |
Donald T. Gantz,
James M. Thompson |
source |
10 |
| SUGI |
1991 |
Developing Statistical Application Workshops with SAS Software on a PC |
Priscilla Hancock |
source |
2 |
| SUGI |
1991 |
Econometric Modeling of Sweetgum Stem Biomass Using the IML and SYSLIN Procedures |
Bernard R. Parresol,
Charles E. Thomas |
source |
6 |
| SUGI |
1991 |
Fitting Sums of Exponentials Using the Method of Residuals and the NLIN Procedure in SAS Software |
Gail Butler |
source |
6 |
| SUGI |
1991 |
Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution |
Sally Powell |
source |
5 |
| SUGI |
1991 |
Managing Multicollinearity with the SAS System |
Rudolf J. Freund |
source |
9 |
| SUGI |
1991 |
Mixed Models: A Future Direction |
Russell D. Wolfinger,
Randall D. Tobias,
John P. Sall |
source |
9 |
| SUGI |
1991 |
Regression on Medians of Probability Distributions |
Martha R. Sumler,
Henry L. Fisher,
Larry L. Hall |
source |
6 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1991 |
Robust Estimator for Linear Regression |
Ashok Mehta |
source |
7 |
| SUGI |
1991 |
SAS Applications at the Frankfurt University Hospital |
Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt |
source |
5 |
| SUGI |
1991 |
SAS Software Automated IC50 Parameter Estimation with Repeated Measures Data |
Dorene M. Emmrich,
Linda Archer,
Greg Silva,
Charles R. Villarrubia |
source |
3 |
| SUGI |
1991 |
Simple Regression Analysis and Detection of Influential Observations in Censored Data Using SAS Software |
Noor Akma Ibrahim,
Isa Daud |
source |
4 |
| SUGI |
1991 |
Subsetting and Ranking Data Using the DISCRIM Procedure |
Kevin M. Smith |
source |
4 |
| SUGI |
1991 |
System Performance and Capacity Planning Using SAS Software |
Thomas G. Confrey,
Patrick Tierney |
source |
6 |
| SUGI |
1991 |
Testing for Lack of Fit in Regression Using SAS Software |
Julie Wildman-Pepe,
Susan C. Schott |
source |
6 |
| SUGI |
1991 |
The Integration of SAS Software in a Multicentric Tumor Registry |
Harald Pitz,
Hans-Peter Howaldt,
Marcus Frenz |
source |
6 |
| SUGI |
1991 |
The Null Hypothesis and Regression-Based Predictions |
James A. Penny |
source |
4 |
| SUGI |
1991 |
The Techniques to Improve Nonlinear Regression Curve Fit |
Shi-Tao Yeh |
source |
4 |
| SUGI |
1991 |
Using SAS/IML Software in a New Approach to Dealing with Multicollinearity |
Kevin D. Brunson,
Lawrence C. Marsh |
source |
5 |
| SUGI |
1991 |
Using the IML Procedure for Iteratively Reweighted Multiple Linear Regression with a Block-diagonal Covariance Matrix |
Donald H. MacQueen |
source |
5 |
| NESUG |
1990 |
Regression Analysis In The Real World |
Edith Flaster |
|
7 |
| NESUG |
1990 |
Using Statistical Visualization as a Tool in Continuous Process Improvement |
Gregg A. Spindler,
Kalman J. Gyimesi |
|
5 |
| MWSUG |
1990 |
Monte Carlo Analysis of Change Scores |
David J. Mangen |
|
14 |
| SEUGI |
1990 |
CITIDMSP - Citibank's Direct Marketing Software Package |
Akos Felsovalyi |
source |
12 |
| SEUGI |
1990 |
Directions of the SAS System in Statistics and Decision Support |
Gerhard Held |
source |
7 |
| SEUGI |
1990 |
Multivariate Outlier Detection |
Christian Derquenne |
source |
9 |
| SEUGI |
1990 |
Prediciting and Understanding Steam Generator Tubes Lifetime Using SAS Software Survival Procedures |
P. Pittner,
T. Riffard |
source |
8 |
| SEUGI |
1990 |
Robust Estimation of Radio Immuno Assays Using SAS Software |
Hans-Peter Altenburg |
source |
8 |
| SEUGI |
1990 |
SAS/ASSIST Software: A Programmer's View |
Jan Bakker,
Philip J. Winters |
source |
7 |
| SEUGI |
1990 |
The Accuracy of Statistical Software |
F. Pierri,
G. Galmacci |
source |
9 |
| SUGI |
1990 |
A Cross-Reference Listing Program for SAS Software Macros |
Paul A. Thompson |
source |
6 |
| SUGI |
1990 |
A SAS Macro Based System for the Preparation of Data for Comparative Bioavailability Analysis |
Kelly K. Antony,
Laurie T. Elstun |
source |
5 |
| SUGI |
1990 |
A SAS Macro for the Box-Cox Transformation: Estimation and Testing |
Charles B. Hallahan |
source |
6 |
| SUGI |
1990 |
A SAS/AF Procedure Using Regression Analysis to Estimate Remaining Recoverable Petroleum Reserves |
Karen L. Bice,
Kim Wallis,
Bernard Couderc |
source |
6 |
| SUGI |
1990 |
Alternative Methods of Estimating Piecewise Linear and Higher Order Regression Models Using SAS Software |
Lawrence C. Marsh,
Manjula Maudgal,
Jaishankar Raman |
source |
5 |
| SUGI |
1990 |
Alternative Parameterization for Anova Models Using SAS Software |
Robert M. Hamer |
source |
8 |
| SUGI |
1990 |
Analyzing a Regression Model with a General Positive Definite Covariance Matrix with the SAS System |
Gerardo I. Hurtado |
source |
7 |
| SUGI |
1990 |
Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS Software |
Danny L. Kugler,
E. Henry Lee |
source |
6 |
| SUGI |
1990 |
CPU Load Forecasting Using the ARIMA Procedure |
Robert Hubata |
source |
4 |
| SUGI |
1990 |
Developing Release 6.03 SAS/AF Applications as a Statistical Teaching Aid |
L. M. Harschnitz,
Laurie A. Abell |
source |
6 |
| SUGI |
1990 |
Effectively Grappling with Graphics |
Chris Potter |
source |
10 |
| SUGI |
1990 |
Estimating Standard Errors for a Proposed Survey |
Samuel M. Slowinski,
Hank Leddon |
source |
6 |
| SUGI |
1990 |
EVAL: An Application of SAS/ASSIST Software to Forecast Evaluation |
Philip E. Friend,
Linda P. Atkinson |
source |
6 |
| SUGI |
1990 |
JMP Tutoria! |
John P. Sall |
source |
8 |
| SUGI |
1990 |
Menuing Through the SAS System: Version 6 |
Kirk Paul Lafler |
source |
9 |
| SUGI |
1990 |
Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC |
George W. Pasdirtz |
source |
4 |
| SUGI |
1990 |
PERSPECT: Extracting Perspectives from Super-Encoded Data |
Vincent P. Tillman |
source |
5 |
| SUGI |
1990 |
PLOTCORR: A SAS Macro for Appending Correlation and Regression Statistics to the PLOT or GPLOT Procedures |
Erik J. Bergstralh |
source |
4 |
| SUGI |
1990 |
Program to Generate Atkinson's and Resistant Envelopes for Normal Probability Plots of Regression Residuals |
Rafael Flores,
Virginia F. Flack |
source |
8 |
| SUGI |
1990 |
Scientific Workstations and SAS Software: Getting Jobs Completed |
Robert W. Young |
source |
4 |
| SUGI |
1990 |
The SAS System for PCs: Some Speed Surprises |
Richard H. Browne |
source |
10 |
| SUGI |
1990 |
The SAS System for Statistical Graphics - A Preview |
Michael Friendly |
source |
6 |
| SUGI |
1990 |
Transfer Function Model for Gloss Prediction of Coated Aluminum Using the ARIMA Procedure |
Mozammel H. Khan |
source |
6 |
| SUGI |
1990 |
Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association |
Richard F. Haase |
source |
6 |
| SUGI |
1990 |
Using the ADX Menu System for Taguchi Applications in Quality Improvement |
Randall D. Tobias |
source |
15 |
| NESUG |
1989 |
Adjusting Time Series Data |
Jim Wimbish |
|
9 |
| SEUGI |
1989 |
A Bioassay Method Using SAS/STAT Software |
C. M Fenton,
P. Blood |
source |
12 |
| SEUGI |
1989 |
A SAS Procedure For Evaluating Inulin Clearance Data |
Norbert Gretz |
source |
10 |
| SEUGI |
1989 |
HyTAO - An Expert System For Statistical Data Processing |
Markku Korhonen |
source |
13 |
| SEUGI |
1989 |
PRIMSTAT, A Menu-Driven System For Information Retrieval Using SAS/AF Software |
Esbjorn Lindhoff |
source |
19 |
| SUGI |
1989 |
A Class of Highly Efficient Resistant and Robust Estimators for Simple Linear Regression for Use with the SAS System |
Evelyn A. Adler |
source |
6 |
| SUGI |
1989 |
A Concise and Easily Interpretable Way of Presenting the Results of Regression Analyses |
Stephen Senzer,
Leland Stewart |
source |
4 |
| SUGI |
1989 |
An Evaluation of Residuals for the Cox Model |
William E. Barlow,
Shan-Pin Fanchiang |
source |
6 |
| SUGI |
1989 |
Analysis of Covariance: Multiple Covariates |
George A. Milliken |
source |
10 |
| SUGI |
1989 |
Automated Analysis of Linear-Plateau Models |
Damon Disch |
source |
6 |
| SUGI |
1989 |
Balanced Design Estimation |
Gordana Jelisavcic |
source |
4 |
| SUGI |
1989 |
Confounding of Effects in Equal n Designs: Factorial ANCOVA |
Scott E. Maxwell,
Harold D. Delaney |
source |
6 |
| SUGI |
1989 |
Determination of Polynomial Sums-of-Squares Contrast Coefficients: An Application of Model Reparametrization Results Using the GLM Procedure |
Donna O. Fulenwider,
Daniel R. Jeske |
source |
4 |
| SUGI |
1989 |
Development of a Departmental Interactive Menuing System Using SAS/AF Software and the Screen Control Language |
Denis LeBrun |
source |
5 |
| SUGI |
1989 |
Discriminant Diagnostics |
Peter A. Lachenbruch,
Yong-Xiao Wang |
source |
6 |
| SUGI |
1989 |
Effectively Grappling with Graphics |
Chris Potter |
source |
10 |
| SUGI |
1989 |
Estimating Stochastic Coefficient Models with the SAS System |
Charles B. Hallahan |
source |
6 |
| SUGI |
1989 |
Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure |
Frank E. Harrell Jr.,
James E. Herndon II |
source |
6 |
| SUGI |
1989 |
Field Reliability Assessment Using the Proportional Hazards Model |
Stephen Freitas,
Raymond V. Spring |
source |
5 |
| SUGI |
1989 |
Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC |
Gary William Carr,
Gerald Tlapa |
source |
8 |
| SUGI |
1989 |
How to Establish a Forecasting System with SASSoftware |
Joel Fingerman |
source |
10 |
| SUGI |
1989 |
Illustrating Confidence Intervals Using SAS Software |
Julie Wildman-Pepe |
source |
6 |
| SUGI |
1989 |
Monotone Regression Utilizing Ranks |
William Jay Conover,
Ronald L. Iman |
source |
3 |
| SUGI |
1989 |
Most Creative Use of the Software-Monochrome |
Leslie Worf |
source |
116 |
| SUGI |
1989 |
Nonlinear Regression Analysis of a Biexponential Model Using Various Methods of the NLIN Procedure of SAS Software |
J. Paul Costiloe,
Andrew J. Cucchiara,
R. B. Deal Jr.,
Susan J. Kenny |
source |
6 |
| SUGI |
1989 |
SAS/ASSIST' Software: Bringing the Power of the SAS System to the User |
Brenda Erickson,
Tammy L. Gagliano,
Gail Kramer,
Katherine J. Roggenkamp |
source |
6 |
| SUGI |
1989 |
The Application of Base SAS, SAS/STAT, and SAS/GRAPH Software to the Analysis and Presentation of Pharmacokinetic Data |
Philip H. Schwartz |
source |
5 |
| SUGI |
1989 |
The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design |
David Yu-Wu Pee,
Sholom Wacholder |
source |
6 |
| SUGI |
1989 |
The Statistical-Model Toolbox: A SAS Macro System |
David S. Frankel |
source |
6 |
| SUGI |
1989 |
Unbalanced Factorial Data and Hypothesis Testing |
Robert E. Johnson |
source |
|
| SUGI |
1989 |
Weighted Multicollinearity Diagnostics for Logistic Regression |
Brian D. Marx,
Eric P. Smith |
source |
6 |
| SUGI |
1989 |
What Does R2 Measure? |
Steven F. Thomson |
source |
4 |
| SEUGI |
1988 |
An Iterative Weighting Procedure for Regression of Area Mortality Rate son Explanatory Variables |
Claudia Spix |
source |
6 |
| SEUGI |
1988 |
Automatic Analysis of Clinical Trials |
J. C. Peyrieux |
source |
6 |
| SEUGI |
1988 |
Confidence Regions for Non-Linear Regression |
Graham Healy |
source |
8 |
| SEUGI |
1988 |
Future Developments in Psychometric and Market Rsearch Procedures |
Gerhard Held |
source |
9 |
| SEUGI |
1988 |
Future Statistical Directions of the SAS System |
Gerhard Held |
source |
9 |
| SEUGI |
1988 |
Kabivitrum Security Dept Administrative System - A SAS/DMI and SAS/SHARE Application |
Rein Maasing |
source |
17 |
| SEUGI |
1988 |
New Developments in Psychometric and Market Research Procedures |
Gerhard Held |
source |
5 |
| SEUGI |
1988 |
New Features in the REG Procedure for Version 6 |
Birger Madsen |
source |
6 |
| SUGI |
1988 |
A Multivariate Approach to Social Inequality |
Martin G. Ribe |
source |
6 |
| SUGI |
1988 |
A SAS/IML Software Macro for Testing Non-Nested Regression Models |
Laura L. Bauer,
Oral Capps Jr.,
Eric P. Smith |
source |
6 |
| SUGI |
1988 |
An Expert System Interface |
Julie A. Elston,
David J. Purdon |
source |
5 |
| SUGI |
1988 |
An Imputation System for a Large-Scale Survey |
Eugene M. Burns,
Doug Valcour |
source |
6 |
| SUGI |
1988 |
An Intelligent Interface to the SAS System for Use by Product Development Engineers |
Debra D. Spencer |
source |
6 |
| SUGI |
1988 |
Cubic Spline Smoothing: A Useful Tool for Curve Estimation |
Mark S. DeHaan |
source |
6 |
| SUGI |
1988 |
Detection of Influential Observations in Logistic Regression Using the SAS System |
Charles S. Davis |
source |
6 |
| SUGI |
1988 |
Estimating Logistic Regression Models When the Dependent Variable Has No Variance |
Nicholas Scott Cardell,
Dan Steinberg |
source |
2 |
| SUGI |
1988 |
Extending the SAS System on Microcomputers with SAS/IML Software, the Interactive Matrix Language |
Linda P. Atkinson |
source |
10 |
| SUGI |
1988 |
Generalized Least Squares Regression with Partially Correlated Data |
Andrew J. R. Gillespie |
source |
4 |
| SUGI |
1988 |
Logit Models for Ordered Categorical Response Data |
Alan Agresti |
source |
9 |
| SUGI |
1988 |
New Developments in Pyschometric and Market Research Procedures |
Warren F. Kuhfeld,
Forrest W. Young |
source |
5 |
| SUGI |
1988 |
New Features in the REG Procedure for Version 6 |
Sandra D. Schlotzhauer |
source |
6 |
| SUGI |
1988 |
On-Line Access to the SAS Sample Library, Usage Notes, and Tutorials in VM/CMS |
Gonzalo R. Garriga,
William G. LeBlanc,
Robert M. Syren |
source |
5 |
| SUGI |
1988 |
Partial Proportional Odds Models and the LOGIST Procedure |
Frank E. Harrell Jr.,
Bercedis L. Peterson |
source |
5 |
| SUGI |
1988 |
Plotting beyond Defaults |
Chris Potter |
source |
9 |
| SUGI |
1988 |
Regression and the SAS System: An Overview |
Rudolf J. Freund |
source |
9 |
| SUGI |
1988 |
Robust Estimation Using SAS Software |
Will A. Sullivan,
Liangg Yuh |
source |
6 |
| SUGI |
1988 |
STRATRAN: Stratified Random Selection of Controls for Matched Case-Control Data (A MCSTRAT Preprocessor) |
Henry A. Anderson,
Jerry Burns,
Lawrence P. Hanrahan,
Joseph Olson |
source |
5 |
| SUGI |
1988 |
The Influence of Economic Variables on Seminary Participation: A SAS/ETS Application |
Archie J. Calise,
Joseph E. Earley |
source |
5 |
| SUGI |
1988 |
The TVA Waterborne Commerce Economic Simulation Model: Overview and Application |
Larry G. Bray,
Reba L. Copeland |
source |
4 |
| SUGI |
1988 |
Use of the SAS System in an Undergraduate Course on Statistical Packages at the University of Central Florida |
Thian S. Kheoh,
Dale F. Kraemer,
Julie Wildman-Pepe |
source |
3 |
| SUGI |
1988 |
Using SAS/STAT Software's REG Procedure to Develop Sales Tax Audit Selection Models |
Kirk L. Johnson,
Richard W. Kulp |
source |
6 |
| SUGI |
1988 |
Using the NLIN Procedure to Fit Segmented Regression Models: A Tutorial |
George A. Milliken |
source |
10 |
| SUGI |
1988 |
Using the SAS System to Assess Local Influence in Regression Analysis with Censored Data |
Luis A. Escobar,
William Q. Meeker Jr. |
source |
6 |
| SUGI |
1988 |
Workload and Revenue Projection for Computer Center Cost Recovery Systems |
Tim Carrico,
Nada Harris |
source |
9 |
| SEUGI |
1987 |
A Statistical Look at Risk Factors for Coronary Heart Disease |
David J. Shannon |
source |
15 |
| SEUGI |
1987 |
Economically Active Population Estimates and Projections, 1950-2025 |
B. Binesh Aghevli,
C. Gerlier |
source |
16 |
| SEUGI |
1987 |
Tutorial on PROC REG |
Gerhard Held |
source |
39 |
| SUGI |
1987 |
A SAS Macro for Estimating Missing Values in Multivariate Data |
Gina M. Capalbo,
James S. Roberts |
source |
3 |
| SUGI |
1987 |
Application of Intervention Analysis to Power Plant Monitoring Data |
Linda E. Bireley |
source |
9 |
| SUGI |
1987 |
Beyond Default Colors: Introduction to Customizing Graphics Output |
Janet Lasher |
source |
4 |
| SUGI |
1987 |
Comparison of Four Univariate Methods for Forecasting Seasonal Data by the SAS System |
Jeffrey Jarrett |
source |
5 |
| SUGI |
1987 |
Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations |
Herbert Hamilton |
source |
6 |
| SUGI |
1987 |
Experiences with Teaching Experimental Design Using the SAS System for Personal Computers |
Robert A. McLean,
Richard D. Sanders |
source |
8 |
| SUGI |
1987 |
Graphic Display of Data in Clinical Trials |
Walter W. Owen Jr. |
source |
6 |
| SUGI |
1987 |
Graphical Methods for the Analysis of Survival Data |
Frank E. Harrell Jr.,
Kerry L. Lee,
Barbara G. Pollock |
source |
9 |
| SUGI |
1987 |
High-Performance Graphics for Exploring Multivariate Data |
Harold W. Gugel,
C. Ming Wang |
source |
8 |
| SUGI |
1987 |
Interpretation and Diagnostics of the Multinomial Logistic Regression |
Dan Steinberg |
source |
6 |
| SUGI |
1987 |
The Bayesian Estimation of Linear Models: An Application of the Lindley-Smith Hyperparameter Model |
Dennis J. Aigner,
Joseph G. Hirschberg |
source |
6 |
| SUGI |
1987 |
Time Series Intervention Analysis Using SAS Software |
Terry J. Woodfield |
source |
9 |
| SUGI |
1987 |
Transfer Functions using PROC ARIMA |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1987 |
Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software |
Thomas B. Fomby,
Joseph G. Hirschberg |
source |
6 |
| SUGI |
1987 |
Use of SAS Procedures for Estimating Design Based Logistic Regression Variances by Balanced Repeated Replication (BRR) |
Daniel H. Freeman Jr.,
Philip J. Leaf,
Martha Livingston Bruce |
source |
5 |
| SUGI |
1987 |
Using PROC NLIN to Develop Capture Ratios |
Lynn Chapman |
source |
8 |
| SUGI |
1987 |
Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables |
Ralph F. Catalanello,
Bruce W. Eagle |
source |
6 |
| SEUGI |
1986 |
Computer Metrics Measuring and Managing the Performance, Resourses, and Costs of Large Computer Systems |
H. W. Barry Merrill |
source |
33 |
| SEUGI |
1986 |
Isotonic Regression |
Arne Ran,
Bengt Johansson |
source |
10 |
| SEUGI |
1986 |
SAS Macro "Meta" for Combining Independent Eestimators for Effect Size |
Efraim Daron |
source |
12 |
| SEUGI |
1986 |
SAS/STAT Software on the IBM PC under PC DOS |
Gerhard Held |
source |
12 |
| SUGI |
1986 |
A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data |
Kenneth O. Story,
Edward F. Vonesh |
source |
6 |
| SUGI |
1986 |
A Macro Library for Classical and Robust Multivariate Modeling |
Kathryn S. Fletcher,
E. James Harner |
source |
3 |
| SUGI |
1986 |
A Macro-driven Forecasting System for Evaluating Forecast Model Performance |
Bryan Sellers |
source |
5 |
| SUGI |
1986 |
Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures |
Mary Lynn Spada |
source |
4 |
| SUGI |
1986 |
Checking for Autocorrelation in Regression Residuals |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1986 |
Comparing Parameter Estimates Between Linear Models |
John E. Teberg |
source |
7 |
| SUGI |
1986 |
DESRA-An Experimenter's Assistant |
Earl R. Westerlund |
source |
6 |
| SUGI |
1986 |
Generalized Information Requirements of Intelligent Decision-Making Systems |
Paul J. Werbos |
source |
7 |
| SUGI |
1986 |
Interfacing SAS Software with the B34S System Recursive Residual Option: A Brief Look at Theory and an Example |
Houston H. Stokes |
source |
6 |
| SUGI |
1986 |
Mirror, Mirror on the Wall: A SAS Software Methodology for Plotting Corporate Image |
Luanne M. Conley |
source |
5 |
| SUGI |
1986 |
New Developments in Alternating Least-Squares SAS Procedures |
Thomas C. Edds,
Douglas P. Kent,
Warren F. Kuhfeld,
Forrest W. Young |
source |
6 |
| SUGI |
1986 |
Performing the X1 1ARIMA Seasonal Adjustment |
John C. Brocklebank,
David A. Dickey |
source |
10 |
| SUGI |
1986 |
Spline Functions for Logistic Regression Modeling |
Thomas F. Devlin,
Barbara J. Weeks |
source |
6 |
| SUGI |
1986 |
The Curriculum Approach: Selecting Training Paths for All Users |
Jean Ussery |
source |
4 |
| SUGI |
1986 |
The Effect of Centering on the Condition Number of Polynomial Regression Models |
Robert B. Bendel |
source |
5 |
| SUGI |
1986 |
Use and Misuse of PROC GLM |
Rudolf J. Freund |
source |
2 |
| SUGI |
1986 |
Use of SAS Software to Forecast Claims |
R. Choudary Hanumara,
Michael Salzillo |
source |
6 |
| SUGI |
1986 |
Using PROC NLIN for Time Series Prediction |
Wayne Fuller |
source |
6 |
| SUGI |
1986 |
Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments |
Joanne R. Wendelberger |
source |
6 |
| SUGI |
1986 |
Using SAS Software to Generate Leave-One-Out Hit Rate Estimates for Group Classification |
Cathy A. Stawarski,
Joseph M. Wisenbaker |
source |
6 |
| SUGI |
1986 |
Variable Selection and Case Analysis in Regression |
Gerald R. Hobbs |
source |
6 |
| SUGI |
1986 |
Verifying Assumptions of the Cox Proportional Hazards Model |
Frank E. Harrell Jr.,
Kerry L. Lee |
source |
6 |
| SUGI |
1986 |
Weighted Ridge Estimation in a Collective Bargaining Context |
Teresa Ghilarducci,
Lawrence C. Marsh |
source |
6 |
| SUGI |
1986 |
What's New? SAS, Institute Training in 1986 |
Herbert J. Kirk |
source |
5 |
| SEUGI |
1985 |
A User-Friendly Application System Based on the SAS System |
Franz Lasinger |
source |
8 |
| SEUGI |
1985 |
New Features of the SAS/ETS and SAS/OR Software in Version 5 |
John C. Brocklebank |
source |
37 |
| SEUGI |
1985 |
Regression Analysis and other SAS Procedures for Assessing Credit Risk |
Raxa Vaid |
source |
10 |
| SEUGI |
1985 |
Test Procedures for Model Selection and Model Validation |
Wil Velding |
source |
23 |
| SUGI |
1985 |
A SAS Macro for Logistic Discrimination for Three or More Populations |
James E. Dunn,
Eileen C. King |
source |
6 |
| SUGI |
1985 |
A SAS Procedure for Smoothing Generalized Linear Models |
William J. Raynor Jr. |
source |
6 |
| SUGI |
1985 |
A Tests Result Trend Analysis System Using SAS/GRAPH Software |
Susan S. Duckworth |
source |
6 |
| SUGI |
1985 |
A Time Series Approach to Modeling Daily Peak Electricity Demands |
Michael F. Jacob |
source |
6 |
| SUGI |
1985 |
Application of the SAS System to Regression Analysis of Tumor Prevalence Data |
Saeid B. Amini,
Debra L. Palka |
source |
7 |
| SUGI |
1985 |
Applications in Bayesian Analysis |
Arnold Zellner |
source |
7 |
| SUGI |
1985 |
Bounded Influence Regression Using SAS Software |
David Giltinan |
source |
6 |
| SUGI |
1985 |
Changes and Enhancements to SAS/ETSSoftware |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
12 |
| SUGI |
1985 |
Comparison of Multivariate Regression Analysis between Logistic Model and the Least Square Model Using SAS Software |
Jane R. Bratz,
J.S. Kim,
George K. Tokuhata |
source |
4 |
| SUGI |
1985 |
Conditional Logistic Regression in SAS Software |
Gregg A. Drube,
Dale F. Kraemer,
Stephanie Van Lier |
source |
7 |
| SUGI |
1985 |
MACRO LGTREG for Logistic Regression and Associated Diagnostics |
Thomas F. Devlin,
Barbara J. Weeks |
source |
6 |
| SUGI |
1985 |
Non parametric Sequential Trend Test |
Young C. Park |
source |
5 |
| SUGI |
1985 |
Performance Analysis of Superheater Data from an Operating Nuclear Reactor |
Kenny C. Gross,
B.R. Seidel |
source |
6 |
| SUGI |
1985 |
Practical Capacity Planning at the Automobile Club of Southern California |
Jason G. Shane |
source |
5 |
| SUGI |
1985 |
PROC PECAN - A SAS Procedure |
Sivaram Kalyandrug,
Jay H. Lubin |
source |
8 |
| SUGI |
1985 |
PROVAL-An Automated Method for Evaluating Trade and Consumer Promotions for Package Goods Industries |
Ambar G. Rao,
Ross Dennis,
Douglas Grady |
source |
5 |
| SUGI |
1985 |
RAGS: An Interactive SAS, IDMS, and FORTRAN Tool for Regression Analysis |
Brent L. Peterson |
source |
5 |
| SUGI |
1985 |
Regression and Diagnostics |
Gerald R. Hobbs |
source |
8 |
| SUGI |
1985 |
Repeated Measures in Nonlinear Models |
Ronald W. Helms,
Keith E. Muller |
source |
5 |
| SUGI |
1985 |
SAS Macros for Bootstrapping and Cross Validating Regression Equations |
Richard T. Carson |
source |
6 |
| SUGI |
1985 |
Taking MDS Beyond Similarity Data |
J.O. Ramsay |
source |
7 |
| SUGI |
1985 |
The Practical Value of Logistic Regression |
Frank E. Harrell Jr.,
Kerry L. Lee |
source |
6 |
| SUGI |
1985 |
The SAS Biostatistical Workbook: Bridging the Gaps Between Statistical Methods, Statistical Applications, and Statistical Computing |
David A. Ludwig |
source |
6 |
| SUGI |
1985 |
Using SAS Software to Estimate and Plot a Regression Line and Confidence Band in Multiple Treatment Linear Regression |
Howard Hait |
source |
6 |
| SEUGI |
1984 |
A Workload Analysis and Forecasting Study |
Carlo Grandi |
source |
25 |
| SEUGI |
1984 |
New Statistical Features in SAS |
Gerhard Held |
source |
13 |
| SEUGI |
1984 |
Progression of Chronic Renal Failure |
M. Strauch,
N. Gretz |
source |
8 |
| SEUGI |
1984 |
Solving Statistical Problems Using SAS and TPL Together |
Manuel Angel Santos,
Teofilo Valdes |
source |
7 |
| SUGI |
1984 |
A General Woolf-Haldane/Mantel-Haenszel Procedure for Dichotomous or Polychotomous Exposure Variables and for Any Number of Stratification/Control Variables |
Philip N. Gallagher Jr.,
William M. Haenszel |
source |
3 |
| SUGI |
1984 |
A Hierarchical Approach to Daily Stock Market Forecasting |
Heydar Pourian |
source |
6 |
| SUGI |
1984 |
A Macro for Fitting Nonlinear Models to Poisson Distributed Data |
Edward L. Frome,
Richard W. McLain |
source |
6 |
| SUGI |
1984 |
An M-Population Covariance Stabilization: PROC VARSTB |
James E. Dunn,
Mike Zodrow |
source |
6 |
| SUGI |
1984 |
Analysis of Covariance-Models, Strategies and Interpretations |
George A. Milliken |
source |
10 |
| SUGI |
1984 |
Applications of Computer Cartography for Marketing Research and Corporate Planning |
Vince Bartle,
John G. Blodgett,
Marius Janson,
L. Douglas Smith |
source |
|
| SUGI |
1984 |
BESTREG: A Procedure for Computing "BEST "Regression Subsets |
Harold W. Gugel |
source |
6 |
| SUGI |
1984 |
Changes and Enhancements to SAS/ETS Procedures |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
6 |
| SUGI |
1984 |
Developing A Computer Cost Distribution Method Using the MICS Data Base |
Anne N. Bluth,
Jean L. Waits |
source |
6 |
| SUGI |
1984 |
Graphic Representation of Logistic Regression Models |
John K. Gohagan,
Donald G. Sessions,
Edward L. Spitznagel |
source |
4 |
| SUGI |
1984 |
How the SAS System is Used by Division of Cardiovascular Surgery at Toronto General Hospital |
R. J. Baird,
B. S. Goldman,
E. J. Kuzin,
L. L. Mickleborough,
H. E. Scully,
Cathy P. Tong,
R.D. Weisel |
source |
2 |
| SUGI |
1984 |
Logistic Regression and Associated Diagnostics using PROC MATRIX |
Thomas F. Devlin |
source |
6 |
| SUGI |
1984 |
New SAS Survival Procedures |
David M. DeLong |
source |
3 |
| SUGI |
1984 |
Panel Discussion of SAS Users Under the VMS Operating System |
Louise Horny,
Kevin Mallory,
Gerald Perry,
Brad Reese |
source |
7 |
| SUGI |
1984 |
PROC JACKREG-A SAS Procedure for Jackknife Regression |
Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs |
source |
6 |
| SUGI |
1984 |
Proposed U.S. Passenger Car and Light Truck Sales Forecast Model |
John Janakiraman,
Stuart J. Olson Jr. |
source |
5 |
| SUGI |
1984 |
REPREG: A Repeated Measures Regression Program |
Randy L. Carter,
James T. Love |
source |
6 |
| SUGI |
1984 |
SAS Applications to a Spring Wheat and Sunflower Yield Modeling Project |
Paul G. Held,
James Knuteson,
D. Patterson,
Michael Ulmer |
source |
4 |
| SUGI |
1984 |
SAS Methods for the Rank Regression Model with Missing Values |
R. Michael Rubison,
Michael K. Thran |
source |
5 |
| SUGI |
1984 |
Stagewise Experimental Design Techniques for Nonlinear Models |
Thomas J. Bzik |
source |
9 |
| SUGI |
1984 |
The SAS System and the Microcomputer |
P. L. Olympia |
source |
5 |
| SUGI |
1984 |
Use of SAS Software for Trend and Sequential Trend Test Analysis |
Thomas P. Capizzi,
Hina Mehta,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1984 |
Using SAS Procedures to Examine Monthly Levels of Industrial Natural Gas Sales |
John H. Herbert |
source |
4 |
| SEUGI |
1983 |
Analysis of Survey Data from a Soda Ash Lake |
Gordon Thackray |
|
6 |
| SEUGI |
1983 |
Graphical Methods and Regression Diagnostics |
Thore Langeland |
|
21 |
| SEUGI |
1983 |
SAS as part of a Marketing Information System |
Peter Buete |
|
16 |
| SEUGI |
1983 |
Use of SAS Regression Techniques for Capacity Planning |
E. M. McCall |
|
9 |
| SUGI |
1983 |
A Bibliographic Citation System for CMS SAS |
John R. Gleason |
source |
3 |
| SUGI |
1983 |
A Capacity-costing Methodology |
Michael Zambruski |
source |
10 |
| SUGI |
1983 |
A Multi-Evaluative Approach to the Analysis of Clinical Laboratory Data |
William A.T. Archambault Jr.,
James J. Tiede |
source |
6 |
| SUGI |
1983 |
A Note on Using PROC NLIN for Function Optimization |
Marvin D. Troutt |
source |
2 |
| SUGI |
1983 |
A Procedure for Estimating Parameters in Nonlinear Random Models |
Paulette Johnson,
George A. Milliken |
source |
4 |
| SUGI |
1983 |
Analysis of Covariance Using SAS GLM |
Shayle R. Searle |
source |
10 |
| SUGI |
1983 |
Analyzing Analysis of Covariance Models in Repeated Measures Designs Using SAS |
James E. Laughlin,
James S. Roberts |
source |
4 |
| SUGI |
1983 |
Analyzing Congressional Career Patterns Using SAS |
Robert G. Brookshire,
Claudia C. Putnam |
source |
7 |
| SUGI |
1983 |
Conditional Logit Analysis for Case Control or Employment Discrimination Studies |
Timothy Wyant |
source |
5 |
| SUGI |
1983 |
Demographic and Economic Information Applied to Business Decision Making |
Garry S. Meyer |
source |
8 |
| SUGI |
1983 |
Missing Events in Survival Analysis |
Peter A. Lachenbruch,
Robert F. Woolson |
source |
6 |
| SUGI |
1983 |
Multi-Time-Period NLIN Regression |
William J. Harrison |
source |
|
| SUGI |
1983 |
Offense, Defense, and Causality in Baseball |
Charles F. Hofacker |
source |
5 |
| SUGI |
1983 |
On Estimating Spline Regressions |
Lawrence C. Marsh |
source |
|
| SUGI |
1983 |
Overview of Categorical Data Analysis Methods |
Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1983 |
PROC MATRIX as an Instructional Tool in a Multivariate Statistics Course for Social Scientists |
Robert S. Barcikowski,
Randall R. Robey |
source |
6 |
| SUGI |
1983 |
PROC MCSTRAT |
Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord |
source |
8 |
| SUGI |
1983 |
Robust Regression and PROC JACKREGR |
Daniel M. Chilko,
Gerald R. Hobbs |
source |
|
| SUGI |
1983 |
SAS/ETS: What Isn't and What Could Be |
Robert P. Parks |
source |
6 |
| SUGI |
1983 |
Software for Statistical Graphics-An Overview |
Patricia M. Caporal,
C.J. Hahn |
source |
10 |
| SUGI |
1983 |
Successful Statistical Consulting |
Douglas C. Montgomery |
source |
4 |
| SUGI |
1983 |
Testing Fourier Terms in Periodic Regressions |
John Jay Hilfiger |
source |
4 |
| SUGI |
1983 |
The Development and Implementation of a Complete Forecasting System Entirely within SAS |
D. Benoit Sorhaindo,
U.V. Subba-Rao,
R. Suhir |
source |
4 |
| SUGI |
1983 |
The Use of Rank Analysis of Covariance in Analyzing Censored Survival Data |
Saeid B. Amini,
Peter A. Lachenbruch,
Robert F. Woolson |
source |
7 |
| SUGI |
1983 |
Treating Multicollinearity with SAS |
William J. Wilson |
source |
6 |
| SUGI |
1983 |
Urban Spatial Structure and Gasoline Consumption |
Robert M. Ray |
source |
6 |
| SUGI |
1983 |
Using and InterpretingARIMA, X11, FORECAST, andSTATESPACE |
John C. Brocklebank |
source |
8 |
| SUGI |
1983 |
Using PROC REG to Analyze Mixture Experiments |
Mark E. Showers |
source |
4 |
| SUGI |
1983 |
Variance Estimation from Multi-Stage Sample Survey Data: The Jackknife Repeated Replicate Approach |
William D. Kalsbeek,
James Rochon |
source |
6 |
| SUGI |
1982 |
A Comparison of Procedures for the Classification of Multivariate Observations |
Cathryn Gust,
Rebecca Klemm |
source |
4 |
| SUGI |
1982 |
A General Linear Models Approach for Comparing the Response of Several Species in Acute Toxicity Tests |
Karen L. Daniels,
Michael P. Farrell,
Jonathan C. Goyert,
Rodney H. Strand |
source |
6 |
| SUGI |
1982 |
A Pharmacokinetic Analysis System (PAS) |
Raymond P. Chen,
Daniel M. Wildman |
source |
|
| SUGI |
1982 |
Applications of SAS (FUNCAT) to the Analysis of Epidemiological/Survivorship Data |
Saeid B. Amini,
William R. Clarke,
Robert F. Woolson |
source |
9 |
| SUGI |
1982 |
Approaches to Estimating Covariance Matrices with Partial Multinomial Data |
Mark W. Riggs,
W.B. Smith |
source |
10 |
| SUGI |
1982 |
Basic Time Series Tools for Business Forecasting |
Mary Sue Dickerson,
Franklin S. Young |
source |
6 |
| SUGI |
1982 |
Curriculum Approach to SAS Training |
Herbert J. Kirk |
source |
3 |
| SUGI |
1982 |
Effective Applications of SAS Procedures to Facilitate Transportation Planning |
Howard McKamey,
Robert E. Stammer Jr. |
source |
5 |
| SUGI |
1982 |
Evaluating Linear Model Representations of Cubic Splines Using PROC REG |
Thomas P. Capizzi,
Hina Mehta |
source |
6 |
| SUGI |
1982 |
Four Topics in Statistics |
Rudolf J. Freund |
source |
8 |
| SUGI |
1982 |
Influential Cases and Transformations |
R. Dennis Cook,
Sanford Weisberg |
source |
6 |
| SUGI |
1982 |
Iowa Survey of Dental Health: Stepwise Regression Results |
J.D. Beck,
J. Jakobsen,
B. Townsend |
source |
5 |
| SUGI |
1982 |
Linear Models with Dominant Variables |
Peter S. Lufkin |
source |
6 |
| SUGI |
1982 |
Multidimensional Scaling by Least Squares |
Cynthia H. Null,
Warren S. Sarle |
source |
8 |
| SUGI |
1982 |
New Time Series Features in SAS |
David M. DeLong |
source |
3 |
| SUGI |
1982 |
SPSS MANOVA and BMDP4V for SAS GLM Users |
Kenneth N. Berk |
source |
5 |
| SUGI |
1982 |
Strategic Analysis for Commodity Hedging |
Ross Dennis,
Nelson M. Fraiman,
Murray Mohl |
source |
9 |
| SUGI |
1982 |
The Analysis of Ecological Survey Data with SAS and EAP |
Robert W. Smith |
source |
|
| SUGI |
1982 |
Using SAS for Box-Cox Transformation in Regression Analysis |
Ollie Frazier,
Deepak A. Keshani |
source |
6 |
| SUGI |
1982 |
Using Spline Functions and the Bootstrap to Fit Differential Equation Models to Data |
Thomas P. Capizzi,
Robert D. Small |
source |
6 |
| SUGI |
1982 |
Weibull Regression and Hazard Estimation |
Jan M. Hanley,
William H. Rogers |
source |
11 |
| SUGI |
1981 |
A Comparison of Several Approaches for Calculating LC50s for Binary Responses from Toxicological Experiments |
Charles M. Bundrick,
Jerry L. Oglesby |
source |
8 |
| SUGI |
1981 |
A Triad of SAS Macros to Capture the Output from PROC GLM |
Roger S. Cohen |
source |
6 |
| SUGI |
1981 |
Asymmetry and Regression |
Philip Harris Monchar |
source |
5 |
| SUGI |
1981 |
Diagnostic Techniques in Multiple Linear Regression Using PROC MATRIX |
Ronald R. Hocking,
O. J. Pendleton |
source |
7 |
| SUGI |
1981 |
Estimating the Parameters of the Michaelis-Menten Equation Using SAS |
Thomas P. Capizzi,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1981 |
Estimation of Fixed Effects in Mixed Models with Unbalanced Data |
Walter R. Harvey |
source |
7 |
| SUGI |
1981 |
Experience of Applying SAS in Engineering Analysis and Design |
Rhyn H. Kim |
source |
|
| SUGI |
1981 |
How to Use SAS for ANOVA of Mixture Problems |
Mark L. Tiede |
source |
7 |
| SUGI |
1981 |
Influential Data Diagnostics and Model Building Techniques Applied to an Air Pollution and Mortality Analysis |
Diane I. Gibbons,
Gary C. McDonald |
source |
|
| SUGI |
1981 |
Multiple Comparisons for Fixed Effects in Mixed Models |
Gary Regula,
Judah Rosenblatt |
source |
5 |
| SUGI |
1981 |
Parameter Estimation, Hypothesis Testing and Coding |
Chip Kaliher |
source |
|
| SUGI |
1981 |
Path Analysis: A Multivariate Technique |
Margaret A. Chmielewski |
source |
|
| SUGI |
1981 |
Path Analytic Models in Human Quantitative Genetics |
C. Robert Cloninger,
J. Philip Miller,
John Rice |
source |
6 |
| SUGI |
1981 |
Robust Modeling of Data Using PROC MATRIX |
Anthony A. Billings,
E. James Harner,
Ronald D.King |
source |
|
| SUGI |
1981 |
SAS as a Pedagogical Tool in Corporate Management Training |
Nelson M. Fraiman,
Murray Mohl |
source |
4 |
| SUGI |
1981 |
SAS Outlier Macros: A Banking Problem |
James A. Calloway,
William L. Seaver |
source |
5 |
| SUGI |
1981 |
SASTRAK: A Capacity Planning/ Resource Management System |
Malcolm E McClain |
source |
3 |
| SUGI |
1981 |
Some Real-Data Examples for Teaching Analysis for Experimental Designs |
Kaye H. Fendt,
Ronald W. Helms |
source |
7 |
| SUGI |
1981 |
STATAN, a Conversational Interface to Facilitate SAS Usage or It Pays To Get Your SAS in Gear |
Anne M.Parkhurst |
source |
|
| SUGI |
1981 |
The Implementation of SAS via SUPERWYLBUR at Air Products and Chemicals, Inc . |
Thomas J. Bzik,
T. J. Cenna |
source |
5 |
| SUGI |
1981 |
The Use of Least Squares Splines and Jackknifing in Area Estimation |
Thomas P. Capizzi,
Hina Mehta,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1980 |
A SAS Macro for Evaluation of Regression Experimental Designs |
Paul J. Von Doehren |
source |
|
| SUGI |
1980 |
An Overview of Survival Analysis and SAS |
Irving K. Hwang |
source |
|
| SUGI |
1980 |
Examples of GLM Applications |
Ramon C. Littell |
source |
7 |
| SUGI |
1980 |
Formatted Displays Using Output from PROC SYSREG |
M. W. Harrell,
P. A. Reid |
source |
5 |
| SUGI |
1980 |
Jacknife Techniques in Regression Analysis |
Anthony A. Billings,
Daniel M. Chilko,
Gerald R. Hobbs,
Paul Hshieh,
Ronald D.King |
source |
5 |
| SUGI |
1980 |
MRR: A New Approach to Ridge Regression Using SAS |
T. Janakiraman,
Lawrence C. Marsh |
source |
5 |
| SUGI |
1980 |
n Annotated Guide to the Analysis of Linear Models Using SAS |
Rudolf J. Freund,
Ramon C. Littell |
source |
6 |
| SUGI |
1980 |
Pre-programmed Routines for an Applied Linear Models Course |
James A. Calloway,
William L. Seaver |
source |
6 |
| SUGI |
1980 |
Procedures for Large Regression Problems Requiring Maximum Likelihood Estimation |
Frank E. Harrell Jr.,
Kerry L. Lee,
Ray A. McKinnis |
source |
4 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
Regression with Linear Splines and Plateaus |
Samuel G. Carmer,
Wen T. Hsieh,
William M. Walker |
source |
|
| SUGI |
1980 |
Slope Ratio Bioassay Using SAS |
Janet E. Field,
Rudolph S. Parrish,
Glenn O. Ware |
source |
|
| SUGI |
1980 |
The Storage and Display of Geographical Information Using SAS |
Kenneth A. Hardy,
James D. Hosking,
Grady B. Meehan |
source |
4 |
| SUGI |
1980 |
The Use of a Linear Spline Model in the Analysis of a Repeated Measures Experiment Through SAS |
Rocco L. Brunelle,
David W. Johnson |
source |
5 |
| SUGI |
1980 |
Threshold Point Models: A SAS Macro for Estimation of Parameters |
George A. Milliken,
Jeanne L. Sebaugh |
source |
6 |
| SUGI |
1979 |
A SAS Macro for a Distribution-free Test for the Parallelism of Two Regression Lines |
Sandra Novinger,
Robert Rogers |
source |
6 |
| SUGI |
1979 |
A SAS Macro for Ridge Analysis of Multivariate General Linear. Models |
Kenneth A. Hardy,
Again N. Sinha |
source |
5 |
| SUGI |
1979 |
A SAS Macro for Robust Multiple Regression |
Charles McElrea |
source |
4 |
| SUGI |
1979 |
An Evaluation of Nonlinear Regression Programs |
C. M. Metzler |
source |
9 |
| SUGI |
1979 |
Application of Stepwise MANOVA and MANCOV Using SAS |
Chandu M. Patel |
source |
9 |
| SUGI |
1979 |
Estimating Passenger Demands from Truncated Samples |
Franklin S. Young |
source |
5 |
| SUGI |
1979 |
Estimating the Parameters of Biological Models Using SAS |
Thomas P. Capizzi,
Karen Kral,
Robert D. Small |
source |
7 |
| SUGI |
1979 |
Exploring Biased Regression with'SAS |
Samuel G. Carmer,
Wen T. Hsieh |
source |
6 |
| SUGI |
1979 |
GLMM5 as a Tool for Simultaneous Study of the Structure of the Covariance Matrix and Experimental Design Effects |
Ronald W. Helms,
James D. Hosking,
Keith E. Muller |
source |
4 |
| SUGI |
1979 |
Nonlinear Simultaneous Equation Models in Discrete Time |
John P. Sall |
source |
3 |
| SUGI |
1979 |
Procedures for Analysis of Survival Data |
Terry M. Therneau |
source |
5 |
| SUGI |
1979 |
Testing for Trends in Drug Research Data Using SAS |
Chiao Yeh |
source |
4 |
| SUGI |
1979 |
The Role of Package Programs in Statistical Methods Courses |
Thomas A. Bubolz,
James E. Gentle |
source |
7 |
| SUGI |
1979 |
Using GLMM5 for General Linear Models Analysis - A Tutorial II. Three Examples |
Imogene McCanless,
Ronald W. Helms |
source |
9 |
| SUGI |
1979 |
Using GLMM5 for General Linear Models Analysis - A Tutorial-: I. A:Brief Overview of the System |
Ronald W. Helms,
Imogene McCanless |
source |
7 |
| SUGI |
1978 |
A Ridge Regression Algorithm Versus the Classical Least Squares Regression Model |
Bradford T. Greene,
Kareem A. Nakkash |
source |
6 |
| SUGI |
1978 |
A SAS Macro for Calculating Coefficients of Ridge Regression |
Ernest Hilderbrand,
Robert Rogers |
source |
7 |
| SUGI |
1978 |
Applications in Econometrics: Problems, Programs, and Procedures |
Kenneth J. White |
source |
6 |
| SUGI |
1978 |
Data Base and Analysis of Power Plant Cooling Systems |
Sharon A. Bucci |
source |
5 |
| SUGI |
1978 |
Generating Multivariate Normal Data in SAS |
Daniel M. Chilko,
E. James Harner |
source |
4 |
| SUGI |
1978 |
Maintenance and Analysis of Anesthesia/Surgery Data with SAS |
William D. Owens,
Edward L. Spitznagel |
source |
3 |
| SUGI |
1978 |
Multivariate Prediction of Neonatal Mortality with Emphasis on Health Care Inputs |
Merwyn R. Greenlick,
Jonathan D. Quick |
source |
6 |
| SUGI |
1978 |
SAS Applications in a Three-Course Sequence in Statistical Computing |
Thomas A. Bubolz,
James E. Gentle |
source |
7 |
| SUGI |
1978 |
SAS Procedure for the Analysis of Covariance with Intra-Class Regression Model in One- and Two-Way Classifications |
Harji I. Patel |
source |
5 |
| SUGI |
1978 |
Some Applications of the Discriminant Function Procedure |
Emilio A. Icaza,
Kenneth L. Koonce |
source |
4 |
| SUGI |
1978 |
The 1978 Interface Between SAS and BMDP and Some BMDP Features of Interest to SAS Users |
James W. Frane |
source |
4 |
| SUGI |
1978 |
Unsymmetrical Parallel Line Bioassay Using SAS |
Chiao Yeh |
source |
5 |
| SUGI |
1978 |
Use of MATRIX for Single Degree of Freedom Contrasts in Factorial Experiments. |
Samuel G. Carmer |
source |
4 |
| SUGI |
1977 |
A General SAS Macro for Performing Weighted Least Squares |
Wanda H. Burton |
source |
3 |
| SUGI |
1977 |
Interfacing a General Factoring Program with SAS: PROC MUFACT |
Richard J. Hoffman,
Joseph C. Simpson |
source |
|
| SUGI |
1977 |
SAS as Programming Tool and Central Data Interface with Other Statistical Software |
Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog |
source |
|
| SUGI.ONE |
1976 |
A Comparison of BMD, SAS and SPSS |
T. Papaioannou,
G.P.H. Styan,
L.L. Ward |
source |
21 |
| SUGI.ONE |
1976 |
Econometric Uses of SAS |
Max Moszer,
Martha S. Shuler |
source |
26 |
| SUGI.ONE |
1976 |
General Linear Model Procedure |
James H. Goodnight |
source |
39 |
| SUGI.ONE |
1976 |
Reply to Comments on a Comparison of BMD, SAS and SPSS & The Relationship of SAS to Other Packages |
James W. Frane,
Jonathan B. Fry,
James H. Goodnight,
T. Papaioannou,
Stewart Robinovitz,
G.P.H. Styan,
Neal Van Eck,
L.L. Ward |
source |
10 |
| SUGI.ONE |
1976 |
Two Tools for Residual Analysis in Multiple Regression |
Ronald B. Wiley |
source |
36 |
| SUGI.ONE |
1976 |
Unbalanced Two-Way ANOVA and SAS |
David G. Herr,
William A. Powers |
source |
9 |
| SUGI.ONE |
1976 |
Use of the Harvey Procedure |
Walter R. Harvey |
source |
3 |
| SUGI.ONE |
1976 |
Using SAS for Univariate Time Series Analysis via the Box Jenkins Technique |
Mark J. Nicolich |
source |
20 |
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