| WUSS |
2026 |
A Structured Agent-Based Framework for Early-Stage Data Science Pipelines |
Dheerusha Tiwari,
Siddharth Birajdar |
source |
14 |
| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| 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 |
Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation |
Jingbo Zhu,
Jiehan Zhang |
source |
17 |
| PharmaSUG |
2026 |
From Exploratory Data Analysis to Machine Learning: Continuing My Python Journey |
Leon Rod Davoody |
source |
13 |
| PharmaSUG |
2026 |
Quantifying Expression Divergence to Identify Candidate RNA-Binding Proteins Modulating Nonsense-Mediated Decay Across Human Tissues Using t-SNE Embedding Analysis |
Liangwei He |
source |
13 |
| 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 |
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging |
Jaime Yan,
Ming Yang |
source |
18 |
| PharmaSUG |
2026 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PHUSE US |
2026 |
Challenges and Solutions for Generating Synthetic CDISC Data |
Sundaresh Sankaran,
Catherine Briggs |
source
presentation source |
6 |
| PHUSE US |
2026 |
Data Cleaning and Gene Expression Visualisation in Haematological Conditions |
Nasreen Bano,
Ashwika Papasani |
source
poster source |
6 |
| PHUSE US |
2026 |
Estimand-Aligned Multiple Imputation Strategies in CNS Trials with Complex Intercurrent Events |
Veera Thota,
Ian Lees |
source
presentation source |
6 |
| PHUSE US |
2026 |
Leveraging Python for Synthetic External Vendor Data Generation for eCOA and ePRO |
Hitesh Raval |
source
presentation source |
9 |
| PHUSE US |
2026 |
Privacy-Preserving Methods for Oncology Research Using Differential Privacy |
Elena Valkanova |
source
poster source |
12 |
| PHUSE APAC |
2026 |
Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation |
Shakila Jagadeesan |
source
presentation source |
10 |
| 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 |
How Central Statistical Monitoring Drives a Risk-Based Approach to Clinical Trial Monitoring |
Charles Warne |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools |
Hirak Sen Roy |
source
poster source |
12 |
| PHUSE EU |
2025 |
GLMM and GEE for Categorical Repeated Measures - Linking SAS and R |
Miriam Amor |
source
presentation source |
16 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| PHUSE EU |
2025 |
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials |
Stefan Thoma |
source
presentation source |
9 |
| MWSUG |
2025 |
An analysis of Emergency Department Visits for the 10 Health Division Regions across the US during the period 2018 2025 [presentation] |
Baoyuan Zhou |
source |
24 |
| MWSUG |
2025 |
Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional |
Kirk Paul Lafler,
Charu Shankar |
source |
49 |
| MWSUG |
2025 |
Feature Selection and Classification Using Fuzzy Logic |
Ross Bettinger |
source |
39 |
| MWSUG |
2025 |
Multivariate Ratio Edits Using Tolerance Intervals [presentation] |
Daniel Tuyisenge,
Derek Young,
Thomas Mathew |
source |
26 |
| 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 |
Forecasting the U.S. Home Vacancy Rate using ARIMA |
Joseph Maina,
Abdelmonaem Jornaz |
|
12 |
| SESUG |
2025 |
Introduction to Data Simulation |
Jason Brinkley |
|
10 |
| SESUG |
2025 |
Mobile app generated nail picture RGB data text files from very low birth weight (VLBW) infants at NICU bed: SAS code to assemble large volume of text files into analytical datasets for image analysis |
Neeta Shenvi |
|
11 |
| SESUG |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? |
Danny R. Modlin |
|
36 |
| SESUG |
2025 |
Writing ESTIMATE statements to compare continuous scores over time overall and by group |
Alexis Wardell,
Allison M. Deal |
|
18 |
| WUSS |
2025 |
From RealityTV to Real Dependency: Digital Validation Dependence Disorder (DVDD) |
Denzel Smalls Smalls |
source |
15 |
| WUSS |
2025 |
Monetize Your SAS Insights |
Karen Walker |
source |
9 |
| WUSS |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| PharmaSUG |
2025 |
An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS |
Kai Lei,
Jiaqiang Zhu,
Margaret Huang |
source |
14 |
| PharmaSUG |
2025 |
Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional |
Charu Shankar,
Kirk Paul Lafler |
source |
49 |
| PharmaSUG |
2025 |
Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals |
Michael Carnival |
source |
14 |
| 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 |
Productive Safety Signal Detection and Analysis using In-context Learning |
Sundaresh Sankaran,
Samiul Haque,
Sherrine Eid |
source |
11 |
| PharmaSUG |
2025 |
Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making |
Anbu Damodaran |
source |
14 |
| 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 |
Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials |
Lavanya Peddibhotla |
source
presentation source |
7 |
| PHUSE US |
2025 |
Scaling up: accelerating self-hosted open-access LLMs to compete with the Big Three (ChatGPT, Claude, Gemini) |
Kostiantyn Drach |
source
presentation source |
12 |
| PHUSE US |
2025 |
Synthetic Data Generation: A Process Paradigm |
Sundaresh Sankaran |
source
presentation source |
9 |
| PHUSE US |
2025 |
Synthetic Data Will Save the Day: Fact or Fiction |
Sherrine Eid |
source
presentation source |
7 |
| MWSUG |
2024 |
%SURVEYCANCORR Macro: Canonical Correlation for Complex Survey Data |
Mark Pickering,
Taylor Lewis,
Raul Cruz |
source |
8 |
| MWSUG |
2024 |
Evaluating Internal Consistency of Questionnaire Data |
Yida Bao,
Zheng Zhang,
Jiafeng Ye,
Liangliang Xu,
Tao Jiang,
Yongli Zhao,
Philippe Gaillard |
source |
15 |
| MWSUG |
2024 |
Revelation and Exploration for COVID-19 Data: Visual Data Insights and an InfoGeographic Atlas [presentation] |
LeRoy Bessler |
source |
97 |
| MWSUG |
2024 |
Using SAS/STAT: A Gentle Introduction to Some Frequently Used Tools [presentation] |
Melodie Rush |
source |
123 |
| 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 |
The Prentice-Wilcoxon Test to Study Time to Healing for Split Face, Double Blind, Dermatology Clinical Trials |
Shrutimita Pokhariyal,
Craig Wesselman |
source
presentation source |
10 |
| 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 |
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 |
Introduction to Clustering Algorithms |
Jason Brinkley |
source |
10 |
| SESUG |
2024 |
Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging |
Victor Aderanti |
source |
31 |
| SESUG |
2024 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| SESUG |
2024 |
Unveiling the Diagnostic Potential of Radiomics-Based PET and CT Imaging through Statistical and Machine Learning Techniques |
Mostafa Zahed,
Janet Kireta,
Victor Aderanti,
Maryam Skafyan |
source |
21 |
| 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 |
Analyzing Goalkeeper Impact in Premier League Football |
Alec Troy Christiansen,
Benjamin T Houser |
source |
10 |
| WUSS |
2024 |
Correlation of a Composite Self-Reported Symptoms Severity Score with Patient Number of Symptoms as Predictors of SARS-CoV-2 infection status/Viral Load using the SAS System [presentation] |
Jesse Albert Canchola,
Daniel Jarem,
Alison Kuchta |
source |
54 |
| WUSS |
2024 |
Regression Analysis Made Easy Using SAS Studio |
Zheyuan (Walter) Yu |
source |
42 |
| WUSS |
2024 |
SAS Visual Analytics a low code no code approach to dashboard reporting [presentation] |
Charu Shankar |
source |
56 |
| PharmaSUG CN |
2024 |
An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development |
Zhenghao Chu |
source |
28 |
| 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 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2024 |
Visual discovery in Risk-Based Monitoring using topological models |
Kostiantyn Drach,
Iryna Kotenko |
source |
31 |
| 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 |
Automation of Exploratory Report Generation using R shiny and R Markdown |
Denny Sebastian |
source
poster source |
7 |
| PHUSE US |
2024 |
Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data |
Helena Yaben,
Kian Norouzi |
source
presentation source |
9 |
| PHUSE US |
2024 |
Enhancing PK Data Exploration and Visualization by using a R Shiny Application |
Runcheng Li,
Hanyang Sun,
Yiyuan Zeng,
Jiannan Kang |
source
presentation source |
7 |
| PHUSE US |
2024 |
EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling |
Xiaoli Kong,
Jing Dai |
source
presentation source |
8 |
| PHUSE EU |
2023 |
Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials |
Yuliia (Piddubna) Cherednichenko,
Anna Amosova |
source
presentation source |
15 |
| PHUSE EU |
2023 |
Get the Full Picture of Your Data with SAS |
Andy Bayliss |
source
presentation source |
13 |
| 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 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| SESUG |
2023 |
An Efficacy Rating for March Madness Tournament Seeding |
Joe DeMaio,
Nathalie Jones |
source |
11 |
| SESUG |
2023 |
Introduction to Principal Components and Factor Analysis |
Jason Brinkley |
source |
16 |
| SESUG |
2023 |
Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples |
Yaa Awuah,
Mostafa Zahed |
source |
19 |
| SESUG |
2023 |
Predicting Employees' Preference for Remote or On-site Jobs |
Livingstone Gadzanku |
source |
10 |
| 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 |
Two illustrations of the Quantity Theory of Money: A Restatement |
Lawrence Ogbeifun |
source |
81 |
| SESUG |
2023 |
Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics |
Janet Kireta,
Mostafa Zahed |
source |
21 |
| 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 |
Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP) |
Marie Vendettuoli,
Xuehan (Emily) Zhang,
Rodger Zou |
source |
13 |
| PharmaSUG |
2023 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PHUSE US |
2023 |
Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] |
Parvee Kumar,
Diwakar Angra |
source
video |
17 |
| PHUSE EU |
2022 |
Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures [presentation] |
Piotr Karasiewicz |
source
video |
17 |
| PHUSE EU |
2022 |
Using Individual-level Real-world Data to Inform Disease Area Data Models Employed for Clinical Trial Simulation and Design [presentation] |
Sheila McCartan |
source
video |
41 |
| 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 |
Application of Feature Selection and Dimension Reduction Techniques on Large-Scale CT Dataset for Lung Cancer Diagnosis Based on Radiomics |
Mostafa Zahed,
Maryam Skafyan |
source |
22 |
| SESUG |
2022 |
Cliometrics: An Underused Quantitative Approach to History |
Barbara B. Okerson |
source |
7 |
| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
David J. Corliss |
source |
12 |
| 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 |
Analysis of Chemicals in Beauty Products and its Impact on Consumers |
Chhavi Nijhawan |
source |
8 |
| WUSS |
2022 |
Evaluating CO2 storage potential of SECARB Offshore Reservoirs and Saline Formations by Employing Data-driven Models with SAS Viya software |
Kodjo Botchway,
Rupom Bhattacherjee,
Xitong Hu,
Jack Pashin,
Goutam Chakraborty,
Prem Bikkina |
source |
11 |
| WUSS |
2022 |
Study of cause and effect in medical research via SAS Statistical package |
Oleg Korovyanko |
source |
11 |
| WUSS |
2022 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| 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 |
Win Ratio Simulation For Power Calculation Made Easy |
Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su |
source |
13 |
| PHUSE US |
2022 |
Bivariate Analysis Dataset Structure (ADBIVAR): Analysis-ready Dataset Structure for Bivariate Analysis Based on BDS Principles [poster] |
Michael Pannucci,
Toshio Kimura |
source |
1 |
| PHUSE EU |
2021 |
Best Practices: Analysing Classical Clinical Trial Data with ML Methods [presentation] |
Uwe Pritzsche |
source
video |
10 |
| PHUSE EU |
2021 |
Statistical Approaches in Complex Efficacy Analysis for Vaccine Trials [presentation] |
Drisya C A,
Nijitha L M |
source
video |
10 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| SESUG |
2021 |
Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis |
Kelly D. Smith |
source |
12 |
| 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 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| 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 |
| PHUSE US |
2021 |
Confused with PROC MIXED? Find Out What is the Best Model |
Savithri Jajam,
Vamshi Matta |
source
video
presentation source |
7 |
| 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 |
Integrating Digital Images for Ophthalmology Trials using Machine Learning Techniques for Image Analysis. |
Shubhranshu Dutta |
source |
13 |
| PharmaSUG |
2021 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2021 |
A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples |
Isaiah Lankham,
Matthew T. Slaughter |
source |
22 |
| SGF |
2021 |
Investing in Education Intelligently |
Sam Edison,
Rushya Puttam,
Akhil Emani,
Nithisha Katta |
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 |
SAS Time Series Analysis & Forecasting (TSAF) at the Canada Revenue Agency (CRA), with COVID impacts |
Jason A. Oliver |
source
presentation |
22 |
| 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 |
| PHUSE EU |
2020 |
How to Act with Actigraphy Data [presentation] |
Subhamoy Bhattacherjee |
source
video |
13 |
| PHUSE EU |
2020 |
SAS v. R vs. Python - A Comparison of Data Exploration Techniques |
Nathanael Cockburn |
source
video
presentation source |
12 |
| SESUG |
2020 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| 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 Survey of Methods in Variable Selection and Penalized Regression |
Yingwei Wang |
source |
17 |
| SGF |
2020 |
Automation in SAS Visual Data Mining and Machine Learning |
Wendy Czika |
source |
26 |
| 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 |
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 |
Machine Learning Approach to Combat the Opioid Epidemic |
Navjot Kaur |
source |
15 |
| SGF |
2020 |
Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure |
L. Grisell Diaz-Ramirez,
Bocheng Jing |
source |
10 |
| SGF |
2020 |
Principal Component Analysis Demystified |
Caroline Walker |
source |
7 |
| SGF |
2020 |
Propensity Score Matching with Survey Data |
Bocheng Jing |
source |
14 |
| SGF |
2020 |
Reducing Ecological Footprint: Examining Panel Data |
Neil Belford |
source |
7 |
| SGF |
2020 |
Sample Size Calculations Using SAS, R, and nQuery Software |
Jenna Cody |
source |
19 |
| 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 |
Smarter and Faster with SAS Visual Analytics |
Rick Styll |
source |
13 |
| SGF |
2020 |
Time After Time: D-I-D and ITS Models in SAS |
Margaret Warton |
source |
21 |
| SGF |
2020 |
Tricks of the Trade: Streamlining and Enhancing Your SAS Sessions |
Debra A. Goldman |
source |
11 |
| SGF |
2020 |
Turning the Crank. A Simulation of Optimizing Model Retraining |
David R. Duling |
source |
17 |
| SGF |
2020 |
Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada |
Jason A. Oliver |
source |
19 |
| SGF |
2020 |
Using SAS Visual Analytics Reports for Operational Reporting in Clinical Trials |
Jun Wen,
Jack Shostak |
source |
17 |
| SGF |
2020 |
Variable Selection Using Random Forests in SAS |
Denis Nyongesa |
source |
11 |
| SGF |
2020 |
Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need |
Chris St. Jeor |
source |
12 |
| PHUSE US |
2020 |
Artificial Intelligence (AI)-enhanced Precision Medicine Drug Development |
Mohammad Afshar |
source |
9 |
| PHUSE EU |
2019 |
Mixed Model Repeated Measures (MMRMs) |
Mrudula Suryawanshi |
source
presentation source |
19 |
| PHUSE EU |
2019 |
SAS/STAT High-performance procedures contrasted with their legacy counterparts |
Roman Ganzha |
source
presentation source |
6 |
| PHUSE EU |
2019 |
Using R to build artificial neural networks in medical data |
Thomas Wollseifen |
source
presentation source |
17 |
| 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 |
Examining Imputation effect by Using FACTOR and MI Procedures in SAS for a Bullying Scale for LGBTQ Youth in SC |
Examining Imputation |
source |
5 |
| SESUG |
2019 |
Intervention at the Library: Assessing the Effect of an Event |
David A. Dickey,
John Vickery |
source |
19 |
| SESUG |
2019 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SESUG |
2019 |
Prediction of College Admission Trend Predictive Analytics 2019 Final Paper |
Yash Prakash |
source |
8 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| SCSUG |
2019 |
Can Life Style Change Prevent Diabetes? |
Mounica Mandapati |
source |
11 |
| 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 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| MWSUG |
2019 |
Breaking Human Trafficking Network: An Analytics Approach |
Raj Laxmi Prakash,
Miriam McGaugh |
|
16 |
| 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 |
The Advent of Renewable Energy |
Sai Teja Sagi,
Miriam McGaugh |
|
21 |
| WUSS |
2019 |
A strategy for speed Dating |
YuTing Tian |
source |
21 |
| WUSS |
2019 |
Measuring Test-Retest Reliability: The Intraclass Kappa |
Dennis G. Fisher,
Grace L. Reynolds,
Eric Neri,
Arthur M. Noda,
Helena Chmura Kraemer |
source |
9 |
| WUSS |
2019 |
Polynomial Regression for Modeling Curvilinear Data: A Biological Example |
Elisha Johnston |
source |
20 |
| WUSS |
2019 |
Variable Selection Using Random Forests in SAS |
Denis Nyongesa |
source |
11 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements |
Qinlei Huang,
Radha Railkar |
source |
16 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| SGF |
2019 |
A Selective Overview of Panel Data with Applications in SAS |
Oral Capps |
source |
26 |
| SGF |
2019 |
Analyzing Structural Causal Models using the CALIS Procedure |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| SGF |
2019 |
Bring Analytics into Your Day Job |
Atrin Assa |
source |
6 |
| SGF |
2019 |
Can't Find the Right CAS Action? Create Your Own Action Using CASL |
Brian Kinnebrew |
source |
10 |
| SGF |
2019 |
Causal Analyses Using Structural Equation Models |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| SGF |
2019 |
Commodities Risk Easy Button: Configure Advanced Risk Analytics from Scratch in 20 Minutes or Less |
Albert Hopping,
Eric Carriere,
Michael Busby,
Christine Jackson |
source |
13 |
| SGF |
2019 |
Conducting Tests in Multivariate Regression |
Chii-Dean Joey Lin |
source |
13 |
| SGF |
2019 |
Factors Affecting Mental Health in Employees and Their Relation to Suicide Rates at a Workplace |
Shambhavi Pandey |
source |
11 |
| SGF |
2019 |
Generating Sales Insights from Predictive Models |
Krzysztof Dzieciolowski |
source |
10 |
| SGF |
2019 |
Google Store Revenue Probability Prediction |
Rohit Kaul,
Meera Govindan |
source |
10 |
| SGF |
2019 |
Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models |
Amy Shi,
Fang K. Chen |
source |
20 |
| 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 |
Optimizing Product Assortment with Total Unduplicated Reach and Frequency Analysis in SAS/OR |
Jay Laramore |
source |
16 |
| SGF |
2019 |
Pseudo-Random Numbers in SAS Model Implementation Platform |
Joel Dood |
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 |
Statistical Data Checks to Identify Questionable and Suspicious Data |
Kaitie Lawson |
source |
11 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SGF |
2019 |
The Wondrous New tmCooccur SAS Cloud Analytic Services (CAS) Action and Some of Its Many Uses |
James A. Cox,
Russell Albright |
source |
13 |
| SGF |
2019 |
Three ways to add texts to graphics in Proc Sgplot |
Yaqi Jia |
source |
9 |
| SGF |
2019 |
Transforming Ordinal Predictors to Numeric For Binary Logistic Models |
Bruce S. Lund |
source |
10 |
| SGF |
2019 |
Using Parallel Analytics to Determine the Dimensionality of the Computer-Based Prostate Cancer Screen |
Abbas S. Tavakoli,
Otis L. Owens,
Nikki R. Wooten |
source |
10 |
| PHUSE US |
2019 |
Interactive Visualization of SEND Clinical Pathology Data Using R Shiny |
Kevin Snyder |
source
presentation source |
8 |
| 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 |
Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials |
Michael Farnum |
source
presentation source |
12 |
| SCSUG |
2018 |
Deciphering cryptocurrencies: Sentiments and prices |
Priyansh Dadar |
source |
6 |
| SCSUG |
2018 |
Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model |
Mei Najim |
source |
17 |
| SCSUG |
2018 |
Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SCSUG |
2018 |
Visual Storytelling - The Art of Communicating Information with Graphics |
Kirk Paul Lafler |
source |
16 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Journey to the Centre of the Protocol: Explorations in Text Mining for Study eCRF Development |
Rodrick Bower |
source
poster source |
11 |
| SESUG |
2018 |
A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma |
Hurricane Irma |
source |
11 |
| SESUG |
2018 |
Introduction to Data Simulation |
Jason Brinkley |
source |
9 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| 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 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| SESUG |
2018 |
Using SAS to test the Psychometric Properties of Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale among African-American Men |
African-American Men |
source |
7 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| MWSUG |
2018 |
Computer Karma: Non-Monetary Benefits from Statistical And Information Technology Volunteer Work |
Brandy R. Sinco |
|
11 |
| 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 |
Efficiency Programming with Macro Variable Arrays |
Veronica Renauldo |
|
19 |
| MWSUG |
2018 |
Handling Missing Data in Exploratory Factor Analysis Using SAS |
Min Chen |
|
3 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Making Your SAS Output, Results, Reports, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
|
20 |
| MWSUG |
2018 |
Pan-Cancer Epigenetic Biomarker Selection from Blood Sample Using SAS |
Xi Chen,
Jin Xie,
Qingcong Yuan |
|
9 |
| 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 |
Visual Storytelling - The Art of Communicating Information with Graphics |
Kirk Paul Lafler |
|
16 |
| 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 |
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 |
Is Really No PR Bad PR? Debunking the Myth |
Imran Selim,
Devanand Chintoju |
source |
6 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| WUSS |
2018 |
Modeling Heterogeneous Within-Subject Variability |
Madeline Craft,
Shelley A. Blozis |
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 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| WUSS |
2018 |
Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML |
Austin R. Brown |
source |
8 |
| PHUSE US |
2018 |
Shaken But Not Stirred: An Example of Subject Classification using Multidimensional Scaling |
Manuel Sandoval Garcia |
source
presentation source |
7 |
| PharmaSUG |
2018 |
Advanced Analytics approach to explore CENSUS Data and know the population in order to determine the best opportunities to open the new Hospital |
Krystian Matusz |
source |
12 |
| PharmaSUG |
2018 |
Application of Survival Analysis in Multiple Events Using SAS |
Jane Lu,
David Shen |
source |
9 |
| PharmaSUG |
2018 |
Creating an ADaM Data Set for Correlation Analyses |
Chad W. Melson |
source |
11 |
| 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 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2018 |
A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma |
Bogdan Gadidov,
Linh H. Le |
source |
11 |
| SGF |
2018 |
An Ingenuity Journey to Set ROI and Benefits Tracking |
John Jarrett |
source |
3 |
| SGF |
2018 |
Back to Basics: Get Better Insights from Data |
Atrin Assa |
source |
10 |
| SGF |
2018 |
Bitcoin Price Forecasting Using Web Search and Social Media Data |
Travis Miller |
source |
22 |
| SGF |
2018 |
Claim Analytics: A Litigation Prediction Case Study |
Mei Najim |
source |
18 |
| SGF |
2018 |
Confirmatory Factor Analysis in SAS : Application to Public Administration |
Niloofar Ramezani |
source |
13 |
| SGF |
2018 |
Customizing the Aggregation of Risk Data |
Scott Gray,
Stacey M. Christian |
source |
18 |
| SGF |
2018 |
Estimation of Correlation Coefficient in Data with Repeated Measures |
Katherine Irimata,
Paul Wakim,
Xiaobai Li |
source |
19 |
| SGF |
2018 |
Factors versus Clusters |
Diana D. Suhr |
source |
16 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| SGF |
2018 |
Location Matters: Evidence from Spatial Econometric Analysis of Opioid Prescription Rates |
Jonathan Mccopp |
source |
21 |
| SGF |
2018 |
Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning |
Susan Haller,
Brett Wujek |
source |
29 |
| 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 |
Personal Lending: What is Customer Price/Credit Optimization? Is Experimental Design Inevitable? |
Yuri Medvedev |
source |
20 |
| 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 |
Using SAS to Estimate Lagged Coefficients with the %partitionedGMM Macro |
Kyle Irimata,
Jeffrey Wilson |
source |
8 |
| SGF |
2018 |
Using the COPULA Procedure to Simulate Multivariate Data |
Bill Qualls |
source |
8 |
| SESUG |
2017 |
Binning of Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
20 |
| 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 |
Old Age and Treachery vs. Youth and Skill: An Analysis of the Mean Age of World Series Teams |
Joe DeMaio |
source |
7 |
| SCSUG |
2017 |
Prediction of Used Cars? Prices by Using SAS EM |
Jaideep Muley,
Vijay Kumar Movva |
source |
12 |
| PHUSE EU |
2017 |
Comparison of Different Methods of Detecting Publication Bias |
Janhavi Kale,
Anwaya Nirpharake |
source
presentation source |
10 |
| PHUSE EU |
2017 |
Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS |
Yirong Cao,
Siory Traoré |
source
presentation source |
11 |
| PHUSE EU |
2017 |
How to Fit Longitudinal Data with Proc MCMC |
Maud Henion |
source
presentation source |
16 |
| PHUSE EU |
2017 |
The Model Statistician Insights into Model Selection Techniques in Clinical Trials |
Peter Williams |
source
presentation source |
6 |
| 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 |
Dimensionality Reduction using Hadamard, Discrete Cosine and Discrete Fourier Transforms in SAS |
Mohsen Asghari,
Aliasghar Shahrjooihaghighi,
Ahmad Desoky |
|
12 |
| MWSUG |
2017 |
How Can an NBA Player Be Clutch?: A Logistic Regression Analysis |
Logan Edmonds |
|
18 |
| MWSUG |
2017 |
Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights |
Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton |
|
15 |
| 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 |
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 |
Standardized Approaches for Analyzing Quality Improvement Interventions in Healthcare Settings |
Polina Kukhareva |
source |
20 |
| PharmaSUG |
2017 |
Application of Deming Regression in Molecular Diagnostics using a SAS Macro |
Merlin Njoya,
Pari Hemyari |
source |
6 |
| PharmaSUG |
2017 |
Bird-s eye view of the data, a graphical exploration! |
Hrideep Antony |
source |
9 |
| SGF |
2017 |
An Investigation into Big Data Analytics Applied to Insurance |
Rebecca Peters,
Penny Holborn |
source |
18 |
| SGF |
2017 |
Analyzing Correlated Data in SAS |
Niloofar Ramezani |
source |
13 |
| SGF |
2017 |
Automatic Singular Spectrum Analysis and Forecasting |
Michael J. Leonard,
Bruce Elsheimer |
source |
18 |
| SGF |
2017 |
Does Factor Indeterminacy Matter in Multidimensional Item Response Theory? |
Chong Ho Yu |
source
pdf |
7 |
| SGF |
2017 |
Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure |
Darcy Morris |
source |
6 |
| SGF |
2017 |
GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes in SAS |
Jeffrey Wilson |
source |
7 |
| SGF |
2017 |
Heat Maps: Graphical Displays for Big Data and Small Tables |
Warren F. Kuhfeld |
source |
20 |
| SGF |
2017 |
Interactive Modeling in SAS Visual Analytics |
Donald R. Chapman,
Jonathan Wexler |
source |
16 |
| 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 |
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 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
source |
17 |
| 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 |
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 Python with SAS Cloud Analytic Services |
Kevin D. Smith,
Xiangxiang Meng |
source |
23 |
| SGF |
2017 |
Weight of Evidence Coding for the Cumulative Logit Model |
Bruce S. Lund |
source |
15 |
| SGF |
2017 |
Where Does Cleopatra Really Belong? An Analysis of Slot Machine Placement and Performance Using SAS |
Stephen Tam |
source |
12 |
| SCSUG |
2016 |
Show Me the Money! Text Analytics for Decision-Making in Government Spending |
Tom Sabo |
source |
13 |
| SESUG |
2016 |
A Macro for Calculating Kendall's Tau-b Correlation on Left Censored Environmental Data |
Dennis J. Beal,
Oak Ridge |
source |
13 |
| 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 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni |
source |
62 |
| SESUG |
2016 |
Introduction to Data Simulation |
Jason Brinkley |
source |
8 |
| SESUG |
2016 |
Make the Jump from Business User to Data Analyst in SAS Visual Analytics |
Ryan Kumpfmilller |
source |
13 |
| 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 |
Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations |
Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins |
source |
9 |
| PHUSE EU |
2016 |
Adventures in Data Science |
Kieran Martin |
source |
9 |
| PHUSE EU |
2016 |
Communicating Results with R & Shiny |
Mika Mäkinen |
source
presentation source |
9 |
| MWSUG |
2016 |
A Demonstration of Various Models Used in a Key Driver Analysis |
Steven M. LaLonde |
|
17 |
| MWSUG |
2016 |
An Analysis of the Repetitiveness of Lyrics in Predicting a Song's Popularity |
Drew Doyle |
|
12 |
| 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 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
|
2 |
| MWSUG |
2016 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
|
17 |
| MWSUG |
2016 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
|
11 |
| MWSUG |
2016 |
Weight of Evidence Coding and Binning of Predictors in Logistic Regression |
Bruce S. Lund |
|
16 |
| WUSS |
2016 |
Creating meaningful factors from dietary questionnaires |
Jenna Carlson |
source |
9 |
| WUSS |
2016 |
Distance Correlation for Vectors: A SAS Macro |
Thomas E. Billings |
source |
15 |
| WUSS |
2016 |
Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED |
Todd Coffey |
source |
11 |
| 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 |
How we know an intervention works: Program evaluation by example |
AnnMaria De Mars |
source |
13 |
| PharmaSUG |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| PharmaSUG |
2016 |
What makes a "Statistical Programmer" different from a "Programmer" |
Arun Raj Vidhyadharan,
Sunil Mohan Jairath |
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 Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
An Application of the PRINQUAL Procedure to Develop a Synthetic Index of Customer Value for a Colombian Financial Institution |
Ivan Atehortua,
Diana Flórez |
source |
7 |
| SGF |
2016 |
Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions |
Niloofar Ramezani |
source |
16 |
| SGF |
2016 |
Application of Data Mining Techniques in Improving Breast Cancer Diagnosis |
Josephine Akosa |
source
presentation |
10 |
| SGF |
2016 |
Bayesian Inference for Gaussian Semiparametric Multilevel Models |
Jason Bentley,
Cathy Yuen Yi Lee |
source
zip |
19 |
| 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 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere |
source |
60 |
| SGF |
2016 |
Forecasting Behavior with Age-Period-Cohort Models How APC Predicted the US [presentation] |
Mortgage Crisis |
source |
39 |
| SGF |
2016 |
From Sensors to Solutions: An Example of Analytics in Motion |
Milad Falahi,
Gilbert Hernandez |
source |
12 |
| SGF |
2016 |
Generalized Linear Models for Non-Normal Data |
Theresa H. Ngo |
source |
5 |
| SGF |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| SGF |
2016 |
Macroeconomic Simulation Analysis for Multi-asset Class Portfolio Returns |
Srikant Jayaraman,
Joe Burdis,
Lokesh Nagar |
source |
6 |
| SGF |
2016 |
Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS |
Patricia Rodríguez de Gil,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2016 |
Pedal-to-the-Metal Analytics with SAS Studio, SAS Visual Analytics, and SAS Visual Statistics |
Manuel Figallo-Monge |
source |
20 |
| 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 |
Risk Adjustment Methods in Value-Based Reimbursement Strategies |
Daryl Wansink |
source |
6 |
| 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 Mobile Analytics: Accelerate Analytical Insights on the Go |
Murali Nori |
source |
7 |
| SGF |
2016 |
Similarity Analysis: an Introduction, a Process, and a Supernova |
David J. Corliss |
source |
11 |
| 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 |
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 GENMOD to Analyze Correlated Data on Military Health System Beneficiaries Receiving Behavioral Health Care in South Carolina Health Care System |
Abbas S. Tavakoli,
Jordan Brittingham,
Nikki R. Wooten |
source
presentation |
10 |
| SGF |
2016 |
Using SAS to Conduct Multivariate Statistical Analysis in Educational Research: Exploratory Factor Analysis and Confirmatory Factor Analysis |
Jun Xu,
Steven L. Holtzman,
Kevin Petway,
Lili Yao |
source |
13 |
| 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 |
| 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 Property & Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
|
14 |
| MWSUG |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Jill Tao,
Kathleen Kiernan,
Phil Gibbs |
|
18 |
| MWSUG |
2015 |
Intuitive Demonstration of Statistics through Data Visualization of Pseudo-Randomly Generated Numbers in R and SAS |
Jack Sawilowsky |
|
11 |
| MWSUG |
2015 |
Using SAS for the Longitudinal Analysis of Difference Scores |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| PHUSE EU |
2015 |
Flexible Solutions for Insight and Data-driven Innovation |
Catharina Dahblo |
source
presentation source |
6 |
| SESUG |
2015 |
A SAS Macro for Improved Correlation Coefficient Inference |
Stephen W. Looney |
source |
7 |
| SESUG |
2015 |
A SAS Macro to Investigate Statistical Power in Meta-analysis |
Jin Liu,
Fan Pan |
source |
5 |
| SESUG |
2015 |
An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies |
Yan Wang,
Seang-Hwane Joo,
Jeffrey D. Kromrey |
source |
20 |
| SESUG |
2015 |
An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX |
Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell |
source |
16 |
| SESUG |
2015 |
How Latent Structure Analysis Can Improve the Fit of a Regression Model |
Deanna Naomi Schreiber-Gregory |
source |
11 |
| SESUG |
2015 |
IA_CTT: A SAS Macro for Conducting Item Analysis Based on Classical Test Theory |
Yi-Hsin Chen,
Isaac Y. Li |
source |
9 |
| 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 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
source |
10 |
| SESUG |
2015 |
Using SAS to Examine Health Effects of Intimate Partner Violence among HIV+ Women |
Abbas S. Tavakoli,
Sabra S. Custer,
Yu Min NI |
source |
6 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Phil Gibbs,
Jill Tao,
Kathleen Kiernan |
source |
18 |
| WUSS |
2015 |
Alternative use of proc corr: product co-distribution analysis |
Amarnath Vijayarangan |
source |
6 |
| WUSS |
2015 |
Data Analyses in Multivariate Regression |
Chii-Dean Joey Lin |
source |
9 |
| WUSS |
2015 |
Generalized Estimating Equations for Depression Dose Regimes |
Karen Walker |
source |
8 |
| WUSS |
2015 |
How much is $1 worth? |
Ross Lallian |
source |
13 |
| WUSS |
2015 |
Illustrating preliminary procedures for multi-dimensional item response theory |
Chong Ho Yu,
Samantha Douglas,
Anna Yu |
source |
11 |
| 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 |
| PharmaSUG CN |
2015 |
Hands-on Tutorial for Piecewise Linear Mixed-effects Models Using SAS PROC MIXED |
Qinlei Huang |
|
15 |
| 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 |
| SGF |
2015 |
"Before and After" Models in Observational Research Using Random Slopes and Intercepts |
David J. Pasta |
source |
12 |
| SGF |
2015 |
Adaptive Randomization Using PROC MCMC |
Qianyi Huang,
John Amrhein |
source |
13 |
| SGF |
2015 |
Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression |
Edwin Rivera,
Jim West |
source |
12 |
| SGF |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Kathleen Kiernan |
source |
18 |
| SGF |
2015 |
An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies |
Patricia Rodríguez de Gil,
Shetay Ashford,
Chunhua Cao,
Eun Sook Kim,
Rheta Lanehart,
Reginald Lee,
Jessica Montgomery,
Yan Wang |
source |
20 |
| SGF |
2015 |
An Innovative Method of Customer Clustering |
Brian Borchers,
Ashlie Ossege |
source |
6 |
| SGF |
2015 |
Confirmatory Factor Analysis Using PROC CALIS: A Practical Guide for Survey Researchers |
Lindsey Brown Philpot,
Sunni Barnes,
Crystal Carel |
source |
9 |
| SGF |
2015 |
Gross Margin Percent Prediction: Using the Power of SAS Enterprise Miner 12.3 to Predict the Gross Margin Percent for a Steel Manufacturing Company [presentation] |
Kushal Kathed,
Patti Jordan,
Ayush Priyadarshi |
source |
3 |
| 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 Hunt for Utility Customer Electric Usage Patterns Armed with SAS Visual Statistics with Hadoop and Hive |
Kathy Ball |
source |
12 |
| 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 |
Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner |
Ricardo Galante |
source |
21 |
| SGF |
2015 |
Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] |
Nancy Hu |
source
zip |
12 |
| SGF |
2015 |
Location-Based Association of Customer Sentiment and Retail Sales |
Asish Satpathy,
Goutam Chakraborty,
Tanvi Kode |
source |
6 |
| SGF |
2015 |
Methodological and Statistical Issues in Provider Performance Assessment |
Daryl Wansink |
source |
6 |
| SGF |
2015 |
Methodology of Model Creation |
Peter Kertys |
source |
11 |
| SGF |
2015 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene,
Bethany A. Bell,
Genine L. Blue,
Elizabeth Leighton |
source |
12 |
| 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 |
Preparing Students for the Real World with SAS Studio |
AnnMaria De Mars |
source |
18 |
| 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 |
Real Time--Is That Your Final Decision? |
Diane Hatcher,
Jerry Baulier,
Steve Sparano |
source |
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 |
SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? |
Bruce Bedford |
source |
20 |
| SGF |
2015 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
source |
32 |
| SGF |
2015 |
SAS Visual Analytics for Fun and Profit: A College Football Case Study |
John Davis |
source |
18 |
| SGF |
2015 |
Show Me the Money! Text Analytics for Decision-Making in Government Spending |
Tom Sabo |
source |
13 |
| 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 |
Statistical Evaluation of the Doughnut Clustering Method for Product Affinity Segmentation |
Darius S. Baer,
Goutam Chakraborty |
source
zip |
12 |
| SGF |
2015 |
The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection |
Qinlei Huang |
source |
16 |
| SGF |
2015 |
The bookBot Ultimatum! |
David A. Dickey,
John Vickery |
source
zip |
19 |
| SGF |
2015 |
The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure |
Xinming An,
Yiu-Fai Yung |
source |
18 |
| 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 the SAS-PIRT Macro for Estimating the Parameters of Polytomous Items |
Sung-Hyuck Lee |
source |
9 |
| SGF |
2015 |
Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC |
Machiel Kruger |
source |
16 |
| 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 |
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 |
JMP Visual Statistics |
Charles E. Shipp |
|
7 |
| SESUG |
2014 |
Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED |
Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson |
source |
18 |
| SESUG |
2014 |
Identifying Superutilizers in the Medicaid Population - A Simple and Powerful technique |
Aran Canes |
|
7 |
| SESUG |
2014 |
Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure |
Yi-Hsin Chen |
|
11 |
| SESUG |
2014 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene,
Elizabeth A. Leighton,
Genine L. Blue,
Bethany A. Bell |
source |
12 |
| SESUG |
2014 |
Overview of Analysis of Covariance (ANCOVA) Using GLM in SAS |
Abbas S. Tavakoli |
source |
10 |
| 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 |
VIF Regression: A SAS Application to Feature Selection in Large Data Sets |
Ruiwen Zhang |
|
5 |
| PHUSE EU |
2014 |
Population Segmentation in a Healthcare Environment |
MaryAnne DePesquo |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Small Sample Bayesian Factor Analysis |
Dirk Heerweghm |
source
presentation source |
18 |
| MWSUG |
2014 |
Common Method Variance Techniques |
Bradford R. Eichhorn |
|
11 |
| MWSUG |
2014 |
Examining the Factor Structure of the Revised Illness Perception Questionnaires (IPQ-R) among Underserved Type II Diabetic Patients |
Xueying (Carol) Li,
Amy McQueen,
Anjali D. Deshpande |
|
9 |
| MWSUG |
2014 |
How To Use Latent Analyses of Survey Data in a Logistic Regression Model |
Deanna Naomi Schreiber-Gregory |
|
9 |
| MWSUG |
2014 |
JMP Visual Statistics |
Charles E. Shipp |
|
7 |
| MWSUG |
2014 |
Modifying a structural equation model of child dietary intake using the Lagrange Multiplier test in SAS PROC CALIS for MWSUG 2014 |
Lauren Cook,
Chih-Ping Chou,
Nicole Gatto,
Jaimie N. Davis,
Donna Spruijt-Metz |
|
9 |
| MWSUG |
2014 |
Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data |
Robert G. Downer |
|
10 |
| 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 |
Use of Social Media Data to Predict Retail Sales Performance |
Li Zhang |
|
13 |
| PharmaSUG CN |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
|
30 |
| WUSS |
2014 |
JMP Visual Statistics |
Charles E. Shipp |
source |
7 |
| WUSS |
2014 |
Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps |
AnnMaria De Mars |
source |
17 |
| 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 |
| PharmaSUG |
2014 |
%ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures |
Qinlei Huang |
source |
8 |
| 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 |
A Parameterized SAS Macro to Select an Appropriate Covariance Structure in Repeated Measures Data Analysis Using PROC MIXED |
Leela Aertker,
Paul Nguyen,
Charity Quick |
source |
3 |
| PharmaSUG |
2014 |
Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software |
Ben Adeyi,
David Shen |
source |
8 |
| PharmaSUG |
2014 |
Healthcare Data Manipulation and Analytics Using SAS |
Lumin Shen,
Jane Lu |
source |
11 |
| PharmaSUG |
2014 |
JMP Visual Analytics |
Charles E. Shipp |
source |
7 |
| PharmaSUG |
2014 |
Reducing Variable Lengths for Submission Dataset Size Reduction |
Sandra VanPelt Nguyen |
source |
6 |
| PharmaSUG |
2014 |
Survival Analysis Approaches and New Developments using SAS |
Jane Lu,
David Shen |
source |
13 |
| 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 |
An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED |
Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue |
source |
19 |
| SGF |
2014 |
Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS |
J. Madison Hyer,
Jennifer L. Waller |
source |
8 |
| SGF |
2014 |
Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman |
source |
11 |
| SGF |
2014 |
Customer Profiling for Marketing Strategies in a Healthcare Environment |
MaryAnne DePesquo |
source |
7 |
| SGF |
2014 |
Estimating Ordinal Reliability Using SAS |
Laura Kapitula |
source |
6 |
| SGF |
2014 |
Healthcare Services Data Distribution, Transformation, and Model Fitting |
Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley |
source |
22 |
| SGF |
2014 |
Improving the Thermal Efficiency of Coal-Fired Power Plants: A Data Mining Approach |
Thanrawee Phurithititanapong,
Jongsawas Chongwatpol |
source |
12 |
| SGF |
2014 |
Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It |
Xinming An,
Yiu-Fai Yung |
source |
14 |
| SGF |
2014 |
Managing Opt-Out Risk |
Jia Lei |
source |
4 |
| 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 |
Multivariate Time Series Modeling Using PROC VARMAX |
Anders Milhøj |
source |
16 |
| SGF |
2014 |
Non-Empirical Modeling: Incorporating Expert Judgment as a Model Input [presentation] |
John Parker |
source |
20 |
| SGF |
2014 |
Parameter Estimation of Cognitive Attributes Using the Crossed Random-Effects Linear Logistic Test Model with PROC GLIMMIX |
Chunhua Cao,
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li |
source |
12 |
| SGF |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
source |
30 |
| SGF |
2014 |
Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure |
John M. Castelloe |
source |
20 |
| SGF |
2014 |
Recommending TV Programs Using Correlation |
John Dilip Raj,
Ledalla Venkata Naga Rajendra,
Qing Wang |
source |
6 |
| 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 |
SAS Data Mining for Predictor Identification: Developing Strategies for High School Dropout Prevention |
Wendy B. Dickinson,
Morgan C. Wang |
source |
9 |
| SGF |
2014 |
Text Mining Economic Topic Sentiment for Time Series Modeling |
Michael P. Dessauer,
Justin Kauhl |
source |
14 |
| 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 |
Top Seven Techniques for Creating SAS Web Applications |
Yogendra Joshi |
source |
20 |
| SGF |
2014 |
Uncovering Trends in Research Using SAS Text Analytics with Examples from Nanotechnology and Aerospace Engineering |
Tom Sabo |
source |
16 |
| SGF |
2014 |
Unlock the Power of SAS Visual Analytics Starting with Multiple Microsoft Excel Files |
Beena Mathew,
Michelle Wilkie |
source |
28 |
| SGF |
2014 |
Using PROC MCMC for Bayesian Item Response Modeling [presentation] |
Yi-Fang Wu |
source |
2 |
| SGF |
2014 |
Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores |
Renee Gennarelli,
Melody S. Goodman |
source |
10 |
| SGF |
2014 |
Using SAS/STAT Software to Validate a Health Literacy Prediction Model in a Primary Care Setting |
Lucy D'Agostino McGowan,
Melody S. Goodman,
Kimberly A. Kaphingst |
source |
7 |
| SGF |
2014 |
What's New in SAS Enterprise Miner 13.1 |
Jared Dean,
Jonathan Wexler |
source |
16 |
| WUSS |
2013 |
An Algorithm for ARIMA Dynamic Regression Variable Selection |
Ross Bettinger |
source |
14 |
| WUSS |
2013 |
Dynamic Regression in ARIMA Modeling |
Ross Bettinger |
source |
11 |
| WUSS |
2013 |
Factor Analysis: Quit being a whiny baby and learn it with SAS Enterprise Guide |
AnnMaria De Mars |
source |
9 |
| WUSS |
2013 |
Flexibility by Design: A Look at New and Updated System Options in SAS 9.4 |
Jan Squillace |
source |
16 |
| WUSS |
2013 |
JMP Visual Analytics |
Charles E. Shipp |
source |
7 |
| WUSS |
2013 |
The Impacts of the Canadian Wheat Board Ruling on the North American Malt Barley Markets: Demonstrating a Copula Approach to Data Simulation |
Heidi Schweizer |
source |
8 |
| 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 |
Using PROC NLMIXED to Fit Correlated Residual Error Structures in Nonlinear Mixed Models |
Shelley A. Blozis,
Jeffrey Harring |
source |
5 |
| SESUG |
2013 |
An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED |
Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue |
source |
13 |
| SESUG |
2013 |
Comparisons of SAS Mixed and Fixed Effects Modeling for Observed over Expected Count Outcomes in the Presence of Hierarchical or Clustered Data |
Rachel E. Patzer |
source |
9 |
| 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 |
Using Predetermined Factor Structures to Simulate a Variety of Data Conditions |
Kevin Coughlin,
Fort Myers |
source |
12 |
| 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 |
SAS Predictive and Visual Analytics: Software Demonstration [presentation] |
Andy Bayliss |
source |
9 |
| PHUSE EU |
2013 |
The AZ-PLM Nausea Study: A Novel Patient-Centric Collaboration |
Jim Weatherall,
Alderley Park |
source
presentation source |
10 |
| PHUSE EU |
2013 |
Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis |
Imgard Hollweck |
source
presentation source |
9 |
| 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 |
Leading and Lagging Indicators in SAS |
David J. Corliss |
|
8 |
| 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 |
Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR |
Renee Gennarelli,
Melody S. Goodman |
|
7 |
| NESUG |
2013 |
Proc SurveyCorr |
Jessica R. Hampton |
|
7 |
| PharmaSUG |
2013 |
'Case-Control' the analysis of Biomarker data using SAS Genetic Procedure |
Jaya Baviskar |
source |
8 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly |
source |
19 |
| PharmaSUG |
2013 |
Reliability Assessment of Image Data in Oncology and Psychology Studies |
Li Zhang,
David Shen,
Gary Chen |
source |
7 |
| SGF |
2013 |
A Multilevel Model Primer Using SAS PROC MIXED |
Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley |
source |
19 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Be Customer Wise or Otherwise: Combining Data Mining and Interactive Visual Analytics to Analyze Large and Complex Customer Resource Management (CRM) Data |
Aditya Misra,
Junyao Ji,
Kam Tin Seong |
source |
11 |
| SGF |
2013 |
Data Merging and Visualization to Identify Associations Between Environmental Factors and Disease Outbreaks |
Azhar Nizam,
Neeta Shenvi,
Xin Zhang |
source |
12 |
| 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 |
Integrated Framework for Stress Testing in SAS |
Jimmy Skoglund,
Wei Chen |
source |
11 |
| SGF |
2013 |
Joint Modeling of Mixed Outcomes in Health Services Research |
Joseph C. Gardiner |
source |
16 |
| SGF |
2013 |
Missing No More: Using the MCMC Procedure to Model Missing Data |
Fang K. Chen |
source |
23 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| SGF |
2013 |
Regression of NASCAR: Looking into Five Years of Jimmie Johnson |
Alex Herrington,
Liuchun Yang,
Yun Gao |
source |
20 |
| SGF |
2013 |
The Box-Jenkins Methodology for Time Series Models |
Theresa H. Ngo |
source |
11 |
| SGF |
2013 |
The Forest and the Trees: See It All with SAS Visual Analytics Explorer |
Nascif Abousalh-Neto |
source |
14 |
| 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 Data Mining in Forecasting Problems |
Chip Wells,
Justin Kauhl,
Timothy Rey |
source |
17 |
| 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 |
Implementing and Interpreting Canonical Correspondence Analysis in SAS |
Laxman Hegde |
|
10 |
| NESUG |
2012 |
Leading and Lagging Indicators in SAS |
David J. Corliss |
|
8 |
| NESUG |
2012 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
|
32 |
| SCSUG |
2012 |
An analysis of customer preference of automobile products using SAS. |
Akkarapol Sa-ngasoongsor |
source |
10 |
| SCSUG |
2012 |
The Effect of Adding the Chronic Disease Score to the Charlson Comorbidity Score in Predicting Mortality in Type - II Diabetes Patients: An Application of Reclassification Measures |
Hemalkumar Mehta |
source |
17 |
| PHUSE EU |
2012 |
Are We Really So Busy? |
James Gallagher |
source
presentation source |
17 |
| PHUSE EU |
2012 |
Medical Data Review and Exploratory Data Analysis using Data Visualization |
Vinod Kerai |
source
poster 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 |
| SESUG |
2012 |
Data merging and Exploration to identify association of Epidemiological outbreaks with Environmental factors |
Neeta Shenvi,
Xin Zhang,
Azhar Nizam |
source |
16 |
| SESUG |
2012 |
SPC Data Visualization of Seasonal and Financial Data Using JMP |
Diane K. Michelson |
source |
9 |
| SESUG |
2012 |
Together at Last: Spatial Analysis and SAS Mapping |
A. Darrell Massengill,
Alexander Kolovos |
source |
12 |
| MWSUG |
2012 |
Are Sales Figures in Line With Expectations? Using PROC ARIMA in SAS to Forecast Company Revenue |
Saveth Ho,
Brian Van Dorn |
|
10 |
| MWSUG |
2012 |
Combined Forecasts: What to Do When One Model Isn't Good Enough |
Ed Blair,
Michael J. Leonard,
Bruce Elsheimer |
|
14 |
| MWSUG |
2012 |
Current Health Trends and Risk Behavior Analysis in American Youth: Using a Large Sample |
Deanna Naomi Schreiber-Gregory |
|
4 |
| MWSUG |
2012 |
JMP Coders 101 Insights |
Charles E. Shipp,
Kirk Paul Lafler |
|
6 |
| MWSUG |
2012 |
Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling |
Rex Pruitt |
|
17 |
| WUSS |
2012 |
Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else |
AnnMaria De Mars,
Chelsea Heaven |
source |
20 |
| WUSS |
2012 |
Exploratory Factor Analysis with the World Values Survey |
Diana D. Suhr |
source |
19 |
| WUSS |
2012 |
JMP Coders 101 Insights |
Charles E. Shipp,
Kirk Paul Lafler |
source |
6 |
| 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 |
Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data |
Arthur L. Carpenter,
Christopher F. Ake |
source |
7 |
| WUSS |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| WUSS |
2012 |
Visualizing Data Techniques, Including Autocharting and Big Data |
Justin Choy |
source |
12 |
| PharmaSUG |
2012 |
Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms |
Francisco Juretig |
source |
11 |
| 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 |
Are You in Need of Validation? Psychometric Evaluation of Questionnaires Using SAS |
Eric P. Elkin |
source |
9 |
| SGF |
2012 |
Combined Forecasts: What to Do When One Model Isn't Good Enough |
Ed Blair,
Michael J. Leonard,
Bruce Elsheimer |
source |
14 |
| SGF |
2012 |
Correlating the Analysis of Opinionated Texts Using SAS Text Analytics with Application of Sabermetrics to Cricket Statistics |
Praveen Lakkaraju,
Saratendu Sethi |
source |
10 |
| 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 |
Exploratory Factor Analysis with the World Values Survey |
Diana D. Suhr |
source |
19 |
| SGF |
2012 |
Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR |
Jonathan Steinberg |
source |
10 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| SGF |
2012 |
Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX |
Philippe Baecke,
Dirk Van den Poel |
source |
11 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Monitoring the Variation in Your Multivariate Process: An Introduction to the MVPMODEL and MVPMONITOR Procedures |
Blair Christian,
Bucky Ransdell |
source |
13 |
| SGF |
2012 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey |
source |
15 |
| 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 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| SGF |
2012 |
Together at Last: Spatial Analysis and SAS Mapping |
A. Darrell Massengill,
Alexander Kolovos |
source |
12 |
| SGF |
2012 |
Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 |
Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam |
source |
12 |
| SGF |
2012 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Witelson |
source |
15 |
| SGF |
2012 |
Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series |
Thomas J. Fisher |
source |
12 |
| SCSUG |
2011 |
An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches |
Ryan Sides |
source |
14 |
| SCSUG |
2011 |
Statistical comparison of relative proportions of bacterial genetic sequences |
Jose F Garcia-Mazcorro |
source |
19 |
| SESUG |
2011 |
A Coding Practice for Preparing Adaptive Multistage Testing |
Yung-Chen Hsu |
source |
6 |
| 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 |
Analysis of Complex Survey Data |
Varma Nadimpalli |
source |
12 |
| 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 |
Creating Correlated Variable Tables Dynamically |
John Barrow,
Aref Dajani |
source |
8 |
| SESUG |
2011 |
Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data |
Eye Tracking |
source |
11 |
| 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 |
Using SAS to Examine Aging Expectation (ERA-38) for Older Adults |
Abbas S. Tavakoli,
Julie Freelove-Charton |
source |
8 |
| WUSS |
2011 |
"Before and After" Models in Observational Research Using Random Slopes and Intercepts |
David J. Pasta |
source |
12 |
| WUSS |
2011 |
Evaluation of the Psychometric Properties of the Inventory of the Dimensions of Emerging Adulthood |
Nadra Lisha |
source |
33 |
| WUSS |
2011 |
Modeling Interactive Advertising on TiVo: Overcoming the Challenges of Collinearity, Efficiency and Practicality |
Rachel Poulsen |
source |
10 |
| MWSUG |
2011 |
Does Lawrence Smoking Ban Impact Kansas Liquor Sales? |
Lijia Mo |
|
12 |
| MWSUG |
2011 |
Introducing SAS Structural Equation Modeling for JMP: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
|
18 |
| MWSUG |
2011 |
Outlier resistance of multivariate bioequivalence procedures |
Srinand P. Nandakumar,
Joseph W. McKean |
|
13 |
| MWSUG |
2011 |
Regression calibration with multiple imputations for red blood cell fatty acids |
James V. Pottala |
|
8 |
| NESUG |
2011 |
Cash-Flow Modeling for Fixed Income Securities? A New Approach Using SAS Risk Management for Banking Solution |
Sunny Zhang |
|
14 |
| NESUG |
2011 |
Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman,
Sailesh Vezzu |
|
9 |
| NESUG |
2011 |
Feature Selection and Dimension Reduction Techniques in SAS |
Sassoon Kosian,
Varun Aggarwal |
|
6 |
| NESUG |
2011 |
Modern Portfolio Theory Using SAS OR |
Murphy Choy |
|
8 |
| NESUG |
2011 |
Statistical Approach to Biosurveillance in Crisis: What is Next? |
Ernest S. Shtatland,
Timur Shtatland |
|
14 |
| PharmaSUG |
2011 |
FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS |
Sandeep Sawant,
Nehan Mohan |
source |
5 |
| PharmaSUG |
2011 |
Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS |
Madan G. Kundu |
source |
12 |
| SGF |
2011 |
A Match Made in Heaven: Predictive Analytics and the SAS BI Dashboard 4.3 |
Keith Renison |
source |
13 |
| SGF |
2011 |
Bivariate Count Data Regression Models: A SAS Macro Program |
Nan-Ting Chou,
David Steenhard |
source |
10 |
| SGF |
2011 |
Cash Flow Modeling for Fixed-Income Securities: A New Approach Using the SAS Risk Management for Banking Solution |
Sunny Zhang,
Jeff Hasmann,
Thomas Kimner |
source |
14 |
| SGF |
2011 |
Data Mining Using JMP |
Murphy Choy |
source |
9 |
| SGF |
2011 |
Finding the Best Display Type for Your Data |
Varsha Chawla,
Lisa Whitman |
source |
7 |
| SGF |
2011 |
Impact of Regulations on Risk and Trading Analytics in Capital Markets |
Jeff Hong |
source |
13 |
| SGF |
2011 |
Integrating SAS and ArcMap: A Case Study of European Internet Use and Population |
Hillary B. Huffer |
source |
4 |
| SGF |
2011 |
Introducing SAS Structural Equation Modeling: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
source |
18 |
| SGF |
2011 |
JMP 9 and Interactive Statistical Discovery |
John P. Sall |
source |
15 |
| SGF |
2011 |
Modeling Financial Risk Factor Correlation with the COPULA Procedure |
Jan Chvosta,
Donald Erdman,
Mark Little |
source |
14 |
| SGF |
2011 |
Quantitative requirements for non-life insurance under Solvency 2 |
Sverre Grevskott |
source |
8 |
| 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 |
Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS |
Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan |
source |
10 |
| SGF |
2011 |
Scale Measurement: Comparing Factor Analysis and Variable Clustering |
Albert Liau,
Teck Kiang Tan,
Angeline Khoo |
source |
19 |
| SGF |
2011 |
Understanding Drivers of Achieving Academic Success in University Students |
David Dobson |
source |
17 |
| SGF |
2011 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
source |
13 |
| NESUG |
2010 |
Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR |
Jonathan Steinberg |
|
8 |
| NESUG |
2010 |
Revealing the Structure of Item Dependency with SAS CLUSTER and TREE Procedures in Educational Testing and Measurement |
Yung-Chen Hsu |
|
6 |
| NESUG |
2010 |
The Quest for Causation: An Introduction to Correlation and Regression Analysis |
Ian Stockwell |
|
9 |
| NESUG |
2010 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Guil Witelson |
|
15 |
| NESUG |
2010 |
What Drives the Consumer Price Index? |
Joshua Klick |
|
7 |
| NESUG |
2010 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
|
14 |
| WUSS |
2010 |
101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 |
Keh-Dong Shiang |
source |
22 |
| WUSS |
2010 |
Answering Your Research Questions with Descriptive Statistics |
Diana D. Suhr |
source |
7 |
| 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 |
Planned Contrasts and Post Hoc Tests in MANOVA Made Easy |
Chii-Dean Joey Lin |
source |
8 |
| WUSS |
2010 |
Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data |
Christopher F. Ake |
source |
7 |
| PHUSE EU |
2010 |
Uncover Useful Patterns in Clinical Trials Safety Data with JMP Clinical |
Valérie Nedbal |
source |
7 |
| MWSUG |
2010 |
Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default |
Valentin Todorov,
Douglas Thompson |
|
11 |
| MWSUG |
2010 |
Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology |
Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson |
|
16 |
| MWSUG |
2010 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
|
19 |
| MWSUG |
2010 |
Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data |
Christopher F. Ake,
Arthur L. Carpenter |
|
6 |
| MWSUG |
2010 |
The "Forgotten" JMP Visualizations |
Sam Gardner |
|
11 |
| MWSUG |
2010 |
Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling |
Rex Pruitt |
|
17 |
| MWSUG |
2010 |
Using JMP and SAS Software Together to Prepare a Last-Minute Research Project for Publication, Or Statistical Modeling of Breathing Relief in Sarcoidosis Patients |
James K. Woods |
|
7 |
| MWSUG |
2010 |
Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards |
Michael G. Wilson |
|
24 |
| 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 |
| PharmaSUG |
2010 |
Linear Mixed Models in Clinical Trials using PROC MIXED |
Danyang Bing,
Xiaomin He |
|
12 |
| PharmaSUG |
2010 |
Using SAS to Compute Partial Correlation |
Jianxin Lin,
Aiming Yang,
Arvind Shah |
|
5 |
| SGF |
2010 |
A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation |
Elisa L. Priest,
Derek Blankenship |
source |
14 |
| SGF |
2010 |
Analysis of Survival Data with Recurrent Events Using SAS |
Rena Jie Sun,
Daniel T. Cotton |
source |
8 |
| SGF |
2010 |
Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach |
Teck Kiang Tan,
Trivina Kang,
David Hogan |
source |
19 |
| SGF |
2010 |
Clinical Trials Simulation: A Publicly Available, Grid-Enabled, GUI-Driven SAS System |
Peter H. Westfall,
Alex Dmitrienko,
Cynthia DeSouza,
Alin Tomoiaga |
source |
13 |
| SGF |
2010 |
Creating a Customer Influence Factor to Decrease the Impact of Churn and to Enhance the Bundle Diffusion in Telecommunications Based on Social Network Analysis |
Carlos Andre R. Pinheiro,
Markus Helfert |
source |
7 |
| SGF |
2010 |
Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? |
Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron |
source |
11 |
| SGF |
2010 |
Everything in Its Place: Efficient Geostatistical Analysis with SAS/STAT Spatial Procedures |
Alexander Kolovos |
source |
18 |
| SGF |
2010 |
Financial Analysis Using SAS PROCs |
Somaye Gharibvand,
Lida Gharibvand |
source |
7 |
| SGF |
2010 |
Introduction to SAS Risk Management for Banking |
Austin Trippensee |
source |
8 |
| SGF |
2010 |
Kick Start with ODS |
Erik W. Tilanus,
Ellen Lokollo |
source |
10 |
| SGF |
2010 |
Let SAS Do the Work: Correlation Crossroads |
Theresa Gilligan,
Cheryl Coon,
Lauren Nelson,
Lori D. McLeod,
Yung-Jui Yang |
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 Application Messaging: How to Integrate Disparate Processes in Your Service-Oriented Architecture |
Stephen A. Vincent |
source |
13 |
| SGF |
2010 |
SAS for Green Energy Solutions in Smart Electric Grid Systems |
Farhad Islam |
source |
10 |
| SGF |
2010 |
Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments |
Joseph C. Gardiner |
source |
23 |
| SGF |
2010 |
Using SAS Enterprise Miner 5.3 to Examine Factors Such as Poverty Levels in Different School Districts |
Patricia B. Cerrito |
source |
8 |
| 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 |
| SCSUG |
2009 |
SVD Filtered Temporal Usage Pattern Analysis and Clustering |
Liang Xie |
|
12 |
| SESUG |
2009 |
A New Effect Modification P Value Test Demonstrated |
Manojkumar B Agravat |
source |
14 |
| SESUG |
2009 |
Developing Business Failure Prediction Models Using SAS Software |
Oki Kim |
source |
10 |
| SESUG |
2009 |
Estimation of Coefficients of Individual Agreement (CIAs) for Quantitative and Binary Data using SAS and R |
Yi Pan,
Jingjing Gao,
Michael Haber |
source |
10 |
| PHUSE EU |
2009 |
Safety analysis using Bayesian simulation methods in SAS 9.2 |
Armin Gemperli |
source |
8 |
| PHUSE EU |
2009 |
Simple Safety Monitoring with Signal Detection [presentation] |
Magnus Mengelbier |
source |
22 |
| MWSUG |
2009 |
Analysis of Emergency Room Waiting Time in SAS |
Brent Wenerstrom |
|
10 |
| MWSUG |
2009 |
Mixed Model Selection |
George C. J. Fernandez |
|
19 |
| MWSUG |
2009 |
Ranking Predictors in Logistic Regression |
Douglas Thompson |
|
13 |
| MWSUG |
2009 |
Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling |
Rex Pruitt |
|
17 |
| MWSUG |
2009 |
Using PROC CALIS and PROC CORR to Compare Structural Equation Modeling Based Reliability Estimates and Coefficient Alpha When Assumptions are Violated |
Fei Gu,
Todd Little,
Neal M. Kingston |
|
10 |
| PNWSUG |
2009 |
Building Multiple Linear Regression Models - Food for Thought |
Colleen E. McGahan,
Mei Chong |
|
11 |
| PNWSUG |
2009 |
SAS Proc STATESPACE and the forecasting of Bureau of Labor Statistics JOLT and Diffusion Index |
Martin B. Jetton |
|
13 |
| NESUG |
2009 |
Customizing a Correlation Matrix That Would Make Pearson Proud |
Aaron Hill |
|
10 |
| NESUG |
2009 |
Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population |
Pramit A. Nadpara |
|
7 |
| NESUG |
2009 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| NESUG |
2009 |
What Drives Physicians to Use A Particular Product when Prescribing |
Marc States |
|
5 |
| 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 |
Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis |
Diana D. Suhr,
Mary Shay |
source |
15 |
| WUSS |
2009 |
Modeling Spatial and Temporal Variations of Arsenic in Surface Water |
Anpalaki J. Ragavan |
source |
10 |
| WUSS |
2009 |
Using SAS PROC TRAJ to Improve Estimates of Assortative Mating for Problem Behavior |
Kelly Knight |
source |
5 |
| WUSS |
2009 |
Validating the Bland-Altman Method of Agreement |
Ryan Fernandez,
George C. J. Fernandez |
source |
17 |
| PharmaSUG |
2009 |
ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting |
Cheng Jun Tian,
Denis Michel |
|
9 |
| 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 Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis |
Clark R. Abrahams,
Sunny Zhang |
source |
14 |
| SGF |
2009 |
A SAS Macro for Adaptive Regression Modeling |
George J. Knafl |
source |
9 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Learning When To Be Discrete: Continuous vs. Categorical Predictors |
David J. Pasta |
source |
10 |
| SGF |
2009 |
ODS 101+ |
Erik W. Tilanus |
source |
20 |
| 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 |
Source of Nitrogen in Q-BOP Steel (Statistical Analysis) |
Arkady M. Kushnir |
source |
19 |
| SGF |
2009 |
The Basics of Experimental Design for Multivariate Analysis |
Steve Figard |
source |
15 |
| SGF |
2009 |
The Problem of Regression Assumptions and the Use of Predictive Modeling |
Patricia B. Cerrito |
source |
20 |
| SGF |
2009 |
Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling Strategies |
Rex Pruitt |
source |
17 |
| SGF |
2009 |
Using GEE to Model Student's Satisfaction: A SAS Macro Approach |
Teck Kiang Tan,
Trivina Kang,
David Hogan |
source |
12 |
| WUSS |
2008 |
Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program |
Nikki M. Carroll |
source |
8 |
| 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 |
Moving from Data to Information: SAS Programming to Reduce Statistical and Programming Errors |
AnnMaria De Mars |
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 |
User-friendly SAS Macro Application for performing all possible mixed model selection - An update |
George C. J. Fernandez |
source |
19 |
| WUSS |
2008 |
Using Unobserved Components Model (UCM) for a Stock Price Fluctuation |
Lida Gharibvand |
source |
7 |
| SCSUG |
2008 |
Transaction Tracing |
Liang Xie |
|
7 |
| SESUG |
2008 |
A macro for nearest neighbor imputation |
Lung-Chang Chien |
source |
6 |
| SESUG |
2008 |
ATTENUATE: A SAS Macro for Computing Confidence Intervals for Disattenuated Correlation Coefficients |
Jeffrey D. Kromrey,
Robert H. Fay,
Aarti P. Bellara |
source |
13 |
| SESUG |
2008 |
Creating county-level estimates from National Weather Service data |
Liang Wei |
source |
14 |
| SESUG |
2008 |
Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population |
Pramit Nadpara |
source |
6 |
| SESUG |
2008 |
Parsimony vs. Complexity: A Comparison of Two-Level, Three-Level, and Cross-Classified Models Using Add Health and AHAA Data |
Bethany A. Bell,
Corina M. Owens,
John M. Ferron,
Jeffrey D. Kromrey |
source |
13 |
| SESUG |
2008 |
Tailoring the use of SAS Enterprise Miner |
Sascha Schubert |
source |
14 |
| SESUG |
2008 |
Techniques for Evidence-Based Decision Making Using SAS |
Ian Stockwell |
source |
8 |
| MWSUG |
2008 |
A Multivariate Ranking Procedure to Assess Treatment Effects |
Alan Y Chiang,
Grace Li,
Ying Ding,
Ming-Dauh Wang |
|
7 |
| 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 |
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 |
| NESUG |
2008 |
Analyzing Laboratory Assay Data for Accuracy |
Sara Hickson,
Jeanne Sparrow |
|
13 |
| NESUG |
2008 |
SAS Macro for Calculating Sample Size and Power on GLM Models with Correlated Binary Outcomes |
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar |
|
5 |
| NESUG |
2008 |
SAS Program for Bivariate Growth Curve with Kalman Filter |
Amy E. Begley,
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar |
|
6 |
| PharmaSUG |
2008 |
Bayesian Data Analysis Using %WinBUGS |
Lei Zhang |
|
18 |
| PharmaSUG |
2008 |
Display gene network using Data Step Graphics Interface (DSGI) |
Wenjie Song,
Ke Yang |
|
7 |
| 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 Macro for Getting More out of Your ROC Curve |
Jennifer Lambert,
Ilya Lipkovich |
source |
11 |
| SGF |
2008 |
ALPHA_CI: A SAS Macro for Computing Confidence Intervals for Coefficient Alpha |
Jeffrey D. Kromrey,
Jeanine L. Romano,
Susan Hibbard |
source |
12 |
| SGF |
2008 |
Applying SAS Mixed-Model Procedures to Educational-Assessment Data |
Brian Patterson |
source |
8 |
| SGF |
2008 |
Creating Interactive Web-based Reports with SAS |
Chun Fan,
Alexander Ushveridze |
source |
11 |
| SGF |
2008 |
Creating Web Services using SAS Analytics |
Bradley W. Klenz,
Daniel Jahn |
source |
30 |
| SGF |
2008 |
Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis |
Anpalaki J. Ragavan |
source |
14 |
| SGF |
2008 |
Easy Rolling Statistics with PROC EXPAND |
Premal P. Vora |
source |
6 |
| SGF |
2008 |
Enterprise Risk Management Solutions |
Austin Trippensee |
source |
6 |
| SGF |
2008 |
Exploring Treasuries with SAS |
Taras Zlupko |
source |
10 |
| SGF |
2008 |
Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research |
Hui Liu,
David Shen,
Louie Huang |
source |
8 |
| SGF |
2008 |
Introduction to Correlation and Regression Analysis |
Ian Stockwell |
source |
8 |
| SGF |
2008 |
PROC CORRESP for Categorical Data: Correspondence Analysis (CA) for Discovery, Display, and Decision-Making |
Wendy B. Dickinson,
Bruce W. Hall |
source |
8 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
Tailoring the use of SAS Enterprise Miner |
Sascha Schubert |
source |
14 |
| SGF |
2008 |
The Early Warning Project: Prewarning and Avoiding Problems and Costly Downtime in Complex Industrial Processes |
Torulf Mollestad,
Frode Oplenskedal |
source |
12 |
| 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 |
Using Copulas to Model Dependency Structures in Econometrics |
Donald Erdman,
Arthur V. Sinko |
source |
13 |
| NESUG |
2007 |
A SAS Constellation Diagram Has Many Faces |
Shi-Tao Yeh |
pdf |
17 |
| 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 |
Exploratory Visualization of Correlation Matrices |
Shi-Tao Yeh |
|
18 |
| NESUG |
2007 |
EZLID: A SAS Macro for Local Item Dependence Assessment |
Yung-Chen Hsu,
Tsung-hsun Tsai |
|
10 |
| NESUG |
2007 |
Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures |
Suhas R. Sanjee,
Sheng Zhang |
|
7 |
| NESUG |
2007 |
PROC EXPAND to the Rescue! |
Premal Vora |
|
5 |
| NESUG |
2007 |
Reliability Analysis: Calculate and Compare Intraclass Correlation Coefficients (ICC) in SAS |
Li Lu,
Nawar Shara |
|
4 |
| NESUG |
2007 |
Resampling Census Data for Survey Data Analysis |
Adeline J. Wilcox |
|
10 |
| 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 |
| NESUG |
2007 |
When Your PROC SQL and Oracle Joins Are Crushed by Data Monsters... |
Houliang Li |
|
17 |
| SESUG |
2007 |
Maryland Region Meteorologically Adjusted Ground-Level Ozone Trend Analysis |
Ozone Trend |
source |
16 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| SESUG |
2007 |
Reducing PROC CORR Output using ODS and Data Step |
Carry W. Croghan |
source |
7 |
| SESUG |
2007 |
The CORR Procedure and Power of GTL |
Mirjana Stojanovic |
source |
10 |
| SESUG |
2007 |
Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) |
Andrea J Roofe |
source |
12 |
| SESUG |
2007 |
Yankees and Red Sox: A Time Series Analysis of Win Percentage Correlations between Professionals |
Baseball Teams |
source |
11 |
| MWSUG |
2007 |
Analyzing Survey Data Using Decision Trees |
Morgan C. Wang |
|
25 |
| MWSUG |
2007 |
RANDOM and REPEATED statements - How to Use Them to Model the Covariance Structure in Proc Mixed |
Charlie Liu |
|
11 |
| MWSUG |
2007 |
Two Macros for Producing Graphs to Assess Agreement Between Two Variables |
David W. Meek |
|
5 |
| WUSS |
2007 |
Data Mining Using SAS Enterprise Miner |
Randall Matignon |
source |
10 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2007 |
Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| SCSUG |
2007 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
10 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PharmaSUG |
2007 |
Effects of Multicollinearity in All Possible Mixed Model Selection |
George C. J. Fernandez |
|
18 |
| PharmaSUG |
2007 |
Exploratory Visualization of Correlation Matrices |
Shi-Tao Yeh |
|
17 |
| PharmaSUG |
2007 |
SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice |
Shi-Tao Yeh,
Scott D Patterson |
|
20 |
| SGF |
2007 |
CRSP Indices in SAS |
Taras Zlupko |
source |
12 |
| SGF |
2007 |
Customer Case Study: The Evolution of Financial Risk Analytics at EnCana |
Gord Anderson,
Mark Perrin |
source |
15 |
| SGF |
2007 |
Effect Modification Investigation Using SAS - A Model-Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
11 |
| SGF |
2007 |
GLMM_SIM: A SAS Macro for Evaluating the Statistical Integrity of General Linear Mixed Models |
James T. Hess,
Melinda R. Hines,
Constance Kromrey,
Jeffrey D. Lee,
Reginald S. Luther,
Stephen L. Coraggio |
source |
10 |
| SGF |
2007 |
Improving Credit Scoring by Generalized Additive Model |
Wensui Cela,
Jimmy Liu |
source |
9 |
| SGF |
2007 |
Model Selection in PROC MIXED-A User-Friendly SAS Macro Application |
George C. J. Fernandez |
source |
20 |
| SGF |
2007 |
OLS Regression? Auto-Regression? Dynamic Regression? |
Rodger Zhang |
source |
12 |
| SGF |
2007 |
Regression Splines with Longitudinal DATA |
Chan-Hee Gossett,
Jeff M. Simpson,
Pippa M. Jo |
source |
6 |
| SGF |
2007 |
SAS Constellation Diagram Has Many Faces |
Shi-Tao Yeh |
source |
16 |
| 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 |
Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling |
John A. Cherrie |
source |
12 |
| MWSUG |
2006 |
All Possible Model Selection in Proc Mixed - A SAS macro application |
George C. J. Fernandez |
|
19 |
| MWSUG |
2006 |
Dependent Scores within KAI and MBTI Instruments |
Marie Risov |
|
9 |
| MWSUG |
2006 |
How to use Summary Statistics as raw data to do basic statistical analysis |
Dachao Liu |
|
6 |
| SCSUG |
2006 |
Psychometrics 101: Test Development |
Barbara Foster |
|
13 |
| PHUSE EU |
2006 |
Analysis of incomplete two-period crossover trials with SAS PROC MIXED |
Jochen Müller-Cohrs |
source |
8 |
| PHUSE EU |
2006 |
Some Basic Statistics for Non-Statisticians |
Gary S. Stevens |
source |
6 |
| SESUG |
2006 |
Effect Modification Investigation Using SAS - A Model Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
10 |
| SESUG |
2006 |
Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling |
Mussie A. Tesfamicael |
source |
7 |
| SESUG |
2006 |
Generating Multivariate Normal Data by Using PROC IML |
Lingling Han |
source |
6 |
| SESUG |
2006 |
Individual Growth Analysis Using PROC MIXED |
Individual Growth |
source |
10 |
| SESUG |
2006 |
MLM_SIM: A SAS Macro for the Statistical Investigation of Mixed Models |
Jeffrey D. Kromrey |
source |
15 |
| 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 |
WATER USAGE DISTRIBUTION AND ITS RELATION WITH INCOME USING SAS AND ARCGIS |
Fariba Nowrouzi Kashan |
source |
10 |
| SESUG |
2006 |
When PROC SQL Is Overwhelmed How to Use the SyncJoin Algorithm to Match Millions of Records Fast |
Houliang Li |
source |
16 |
| WUSS |
2006 |
Model Selection Methods in PROC MIXED |
George C. J. Fernandez |
source |
19 |
| WUSS |
2006 |
PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS |
Tyler C. Smith,
Besa Smith |
source |
14 |
| 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 |
| NESUG |
2006 |
Data Analysis: Beyond the Basics |
Ian Stockwell |
|
9 |
| NESUG |
2006 |
Statistical analysis of clustered data using SAS |
Gui-Shuang Ying,
Chengcheng Liu |
|
13 |
| NESUG |
2006 |
Variable Selection in the Credit Card Industry |
Alec Cheng,
Moez Hababo,
Ray Falk |
|
5 |
| PharmaSUG |
2006 |
Analyzing Ordinal Repeated Measures Data Using SAS |
Bin Yang |
|
8 |
| PharmaSUG |
2006 |
Consistency Check: QC Across Outputs for Inconsistencies |
John Morrill |
|
11 |
| SUGI |
2006 |
%hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison |
Hua Fang |
source |
11 |
| SUGI |
2006 |
A Comparison of the MIXED Procedure and the GLIMMIX Procedure |
Jennifer L. Ferrell |
source |
8 |
| SUGI |
2006 |
Analyzing Multivariate Longitudinal Data Using SAS |
Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller |
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 |
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 |
Computation of Correlation Coefficient and Its Confidence Interval in SAS |
David Shen,
Zaizai Lu |
source |
6 |
| SUGI |
2006 |
Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria |
Jihao Zhou,
Jane Li,
Bruce Coate,
Melissa Chen |
source |
11 |
| SUGI |
2006 |
Exploratory or Confirmatory Factor Analysis? |
Diana D. Suhr |
source |
17 |
| SUGI |
2006 |
Fixed Effects Regression Methods in SAS |
Paul D. Allison |
source |
20 |
| SUGI |
2006 |
Interactive Graphs from the SAS System |
Shi-Tao Yeh |
source |
10 |
| SUGI |
2006 |
Introduction to SAS Enterprise Guide 4.1 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
22 |
| SUGI |
2006 |
MDIRT-FIT: SAS Macros for Fitting Multidimensional Item Response |
Sung-Hyuck Lee |
source |
9 |
| 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 |
Modeling Water Quality Trend in Long Term Time Series |
Anpalaki J. Ragavan,
George C. J. Fernandez |
source |
10 |
| SUGI |
2006 |
The Estimation of Sensitivity and Specificity of Clustered Binary Data |
William F. McCarthy,
Nan Guo |
source |
10 |
| 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 |
| PNWSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| SESUG |
2005 |
Clustering Analysis of Micro Array Data |
John Schwarz |
source |
12 |
| SCSUG |
2005 |
Truncated Levy walks applied to the study of the behavior of Market Indices |
M. P. Beccar Varela,
M. Ferraro,
S. Jaroszewicz,
M. C. Mariani |
|
12 |
| MWSUG |
2005 |
A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients |
Jennifer Ferrell |
|
7 |
| MWSUG |
2005 |
Medicare Cost Estimation For Heart Disease |
Fariba Nowrouzi |
|
11 |
| MWSUG |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard |
|
26 |
| MWSUG |
2005 |
Time Dependent Data Exploration And Preprocessing: Doing It All By SAS |
Joseph Twagilimana |
|
10 |
| MWSUG |
2005 |
Using SAS For Spatial Analysis |
Christina Pertrou |
|
5 |
| WUSS |
2005 |
A Comparison of Missing Data Handling Methods |
Catherine Truxillo |
source |
20 |
| WUSS |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
MaryAnne DePesquo Hope |
source |
7 |
| WUSS |
2005 |
Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example |
Jesse Albert Canchola,
Regina Otero-Sabogal |
source |
9 |
| 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 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| WUSS |
2005 |
Principal Component Analysis vs. Exploratory Factor Analysis |
Diana D. Suhr |
source |
10 |
| NESUG |
2005 |
A Data Comparison Utility |
George P. Sharrard |
|
11 |
| 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 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
|
20 |
| NESUG |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
20 |
| NESUG |
2005 |
Simple Methods to Pull the Diagonal out of a Correlation Matrix. |
Laura Thornton |
|
2 |
| PharmaSUG |
2005 |
Analyze Group-randomized Trial Data with Binary Outcome Using Weighted Paired t-test: A SAS Macro |
Don (Dongguang) Li |
|
5 |
| PharmaSUG |
2005 |
Analyzing and Displaying Study Data in Clinical Trials Made Easy |
Denise J. Smith |
|
15 |
| PharmaSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| 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 Multi-Model Approach to Improve Final Results |
Ryszard Szupiluk,
Piotr Wojewnik,
Tomasz S. Ząbkowski |
source |
6 |
| SUGI |
2005 |
A SAS Framework for Network Security Intelligence |
Michael Protz,
Joe Zilka,
Jeff Mudd |
source |
16 |
| SUGI |
2005 |
A SAS Macro for Visually Displaying Correlations between Brain Regions Using fMRI Data |
Warren B. Bilker,
Colleen M. Brensinger,
Ruben C. Gur,
Maximilian Herlim |
source |
6 |
| SUGI |
2005 |
A System to Calculate Market Value-at-Risk Using Monte Carlo Simulation II: Reporting |
George Rezek |
source |
11 |
| SUGI |
2005 |
An Introduction to Quantile Regression and the QUANTREG Procedure |
Colin Chen |
source |
24 |
| SUGI |
2005 |
End-to-End Web Reporting Using SAS Enterprise Guide 3.0: Who Does What and When |
Marje Fecht,
Peter R. Bennett |
source |
14 |
| SUGI |
2005 |
Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER |
Cam-Loi Huynh |
source |
10 |
| SUGI |
2005 |
Generating Custom Report Tables: Using SAS with DDE and VBA |
Ying Feng |
source |
8 |
| SUGI |
2005 |
Guidelines for Selecting the Covariance Structure in Mixed Model Analysis |
Charles D. Kincaid |
source |
8 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| SUGI |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| SUGI |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
20 |
| SUGI |
2005 |
Maximum Likelihood Parameter Estimation with Incomplete Data |
Catherine Truxillo |
source |
19 |
| SUGI |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard,
Brenda Wolfe |
source |
26 |
| 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 |
Principal Component Analysis versus Exploratory Factor Analysis |
Diana D. Suhr |
source |
11 |
| 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 |
| NESUG |
2004 |
A Data Comparison Utility |
George P. Sharrard |
|
11 |
| NESUG |
2004 |
A System to Calculate Value-at-Risk (VaR) using Monte Carlo Simulation II: Reporting |
George Rezek |
|
11 |
| NESUG |
2004 |
Create Professional-Looking Report Tables: Working with the Power of DDE and VBA |
Ying Feng |
|
8 |
| NESUG |
2004 |
Introduction to Using Enterprise Guide for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
19 |
| NESUG |
2004 |
Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS |
Venita DePuy,
Paul Pappas |
|
5 |
| NESUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
|
18 |
| SESUG |
2004 |
A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values |
Mark S. Litaker |
source |
6 |
| SESUG |
2004 |
A System to Calculate Market Value-at-Risk using SAS/IML and Oracle |
George Rezek |
source |
12 |
| SESUG |
2004 |
Case Studies in Time Series |
David A. Dickey |
source |
10 |
| SESUG |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| SESUG |
2004 |
Structural Equation Modeling Assessing Micro Array Data |
Mussie A. Tesfamicael |
source |
10 |
| SESUG |
2004 |
Using SAS to Make an Independent Assessment of Electronic Medical Records |
Patricia B. Cerrito |
source |
17 |
| WUSS |
2004 |
A SAS Macro to Calculate Standardized Cronbach's alpha using Upper Bound phi Coefficient for Dichotomous Items |
Weimin (Wiliiam) Sun,
Alan W. Stacy,
Huiyan Ma,
Chih-Ping Chou |
source |
10 |
| WUSS |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation in SAS/IML |
George Rezek |
source |
12 |
| 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 |
Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output |
Myungshin Oh,
Mel Widawski |
source |
9 |
| WUSS |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| 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 |
| MWSUG |
2004 |
A System to Calculate Market Risk |
George Rezek |
|
11 |
| PNWSUG |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation |
George Rezek |
|
12 |
| PharmaSUG |
2004 |
Graph the R Matrix in Linear Mixed Model |
Jian Wu,
Peter Button |
|
8 |
| PharmaSUG |
2004 |
Incremental Methods of Imputation for Longitudinal Data with Informative Missingness |
Naum M. Khutoryansky |
|
4 |
| 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 |
The Analysis of Gene Markers and the Use of SAS Procedures to Examine MicroArray Data |
Patricia B. Cerrito |
|
14 |
| SUGI |
2004 |
A System to Calculate Market Value-at-Risk using Oracle |
George Rezek |
source |
11 |
| SUGI |
2004 |
Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis |
David J. Pasta,
Diana D. Suhr |
source |
19 |
| 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 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
18 |
| SUGI |
2004 |
On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures |
Anthony C. Hamlett,
Louise Ryan,
Russell D. Wolfinger |
source |
8 |
| 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 |
Segmenting Children's Narratives with PROC CLUSTER: An Application of SAS Tools to Child Language Studies |
Lindsey N. Chen |
source |
7 |
| 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 |
Widefiles, Deepfiles, and the Fine Art of Macro Avoidance |
Howard L. Kaplan |
source |
11 |
| 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 |
Business Intelligence Applications Using JMP Software |
Charles E. Shipp,
Kirk Paul Lafler |
source |
5 |
| WUSS |
2003 |
JMP-code Corner |
Charles E. Shipp,
Kirk Paul Lafler |
source |
2 |
| WUSS |
2003 |
Picturing Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
Principal Component Analysis, A Powerful Scoring Technique |
George C. J. Fernandez |
source |
6 |
| 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 |
| SCSUG |
2003 |
Elementary Statistics Using Base SAS |
Deborah B. Buck |
|
9 |
| SESUG |
2003 |
An Algorithm for Screening of Genes and Clusters from Microarray Experiments |
James E. Blum |
source |
4 |
| SESUG |
2003 |
An Introduction to Genomics and SAS Scientific Discovery Solutions |
Russell D. Wolfinger |
source |
7 |
| SESUG |
2003 |
Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data |
Hossein N. Yarandi |
source |
6 |
| SESUG |
2003 |
Developing a Marketing Geographic Segmentation System Using SAS Software |
Kellie M. Poulin,
Allison N. Freeman |
source |
10 |
| SESUG |
2003 |
EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences |
Around Standardized Mean Differences |
source |
6 |
| 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 |
Too Many Choices! The IMPORTANCE of Rank-Ordering Independent Variables Prior to Exploratory Data Analysis |
Gregg Weldon |
source |
5 |
| MWSUG |
2003 |
ThunderCell Plot Interpretation of Correlation Matrices Using the SAS System |
George J. Hurley |
|
6 |
| NESUG |
2003 |
Basic Usage of SAS/ETS' & SAS/STAT' to Forecast Time Series |
Douglas L. McAllaster |
|
10 |
| 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 |
Balanced Scorecard as a means of Strategic and Operative Planning [presentation] |
Jukka Siekkinen,
Markku Paakkanen |
source |
28 |
| SEUGI |
2003 |
Data Analysis in Supervision of Customs Adminstration:Enforcement Assessing System [presentation] |
Fang Bin |
source |
31 |
| SEUGI |
2003 |
Human Capital Management at SMC [presentation] |
Sandro Guidorizzi |
source |
24 |
| SEUGI |
2003 |
SAS Value Chain Analytics - How can we make supply chain strategies more cost effective? [presentation] |
Tony Wood |
source |
27 |
| SEUGI |
2003 |
Showcase of SAS Business Intelligence [presentation] |
Amarpal Brar,
Ingrid Hertel,
Stephan Haux |
source |
8 |
| SEUGI |
2003 |
The HR Solution for a Self Government Institution [presentation] |
Giacomo Lorusso |
source |
16 |
| PharmaSUG |
2003 |
Parameter estimation for incomplete bivariate longitudinal data in clinical trials |
Naum M. Khutoryansky |
|
6 |
| PharmaSUG |
2003 |
Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures |
Radhi Abdulnabi |
|
8 |
| SUGI |
2003 |
A Simple Bayesian Approach in Mining the Touch Point Data |
Aaron Lai |
source |
4 |
| SUGI |
2003 |
An Introduction to Genomics and SAS Scientific Discovery Solutions |
Russell D. Wolfinger,
Susan Flood |
source |
7 |
| SUGI |
2003 |
Business Intelligence Applications with JMP Software |
Charles E. Shipp,
Kirk Paul Lafler |
source |
5 |
| SUGI |
2003 |
Case Studies in Time Series |
David A. Dickey |
source |
9 |
| SUGI |
2003 |
Determining the Dimensionality of Data: A SAS Macro for Parallel Analysis |
Robert I. Kabacoff |
source |
3 |
| SUGI |
2003 |
Monitoring, Analyzing, and Optimizing Waterflood Responses |
Leon L. Fedenczuk |
source |
5 |
| SUGI |
2003 |
Multilevel Designs and Their Analyses |
George A. Milliken |
source |
|
| SUGI |
2003 |
Reliability, Exploratory and Confirmatory Factor Analysis for the Scale of Athletic Priorities |
Diana D. Suhr |
source |
7 |
| SUGI |
2003 |
Smoothing with SAS PROC MIXED |
Alexander Pedan |
source |
5 |
| 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 |
| MWSUG |
2002 |
JMP Density Ellipse Script Code Made Easy |
Charles E. Shipp,
Kirk Paul Lafler |
|
2 |
| MWSUG |
2002 |
JMP Density Ellipses for Pharmaceutical Analysis |
Charles E. Shipp,
Kirk Paul Lafler |
|
5 |
| MWSUG |
2002 |
The Wealth of JMP Final Reports |
Charles E. Shipp,
Kirk Paul Lafler |
|
5 |
| MWSUG |
2002 |
Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur |
Radhi Abdulnabi |
|
7 |
| SCSUG |
2002 |
Heart Valve Size Estimates Using Body Indices |
O. M. Little |
|
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 |
Psychometrics 101 |
Ronald P. Cody |
|
9 |
| NESUG |
2002 |
Testing 1,2,3: Determining Redundant Procedures in Product Testing |
Eric Rosenberg |
|
12 |
| NESUG |
2002 |
The Wealth of JMP Final Reports |
Charles E. Shipp,
Kirk Paul Lafler |
|
5 |
| NESUG |
2002 |
Two Useful Macros to Nudge SAS to Serve You |
David Izrael,
Michael P. Battaglia |
|
6 |
| NESUG |
2002 |
Visual Optimization: Using SAS And Java To Explore High Density Data In Equity Portfolios |
Haftan M. Eckholdt,
Ezra Benun |
|
5 |
| SESUG |
2002 |
Basic Usage of SAS/ETS Software to Forecast a Time Series |
Douglas L. McAllaster |
source |
10 |
| SESUG |
2002 |
JMP Density Ellipse Script Code Made Easy |
Charles E. Shipp,
Kirk Paul Lafler |
source |
2 |
| SESUG |
2002 |
JMP Density Ellipses for Pharmaceutical Analysis |
Charles E. Shipp,
Kirk Paul Lafler |
source |
5 |
| 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 |
| WUSS |
2002 |
A Macro for Constructing Confidence Intervals of Simple Difference in Dichotomous Data with Repeated Measurements |
Chii-Dean Joey Lin,
Kung-Jong Lui |
source |
4 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| WUSS |
2002 |
Global Warning: Correlation between Atmospheric Carbon Dioxide Concentration and Surface Temperature |
Karl Glaser |
source |
5 |
| WUSS |
2002 |
JMP Density Ellipse Script Code Made Easy |
Charles E. Shipp,
Kirk Paul Lafler |
source |
6 |
| WUSS |
2002 |
JMP Density Ellipses for Pharmaceutical Analysis |
Charles E. Shipp,
Kirk Paul Lafler |
source |
5 |
| WUSS |
2002 |
Reliability, Exploratory, & Confirmatory Factor Analysis for the Scale of Atheletic Priorities |
Diana D. Suhr |
source |
8 |
| WUSS |
2002 |
Structural Equation Modeling: Easy Solutions Using SAS |
Shuqiang Zhang |
source |
5 |
| WUSS |
2002 |
Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data |
Arthur L. Carpenter |
source |
6 |
| SEUGI |
2002 |
Applying Business Intelligence to social services and social security [presentation] |
Cheri Sweigard,
Edward Blatt |
source |
16 |
| SEUGI |
2002 |
As easy as ABC [presentation] |
Issy Aydiner |
source |
28 |
| SEUGI |
2002 |
Calculating the return on investment made in Analytical CRM - does it make business sense? [presentation] |
AJ Kruger |
source |
27 |
| SEUGI |
2002 |
Enterprise Guide - A Gateway to SAS [presentation] |
Amarpal Brar |
source |
18 |
| SEUGI |
2002 |
Monitoring internal behavior of external IT services using ITSV [presentation] |
Peter Oudshoorn |
source |
29 |
| SEUGI |
2002 |
Strategic Measurement and Reporting in City Governance [presentation] |
David Walker |
source |
24 |
| PharmaSUG |
2002 |
Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED |
Chain Algorithm |
|
6 |
| PharmaSUG |
2002 |
JMP Density Ellipses for Pharmaceutical Analysis |
Charles E. Shipp |
|
6 |
| SUGI |
2002 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| SUGI |
2002 |
Identifying Plant Species: A Botanical Analysis Using PROC DISCRIM |
Robert G. Downer,
Philip E. Hyatt |
source |
4 |
| SUGI |
2002 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SUGI |
2002 |
JMP Density Ellipses for Pharmaceutical Analysis |
Charles E. Shipp,
Kirk Paul Lafler |
source |
5 |
| SUGI |
2002 |
SEM for Health, Business, and Education |
Diana D. Suhr |
source |
8 |
| SUGI |
2002 |
Tree-based Models: Identification of Influential Factors under Condition of Instability |
Pavel Brusilovskiy,
Yillian Yuan |
source |
6 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| NESUG |
2001 |
Untangling Correlated Predictors with Principle Components |
David R. Roberts |
|
5 |
| WUSS |
2001 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| WUSS |
2001 |
Factor Analysis of Categorical Data in SAS |
Lei Han,
Torsten B. Neilands,
Margaret Docini |
source |
6 |
| WUSS |
2001 |
Gold, Black Gold, Steel, and World Inflation: A SAS Study |
Kamal Shoukry |
source |
3 |
| WUSS |
2001 |
Mining the Touch Point Data and the Acquisition Strategy of CRM |
Aaron Lai |
source |
4 |
| WUSS |
2001 |
Patterns of Infectious Diarrhea Peaks in Southern California: Illustration of a Method to Determine Geographical Pathways |
Raoul Burchette,
Chris Conteas,
Jatinder Pruthi |
source |
3 |
| WUSS |
2001 |
Using SAS Functions for Power Analysis and Sample Size Estimation |
Mel Widawski |
source |
5 |
| SESUG |
2001 |
Creating Student Academic Profiles |
Janice K. McBee |
source |
4 |
| SESUG |
2001 |
Heel Ultrasound As a Predictor of Appendicular Bone Mineral Density |
Rebecca G. Frederick,
Baton Rouge |
source |
5 |
| SESUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SCSUG |
2001 |
Creating Student Academic Profiles |
Janice McBee |
|
4 |
| SCSUG |
2001 |
Heel Ultrasound As a Predictor of Appendicular Bone Mineral Density |
Rebecca G. Frederick,
E. Barry Moser,
Ellen R. Brooks |
|
5 |
| SCSUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
7 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| 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 |
Broadcasting Network WEB site Traffic Analysis [presentation] |
Donatella Gandino |
source |
37 |
| SEUGI |
2001 |
Business Process Management: A Key IT Management Challenge [presentation] |
Daniel J. Squillace |
source |
28 |
| SEUGI |
2001 |
D.R.I.V.E.R. [presentation] |
Barbara Brusegan |
source |
14 |
| SEUGI |
2001 |
Data Mining as Method to Streamline the Drug Discovery Process [presentation] |
Markus Duerring |
source |
20 |
| SEUGI |
2001 |
Fraud Detection in Healthcare - MBF's successful approach through SAS South Pacific Data Mining Discovery Centre [presentation] |
Jolie Reichel |
source |
14 |
| SEUGI |
2001 |
Navigating the New Economy - How analytics and strategy Keep your business on course and moving forward [presentation] |
Jonathan Hornby |
source |
19 |
| SEUGI |
2001 |
Risk management and IAS reporting at Deutsche Postbank AG [presentation] |
Harmut Komme,
Jan Olaf Weber |
source |
23 |
| SEUGI |
2001 |
The Intelligence Layer - an Organized Approach to Business Intelligence [presentation] |
Allan Russell,
Stefan Gossler |
source |
57 |
| SEUGI |
2001 |
Two e-intelligence case studies - a ank on line and a financial information portal [presentation] |
Christine Le Bras |
source |
22 |
| SEUGI |
2001 |
Web Performance Management: A SAS Solution Approach [presentation] |
Frank C. Lieble |
source |
27 |
| SEUGI |
2001 |
WebMining [presentation] |
Goncalo Abreu,
Pedro Marques |
source |
15 |
| PharmaSUG |
2001 |
Fitting Gompertz Nonlinear Mixed Model to Infancy Growth Data with SAS version 8 Procedure NLMIXED |
Cindy Q. Song,
Olga M. Kuznetsova |
|
8 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| SUGI |
2001 |
A Non-mathematical Introduction to Regression Concepts Using PROC REG |
Mel Widawski |
source |
7 |
| SUGI |
2001 |
An Introduction to Computing and Interpreting Cronbach Coefficient Alpha in SAS |
Chong Ho Yu |
source |
6 |
| SUGI |
2001 |
Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED |
G. Bruce Schaalje |
source |
6 |
| SUGI |
2001 |
Escaping Flatland: Chernoff's Faces Revisited |
Wendy B. Dickinson |
source |
12 |
| SUGI |
2001 |
Model Fitting in PROC GENMOD |
Jean G. Orelien |
source |
6 |
| 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 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
3 |
| SUGI |
2001 |
Variable Reduction for Modeling Using PROC VARCLUS |
Bryan D. Nelson |
source |
3 |
| 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 |
| SESUG |
2000 |
Computation of pvalues for Multiple Comparisons with a Control in the SAS System |
Jean G. Orelien |
source |
9 |
| SESUG |
2000 |
Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin |
Alvin L. Killough |
source |
8 |
| SESUG |
2000 |
Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities |
Mortgage Lending |
source |
10 |
| SESUG |
2000 |
Using The SAS System To Examine The Effect Of Augmentation On The Inter-Rater Reliability Of Holistic Ratings |
Jim Penny |
source |
6 |
| SESUG |
2000 |
Using The SAS System To Examine The Reliability Of The Retrospective Measure Of Change |
Jim Penny |
source |
6 |
| NESUG |
2000 |
Ad hoc Validation of Multivariate Regression Using PROC FACTOR with BY Groups |
Susan B. Garavaglia,
Asha Sharma,
Stephen Thompson |
|
10 |
| NESUG |
2000 |
Methods for the Analysis of Clustered Ordinal Response Data |
Robert J. Gallop,
J. Richard Landis,
Thomas R. Ten Have |
|
7 |
| NESUG |
2000 |
Think Outside the Box: Analysis of Categorical Data |
Margaret Ann Goetz |
|
5 |
| 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 |
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 |
PROC FREQ: It's More Than Counts |
Richard Severino |
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 |
Implementing Technology Based Quality Solutions |
Robert Noakes |
|
9 |
| SEUGI |
2000 |
Credit Risk Measurement for a Bank Loans Portfolio |
Emiliano Laruccia,
Valter Lazzari |
source |
11 |
| SEUGI |
2000 |
Euro Blue Chips Index - A new benchmark for European Stock Markets [presentation] |
Emiliano Laruccia,
Marcello Esposito,
Stefania Carpi |
source |
33 |
| SEUGI |
2000 |
Forecasting Bad Debt by ARIMA Models with Multiple Transfer Functions using a Selection Process for many Candidate Variables [presentation] |
Alastair Jones,
Derek Hull,
John Adam |
source |
18 |
| SEUGI |
2000 |
Research on Applicability of Markowitz efficient set of portfolios to Russian Equity Market [presentation] |
L. N. Melnikov,
V. Y. Kulyshev,
Vasily Sorokoumov |
source |
47 |
| SEUGI |
2000 |
SAS Data Warehouse for Risk Analysis in Vilniaus Bankas [presentation] |
Algirdas Laukaitis |
source |
41 |
| SEUGI |
2000 |
Using SAS System in the Media Research Projects [presentation] |
Elena Maslova,
S. Poppv,
T. Barsov |
source |
38 |
| PharmaSUG |
2000 |
Random Simulation Methods for Computing Power and Sample Size for Tukey's Trend Test |
Benjamin Duncan |
|
6 |
| PharmaSUG |
2000 |
Using SAS for the Statistical Analysis of a Bivariate Primary Endpoint in a Clinical Trial of Chronic Fatigue Syndrome (CFS) |
Naum M. Khutoryansky,
David R. Strayer,
William A. Carter |
|
3 |
| PharmaSUG |
2000 |
Visualize Your Regression Analysis |
Fan Xu |
|
7 |
| SUGI |
2000 |
A Primer in Spatial Simulation with PROC SIM2D |
Robert G. Downer |
source |
3 |
| SUGI |
2000 |
Detecting Curvilinear Relationships in PROC REG |
Mel Widawski |
source |
9 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| SUGI |
2000 |
Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do |
Robert M. Hamer,
Pippa M. Simpson |
source |
8 |
| SUGI |
2000 |
Motorola's Engineering Data Analysis System: 10 Years of Analytical Excellence |
C. Michael Whitney,
Leslie Fowler |
source |
7 |
| SUGI |
2000 |
Multiple Comparisons with a Control in GEE Models |
Jean G. Orelien,
Jun Zhai,
Richard W. Morris |
source |
6 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SESUG |
1999 |
Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED |
Maribeth H. Johnson |
source |
6 |
| 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 |
A SAS Macro for Hierarchical Data Simulation |
Weimin (Wiliiam) Sun,
Chih-Ping Chou |
source |
6 |
| WUSS |
1999 |
Evaluating Student Performance in Statistics Using SAS/ETS Procedures |
Seid M. Zekavat,
Marianna Fratkina |
source |
4 |
| WUSS |
1999 |
Forecasting Geographic Data |
Michael J. Leonard,
Renee Samy |
source |
7 |
| WUSS |
1999 |
Investigating Seasonality in BLS Data Using PROC ARIMA |
Joseph E. Earley |
source |
6 |
| WUSS |
1999 |
Seasonal Trend Analysis of Monthly Water Quality Data |
Jie Tian,
George C. J. Fernandez |
source |
6 |
| NESUG |
1999 |
An Exploratory Data Analysis of the Relationship between Domestic Violence Incidents and Socioeconomic Factors |
Lathan S. Dennis,
Donald T. Gantz |
|
11 |
| NESUG |
1999 |
Exploratory Data Analysis: Getting to Know Your Data |
Michael A. Walega |
|
8 |
| NESUG |
1999 |
Graphical Techniques for Displaying Multivariate Data |
James R. Schwenke,
Brian J. Fergen |
|
9 |
| NESUG |
1999 |
How New Graphical EDA Techniques Can Reveal Hidden Relationships Between the Criminal Behavior of Federal Prisoners and Their Thinking Patterns |
David DesJardins |
|
8 |
| NESUG |
1999 |
Input Selection, Performance Evaluation, and Credit Risk Analysis |
Shirley Tsai,
David Hamilton |
|
10 |
| NESUG |
1999 |
Psychometrics 101 |
Ronald P. Cody |
|
9 |
| NESUG |
1999 |
Visual Analysis on the WEB: Animating High Density Multidimensional Data |
Haftan M. Eckholdt |
|
9 |
| MWSUG |
1999 |
Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform |
John (Zhaun) Xu |
|
9 |
| SEUGI |
1999 |
A means to an end-to-end Capacity Management System [presentation] |
Ben Ashford |
source |
45 |
| SEUGI |
1999 |
Effective data warehousing - optimised MDDB in practice [presentation] |
Jacek Kaukiel |
source |
28 |
| SEUGI |
1999 |
Help! We are building a data warehouse. With a stethoscope on a developing process [presentation] |
Dag Refvem |
source |
32 |
| SEUGI |
1999 |
New product marketing analysis and launch [presentation] |
Jose Manuel Rey |
source |
80 |
| SEUGI |
1999 |
Technical analysis and portfolio selection methods |
Giuseppe Marcon |
source |
18 |
| SEUGI |
1999 |
Traffic accidents and the road network in SAS/GIS |
Frank Poppe |
source |
6 |
| SUGI |
1999 |
Advances in Multiple Comparisons and Multiple T-Tests Using the SAS System |
Peter H. Westfall,
Randall D. Tobias |
source |
9 |
| SUGI |
1999 |
Canonical Correspondence Analysis in SAS Software |
Laxman M. Hegde,
Dayanand N. Naik |
source |
7 |
| SUGI |
1999 |
Easy Interface for SAS - A SAS Application on the Windows Platform |
Zhuan (John) Xu |
source |
9 |
| SUGI |
1999 |
How New Graphical EDA Techniques Can Reveal Hidden Relationships Between the Criminal Behavior of Federal Prisoners and Their Thinking Patterns |
Dave L. DesJardins,
Denise Golumbaski |
source |
6 |
| 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 |
Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression |
James E. Dunn,
Lynette K. Duncan |
source |
6 |
| 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 |
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 |
Using PROC MIXED To Analyze a Repeated Measures Design |
Keith Dunnigan |
|
6 |
| SCSUG |
1998 |
JMP Reveals the Truth: Statistics Can Be Fun! |
William R. Gjertsen |
|
10 |
| WUSS |
1998 |
Analysis of the Multivariate ENSO Index Using SAS/ETS Procedures |
Joseph E. Earley |
source |
4 |
| WUSS |
1998 |
The Capabilities of PROC FACTOR to Conduct an Exploratory Factor Analysis |
Tyler C. Smith |
source |
6 |
| WUSS |
1998 |
Using PROC IML to Rank Scores |
Karen Walker |
source |
4 |
| WUSS |
1998 |
Using PROC VARCLUS to Examine Geographical Patterns in Biological Time Series Data Along the California Coast |
Stephen Schroeter,
John Dixon,
Richard O. Smith |
source |
4 |
| WUSS |
1998 |
Which Path with PROC CALIS? |
Diana D. Suhr |
source |
7 |
| NESUG |
1998 |
Fasclus Procedure To Identify Subtypes Within A Study Population Following Treatment With A New Antidepressant Drug |
Lev Sverdlov |
|
5 |
| NESUG |
1998 |
Multivariate Discrimination of Categorical Data Using the SAS System |
Jeffrey S. Butler |
|
8 |
| SESUG |
1998 |
Beyond Factor Analysis: Can the Results Be Validated? |
Rachel J. Goldberg |
|
6 |
| SESUG |
1998 |
Regression with Time Series Errors |
David A. Dickey |
|
9 |
| SESUG |
1998 |
Software for GEE: PROC GENMOD and SUDAAN |
Babubhai V. Shah |
|
5 |
| 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 |
| SEUGI |
1998 |
Autocorrelation as an artificial reponses detector: an IML application |
Efraim Darom |
source |
6 |
| SEUGI |
1998 |
Extending the data collection services of IT Service Vision with PATROL [presentation] |
Michael Kearney |
source |
12 |
| SEUGI |
1998 |
Financial impact of forecast and analysis of economics and finances of the Russian regions |
Alexander Nikolsky,
Igor Kadoshchuk,
Larisa G. Shchukina,
Ludmila Bakhareva,
Tatiana A. Ilyina |
source |
8 |
| SEUGI |
1998 |
GLM and MIXED procedures to treat longitudinal data |
Sandrine Laguerre |
source |
9 |
| PharmaSUG |
1998 |
A SAS/Frames Application to Estimate Sample Size and Power for Clinical Trials |
Brian Mitchell |
|
4 |
| SUGI |
1998 |
A Revolution in Data Analysis: How New, Very Powerful, Easy to Use, Graphical Data Analysis Tools and Techniques Can Empower Even Novice Subject Matter Specialists |
Dave L. DesJardins |
source |
8 |
| SUGI |
1998 |
A SAS Macro Implementing an Extension of McNemar's Test for Clustered Data |
Michael L. Lieber,
Cindy Ashley |
source |
6 |
| SUGI |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
10 |
| SUGI |
1998 |
Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST |
Chikuma Hamada,
Junji Kishimoto |
source |
6 |
| SUGI |
1998 |
Creating Scatterplot Matrices Using SAS/GRAPH Software |
Robert A. Vierkant |
source |
7 |
| SUGI |
1998 |
How SAS Has Impacted History or A 25 Y ear A f fair with the Semicolon |
James E. Duarte |
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 |
PROC FACTOROR: A Tool for Extracting Hidden Gems from a Mountain of variables |
Jose A. Santos,
Lawrence Lippke,
Paul E. Pope |
source |
8 |
| SUGI |
1998 |
Reliably Assessing Reliability with SAS Software |
Pippa M. Simpson,
Prudence R. Phillips,
Shelly Lensing,
Robert M. Hamer |
source |
5 |
| SUGI |
1998 |
Resampling with PROC MULTTEST: Providing Tools for Cardiac Surgeons to Identify Clinical Practice Improvement Opportunities |
Gregory L. Pearce,
Peter H. Westfall |
source |
8 |
| 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 Risk Analysis Environment |
Sam Harris |
source |
10 |
| SUGI |
1998 |
Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions |
Jose G. Ramirez,
Brenda S. Cantell,
Randall S. Collica |
source |
7 |
| SUGI |
1998 |
Using a SAS Macro to Create Unique Statistical Output |
Sean W. Mulvenon,
M. Austin |
source |
6 |
| WUSS |
1997 |
Confirmatory Factor Analysis Using PROC CALIS |
Diana D. Suhr,
James Keaton,
Lynne Kelly,
Cynthia Finch |
source |
5 |
| WUSS |
1997 |
Exploring Ways to Compare Eight Diverse Hospitals |
Anthony M. Dymond |
source |
6 |
| WUSS |
1997 |
Factors Influencing Life Expectancy: Using SAS Regression Procedures in a Multi-Country Study |
Kamal Shoukry |
source |
5 |
| 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 |
Testing Homogeneity of Variance |
Shuqiang Zhang |
source |
4 |
| NESUG |
1997 |
A Multivariate Analysis of Airline Service Quality |
Vasanthakumar Bhat |
|
7 |
| NESUG |
1997 |
Attribute Smoothing: A Pattern Forecasting Technique |
David R. Roberts |
|
4 |
| NESUG |
1997 |
Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures |
Ernest S. Shtatland |
|
7 |
| NESUG |
1997 |
Rankings and Multi-Criteria Evaluation of Alternatives: Usage of Objective Data, Subjective Measurements and Expert Judgement |
Pavel Brusilovskiy |
|
7 |
| 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 |
| SESUG |
1997 |
Analysis of Repeated Measures and Longitudinal Data |
Jane Pendergast |
|
8 |
| SESUG |
1997 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
|
7 |
| SESUG |
1997 |
Identifying Clinical Practice Improvement Opportunities Using Resampling Techniques in PROC MULTTEST |
Gregory L. Pearce |
|
6 |
| SESUG |
1997 |
PROC FACTOR: How to Interpret the Output of a Real-World Example |
Rachel J. Goldberg |
|
8 |
| SEUGI |
1997 |
Inter-rater agreement in medical studies: analysis tools within SAS software |
Barbara G. Schneider |
source |
12 |
| PharmaSUG |
1997 |
Visual Component Analysis: Interactive Graphical Modeling in SAS and ViSta/XLispStat |
Richard A. Faldowski |
|
13 |
| SUGI |
1997 |
Demonstrating Systematic Sampling |
Julie Wildman-Pepe |
source |
6 |
| SUGI |
1997 |
Estimation via EM-Algorithm in a Bivariate Random Effects Model |
Amrik Shah,
Kirk A. Easley |
source |
8 |
| 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 |
Kappa Statistics for Multiple Raters Using Categorical Classification |
Annette M. Green |
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 |
PROC FACTOR: How to Interpret the Output of a Real-World Example |
Rachel J. Goldberg |
source |
5 |
| SUGI |
1997 |
Reports Based on SAS Output: Taking Advantage of PROC PRINTTO, DATA Steps and PROC GPRINT |
Lauren E. Haworth |
source |
9 |
| 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 Resampling Techniques in PROC MULTITEST to Evaluate Surgeon SpecificResults Following Coronary Artery Bypass Graft (CABG) Surgery |
Gregory L. Pearce,
Peter H. Westfall |
source |
5 |
| SESUG |
1996 |
Discriminant Analysis via Statistical Packages |
Carl J Huberty,
Laureen L. Lowman |
|
11 |
| SESUG |
1996 |
Macro for Pairwise Reliability Indicators |
Carl M. Russell |
|
3 |
| SESUG |
1996 |
SAStistics 101 |
Robert E. Johnson |
|
8 |
| SESUG |
1996 |
Using SASe to Write a LlSREL Program |
Francis J. Kelley |
|
8 |
| SESUG |
1996 |
Using the SAS System to Assess the Re6ability of Gain Scores |
Tun Penny |
|
8 |
| NESUG |
1996 |
Between a ROC Curve and a Hard Place |
Joseph Kufera,
Kimberly A. Mitchell |
|
10 |
| 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 |
Using the SAS System for Continuous Quality Improvement |
Melissa A. Durfee |
|
10 |
| MWSUG |
1996 |
A Macro to Estimate Morbidity Indices |
Laurel A. Panser,
Janice R. Offord,
James M. Naessens,
Mary E. Campion,
Sherine E. Gabriel |
|
8 |
| MWSUG |
1996 |
The Beauty of SAS is More Than Skin Deep |
Charles Wilson,
Arnold Schroeter |
|
5 |
| WUSS |
1996 |
Comparison of Different SAS Modules for Effective Data Analyses |
George C. J. Fernandez |
source |
2 |
| WUSS |
1996 |
Exploratory Variable Clustering for Integrating Analyses |
David J. Pasta,
Lori Potter |
source |
5 |
| WUSS |
1996 |
Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System |
George C. J. Fernandez |
source |
9 |
| WUSS |
1996 |
The Intraclass Correlation: What Is It and Why Do We Care? |
David J. Pasta |
source |
6 |
| PNWSUG |
1996 |
Reports Based on SAS Output: Takinf Advantage of PROC PRINTTO, DATA STEPS and PROC GPRINT |
Lauren E. Haworth |
|
6 |
| SEUGI |
1996 |
ARIMA-model application for forecasting futures markets |
A. E. Smirnov,
S. V. Kutsev,
V. E. Sorokoumov |
source |
4 |
| SEUGI |
1996 |
Building a metric information system to monitor UNIX, Bull and MVS systems [presentation] |
UNKNOWN |
source |
33 |
| SEUGI |
1996 |
Performance measurement of e-mail usage using SAS/CPE software |
UNKNOWN |
source |
11 |
| SUGI |
1996 |
A Tutorial on Bootstrapping in the SAS System |
Paul A. Thompson |
source |
10 |
| SUGI |
1996 |
Computing Min and Max Scorings for Two-Sample Ordinal Data |
Lyn Whitaker,
Michael D. Whitaker |
source |
6 |
| SUGI |
1996 |
Estimating and Evaluating Correlation Structures in Repeated Measures Designs Using the GLM and MIXED Procedures |
Maribeth H. Johnson,
Tom Baranowski |
source |
5 |
| SUGI |
1996 |
Repeated Measures - A Better way? |
Edith Flaster |
source |
10 |
| SUGI |
1996 |
Repeated Measures Analysis with Discrete Data Using the SAS System |
Gordon Johnston |
source |
5 |
| SUGI |
1996 |
Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias |
Greg A. Grandits,
Patricia Grambsch |
source |
3 |
| SCSUG |
1995 |
A Macro for Displaying Correlation Matrices |
Diana L. Urbauer,
Stephen I. Black |
|
23 |
| SCSUG |
1995 |
Using SAS/PC for Higher Order Factor Analysis in Research |
William L. Johnson,
Annabel M. Johnson |
|
10 |
| MWSUG |
1995 |
Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor |
Michelle Secic |
|
6 |
| MWSUG |
1995 |
PROACTIVE vs. REACTICE SPC Analysis at LTV Steel |
Paul M. Centric,
Robert J. Scharl |
|
6 |
| MWSUG |
1995 |
Randomization and Analysis of Body Weights in Rodent Toxicity Studies |
Jen-Fue Maa |
|
6 |
| MWSUG |
1995 |
Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML |
Paul A. Thompson |
|
10 |
| MWSUG |
1995 |
STAT101: A Review of the Basics |
Judi D. Reine |
|
5 |
| MWSUG |
1995 |
Taming the Chaos: Standards for SAS Programming |
Michael Whitney |
|
10 |
| NESUG |
1995 |
Data Reduction: An Introduction to Principal Components Analysis |
Jennifer L. Caveny,
James F. Murray |
|
10 |
| NESUG |
1995 |
Displaying the Results of Multivariate Analyses |
Dan Jacobs,
Steven G. Smith |
|
8 |
| NESUG |
1995 |
SAS/ASSIST for the New SAS User |
Jeanne M. Spicer |
|
8 |
| WUSS |
1995 |
Applying the SAS System in Undergraduate Managerial Economics: A General Approach |
Seid M. Zekavat |
source |
5 |
| WUSS |
1995 |
Detecting Singularity of a Matrix and Adjustment for Positive Definite Matrix Using Cholesky Decomposition Theorem - SAS/IML |
Jianmin Liu |
source |
6 |
| WUSS |
1995 |
General Reliability and Intraclass Correlation Program (GRIP) |
Ron D. Hayes,
Eric Yu I. Wang,
Michael S. Sonksen |
source |
4 |
| WUSS |
1995 |
Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions |
Jennifer Lee,
Chul W. Ahn |
source |
3 |
| WUSS |
1995 |
Method Comparison Using Bland-Altman Method |
Meng-Koon Chua |
source |
5 |
| SESUG |
1995 |
Intraclass Correlation Reliability Estimation Using the GLM and MIXED Procedures |
Maribeth H. Johnson |
|
5 |
| SEUGI |
1995 |
Regional Econometric Modeling An Application of SAS/IML Software |
Jorgen Lauridsen |
source |
20 |
| SUGI |
1995 |
A SAS Macro for Estimating Power for ROC Curves: One-Sample and Two-Sample Cases |
Richard Zepp |
source |
3 |
| SUGI |
1995 |
A SAS Macro for the Assessment of Variability in Bioequivalence Trials |
Emmanuel Mohandoss,
Shein-Chung Chow |
source |
5 |
| 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 |
Be Bullish with SASe Financial and Investment Analysis with Ease |
Paul J. Ratnaraj |
source |
10 |
| SUGI |
1995 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang,
Russell D. Wolfinger |
source |
11 |
| SUGI |
1995 |
Conducting Linear Growth Curve Analysis with the SAS System |
Laura Ichikawa,
William E. Barlow |
source |
6 |
| SUGI |
1995 |
Datalog: Motorola's Advanced Semiconductor Fab Data Collection and Control System Using SAS/AF and SAS CL |
Fred Berneche,
James Gutt |
source |
6 |
| SUGI |
1995 |
Generating Bivariate Random Numbers from Normal, Log Normal, and Gamma Distributions Using SAS Software |
Laurie T. Elstun |
source |
3 |
| 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 |
Modeling Variation in Repeated Measures Data |
Ramon C. Littell |
source |
5 |
| SCSUG |
1994 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
6 |
| SCSUG |
1994 |
Intervention Analysis in Vocational Rehabilitation |
David B. Cohen |
|
12 |
| SCSUG |
1994 |
Lead Time to Return |
Harriet Bricha |
|
6 |
| WUSS |
1994 |
Examination of the Importance of Root Hairs in Plant Water-Use Studies by Repeated Measures Analysis |
Carolyn K. Yoder |
source |
4 |
| WUSS |
1994 |
Factors Determining the Fluctuation of the Dow Jones Industrial Index Using SAS Procedures |
JiHong McDermott,
Anne-Marie Mowad |
source |
3 |
| WUSS |
1994 |
SAS in Taming Classical Violations |
Kamal Shoukry |
source |
3 |
| WUSS |
1994 |
The Use of SAS Regression in Analyzing a Major Sporting Event: The Case of the 1994 Masters Tournament |
William Orzeck,
Joseph E. Earley |
source |
5 |
| NESUG |
1994 |
A Program that Analyzes Multiple-Choice Test Results Using Output from SAS's Item Macro |
Marvin S. Margolis |
|
10 |
| NESUG |
1994 |
A SAS Macro Incorporating Discriminant Analystis Techniques |
Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein |
|
9 |
| 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 |
| MWSUG |
1994 |
A Set of SAS Macros for Producing Customized Reports |
Greg A. Grandits,
Ken Svendsen |
|
6 |
| SESUG |
1994 |
Critical Steps to Meaningful Causal Data Analysis |
Deborah Wall |
|
4 |
| SESUG |
1994 |
POSTERS Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/Ar . Frank C. Lieble ill, SAS Institute Inc., Orlando, Florida |
Morgan C. Wang |
|
6 |
| SEUGI |
1994 |
A Statistical Database of Enterprises |
Edit Matjenyi,
Marianne Rudas |
source |
33 |
| SEUGI |
1994 |
Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System |
Paola Baiardi |
source |
10 |
| SEUGI |
1994 |
Evaluation d'Actifs financiers par le modèle d'arbitrage sur le marché Européen |
Frederic Debaere |
|
14 |
| SEUGI |
1994 |
Exploitation d'une enquête pour la constitution d'un panel de réseaux |
D. Lautard,
Frank Jamin |
|
14 |
| SEUGI |
1994 |
Mise àjour du système de prévision de la CAMIF |
Jean-Francois Vergnieres |
|
8 |
| SEUGI |
1994 |
Resampling Using SAS/IML Software Some Medical Applications |
Gina Joubert |
source |
8 |
| SEUGI |
1994 |
Using PROC MIXED on Animal Growth Curves Some Initial Experiences |
Graham Healey |
source |
10 |
| SEUGI |
1994 |
VALITYPO: une Macro pour valider statistiquement une typologie |
Christian Derquenne |
source |
12 |
| SUGI |
1994 |
A Comparison of the GLM, IML, and MIXED Procedures for Use in Spatial Statistical Analyses |
William J. Price,
Bahman Shafii |
source |
6 |
| SUGI |
1994 |
A Set of SAS Macros for Producing Customized Reports |
Greg A. Grandits,
Ken Svendsen |
source |
6 |
| SUGI |
1994 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
source |
6 |
| SUGI |
1994 |
Introduction to Repeated Measures |
William G. LeBlanc |
source |
9 |
| SUGI |
1994 |
Managing Census Data to Improve Public Response |
Jay K. Keller |
source |
9 |
| SUGI |
1994 |
Mixed Model Analysis of Data: Transition from GLM to MIXED |
Ramon C. Littell |
source |
8 |
| SUGI |
1994 |
Using SAS Software for Monte Carlo Simulation |
Vi-Cheng Wu,
James E. McLean |
source |
3 |
| SUGI |
1994 |
Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/AF |
Frank C. Lieble,
Morgan C. Wang |
source |
6 |
| WUSS |
1993 |
A Modification of Two-Stage Least Squares in Quasi-Experiments |
Alex Ezuzides,
Raymond C. Peck |
source |
9 |
| SCSUG |
1993 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
30 |
| MWSUG |
1993 |
Common Industrial Applications of Mixed Models |
Bob Obenchain |
|
10 |
| 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 |
Economic Changes and Transport Modelling |
Eric Dutrieux |
source |
12 |
| SEUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Gerhard Held |
source |
11 |
| SEUGI |
1993 |
Extensions to Multivariate Descriptive Analysis |
Yves Roy |
source |
14 |
| SEUGI |
1993 |
Morphological Analysis Applied to Quality |
Marie-Francois Doutre |
source |
11 |
| SEUGI |
1993 |
The Analysis of Repeated Measures Designs Using the SAS System |
Alun Bedding |
source |
9 |
| SEUGI |
1993 |
Variable Selection Techniques Implemented in Procedures of SAS Software |
Olaf Gefeller |
source |
9 |
| SUGI |
1993 |
An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression |
Tapon Roy |
source |
6 |
| SUGI |
1993 |
Computing and Plotting First-Order Spatial Autocorrelation Statistics Using SAS |
Larry J. Layne |
source |
6 |
| SUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Greg J. Weier,
Randall D. Tobias |
source |
11 |
| SUGI |
1993 |
Generating Confidence in the SAS System: Confidence Intervals for Commonly Used Procedures |
Jose Maria J. Alvir |
source |
4 |
| SUGI |
1993 |
Reliability of Biostatistical Data: A SAS Macro for the Calculation and Presentation of Some Commonly Employed Statistics |
Howard M. Proskin,
Albert Kingman,
William C. Murphy |
source |
10 |
| SUGI |
1993 |
Spectral Decomposition and Reconstruction of Nuclear Plant Signals |
Kristin K. Hoyer,
Kenny C. Gross |
source |
6 |
| SESUG |
1993 |
New SAS Modules for Practical Power Analysis |
Dan Bowling,
Ralph G. O'Brien |
|
9 |
| SESUG |
1993 |
Outliers and Redundant Variables in Principal Component and Factor Analysis |
G. Mora-Aguilera,
R. Kiltiei,
D. Nleto-Angel,
D. Teliz |
|
10 |
| SESUG |
1993 |
Repeated Measures Using PROC MIXED Instead of PROC GLM |
James H. Roger,
Michael Kenward |
|
10 |
| SCSUG |
1992 |
Bodysize Measurement Comparison Using SAS 6.06 |
O. M. Little,
Daniel J. Rahilly |
|
5 |
| 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 |
| NESUG |
1992 |
Data/Variables Reduction by Principal Componets, Battery Reduction and Variable Clustering |
Joseph Massoro,
Zhini Zhang |
|
11 |
| NESUG |
1992 |
Getting to Know Your Data Using SAS |
Felicia Borglum |
|
7 |
| NESUG |
1992 |
More on Business Forecasting With SAS |
Jeffrey Jarrett |
|
5 |
| NESUG |
1992 |
SAS System Alternatives |
SherriJoyce King |
|
7 |
| MWSUG |
1992 |
A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials |
George W. Pasdirtz |
|
6 |
| SEUGI |
1992 |
A SAS/AF Application for Data Samples Analysis |
Gianni Grippa |
source |
11 |
| SEUGI |
1992 |
Analysing Business and Economic Data with SAS/ETS Software |
Georg Morsing |
source |
9 |
| SEUGI |
1992 |
Interface of the SAS System by YAFOOL |
Media Mhiri |
source |
11 |
| SUGI |
1992 |
A SAS Program for Reproducing the Results from the ITEM Procedure |
Shu-Yeng Wong |
source |
5 |
| SUGI |
1992 |
A SAS/IML Program to Simulate Data with Nonnormal Distributions |
Chih-Ping Chou,
Shinn-Tzong Wu |
source |
3 |
| SUGI |
1992 |
Analyzing Business and Economics Data with SAS/ETS Software |
Mark Little |
source |
9 |
| SUGI |
1992 |
CUMULUS, Graphic Representation of Factorial Planes |
Danielle Grange,
Michel Ringenbach |
source |
7 |
| SUGI |
1992 |
Development of the RELIABILITY Procedure Using SAS/TOOLKIT "Software |
Shobha Choudhari,
Chintamani Sahoo |
source |
6 |
| SUGI |
1992 |
Multitrait Scaling Program: MULTI |
Ron D. Hays,
Eric Yu I. Wang |
source |
6 |
| SUGI |
1992 |
Ordination and Display of Multivariate Data |
E. Barry Moser |
source |
10 |
| SUGI |
1992 |
SAMP/AID - Sampling Applications and Demonstrations in Learning Statistics |
Efraim Darom |
source |
5 |
| SUGI |
1992 |
Some Suggested Modifications to the SAS Conjoint Macro_ |
Jairo Castano,
Willem Janssen |
source |
6 |
| SUGI |
1992 |
Testing the Rationality of Panel Data Forecasts Using a GMM Estimator |
Richard H. Cohen |
source |
6 |
| SUGI |
1992 |
The Investigation of Suicide Using SAS Software Procedures: A SAS/ETS Approach |
Seid M. Zekavat |
source |
6 |
| NESUG |
1991 |
Analysis of Higher-Order Crossover Trials |
Jonathan B. Skinner |
|
5 |
| NESUG |
1991 |
Overview of ETS Procedures for Business Forecasting |
Jeffrey Jarrett |
|
4 |
| NESUG |
1991 |
Two Measures of Rating Reliability |
Peter P. Gaccione |
|
7 |
| 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 |
CUMULUS, Graphic Representation of Factorial Plans |
D. Grange,
M. Ringenbach |
source |
7 |
| SEUGI |
1991 |
Inside the SQL Procedure's Query Optimiser |
Juliano Ginevro |
source |
5 |
| SEUGI |
1991 |
Method of Exact Samples for Testing Statistical Packages |
Ene-Margit Tiit,
M. Viil,
S. Koskel |
source |
5 |
| SEUGI |
1991 |
Statistical Evaluation and Forecasting of Steel Corrosion Data |
Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester |
source |
11 |
| 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 Factor Analysis of Employee Attitudes about the Internal Operational and Administrative Characteristics of a City Government |
Anthony C. Waclawski |
source |
8 |
| SUGI |
1991 |
A SAS Program for Choosing Random Unblocked Designs Balanced for Correlation between Neighbors |
I.J. Good,
Eric P. Smith,
David D. Morris |
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 |
Econometric Modeling of Sweetgum Stem Biomass Using the IML and SYSLIN Procedures |
Bernard R. Parresol,
Charles E. Thomas |
source |
6 |
| SUGI |
1991 |
Incorporating Adjustment into Sample Data Products |
Willard Carl Losinger,
Alfredo Navarro |
source |
6 |
| SUGI |
1991 |
Managing Multicollinearity with the SAS System |
Rudolf J. Freund |
source |
9 |
| SUGI |
1991 |
Psychometric Applications with Optical Scanning and Analysis |
W. J. Klein,
Gordon Emslie |
source |
5 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1991 |
Testing Separate Correlations for Homogeneity and Estimating Common Correlations: Extending the Information from the CORR Procedure |
Jose Maria J. Alvir,
Jeffrey A. Lieberman,
Gail Lerner |
source |
3 |
| SUGI |
1991 |
The Null Hypothesis and Regression-Based Predictions |
James A. Penny |
source |
4 |
| 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 |
Exploratory Data Analysis of a Cube of Data by the ACT (STATIS Method) Using SAS/IML and SAS/GRAPH Software |
Pierre Traissac |
source |
8 |
| SEUGI |
1990 |
RV Coefficient and Principal Component Analysis of Instrumental Variables Using SAS/IML Software |
Pascal Schlich |
source |
8 |
| SEUGI |
1990 |
SAS/ASSIST Software: A Programmer's View |
Jan Bakker,
Philip J. Winters |
source |
7 |
| SEUGI |
1990 |
The Analysis of Multiple Endpoints in Clinical Trials |
Lars Frison |
source |
8 |
| SUGI |
1990 |
Analysis of Covariance: Repeated Measures and Split-Plot Designs |
Gilda P. Pareja |
source |
5 |
| SUGI |
1990 |
Analyzing and Reporting Fixed Effects in the Real World |
Christopher S. McFarland |
source |
5 |
| SUGI |
1990 |
Determining Weight Values for EWMA Control Schemes Using the ARIMA Procedure |
John C. Brocklebank |
source |
10 |
| SUGI |
1990 |
How to Stop a Simulation |
Michael A. Greene,
Gretchen K. Jones |
source |
6 |
| SUGI |
1990 |
JMP Tutoria! |
John P. Sall |
source |
8 |
| SUGI |
1990 |
Performance of Multiple Comparisons in Repeated Measures Designs under Nonsphericity |
Steven F. Thomson |
source |
6 |
| 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 |
Resampling-Based Multiple Testing |
Peter H. Westfall,
Youling Lin,
S. Stanley Young |
source |
6 |
| SUGI |
1990 |
The Distribution of Cronbach's Coefficient Alpha from the CORR Procedure of SAS Software |
Andrew J. Cucchiara,
Susan J. Kenny,
J. Paul Costiloe |
source |
6 |
| 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 |
| SEUGI |
1989 |
A SAS/IML Program For Generalised Procrustes Analysis |
Pascal Schlich |
source |
9 |
| SEUGI |
1989 |
Graphical Analysis Of Regional Blood Flow Distribution By Means Of Probability Density Functions |
Rudolf Schosser |
source |
8 |
| SEUGI |
1989 |
HyTAO - An Expert System For Statistical Data Processing |
Markku Korhonen |
source |
13 |
| SEUGI |
1989 |
KORRES - A Program For Multivariate Analysis Of Categorical Data From Contingency Tables |
Harald Rohling,
Jorg Blasius |
source |
20 |
| SUGI |
1989 |
A Workload Characterization Tutorial for Online Systems |
Ellen M. Friedman |
source |
10 |
| SUGI |
1989 |
An Evaluation of Residuals for the Cox Model |
William E. Barlow,
Shan-Pin Fanchiang |
source |
6 |
| SUGI |
1989 |
Assessing Capability of a Bivariate Process with Emphasis on Hole Location |
Douglas L. Berg,
Melinda J. DeCoste,
Robert Nagel |
source |
4 |
| SUGI |
1989 |
Building a Scientific Computing Environment Using the SAS System |
Jody J. Fromer |
source |
2 |
| SUGI |
1989 |
Confounding of Effects in Equal n Designs: Factorial ANCOVA |
Scott E. Maxwell,
Harold D. Delaney |
source |
6 |
| SUGI |
1989 |
Database Management Techniques to Ensure Project Integrity |
Susan Campbell,
Jeffery Finkeldey |
source |
3 |
| SUGI |
1989 |
Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC |
Gary William Carr,
Gerald Tlapa |
source |
8 |
| SUGI |
1989 |
How to Perform Jonckheere's Test Using the CORR Procedure |
E. Jacquelin Dietz,
Richard W. Morris |
source |
3 |
| SUGI |
1989 |
Issues Related to Analyzing Repeated Measurement Data |
Ramon C. Littell,
Jane Pendergast |
source |
|
| SUGI |
1989 |
Most Creative Use of the Software-Monochrome |
Leslie Worf |
source |
116 |
| 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 |
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 |
GBLAND: A Graphical SAS Macro for Statistical Analysis of Measurement Method Comparison and Measurement Repeatability |
Bob Day,
Retha Keyser |
source |
10 |
| SEUGI |
1988 |
New Developments in Psychometric and Market Research Procedures |
Gerhard Held |
source |
5 |
| SUGI |
1988 |
A SAS Macro for Computing Pooled Intragroup Correlation Coefficients and Testing for Group Homogeneity |
Norman A. Constantine,
Michael S. Shing |
source |
4 |
| SUGI |
1988 |
An Expert System Interface |
Julie A. Elston,
David J. Purdon |
source |
5 |
| SUGI |
1988 |
Estimation of Row and Column Scores in the Linear-by-Linear Model for Two-Way Ordinal Contingency Tables |
Charles S. Davis |
source |
6 |
| 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 |
Multivariate Normal Plotting Using Ordered Mahalanobisn Distances |
NamJun Kang |
source |
6 |
| SUGI |
1988 |
New Developments in Pyschometric and Market Research Procedures |
Warren F. Kuhfeld,
Forrest W. Young |
source |
5 |
| SUGI |
1988 |
Regression and the SAS System: An Overview |
Rudolf J. Freund |
source |
9 |
| SUGI |
1988 |
Repeated Measures Analysis with the SAS System |
Ramon C. Littell,
Jane Pendergast |
source |
7 |
| SUGI |
1988 |
Time-Series Investigation of Anomalous Thermocouple Responses in a Liquid-Metal-Cooled Reactor |
Kenny C. Gross,
H. Pete Planchon,
J. Poloncsik |
source |
4 |
| SUGI |
1988 |
Using the SAS System for Analysis of Dissertation Data |
Twila Faye Turpen |
source |
6 |
| SEUGI |
1987 |
F-G Diagonalisation Using PROC MATRIX and Macro Language |
Marco Vaccari |
source |
14 |
| SEUGI |
1987 |
Factor Analysis An Annotated Example |
Marcus Schmidt |
source |
23 |
| SEUGI |
1987 |
Some Methods in Multivariate Exploratory Data Analysis |
Warren F. Kuhfeld |
source |
11 |
| SUGI |
1987 |
A SAS Macro for Estimating Missing Values in Multivariate Data |
Gina M. Capalbo,
James S. Roberts |
source |
3 |
| SUGI |
1987 |
Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations |
Herbert Hamilton |
source |
6 |
| SUGI |
1987 |
SAS System Statistical Procedures Applied to the Analysis of Water Quality Data |
Paul D. Mowery |
source |
10 |
| SUGI |
1987 |
Some Applications of PROC MATPAR: Match Pair Partial Correlation Procedure |
Chun Chen,
Robert E. Johnson |
source |
6 |
| SUGI |
1987 |
Strategies for Repeated Measures Analysis of Variance |
Phil Spector |
source |
4 |
| SUGI |
1987 |
Transfer Functions using PROC ARIMA |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| 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 |
| SUGI |
1987 |
VISUALS: Experimental Software for Dynamic Hyperdimensional Graphics |
Douglas P. Kent,
Warren F. Kuhfeld,
Forrest W. Young |
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 Macro Library for Classical and Robust Multivariate Modeling |
Kathryn S. Fletcher,
E. James Harner |
source |
3 |
| SUGI |
1986 |
Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures |
Mary Lynn Spada |
source |
4 |
| SUGI |
1986 |
Automatic Generating of Simple Repetitive SAS Code |
Marianne Cumming,
H. Ian Whitlock |
source |
6 |
| SUGI |
1986 |
Checking for Autocorrelation in Regression Residuals |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1986 |
Financial Forecasting Through SAS Macro Processes |
Heydar Pourian |
source |
6 |
| SUGI |
1986 |
Performing the X1 1ARIMA Seasonal Adjustment |
John C. Brocklebank,
David A. Dickey |
source |
10 |
| SUGI |
1986 |
Refining Scales: Some Considerations When Using Factor Analysis and Guttman Scaling |
Matthew Schall |
source |
5 |
| SUGI |
1986 |
The Effect of Centering on the Condition Number of Polynomial Regression Models |
Robert B. Bendel |
source |
5 |
| SUGI |
1986 |
Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement |
John M. Koester,
Kathleen Mellars,
Harji I. Patel |
source |
6 |
| SUGI |
1986 |
Weighted Ridge Estimation in a Collective Bargaining Context |
Teresa Ghilarducci,
Lawrence C. Marsh |
source |
6 |
| SEUGI |
1985 |
Creating Sample Program Brochures Using DCF |
Rolf Steenge |
source |
9 |
| SEUGI |
1985 |
Statistical Enahancements to the SAS System |
Gerhard Held |
source |
20 |
| SUGI |
1985 |
A Quadratic Program for Determining Efficient Frontier Portfolio Compositions Using the SAS Language |
Alex Anckonie III |
source |
6 |
| SUGI |
1985 |
Bootstrap Computations |
Robert Tibshirani |
source |
5 |
| SUGI |
1985 |
Estimating Autocorrelations and Crosscorrelations where Missing Values are Present: A SAS Macro |
Pan-Yu Lai,
Kenneth M. Portier |
source |
5 |
| SUGI |
1985 |
Multivariate Data Analysis Using the SAS System |
E. James Harner |
source |
6 |
| SUGI |
1985 |
Performance Analysis of Superheater Data from an Operating Nuclear Reactor |
Kenny C. Gross,
B.R. Seidel |
source |
6 |
| 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 Software for Stratified Analysis |
William M. Stanish |
source |
6 |
| SUGI |
1985 |
Selection of Variables for Identification of Transfer Function Models on SAS Software |
James A. Deddens,
Wang Ping |
source |
6 |
| SUGI |
1985 |
STARS and FACES - Procedures for Constructing Graphical Profiles of Multivariate Data |
Harold W. Gugel |
source |
6 |
| SEUGI |
1984 |
New Statistical Features in SAS |
Gerhard Held |
source |
13 |
| SUGI |
1984 |
A Hierarchical Approach to Daily Stock Market Forecasting |
Heydar Pourian |
source |
6 |
| SUGI |
1984 |
A SAS Macro for Increasing the Reliability of a Binary Test Using Item Interactions |
Robert J. Jannarone,
James S. Roberts |
source |
5 |
| SUGI |
1984 |
A SAS Macro for Performing Repeated Significance Testing in Censored Survival Analyses |
Gordon W. Davis,
James F. Ward |
source |
6 |
| SUGI |
1984 |
BESTREG: A Procedure for Computing "BEST "Regression Subsets |
Harold W. Gugel |
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 |
Estimating a Transformation Between Projections Using Least Squares |
Paul W. Fingerman,
Marcia A. Tolbert |
source |
3 |
| SUGI |
1984 |
Forecasting Customer Air Conditioner Loads and Load Drops for Electric Utility Load Management Program Planning |
Marjorie R. McRae,
Richard M. Scheer,
Bruce A. Smith,
Louise Weiler |
source |
4 |
| SUGI |
1984 |
Generating Bivariate Exponential Distributions via SAS Macros with Application to Repeated Measures Designs |
Melvin Moeschberger,
P. K. Tandon |
source |
4 |
| SUGI |
1984 |
Interfacing SAS Software with the SCA System: the SCALINK Procedure |
Lon-Mu Liu,
Houston H. Stokes |
source |
6 |
| SUGI |
1984 |
On the Study of Clusters with Factor Analysis |
Eric Deaton,
Richard Israel |
source |
6 |
| SUGI |
1984 |
Power Analysis for Multivariate Linear Models: New Results and SAS Software Make It Practical |
Keith E. Muller,
Bercedis L. Peterson |
source |
6 |
| SUGI |
1984 |
Predicting Prison Population With the SAS/ETS Product |
Steven P. Davis |
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 |
Repeated Measures Analysis in PROC GLM |
Phil Spector |
source |
10 |
| SUGI |
1984 |
Residential Energy Forecasting: A Pragmatic Application of Box-Jenkins |
Michael F. Jacob |
source |
6 |
| SUGI |
1984 |
SAS Methods for the Rank Regression Model with Missing Values |
R. Michael Rubison,
Michael K. Thran |
source |
5 |
| SUGI |
1984 |
Technical Exposition of Graphical Tools in Survival Analysis |
Gregory G. Enas,
C. David Hardison,
Frank W. Rockhold |
source |
6 |
| SUGI |
1984 |
The Use of the SAS System under VM/CMS in Teaching Introductory Statistics: A Model for Instructing First-Time Computer Users |
Delwyn L. Harnisch,
Carolyn J. Palmer |
source |
4 |
| SUGI |
1984 |
Transferring Data Between the SAS System and FOCUS |
Edward P. Spotnitz |
source |
3 |
| SEUGI |
1983 |
Repertory Grid Analysis using SAS |
Henry Wynn,
Mark Elliott,
Sema Cemal |
|
17 |
| SEUGI |
1983 |
Use of SAS Regression Techniques for Capacity Planning |
E. M. McCall |
|
9 |
| SUGI |
1983 |
A Diagnostic Tool for Mixed Models with Application to Negative Estimates of Variance Components .. |
Ronald R. Hocking |
source |
|
| SUGI |
1983 |
Analyzing Congressional Career Patterns Using SAS |
Robert G. Brookshire,
Claudia C. Putnam |
source |
7 |
| SUGI |
1983 |
Multi-Time-Period NLIN Regression |
William J. Harrison |
source |
|
| SUGI |
1983 |
Obtaining Part and Bipartial Canonical Correlation Estimates from PROC CANCORR: A Biomedical Application |
Steven N. Blair,
David A. Ludwig |
source |
3 |
| SUGI |
1983 |
Offense, Defense, and Causality in Baseball |
Charles F. Hofacker |
source |
5 |
| SUGI |
1983 |
Percentile Matching: An Alternative Method of Curve Fitting |
James H. Smith |
source |
5 |
| SUGI |
1983 |
PROC MATRIX Macros for the Generalized Incomplete Model (GIM) and for the Multiple Design Matrix Model (MDM) |
Diane Fairclough,
Ronald W. Helms |
source |
6 |
| SUGI |
1983 |
Randomization Tests |
Robert M. Hamer |
source |
9 |
| SUGI |
1983 |
SAS Macros for F-test Power Computations in Balanced Experimental Designs |
Andrew J. L. Cary |
source |
|
| SUGI |
1983 |
Software for Statistical Graphics-An Overview |
Patricia M. Caporal,
C.J. Hahn |
source |
10 |
| 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 |
Treating Multicollinearity with SAS |
William J. Wilson |
source |
6 |
| SUGI |
1983 |
Variance Estimation from Multi-Stage Sample Survey Data: The Jackknife Repeated Replicate Approach |
William D. Kalsbeek,
James Rochon |
source |
6 |
| SUGI |
1982 |
An Algorithm for Changing a Matrix in Correlation Form into a Positive Definite Matrix with a Certain Condition Number |
George A. Milliken |
source |
5 |
| SUGI |
1982 |
Approaches to Estimating Covariance Matrices with Partial Multinomial Data |
Mark W. Riggs,
W.B. Smith |
source |
10 |
| SUGI |
1982 |
BCAS - A USER FRIENDLY INFORMA'IION SYSTEft INCORPORATING SAS AND RAns |
Arthur Bocian |
source |
5 |
| SUGI |
1982 |
Graphical Display of Scatter Data Using the Standard Deviation Ellipse |
Charles G. Margolin,
Charles E. Shipp |
source |
6 |
| SUGI |
1982 |
Linear Models with Dominant Variables |
Peter S. Lufkin |
source |
6 |
| SUGI |
1982 |
New Time Series Features in SAS |
David M. DeLong |
source |
3 |
| SUGI |
1982 |
PROC PARCAT: A Procedure for Testing Average Partial Association |
Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz |
source |
6 |
| SUGI |
1982 |
PROC TETCORR: Correlations between Categorical and Continuous Variables. |
J. Philip Miller,
Michael A. Province,
Reimut Wette |
source |
4 |
| SUGI |
1982 |
SAS/GRAPH and the Geometryof Statistical Distributions |
Charles F. Hofacker,
Paul Hoffman |
source |
8 |
| SUGI |
1982 |
SCAN: An Interactive Graphics SAS Procedure for Specialized Correlation Analysis of Bivariate Data |
David A. DeNardis,
Robert N. Rodriguez |
source |
6 |
| SUGI |
1982 |
Training Statistical Consultants in a University Biostatistics Consulting Center |
Ronald G. Marks |
source |
4 |
| SUGI |
1982 |
Use of SAS to Analyze Experiments Conducted over Time with Multivariate Responses and Autocorrelated Errors |
Walter W. Stroup |
source |
7 |
| SUGI |
1982 |
What is Cognitive Complexity? Alternative Scoring Procedures for the Modified Rep Test |
Tom Trabin,
Phillip K. Wood |
source |
6 |
| SUGI |
1981 |
Asymmetry and Regression |
Philip Harris Monchar |
source |
5 |
| SUGI |
1981 |
Community Information Indices |
Michael P. Farrell,
C. Pennington,
H. Polovino,
Rodney H. Strand |
source |
|
| SUGI |
1981 |
Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques |
James D. Hosking |
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 |
Relative Risk Estimation from Epidemiologic Studies of Matched Sets |
Elizabeth J. Martin,
Judith H. Mopsik,
Linda Williams Pickle |
source |
5 |
| SUGI |
1981 |
Reprint File Management Using SAS |
Charles S. Davis |
source |
|
| SUGI |
1981 |
Similarity Measures: SAS Macros for Calculating Rank Correlations and Jackknife Estimates of NESS Indices |
Pauline L. McCreight,
John M. Rinehart |
source |
|
| 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 |
Using Spatial Statistics to Produce Risk Qualified Maps |
R. A. Bilonick |
source |
|
| SUGI |
1980 |
A Macro for Multivariate Randomization Analyses of Stratified Sample Data |
Ingrid A. Amara,
Gary G. Koch |
source |
11 |
| SUGI |
1980 |
A SAS Macro for Computing the Kappa Statistic to Assess Reliability |
John Helzer,
John Rice,
Edward L. Spitznagel |
source |
5 |
| SUGI |
1980 |
Box-Jenkins Time Series Method and Computer Packages |
Syed Shahabuddin |
source |
5 |
| SUGI |
1980 |
Fitting Time Series Using SAS |
David M. DeLong |
source |
5 |
| SUGI |
1980 |
Guttman Scale Analysis |
David C. Blouin |
source |
4 |
| SUGI |
1980 |
Management and Performance Reporting in an MVS Environment |
Mario M. Morino |
source |
|
| SUGI |
1980 |
PROC MATPAR: A SAS Procedure for Calculating Matched-Pair Partial Correlations |
Robert E. Johnson,
Dana Quade |
source |
6 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1979 |
A SAS Macro for Ridge Analysis of Multivariate General Linear. Models |
Kenneth A. Hardy,
Again N. Sinha |
source |
5 |
| 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 |
SAS Macros for Analyzing Growth Curves |
Carlos A. Gonzalez |
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-: 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 |
Analysis of a Repeated Measurement Experiment with Incomplete Data |
William L. Sanders |
source |
4 |
| SUGI |
1978 |
IPFPHC: A SAS Procedure for Hierarchical Clustering Using Transaction Flow Tables |
Daniel M. Chilko,
P. B. Slater |
source |
5 |
| SUGI |
1978 |
Some Applications of the Discriminant Function Procedure |
Emilio A. Icaza,
Kenneth L. Koonce |
source |
4 |
| SUGI |
1977 |
A Parsimonious Approach to Data Transformations |
J. Philip Miller |
source |
5 |
| SUGI |
1977 |
Interfacing a General Factoring Program with SAS: PROC MUFACT |
Richard J. Hoffman,
Joseph C. Simpson |
source |
|
| SUGI |
1977 |
Really General Linear Multivariate Model Analysis |
Alvin M. Best III,
Ronald W. Helms |
source |
6 |
| 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 |
NPAR Using SAS 75 |
Daniel M. Chilko |
source |
4 |
| 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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