| WUSS |
2026 |
A Weighted Deming Regression SAS Macro |
Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza |
source |
29 |
| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| WUSS |
2026 |
Stress Testing Your Findings: E-Values and Quantitative Bias Analysis in SAS |
Mehrnaz Siavoshi |
source |
13 |
| PharmaSUG CN |
2026 |
A Comprehensive R Shiny Application for Pharmacokinetic Analysis |
Keyi Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation |
Jingbo Zhu,
Jiehan Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools |
Jiayi Chen,
Meiqing Huang |
source |
13 |
| PharmaSUG |
2026 |
Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials |
Nishanth Chinthala,
Alexandr Hromcenco |
source |
5 |
| PharmaSUG |
2026 |
Linear versus Log-Log Confidence Intervals for Kaplan-Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 |
Prayag Shah |
source |
8 |
| PharmaSUG |
2026 |
Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy |
Girish Kankipati,
Bala Rajesh Jakka |
source |
20 |
| 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 |
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation |
Lida Gharibvand |
source |
31 |
| PHUSE US |
2026 |
Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies |
Ummul Vara Qurratul Ain |
source
presentation source |
10 |
| PHUSE US |
2026 |
Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata |
Ji Qi,
Kaixiang Li |
source
presentation source |
5 |
| PHUSE US |
2026 |
From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis |
Adler Moisés Fallas Rodríguez |
source
presentation source |
8 |
| PHUSE US |
2026 |
Is There Really Any Benefit to Stratified Randomisation in Practice? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF |
Soumitra Kar,
Novo Nordisk GBS |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation |
Mugdha Joshi |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers |
Likhita Kolli,
Tuhin James Paul |
source
poster source |
12 |
| PHUSE APAC |
2026 |
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 APAC |
2026 |
Real- World Safety Evaluation through Electronic Medical Record: A Transformative Approach to Korean Post-Marketing Surveillance |
Ha-Yeong Gil,
Yeo Rae Moon,
YongHyun Cho,
Seung-Hee Jeong |
source
poster source |
3 |
| PHUSE EU |
2025 |
Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments |
Shrutimita Pokhariyal |
source
presentation source |
7 |
| PHUSE EU |
2025 |
Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE EU |
2025 |
One sample Log-Rank test for one sample survival studies: SAS code vs R code |
Giulio Pacini,
Menarini Ricerche,
Giulia Tonini,
Menarini Ricerche,
Simona Scartoni,
Menarini Ricerche |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials |
Stefan Thoma |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Statistical Endpoints and Analysis in Diagnostic Imaging: The Matrix Has You and Your Data |
Srinivas Lanka,
James Sykes |
source
presentation source |
17 |
| PHUSE EU |
2025 |
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks |
Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede |
source
poster source |
13 |
| SESUG |
2025 |
Investigation of the Wage Gap between Sexes in Agriculture |
Jordyne Lewis |
|
10 |
| SESUG |
2025 |
Time Series Analysis and Forecasting of U.S. Teenage Female Unemployment |
Sekyiwaah Nuamah |
|
21 |
| SESUG |
2025 |
Time Series Analysis of Quarterly Air Traffic Passenger Counts at San Francisco International Airport |
Trenzy Odero,
Mostafa Zahed |
|
16 |
| SESUG |
2025 |
Versatile Graphic Presentation of Immunogenicity Analysis Results in Vaccine Studies with a Macro that Creates Multiple Forest Plots in One Output |
Hong Wang |
|
9 |
| WUSS |
2025 |
Automating Clinical Study Reports: A Modular Framework for Continuous Data Reporting |
William Wei |
source |
7 |
| PharmaSUG |
2025 |
A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mantel-Haenszel Weights |
Mikhail Melikov,
Brian Mosier |
source |
9 |
| PharmaSUG |
2025 |
AI-Assisted Transition: from SAS to RStudio for PK Summary Analysis |
Shiqi Lin |
source |
9 |
| PharmaSUG |
2025 |
Clopper Pearson CI? get your data ready for it! |
Ruth Marisol Rivera Barragan,
Isaac Vazquez |
source |
7 |
| PharmaSUG |
2025 |
How to compute common clinical trials statistics in R |
Oleksandr Babych |
source |
15 |
| PharmaSUG |
2025 |
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis |
Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin |
source |
11 |
| PharmaSUG |
2025 |
Programming Perspectives for Efficient and Accurate C-QTc Analysis |
Lingjie Zhang,
Lata Maganti,
Richard Moreton,
Runcheng Li |
source |
11 |
| PharmaSUG |
2025 |
R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session |
Praneeth Adidela |
source |
12 |
| PharmaSUG |
2025 |
Super Learner for Predictive Modeling and Causal Analysis |
Honghe Zhao,
Clay Thompson,
Michael Lamm |
source |
9 |
| PharmaSUG |
2025 |
Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action |
Naquan Ishman,
Dave Kestner |
source |
10 |
| PHUSE US |
2025 |
Comparing Confidence Intervals for a Difference in Adjusted Predicted Probabilities |
Cralen Davis,
Trevano Dean |
source
presentation source |
5 |
| PHUSE US |
2025 |
More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance |
Jasperlynn Kao,
Elnaz Ghadimi |
source
presentation source |
4 |
| PHUSE US |
2025 |
Predictive Analytics for Adverse Event Underreporting |
Steven A. Gilbert |
source
presentation source |
10 |
| PHUSE US |
2025 |
Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges |
Jaskaran Singh Saini |
source
presentation source |
11 |
| PHUSE EU |
2024 |
Comparison of the Wilcoxon-Signed Rank Test with the Hodges-Lehmann Estimator in SAS, R and StatXact as Part of the PHUSE CAMIS Project |
Agnieszka Tomczyk,
Lyn Taylor |
source
presentation source |
7 |
| PHUSE EU |
2024 |
Using RWD to Inform the Next Study: A Case Study [presentation] |
Jean-Marc Ferran |
source |
22 |
| SESUG |
2024 |
Creating a Publication-Quality Multi-Panel Graph For Generalized Linear Model Analysis. |
Neeta Shenvi |
source |
19 |
| SESUG |
2024 |
Forecasting U.S. Unemployment Rates Using ARIMA: A Time Series Analysis from 1948 to 2019 |
Shanice Douglas |
source |
11 |
| SESUG |
2024 |
Streamlining Vaccine Study Output Generation with a Versatile Efficacy Macro |
Zhengyang Shi |
source |
6 |
| WUSS |
2024 |
Integration of an R Language Function Within SAS to Perform Conditional Multivariate Saddlepoint Approximation |
Christopher Johnson |
source |
8 |
| WUSS |
2024 |
Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System |
Jesse Albert Canchola |
source |
13 |
| WUSS |
2024 |
Regression Analysis Made Easy Using SAS Studio |
Zheyuan (Walter) Yu |
source |
42 |
| PharmaSUG CN |
2024 |
Application of I&I Late Phase in Programming |
Renxiang Wang |
source |
15 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li,
Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC |
Danxia Hu,
Mandy Gao,
Jianyong Tong |
source |
10 |
| PharmaSUG |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PharmaSUG |
2024 |
Semi-Automated and Modularized Approach to Generate Tables for Clinical Study - Categorical Data Report |
William Wei,
Shunbing Zhao |
source |
8 |
| PharmaSUG |
2024 |
The Survival Mode |
Varsha Ganagalla,
Natalie Johnson |
source |
12 |
| PHUSE US |
2024 |
SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation |
Anush Kurghinyan,
Shahrzad Talebian |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Comparing Analysis Method Implementations in Software (CAMIS): An Open Source Repository to Document Differences in Statistical Methodology Across Software |
Christina Fillmore |
source
presentation source |
7 |
| WUSS |
2023 |
D-I-D the policy have an impact? Difference-in-difference methods applied to survey data in SAS |
Melanie Dove |
source |
7 |
| WUSS |
2023 |
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 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| SESUG |
2023 |
Binning Predictors for Logistic Regression |
Bruce S. Lund |
source |
25 |
| SESUG |
2023 |
Forecasting Goals for Student Success Metrics in Accountability Performance Reporting using SAS Visual Analytics |
Xiaoying Liu,
Hennadii Balashov |
source |
9 |
| SESUG |
2023 |
How to use SAS POWER procedure to plan a study |
Xiaofeng (Steven) Liu |
source |
4 |
| 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 |
SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes |
Elaine Kowalewski,
Ann Marie K. Weideman,
Gary G. Koch |
source |
11 |
| PharmaSUG |
2023 |
Display Layout Specifications to Flexibly Design and Generate Tables |
Songgu Xie,
Michael Pannucci,
Toshio Kimura |
source |
11 |
| PharmaSUG |
2023 |
Guidelines for the Statistical Analysis in German Dossier Submissions |
Meiling Gao,
Xi Qian,
Hui Mao |
source |
8 |
| PharmaSUG |
2023 |
Introducing TFL Designer: Community Solution to Automate Development of Mock-up Shells and Analysis Results Metadata [presentation] |
Bhavin Busa,
Navin Dedhia |
source |
13 |
| PharmaSUG |
2023 |
Life Table Analysis for Time to First Event Onset |
Abhinav Srivastva |
source |
11 |
| PharmaSUG |
2023 |
Sensitivity Analysis for Missing Data Using Control-based Pattern Imputation |
Jun Feng,
Jingmin Liu |
source |
7 |
| PharmaSUG |
2023 |
Survival Methods for Crossover in Oncology Trials |
Brian Mosier |
source |
18 |
| PHUSE US |
2023 |
Display Layout Specifications to Flexibly Design and Generate Tables [presentation] |
Songgu Xie,
Michael Pannucci |
source
video |
29 |
| PHUSE US |
2023 |
FORESTLY - An R Package to Generate Interactive Forest Plots |
Bingjun Wang,
Yilong Zhang |
source
presentation source |
14 |
| PHUSE US |
2023 |
How to Customize Survival Curves in R and Add Interactivity |
Oleksandr Babych |
source
presentation source |
9 |
| PHUSE US |
2023 |
SPECification DOCument (SPECDOC): Automating Text for Data Description, Statistical Methods, and Analysis Results for Medical Communications [presentation] |
Michael Pannucci |
source |
20 |
| PHUSE US |
2023 |
The FiguRes Package for Supporting Large Scale Figure Production with Applications to Clinical Trial Reporting Efforts |
Greg Cicconetti |
source
presentation source |
19 |
| PHUSE EU |
2022 |
Advanced SAS techniques to Generate Automated Topline RTF Reports - Used Daily by PMs |
Mizan Alam |
source
presentation source |
15 |
| PHUSE EU |
2022 |
Inference from weighted subjects |
Andrea Parodi |
source
poster source |
4 |
| PHUSE EU |
2022 |
Veranet: R Shiny Meets Network Meta-Analysis and Data Visualisation [presentation] |
Anton Schönstein |
source
video |
21 |
| SESUG |
2022 |
A SAS Macro to Calculate Blinding Index in Clinical Trials: %blinding_index, an application of PROC IML |
Jingwei Wu,
Di Zhu |
source |
7 |
| WUSS |
2022 |
Customizable SAS Graphs for Bias Analysis |
Natasha Oza,
Jesse Albert Canchola |
source |
26 |
| PharmaSUG |
2022 |
An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design Accounting for Actual and Planned Sample Sizes |
Mikhail Melikov,
Alex Karanevich |
source |
8 |
| PharmaSUG |
2022 |
Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions |
Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu |
source |
14 |
| PharmaSUG |
2022 |
Estimating Differences in Probabilities (Marginal Effects) with Confidence Interval |
Jun Ke,
Kelly Chao,
Corey Evans |
source |
4 |
| PharmaSUG |
2022 |
Two Methods to Collapse Two Treatment Groups into One Group |
Kenneth S. Liu,
Ziqiang Chen |
source |
6 |
| PHUSE US |
2022 |
Using the Geometric Properties of Datasets to Analyze the Accuracy of COVID-19 Forecasting Models [presentation] |
Irina Kotenko,
Kostiantyn Drach |
source |
30 |
| PHUSE EU |
2021 |
A Beginner's Guide to Data Analysis |
Shuva Dey |
source
video |
15 |
| PHUSE EU |
2021 |
Bringing to Light - Analysis Results Metadata v1.0 for Define-XML v2 [presentation] |
Hrishikesh K S,
Limna Salim |
source
video |
11 |
| PHUSE EU |
2021 |
Comparison of PROC REPORT SAS and FLEXTABLE Package of R [presentation] |
Abu Zafar Mohammad Sami |
source
video |
23 |
| PHUSE EU |
2021 |
Easy Parallel Processing in SAS/BASE: A Case Study [presentation] |
Anna Socha,
Paul Wicks |
source
video |
17 |
| PHUSE EU |
2021 |
Let's ROC: An Empirical Approach to Confidence Intervals of Receiver-Operator Characteristic Curves [presentation] |
Alexander Ullmann,
Sanna Ström |
source
video |
41 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| PHUSE US |
2021 |
A Bayesian Approach to Detection of Treatment-related Effects in Toxicology Studies by Borrowing Information from Historical Control Animals [presentation] |
Kevin Snyder,
Md Yousuf Ali |
source
video |
15 |
| PHUSE US |
2021 |
Graphs Made Easy Using SAS Graph Template Language |
Manohar Modem |
source
video
presentation source |
27 |
| PHUSE US |
2021 |
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions |
Han Fu,
Shahrul Mt-Isa |
source
video
presentation source |
10 |
| PHUSE US |
2021 |
Software Demonstration: SD14: Accelerate your Transition to R in 4 months: Learn About the Accel2R Accelerated Learning Program [presentation] |
Steve Walker |
source |
22 |
| PHUSE US |
2021 |
Standing Room Only Presentation: DS06: CDISC Analysis Results Standard [presentation] |
Bess LeRoy |
source |
25 |
| PharmaSUG |
2021 |
A Macro for Point Estimate and Confidence Interval of the Survival Time Percentiles |
Hengwei Liu |
source |
8 |
| PharmaSUG |
2021 |
A Strategy to Develop Specification for R Functions in Regulated Clinical Trial Environments |
Aiming Yang,
Yalin Zhu,
Yilong Zhang |
source |
11 |
| PharmaSUG |
2021 |
Customize and Beautify Your Kaplan-Meier Curves in Simple Steps |
John Henderson,
Lili Li |
source |
7 |
| PharmaSUG |
2021 |
Graphs Made Easy Using SAS Graph Template Language |
Manohar Modem,
Bhavana Bommisetty |
source |
31 |
| PharmaSUG |
2021 |
SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses |
Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang |
source |
9 |
| PharmaSUG |
2021 |
Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers |
Yun (Julie) Zhuo |
source |
10 |
| SGF |
2021 |
Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data |
Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang |
source
presentation |
7 |
| SGF |
2021 |
Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All |
Zhengming Chen,
Bowen Zheng |
source
presentation |
11 |
| SGF |
2021 |
Survey Data Analysis Made Easy With SAS |
Melanie Dove,
Katherine Heck |
source
presentation |
8 |
| SGF |
2021 |
The Potential of Simulation Technologies: Multi-Agent Simulation and Reinforcement Learning |
Satoki Fujita,
Shogo Miyazawa,
Ryo Kiguchi,
Yuki Yoshida,
Katsunari Hirano,
Yoshitake Kitanishi |
source
presentation |
14 |
| PHUSE EU |
2020 |
Comparison of Different SAS Procedures for Conducting Statistical Hypothesis Tests and Calculation of 95% Confidence Intervals in Clinical Trials [poster] |
Daryna Havrysh |
source
video |
1 |
| PHUSE EU |
2020 |
Improve Programming and Traceability with Datasets for Statistical Analysis Results |
Henning Pontoppidan Föh,
Jeppe Juul |
source
video
presentation source |
4 |
| PHUSE EU |
2020 |
Using the FCMP Procedure to Streamline the Production of Display Statistics in Output Tables |
Paul Wicks,
Anasooya Anoop,
Anna Socha |
source
video |
4 |
| SESUG |
2020 |
Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students |
Abbas S. Tavakoli |
source |
13 |
| SGF |
2020 |
Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt |
Alex Chaplin |
source |
16 |
| SGF |
2020 |
Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure |
L. Grisell Diaz-Ramirez,
Bocheng Jing |
source |
10 |
| SGF |
2020 |
Survey Data Analysis Made Easy wth SAS |
Melanie Dove,
Katherine Heck |
source |
8 |
| SGF |
2020 |
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
23 |
| SGF |
2020 |
Transdermal Medicine - Challenges and Solutions with SAS |
Marina Komaroff |
source |
14 |
| SGF |
2020 |
Use SAS to Model Non-Linearity |
Xiaoting Wu,
Donald S. Likosky |
source |
12 |
| SGF |
2020 |
Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities |
Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield |
source |
15 |
| PharmaSUG |
2020 |
%MVMODELS: a Macro for Survival and Logistic Analysis |
Jeffrey P. Meyers |
source |
23 |
| PharmaSUG |
2020 |
A SAS Macro for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design |
Alex Karanevich,
Michael Ames |
source |
5 |
| PharmaSUG |
2020 |
Calculation of Cochran-Mantel-Haenszel Statistics for Objective Response and Clinical Benefit Rates and the Effects of Stratification Factors |
Girish Kankipati,
Chia-Ling (Ally) Wu |
source |
8 |
| PharmaSUG |
2020 |
Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript |
Shuozhi Zuo,
Hong Yan |
source |
11 |
| PharmaSUG |
2020 |
End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA |
Joy Zeng,
Varaprasad Ilapogu,
Xinping Cindy Wu |
source |
12 |
| PharmaSUG |
2020 |
Preparing a Successful BIMO Data Package |
Elizabeth Li,
Carl Chesbrough,
Inka Leprince |
source |
20 |
| PharmaSUG |
2020 |
Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate |
Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni |
source |
10 |
| PHUSE US |
2020 |
Data Science Project (Educating for the Future Working Group) |
Aldir Medeiros Filho,
Sascha Ahrweiler |
source
presentation source |
10 |
| PHUSE US |
2020 |
Handling Missing Data in Clinical Trials: Techniques and Methods |
Pennidhi Karlakunta,
Naveen Kommuru |
source
presentation source |
9 |
| PHUSE EU |
2019 |
Analysis of composite endpoints using the Win-Ratio method in SAS |
Murat Ipek |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Bioequivalence Testing for Highly Variable Drug Products (HVDPs) |
James R. Johnson |
source
presentation source |
9 |
| SESUG |
2019 |
Extending the Finkelstein-Schoenfeld test and Win Ratio to three composite Outcomes Using SAS |
Matheos Yosef,
Shokoufeh Khalatbari,
Scott Hummel |
source |
4 |
| SESUG |
2019 |
Introduction to Propensity Score Modeling and Treatment Effect Estimation |
Jason Brinkley |
source |
13 |
| SESUG |
2019 |
Smoothing 3D mortality rates due to drug overdose and displaying death patterns with SAS/JMP software |
Nancy Han,
Rong Wei |
source |
10 |
| SESUG |
2019 |
The Thorn in My Side!! Logistic Regression Continuous Variables that Violate the Assumption of Linearity on the Log-odds (Logit) Scale: How to Identify and What to Do? |
Janet M. Grubber,
Cynthia J. Coffman |
source |
13 |
| SESUG |
2019 |
User-Defined Functions that Concatenate Statistics for Standard Reporting |
Martha Wetzel |
source |
6 |
| MWSUG |
2019 |
Logistic Regression, Basics and Beyond |
Bruce S. Lund |
|
35 |
| MWSUG |
2019 |
Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes |
Michael G. Wilson |
|
19 |
| WUSS |
2019 |
A strategy for speed Dating |
YuTing Tian |
source |
21 |
| WUSS |
2019 |
Limit of Detection (LoD) Estimation Using Maximum Likelihood from (Hit) Rate Data: The LoD_MLE SAS Macro |
Jesse Albert Canchola,
Jeffrey E. Vaks,
Shaowu Tang |
source |
11 |
| 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 |
| PharmaSUG |
2019 |
F2Plots: Visualizing relative treatment effects in cancer clinical trials |
Yellareddy Badduri |
source |
9 |
| PharmaSUG |
2019 |
Forest Plots for Beginners |
Savithri Jajam,
Olesya Masucci |
source |
9 |
| PharmaSUG |
2019 |
One Macro to Produce Descriptive Statistic Summary Tables with P-Values |
Rajaram Venkatesan,
Harinarayanan Gopichandran |
source |
14 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| SGF |
2019 |
Dealing with Exact Confidence Interval of Binary Endpoint Data [presentation] |
Kamleshkumar Patel,
Vaishali Patel |
source |
3 |
| SGF |
2019 |
Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase |
Jay P. Carini,
Amy Pielow,
Joel C. Weaver |
source |
16 |
| SGF |
2019 |
Matchy-Matchy: Role of Strategy, Case to Control Ratio, and Number of Variables in PROC PSMATCH [presentation] |
Brittany Hand |
source |
17 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure |
Jennifer Hargrove,
Pamela Hipp,
Glenn Sidle |
source |
12 |
| SGF |
2019 |
Real-World Evidence and Population Health Analytics: Intersection and Application |
David Olaleye |
source |
16 |
| SGF |
2019 |
Survival Estimates Prediction with Survey Data |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee |
source |
12 |
| SGF |
2019 |
Thirteen Statistics Every Biostatistician Should Know |
AnnMaria De Mars |
source |
20 |
| SGF |
2019 |
Using SAS MACRO to Demonstrate Data Presentation Standards for Proportions |
Mary Ann Bush,
Nazik Elgaddal |
source |
12 |
| 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 EU |
2018 |
Forest Plots in Survival Subgroup Analyses |
Michael Brockmann,
Julia Benzing |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Overlooked Tiny Numeric Representation Errors in SAS May Lead to Substantially Misleading p-Value |
Ying Zhou,
David Haryanto |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Subpopulation Treatment Effect Pattern Plot (STEPP) for Categorisation of Baseline Characteristics |
Andrea Parodi,
Dimitri Petratchenko |
source
poster source |
6 |
| SESUG |
2018 |
SAS/STAT 14.3 Round-Up: Modern Methods for the Modern Statistician |
Maura E. Stokes |
source |
9 |
| MWSUG |
2018 |
Bootstrap Linear Mixed-Effects Models using SAS Procedures |
Adams Kusi Appiah |
|
17 |
| MWSUG |
2018 |
Computer Karma: Non-Monetary Benefits from Statistical And Information Technology Volunteer Work |
Brandy R. Sinco |
|
11 |
| MWSUG |
2018 |
Propensity Scores and Causal Inference for (and by) a Beginner |
Bruce S. Lund |
|
18 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| MWSUG |
2018 |
Using your FREQ effectively: Displays to Decipher Proportional Odds in Ordinal Regression |
Robert G. Downer |
|
11 |
| WUSS |
2018 |
Survey data analysis made easy with SAS: a hands-on workshop [presentation] |
Melanie Dove,
Katherine Heck |
source |
38 |
| PHUSE US |
2018 |
Adverse Event Analysis - One step forward! |
Anuja Rasal |
source
presentation source |
11 |
| PHUSE US |
2018 |
How Automatic Visualization of Summary Results Can Speed up Review to Tables |
Shafi Chowdhury,
Rajwanur Rahman |
source
presentation source |
7 |
| PHUSE US |
2018 |
Programmers are from Mars and Statisticians are from Venus |
Shweta Padmanaban,
Sangeetha Sathaiah |
source
presentation source |
6 |
| PharmaSUG |
2018 |
"A tale of a tail" or how to make your graph more informative |
Iryna Kotenko |
source |
12 |
| PharmaSUG |
2018 |
A SAS@ Macro Application on Confidence Intervals for Binominal Proportion |
Kaijun Zhang,
Sheng Zhang |
source |
13 |
| PharmaSUG |
2018 |
Link Up Sync Up: Calculation of concordance and discordance rates between Independent Review Facility (IRF) and Investigator site data using SAS |
Bhargav Koduru,
Girish Kankipati |
source |
10 |
| PharmaSUG |
2018 |
Sense and Censorability: Learn censoring techniques with ADTTE for your survival |
Shilpakala Vasudevan |
source |
12 |
| PharmaSUG |
2018 |
Statistician in my Soul. Statistical Questions from SPA |
Nadiia Hryhorenko |
source |
12 |
| SGF |
2018 |
Bayesian Concepts: An Introduction |
John Amrhein,
Fei Wang |
source |
10 |
| SGF |
2018 |
Bricolage: My Autobiography, with SAS Procedures |
AnnMaria De Mars |
source |
13 |
| SGF |
2018 |
Estimation of Correlation Coefficient in Data with Repeated Measures |
Katherine Irimata,
Paul Wakim,
Xiaobai Li |
source |
19 |
| SGF |
2018 |
Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
21 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| SGF |
2018 |
Looking Beyond the Model with SAS Simulation Studio: Data Input, Collection, and Analysis |
Edward P. Hughes,
Emily Lada |
source |
20 |
| SGF |
2018 |
Robust Tuning for Machine Learning |
Alex Glushkovsky |
source |
22 |
| SGF |
2018 |
SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models |
David P. MacKinnon,
Matthew Valente |
source |
18 |
| SGF |
2018 |
SAS Visual Investigator and SAS Visual Analytics: Bridging the Gap between Subject Matter Experts |
Emily Chapman-Mcquiston |
source |
12 |
| SGF |
2018 |
SAS/STAT 14.3 Round-Up: Modern Methods for the Modern Statistician |
Maura E. Stokes |
source |
9 |
| SESUG |
2017 |
Applying Logistics Regression to Forecast Annual Organizational Retirements |
Alan Dunham |
source |
12 |
| SESUG |
2017 |
Detecting Outlying Data in Proficiency Studies with SAS |
Stacey Slone |
source |
11 |
| SESUG |
2017 |
Enrollment Simulation in Clinical Trials |
Venita DePuy |
source |
5 |
| SESUG |
2017 |
Exploring JMP Modeling Functionality Using Consumer Expenditure Data |
Joshua Klick |
source |
12 |
| SESUG |
2017 |
Meta-Analysis and Matrix Multiplication: Adapting an IML-Based Macro for DerSimonian and Laird's Error Calculation to use Base SAS |
Venita DePuy |
source |
16 |
| 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 |
Using Categorical Variables in Regression Analysis |
Jonas V. Bilenas |
source |
15 |
| PHUSE EU |
2017 |
Futile or Not? An Interim Analysis Case Study |
Ingrid Franklin |
source
presentation source |
9 |
| PHUSE EU |
2017 |
Surviving your Statistician: A Programmer's Guide to Survival Analysis |
James Diserens |
source
presentation source |
11 |
| PHUSE EU |
2017 |
Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials |
James R. Johnson,
Mark Jaros |
source
presentation source |
10 |
| 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 |
Creating Completely Automated Reports in SAS Using the ODS RTF Destination: Protect Your Results from Human Error |
Debra A. Goldman |
source |
19 |
| WUSS |
2017 |
Variance Ratio Estimation Using the PRECMOD SAS Macro |
Jesse Albert Canchola,
Pari Hemyari |
source |
12 |
| PharmaSUG |
2017 |
Application of Deming Regression in Molecular Diagnostics using a SAS Macro |
Merlin Njoya,
Pari Hemyari |
source |
6 |
| PharmaSUG |
2017 |
Becoming a Successful Manager of SAS Programmers from an Ex-Programmer-s Perspective |
Christine Young |
source |
3 |
| PharmaSUG |
2017 |
Combining Survival Analysis Results after Multiple Imputation of Censored Event Times |
Jonathan L Moscovici,
Bohdana Ratitch |
source |
11 |
| PharmaSUG |
2017 |
How to Create a Journal-Quality Forest Plot with SAS 9.4 |
John R. O'Leary,
Warren F. Kuhfeld |
source |
11 |
| PharmaSUG |
2017 |
Multiple Imputation: A Statistical Programming Story |
Christopher J. Smith,
Scott Kosten |
source |
16 |
| PharmaSUG |
2017 |
Pilot Meta-Analysis of HPA Axis Suppression Studies on Topical Corticosteroids using ADaM Datasets derived from Legacy Data |
Lillian Qiu,
Hon-Sum Ko |
source |
5 |
| PharmaSUG |
2017 |
Put the "K" in Your KAB: Know How to Efficiently Program with Knowledge, Attitudes, and Behavior Survey Data |
Cara Lacson,
Jasmeen Hirachan |
source |
16 |
| PharmaSUG |
2017 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
20 |
| PharmaSUG |
2017 |
The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros |
Jeffrey P. Meyers |
source |
21 |
| SGF |
2017 |
A Moment-Matching Approach for Generating Synthetic Data in SAS |
Brittany Bogle,
Jared Erickson |
source |
17 |
| SGF |
2017 |
A Step-by-Step Solution to Create a Customized Graph for Grouped Data Using Graph Template Language |
Elva Chen |
source |
11 |
| SGF |
2017 |
A Step-by-Step Solution to Create a Customized Graph for Grouped Data Using Graph Template Language |
Elva Chen |
source |
16 |
| SGF |
2017 |
Estimating Causal Effects from Observational Data with the CAUSALTRT Procedure |
Michael Lamm,
Yiu-Fai Yung |
source |
18 |
| SGF |
2017 |
Not So Simple: Intervals You Can Have Confidence In with Real Survey Data |
David A. Vandenbroucke |
source |
12 |
| SGF |
2017 |
SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design |
David P. MacKinnon |
source |
10 |
| SGF |
2017 |
The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money |
Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell |
source |
59 |
| SGF |
2017 |
Using a Population Average Model to Investigate the Success of a Customer Retention Strategy |
Colleen E. McGahan |
source |
19 |
| SGF |
2017 |
Using the LOGISTIC or SURVEYLOGISTIC Procedure and Weighting of Public-Use Data in the Classroom |
Tyler C. Smith,
Besa Smith |
source |
9 |
| SESUG |
2016 |
Exploring JMP's Image Visualization Tools in Medical Diagnostic Applications |
Melvin T. Alexander,
Social Security |
source |
16 |
| 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 |
Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods |
Tyler Hicks,
Jeffrey D. Kromrey |
source |
8 |
| SESUG |
2016 |
Sample Size Estimation with PROC FREQ and PROC POWER |
Adeline J. Wilcox |
source |
12 |
| SESUG |
2016 |
Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending |
Jonas V. Bilenas |
source |
12 |
| PHUSE EU |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source
presentation source |
12 |
| PHUSE EU |
2016 |
Considerations in the Use of Propensity Scoresin Observational Studies |
Lawrence Rasouliyan,
Estel Plana |
source
presentation source |
17 |
| PHUSE EU |
2016 |
Integrating the New EMA Requirements on Public Disclosure in the Study Conduct [presentation] |
Jean-Marc Ferran |
source |
20 |
| MWSUG |
2016 |
Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming |
Ji Qi |
|
16 |
| MWSUG |
2016 |
Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS |
Kechen Zhao |
|
14 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| PharmaSUG CN |
2016 |
Proportion difference and confidence interval based on Cochran-Mantel-Haenszel method in stratified multi-center clinical trial |
Huiping Zhang |
|
5 |
| WUSS |
2016 |
Bayesian Concepts: An Introduction |
John Amrhein |
source |
8 |
| WUSS |
2016 |
Constructing Confidence Intervals for the Differences of Binomial Proportions in SAS |
William Garner |
source |
13 |
| WUSS |
2016 |
Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. |
Carol Conell,
Alexander C. Flint |
source |
14 |
| WUSS |
2016 |
Equivalence Tests |
John Amrhein,
Fei Wang |
source |
9 |
| WUSS |
2016 |
Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED |
Todd Coffey |
source |
11 |
| WUSS |
2016 |
Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates |
Allen Hom |
source
pptx |
20 |
| WUSS |
2016 |
Introduction to Survival Analysis in SAS |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| PharmaSUG |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source |
19 |
| PharmaSUG |
2016 |
Empowering Users By Creating Data Visualization Applications In R/Shiny |
Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai |
source |
8 |
| PharmaSUG |
2016 |
Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis |
Sakthivel Sivam,
Subbiah Meenakshisundaram |
source |
8 |
| PharmaSUG |
2016 |
Mixed Effects Models |
Yan Wang |
source |
7 |
| PharmaSUG |
2016 |
Simulation of Data using the SAS System, Tools for Learning and Experimentation |
Kevin R. Viel,
Bevan K. Youse |
source |
11 |
| PharmaSUG |
2016 |
Unequalslopes: Making life easier when the proportional odds assumption fails |
Matthew J. Wiedel |
source |
11 |
| SGF |
2016 |
Analysis of Grades for University Students Using Administrative Data and the IRT Procedure |
Sara Armandi |
source |
13 |
| SGF |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source
zip |
20 |
| SGF |
2016 |
Competing-Risks Analyses: An Overview of Regression Models |
Joseph C. Gardiner |
source |
22 |
| SGF |
2016 |
Dynamic Forecast Aggregation |
Michael J. Leonard |
source |
9 |
| SGF |
2016 |
Equivalence Tests |
Fei Wang,
John Amrhein |
source |
9 |
| SGF |
2016 |
Latent Class Analysis Using the LCA Procedure |
Patricia A. Berglund |
source |
18 |
| SGF |
2016 |
Limit of Detection (LoD) Estimation Using Parametric Curve Fitting to (Hit) Rate Data: The LOD_EST SAS Macro |
Jesse Albert Canchola,
Pari Hemyari |
source
zip |
10 |
| SGF |
2016 |
Personal Lending: Customer Credit and Pricing Optimization |
Yuri Medvedev |
source |
19 |
| SGF |
2016 |
Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 |
Quyen Nguyen |
source |
12 |
| SGF |
2016 |
PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design |
Walter W. Stroup |
source
zip |
19 |
| SGF |
2016 |
Quantitle Regression versus Ordinary Least Squares Regression |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Risk Adjustment Methods in Value-Based Reimbursement Strategies |
Daryl Wansink |
source |
6 |
| SGF |
2016 |
Statistical Comparisons of Disease Prevalence Rates Using the Bootstrap Procedure |
Matthew Dutton,
Charlotte Baker |
source |
6 |
| SGF |
2016 |
Survey Data Imputation with PROC SURVEYIMPUTE |
Pushpal K. Mukhopadhyay |
source |
26 |
| SGF |
2016 |
The Baker's Dozen: What Every Biostatistician Needs to Know |
AnnMaria De Mars |
source |
17 |
| SGF |
2016 |
Time Series Analysis: U.S. Military Casualties in the Pacific Theater during World War II |
Rachael Becker |
source
presentation |
20 |
| SCSUG |
2015 |
Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References |
Maryam Tabarestani,
Hector Zapata |
|
23 |
| MWSUG |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Jill Tao,
Kathleen Kiernan,
Phil Gibbs |
|
18 |
| MWSUG |
2015 |
Plotting LSMEANS and Differences in Generalized Linear Models with GTL |
Robin High |
|
9 |
| MWSUG |
2015 |
Transitions in Depressive Symptoms After 10 Years of Follow-up Using PROC LTA in SAS and Mplus |
Seungyoung Hwang |
|
11 |
| PHUSE EU |
2015 |
Facing Your Fear of the Unknown - Handling Missing Data |
Amanda Reilly |
source
presentation source |
7 |
| PHUSE EU |
2015 |
How to Reduce Bias in the Estimates of Count Data Regression |
Ashwini Joshi,
Sumit Singh |
source
presentation source |
10 |
| SESUG |
2015 |
A SAS Macro for Improved Correlation Coefficient Inference |
Stephen W. Looney |
source |
7 |
| 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 |
Becker 133 SESUG 2015 1 Time Series Analysis |
U.S. Military Casualties,
Rachael Becker |
source |
17 |
| SESUG |
2015 |
Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage |
Yusheng Zhai,
K. E. Kahn,
A. O'Halloran |
source |
13 |
| SESUG |
2015 |
Confidence Intervals for Binomial Proportion Using SAS: The All You Need to Know and No More... |
Confidence Intervals,
Jiangtang Hu |
source |
10 |
| SESUG |
2015 |
Introducing Two-Way and Three-Way Interactions into the Cox Proportional Hazards Model Using SAS |
Seungyoung Hwang,
Johns Hopkins |
source |
5 |
| 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 |
Tips for Identifying Patient Characteristics Associated with Diagnostic Concordance between Two Measures Using SAS |
Seungyoung Hwang,
Johns Hopkins |
source |
5 |
| WUSS |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Phil Gibbs,
Jill Tao,
Kathleen Kiernan |
source |
18 |
| WUSS |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| WUSS |
2015 |
Constructing Confidence Intervals for a Single Binomial Proportion in SAS |
William Garner |
source |
8 |
| WUSS |
2015 |
Yes, PROC FREQ does that! |
AnnMaria De Mars |
source |
15 |
| PharmaSUG CN |
2015 |
Comparison of Three Methods in Calculating Confidence Intervals for Rate Differences in Non-inferior Clinical Trials |
Yaohua Huang |
|
4 |
| PharmaSUG |
2015 |
Confidence Intervals Are a Programmer's Friend |
Xinxin Guo,
Zhaohui Su |
source |
8 |
| PharmaSUG |
2015 |
Efficiently Produce Descriptive Statistic Summary Tables with SAS Macros |
Chunmao Wang |
source |
3 |
| PharmaSUG |
2015 |
Forest Plots: Old Growth versus GMO (Genetically Modified Organism) |
Scott Horton |
source |
12 |
| PharmaSUG |
2015 |
Statistical Analyses Across Overlapping Time Intervals Based on Person-Years |
John Reilly,
John R. Gerlach |
source |
10 |
| SGF |
2015 |
A Set of SAS Macros for Generating Survival Analysis Reports for Lifetime Data with or without Competing Risks |
Zhen-Huan Hu |
source
zip |
6 |
| 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 Introductory Overview of the Features of Complex Survey Data |
Taylor Lewis |
source |
22 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2015 |
Count Series Forecasting |
Michael J. Leonard |
source |
14 |
| SGF |
2015 |
Equivalence and Noninferiority Testing Using SAS/STAT Software |
John M. Castelloe,
Donna Watts |
source |
23 |
| SGF |
2015 |
Forest Plotting Analysis Macro %FORESTPLOT |
Jeffrey P. Meyers,
Qian Shi |
source |
18 |
| SGF |
2015 |
Getting Your Hands on Reproducible Graphs |
Rebecca Ottesen,
Leanne Goldstein |
source |
19 |
| SGF |
2015 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Jeffreys Interval for One-Sample Proportion with SAS/STAT Software |
Wu Gong |
source |
7 |
| SGF |
2015 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
source |
20 |
| SGF |
2015 |
Lost in the Forest Plot? Follow the Graph Template Language AXISTABLE Road! |
Prashant Hebbar |
source
zip |
11 |
| SGF |
2015 |
Methodological and Statistical Issues in Provider Performance Assessment |
Daryl Wansink |
source |
6 |
| SGF |
2015 |
Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R |
Patricia A. Berglund |
source |
17 |
| SGF |
2015 |
Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! |
Debbie Buck |
source |
12 |
| SGF |
2015 |
Nesting Multiple Box Plots and BLOCKPLOTs Using Graph Template Language and Lattice Overlay |
Greg Stanek |
source |
17 |
| SGF |
2015 |
Preparing Output from Statistical Procedures for Publication, Part 1: PROC REG to APA Format |
Vincent DelGobbo,
Peter L. Flom |
source |
27 |
| SGF |
2015 |
Replication Techniques for Variance Approximation |
Taylor Lewis |
source |
19 |
| SGF |
2015 |
Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures |
Donna Brogan |
source |
20 |
| SGF |
2015 |
Survey Sample Designs for Auditing, Fraud, and Forensics. |
Turner Bond |
source |
13 |
| SGF |
2015 |
Time Series Modeling and Forecasting--An Application to Stress-Test Banks |
Ania Supady |
source |
13 |
| SGF |
2015 |
Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs |
Keith R. Holdaway,
Louis Fabbi,
Dan Lozie |
source |
20 |
| SESUG |
2014 |
Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data |
Pollutants Given |
source |
9 |
| SESUG |
2014 |
Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization |
Jennifer Mann,
Jason Brinkley,
Pamela Larson |
source |
7 |
| SESUG |
2014 |
To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured |
Kate Phillips |
source |
16 |
| SESUG |
2014 |
Tricks and Tips for Using the Bootstrap in JMP Pro 11 |
Jason Brinkley |
source |
13 |
| SESUG |
2014 |
Using SAS to Create a p-value Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
12 |
| PHUSE EU |
2014 |
Biomarker as Essential Part of Clinical Development |
Renuka Chinthapally |
source
presentation source |
7 |
| PHUSE EU |
2014 |
Cost-Effectiveness in Hospitals Using SAS |
Ilias Pyrnokokis |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis |
Lawrence Rasouliyan |
source
presentation source |
12 |
| PHUSE EU |
2014 |
PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials |
Sheetal Solanki,
Ajay Sathe |
source
presentation source |
15 |
| PHUSE EU |
2014 |
Unuttered Questions of Statistical Programmers |
Aparajita Dey |
source
presentation source |
10 |
| MWSUG |
2014 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
|
20 |
| MWSUG |
2014 |
Using The Delta Method With Proc Mixed To Generate Means And Confidence Intervals From A Linear Mixed Model On The Original Scale, When The Analysis Is Done On The Log Scale |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer |
|
11 |
| PharmaSUG CN |
2014 |
Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs |
Halimu Haridona |
|
7 |
| PharmaSUG CN |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
|
30 |
| WUSS |
2014 |
A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS |
Christopher Yim |
source |
10 |
| WUSS |
2014 |
Practice Pattern Instrumental Variables for Comparative Effectiveness |
Carol Conell,
Alexander C. Flint |
source |
15 |
| WUSS |
2014 |
SAS Macros for Standard Incidence Ratio Calculation |
Natalia V. Udaltsova,
Michael Silverberg |
source |
11 |
| WUSS |
2014 |
Using SAS and the Centers for Disease Control and Prevention 2010 Natality Data to Estimate the Effect Size of Prenatal Visits on Preterm Birth |
Melissa Borelli |
source |
10 |
| PharmaSUG |
2014 |
%ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures |
Qinlei Huang |
source |
8 |
| PharmaSUG |
2014 |
Attain 100% Confidence in Your 95% Confidence Interval |
Indu Nair,
Binal Patel |
source |
9 |
| PharmaSUG |
2014 |
Defining Non-Inferiority Margins for Skin Adhesion Studies |
Marina Komaroff,
Sailaja Bhaskar |
source |
12 |
| PharmaSUG |
2014 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
source |
19 |
| PharmaSUG |
2014 |
Our Survival Confidence Intervals are not the Same! |
David W. Franklin |
source |
6 |
| PharmaSUG |
2014 |
Quickly Organize Statistical Output for Review |
Bradford J. Danner |
source |
4 |
| PharmaSUG |
2014 |
Standardization of Confidence Intervals in PFS Tables - a Macro Approach |
John Saida Shaik,
Boxun Zhang |
source |
4 |
| PharmaSUG |
2014 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| PharmaSUG |
2014 |
The path less trodden - PROC FREQ for ODDS RATIO |
Manjusha Gondil,
Linga Reddy Baddam |
source |
4 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| SGF |
2014 |
A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models |
Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva |
source |
19 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst,
Diane Hatcher |
source |
16 |
| SGF |
2014 |
Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure |
Rob Agnelli |
source |
17 |
| SGF |
2014 |
Graphs Useful for Variable Selection in Predictive Modeling |
Bob Moore |
source |
9 |
| SGF |
2014 |
Is Nonlinear Regression Throwing You a Curve? New Diagnostic and Inference Tools in the NLIN Procedure |
Biruk Gebremariam |
source |
16 |
| SGF |
2014 |
Leveraging Publicly Available Data in the Classroom Using SAS PROC SURVEYLOGISTIC |
Tyler C. Smith,
Besa Smith |
source |
18 |
| SGF |
2014 |
P-values: Democrats or Dictators? |
Brenda Beaty,
Michelle Torok |
source |
4 |
| SGF |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
source |
30 |
| SGF |
2014 |
Plotting Differences Among LS-means in Generalized Linear Models |
Robin High |
source |
14 |
| SGF |
2014 |
Reducing Medical Costs Using a System Based on SAS for Provider and Facility Efficiency Scoring |
Stephanie Poley |
source |
6 |
| SGF |
2014 |
Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software |
Joseph C. Gardiner |
source |
19 |
| SGF |
2014 |
SAS for Bayesian Mediation Analysis |
Miočević Milica,
David P. MacKinnon |
source |
11 |
| SGF |
2014 |
SAS/STAT 13.1 Round-Up |
Bob Rodriguez,
Maura E. Stokes |
source |
25 |
| SGF |
2014 |
Scenarios Where Utilizing a Spline Model in Developing a Regression Model Is Appropriate |
Ning Huang |
source |
9 |
| SGF |
2014 |
Something for Nothing! Converting Plots from SAS/GRAPH to ODS Graphics |
Philip R. Holland |
source |
17 |
| SGF |
2014 |
Using SAS to Evaluate Patient-Directed Quality of Care Interventions |
Scott P. Leslie |
source |
10 |
| WUSS |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
source |
19 |
| WUSS |
2013 |
Exact Testing Procedures in SAS for Categorical Data Analysis |
Guogen Shan,
Darren Liu |
source |
5 |
| WUSS |
2013 |
Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies |
Kechen Zhao |
source |
14 |
| WUSS |
2013 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
24 |
| SESUG |
2013 |
Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration |
Receiver Operating Characteristic |
source |
16 |
| SESUG |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SESUG |
2013 |
Evaluating the Accuracy Assessment Methods of a Thematic Raster through SAS Resampling Techniques and GTL Visualizations |
Robert Seffrin |
source |
7 |
| SESUG |
2013 |
Lost in Translation: A Statistician's (Basic) Perspective of PROC LIFETEST |
Alexandra Buck |
source |
7 |
| SESUG |
2013 |
PROC FORMAT in DATA Step mathematics |
Elizabeth Schreiber |
source |
5 |
| SESUG |
2013 |
SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples |
Patricia Rodríguez de Gil,
Jeanine L. Romano,
Thanh Pham,
Diep T. Nguyen,
Jeffrey D. Kromrey,
Eun Sook Kim |
source |
9 |
| SESUG |
2013 |
SAS Macros to Produce Publication-ready Tables from SAS Survey Procedures |
Emma L. Frazier,
Shuyan Zhang,
Ping Huang |
source |
9 |
| PHUSE EU |
2013 |
Around the World in Three Statistical Models: Determing the Level of Measurement Invariance Across Countries of a PRO Instrument |
Dirk Heerwegh |
source
presentation source |
29 |
| PHUSE EU |
2013 |
Computation of Cls for Binomial Proportions in SAS and its Practical Difficulties |
Jose Abraham |
source
presentation source |
8 |
| PHUSE EU |
2013 |
eBESTreports - The Fastest Way to Conclusions [presentation] |
Tuomas Kemppainen,
Juha Hyssala |
source |
25 |
| PHUSE EU |
2013 |
Economic Evaluation in Clinical Trials. You Can Do it with SAS |
Artur Usov |
source
presentation source |
12 |
| PHUSE EU |
2013 |
Efficacy Endpoints in Oncology |
Angelo Tinazzi |
source |
9 |
| PHUSE EU |
2013 |
Thorough QTc Studies: Patients at Heart... |
Marc Derycke,
Jeans-Otto Andreas |
source |
7 |
| PHUSE EU |
2013 |
Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis |
Imgard Hollweck |
source
presentation source |
9 |
| MWSUG |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
|
19 |
| MWSUG |
2013 |
Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ |
Taylor Lewis |
|
20 |
| MWSUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
14 |
| MWSUG |
2013 |
Building a Better Bar Chart with SAS Graph Template Language |
Perry Watts |
|
22 |
| MWSUG |
2013 |
Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling |
Mark Bailey,
Diane K. Michelson |
|
21 |
| NESUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
15 |
| NESUG |
2013 |
Constructing a Table of Survey Data with Percent and Confidence Interval in every Direction |
David Izrael,
Sarah Ball,
Sara Donahue |
|
7 |
| NESUG |
2013 |
How to Handle Binomial Proportion with Zero Frequency |
Tulin Shekar |
|
11 |
| NESUG |
2013 |
Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR |
Renee Gennarelli,
Melody S. Goodman |
|
7 |
| NESUG |
2013 |
Using ODS Regions to Create Custom Reports [presentation] |
Kate Morrow |
|
10 |
| PharmaSUG |
2013 |
A Strategy to Ensure Non-Estimable Confidence Intervals Having Equal Lower and Upper Confidence Limits are Displayed Correctly |
Claudia Jimenez-Castro |
source |
5 |
| PharmaSUG |
2013 |
Adjusted proportion difference and confidence interval in stratified randomized trials |
Yeonhee Kim,
Seunghyun Won |
source |
8 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly |
source |
19 |
| PharmaSUG |
2013 |
How MEAN is T-test? |
Naina Pandurangi |
source |
4 |
| PharmaSUG |
2013 |
Reliability Assessment of Image Data in Oncology and Psychology Studies |
Li Zhang,
David Shen,
Gary Chen |
source |
7 |
| SGF |
2013 |
A SAS Macro for Generating a Set of All Possible Samples with Unequal Probabilities without Replacement |
Alan Ricardo da Silva,
Igor Ferreira do Nascimento |
source
pdf |
10 |
| SGF |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2013 |
Computing Direct and Indirect Standardized Rates and Risks with the STDRATE Procedure |
Yang Yuan |
source |
19 |
| NESUG |
2012 |
A SAS Program to Construct Simultaneous Confidence Intervals of Relative Risk for Multiple Adverse Events |
Xiaoli Lu |
|
6 |
| NESUG |
2012 |
Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG |
Klaus Lemke |
|
13 |
| NESUG |
2012 |
Using SAS to Test, Probe and Display Interaction Effects in Regression |
Timothy Gravelle |
|
16 |
| SCSUG |
2012 |
A SAS MACRO for estimating bootstrapped confidence intervals in dyadic regression models. |
Robert Wickham |
source |
6 |
| PHUSE EU |
2012 |
A Supplement to the SAS Survival Guide - Nonparametric Regression |
Karl-Ernst Siegler |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Bootstrap Analysis Double-Independent Programming: Issues and Solutions |
Nils Penard |
source
presentation source |
10 |
| PHUSE EU |
2012 |
East6: Software for Designing, Simulating and Monitoring Group Sequential Trials |
Hrishikesh Kulkarni,
Sheetal Solanki |
source
presentation source |
12 |
| PHUSE EU |
2012 |
The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 |
Lawrence Rasouliyan |
source
presentation source |
16 |
| SESUG |
2012 |
A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data |
Rajendra P |
source |
12 |
| SESUG |
2012 |
Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study |
John Chantis |
source |
9 |
| SESUG |
2012 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
14 |
| SESUG |
2012 |
SAS macro to obtain reference values based on estimation of the lower and upper percentiles via quantile regression |
Neeta Shenvi,
Amita Manatunga |
source |
9 |
| 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 |
ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study |
Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones |
|
10 |
| WUSS |
2012 |
A SAS Macro for Displaying Institutional Risk-Adjusted Performance: Forest vs. Funnel Plots |
Zhongmin Li,
Geeta Mahendra |
source |
13 |
| WUSS |
2012 |
The influence of small sample sizes on empirical Bayes' predictors inlongitudinal data sets |
Jennifer Wang |
source |
6 |
| WUSS |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| WUSS |
2012 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PharmaSUG CN |
2012 |
An Illustration of Rate Difference Estimation with SAS in Logistic Regression |
Yun Guo,
Victor Wu,
Xinyu Xu,
Crystal Cheng |
ppt |
7 |
| PharmaSUG |
2012 |
Graphical Outputs for Efficacy Analyses Using SAS/GRAPH SG Procedures |
David A Collins |
source |
7 |
| SGF |
2012 |
A Bootstrapped Kappa Statistic for a Multiple-Rater Multiple-Category Problem |
Yubo Gao |
source |
4 |
| 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 |
Analyzing Survival Data with Competing Risks Using SAS Software |
Guixian Lin,
Ying C. So,
Gordon Johnston |
source |
8 |
| SGF |
2012 |
Creating Pharmacokinetic Graphs Using SAS/GRAPH |
Katrina E. Canonizado,
Matthew Murphy |
source |
8 |
| SGF |
2012 |
Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer |
Manojkumar B Agravat |
source |
40 |
| SGF |
2012 |
Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics |
Patricia A. Berglund |
source |
20 |
| SGF |
2012 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
20 |
| SGF |
2012 |
Let Oil and Gas Talk to You: Predicting Production Performance |
Keith R. Holdaway |
source |
12 |
| SGF |
2012 |
Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods |
Joseph C. Gardiner |
source |
15 |
| 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 Tools for Cost-Effective and High-Quality Clinical Trial Reporting |
Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan |
source |
10 |
| SGF |
2012 |
Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures |
Varma Nadimpalli,
Katie A. Hubbell |
source |
14 |
| SGF |
2012 |
Standardized Difference: An Index to Measure the Effect Size between Two Groups |
Dongsheng Yang,
Jarrod E. Dalton |
source |
6 |
| SGF |
2012 |
Your Survival Guide to Using Time-Dependent Covariates |
Melissa E. Bagnell,
Teresa M. Powell |
source |
10 |
| SCSUG |
2011 |
"Let's Get SAS To Do It!" |
Anna Vincent |
source |
22 |
| SCSUG |
2011 |
Advice to Health Services Researchers: Be Cautious Using the "Where" Statement in SAS Programs for Nationally Representative Complex Survey Data |
Hemalkumar Mehta |
source |
10 |
| SCSUG |
2011 |
PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? |
Hemalkumar Mehta |
source |
14 |
| SCSUG |
2011 |
Statistical comparison of relative proportions of bacterial genetic sequences |
Jose F Garcia-Mazcorro |
source |
19 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| 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 |
Linear Logistic Test Model: Using SAS to Simulate the Decomposition of Item Difficulty by Algorithm, Sample Size, Cognitive Component and Time to Convergence |
George MacDonald,
Jeffrey D. Kromrey |
source |
11 |
| SESUG |
2011 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans |
source |
12 |
| SESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen |
source |
20 |
| SESUG |
2011 |
PROC SURVEY... Says!: Selecting and Analyzing Stratified Samples |
Darryl Putnam |
source |
9 |
| SESUG |
2011 |
Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC |
Taylor Lewis |
source |
8 |
| WUSS |
2011 |
Boost your confidence in a 2x2 standard table |
Iuliana Barbalau |
source |
8 |
| WUSS |
2011 |
Consistency of Treatment Effect cross Regions |
Yunfeng Li |
source |
6 |
| WUSS |
2011 |
Estimating Disease Prevalence from Clinical Data Using Capture-Recapture |
Carol Conell |
source |
10 |
| WUSS |
2011 |
Hunting for Columbus' Eggs in the SAS Programming World: A Guidance to Creative Thinking for SAS Programmers |
Alice M. Cheng |
source |
12 |
| WUSS |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
source |
20 |
| WUSS |
2011 |
SAS Macros for the Working Statistician |
William Krebs |
source |
9 |
| WUSS |
2011 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PHUSE EU |
2011 |
Architect - A Platform for Design and Analysis Software for Clinical Trials |
Shashank Maratkar |
source |
12 |
| PHUSE EU |
2011 |
Embedding equivalence - t-test results in Bland Altman Plots visualising rater reliability |
Jim Groeneveld |
source
presentation source |
5 |
| PHUSE EU |
2011 |
Estimation of relative potency in a 4-point parallel line assay |
Stefano Vezzoli |
source
presentation source |
11 |
| MWSUG |
2011 |
Application of SAS to monitoring loan defaults in consumer credit portfolios |
Yevhen Yankovskyy |
|
9 |
| MWSUG |
2011 |
Interpreting the Differences Among LSMEANS in Generalized Linear Models |
Robin High |
|
11 |
| MWSUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen,
Ying So |
|
20 |
| NESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
|
20 |
| NESUG |
2011 |
Statistical Approach to Biosurveillance in Crisis: What is Next? |
Ernest S. Shtatland,
Timur Shtatland |
|
14 |
| PharmaSUG |
2011 |
A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots |
Vikash Jain |
source |
8 |
| PharmaSUG |
2011 |
A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods |
John Ventre,
Lisa Fine |
source |
8 |
| PharmaSUG |
2011 |
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner |
Patricia B. Cerrito |
source |
15 |
| PharmaSUG |
2011 |
Creating Forest Plots Using SAS/GRAPH and the Annotate Facility |
Amanda Tweed |
source |
7 |
| PharmaSUG |
2011 |
Cumulative Incidence Ratio Plots |
Sai Ma |
source |
5 |
| PharmaSUG |
2011 |
Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding |
Manojkumar B Agravat |
source |
44 |
| PharmaSUG |
2011 |
Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS |
Dongsun Cao,
Xiaomin He |
source |
12 |
| PharmaSUG |
2011 |
Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools |
Melvin S. Munsaka,
Michael Carniello |
source |
10 |
| SGF |
2011 |
Contrast Statements for Binary Responses: Comparing and Contrasting with PROC GLIMMIX |
Jeffrey M. Gossett,
Mary Aitken,
Beverly K. Miller,
Christopher J. Swearingen |
source |
10 |
| SGF |
2011 |
Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City |
Ted Clay |
source |
11 |
| SGF |
2011 |
Logit Models in Practice: B, C, E, G, M, N, O, ... |
Joseph C. Gardiner,
Zhehui Luo |
source |
20 |
| SGF |
2011 |
Marketing Investment Optimization Framework for AmEx Travelers Cheques, Clustering Consumer Behavior Leveraging SAS/ETS to Uncover Investment Opportunities in an Environment Demanding Quick Decisions |
Landon Starr,
Pieter van Ispelen |
source |
11 |
| SGF |
2011 |
Matching-Adjusted Indirect Comparison Analysis Using Common SAS 9.2 Procedures |
Elisabetta Malangone,
Steven Sherman |
source |
6 |
| SGF |
2011 |
ODS Output Data Sets That Work for You |
Stuart D. Long,
Edward Heaton,
Daniel R. Scharf |
source |
29 |
| SGF |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş |
source |
20 |
| SGF |
2011 |
PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons |
Fei Gu,
Wei Wu |
source |
10 |
| SGF |
2011 |
SAS/ETS and the Nobel Prize |
David A. Dickey |
source |
14 |
| SGF |
2011 |
Time Series Data Mining with SAS Enterprise Miner |
Sascha Schubert,
Taiyeong Lee |
source |
12 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Visualizing Marginal Effects from Interactions in Generalized Linear Models |
Xiao Chen,
Brigid Wilson |
source |
7 |
| NESUG |
2010 |
Binomial Reliability Using DATA Step Calculations |
Elizabeth A. Schreiber |
|
4 |
| NESUG |
2010 |
Multinomial and ordinal logistic regression using SAS |
Peter L. Flom |
|
12 |
| NESUG |
2010 |
Sensitivity, Specificity, Accuracy, Associated Confidence Interval And ROC Analysis With Practical SAS Implementations |
Ning Wang,
Nancy N. Zeng,
Wen Zhu |
|
9 |
| NESUG |
2010 |
Using Google to Solve SAS Problems |
Michael Todd |
|
13 |
| SCSUG |
2010 |
Boost Your Confidence (Intervals) With SAS |
Peter Langlois |
source |
42 |
| SCSUG |
2010 |
How Good is Your School |
Steve Fleming |
source |
16 |
| WUSS |
2010 |
A New and Simpler Way to Compute Body's "Maximum Weight Limit" |
George C. J. Fernandez |
source |
12 |
| WUSS |
2010 |
An Overview of Analytic Procedures Used in Observational Hematopoietic Cell Transplant Studies |
Joycelynne Palmer |
source |
10 |
| WUSS |
2010 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
Keiko I. Powers |
source |
9 |
| WUSS |
2010 |
Secrets of the SG Procedures |
Cleester D. Heath |
source |
19 |
| WUSS |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| WUSS |
2010 |
Survival 101: Reporting Survival Curves Using Sample Data from the Colorectal Cancer Outcomes Database |
Anna ter Veer |
source |
11 |
| PHUSE EU |
2010 |
BeST - Bioequivalence Study Template |
Pekka Heikkilä |
source
presentation source |
9 |
| PHUSE EU |
2010 |
Forest Plots and SAS |
Anne Barfield |
source |
5 |
| PHUSE EU |
2010 |
Inference for the Location Shift in 3x3 Crossover Studies: the Median-Scaling Method |
Stefano Vezzoli |
source
presentation source |
5 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko,
Michael O'Connell |
source
poster source |
12 |
| MWSUG |
2010 |
Comparing JMP and SAS for Validating Clinical Trials |
Sandra D. Schlotzhauer |
|
18 |
| MWSUG |
2010 |
Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching |
Timothy E. O'Brien |
|
13 |
| MWSUG |
2010 |
Tips for Automating Univariate Outcomes Analysis in Hematopoietic Stem Cell Transplantation |
Peigang Li,
Xiaochun Zhu,
Min Chen |
|
7 |
| MWSUG |
2010 |
Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What |
Dave LeBlond |
|
18 |
| MWSUG |
2010 |
Using the SGSCATTER Procedure to Create High-Quality Scatter Plots |
Xiangxiang Meng |
|
9 |
| SESUG |
2010 |
A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method |
Dennis J. Beal |
source |
6 |
| SESUG |
2010 |
ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models |
Jeffrey D. Kromrey,
Bethany A. Bell |
source |
10 |
| 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 |
SAS Macros for Estimating the Attributable Benefit of an Optimal Treatment Regime |
Jason Brinkley |
source |
12 |
| SESUG |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| PharmaSUG |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
|
23 |
| PharmaSUG |
2010 |
SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table |
Thomas T. Joseph |
|
7 |
| PharmaSUG |
2010 |
Surviving Survival Analysis: Basic Knowledge from a Programmer's Viewpoint |
Deb Cassidy |
|
9 |
| SGF |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
source |
23 |
| SGF |
2010 |
Analyzing Interval-Censored Survival Data with SAS |
Ying C. So,
Gordon Johnston |
source |
14 |
| SGF |
2010 |
Applications of PROC ESM in SAS 9.2 |
Anders Milhøj |
source |
11 |
| SGF |
2010 |
BMI Made Simple: What Is Your "Maximum Weight Limit? |
George C. J. Fernandez |
source |
12 |
| SGF |
2010 |
BootstrapMania!: Re-sampling the SAS Way |
David L. Cassell |
source |
11 |
| SGF |
2010 |
Creating Forest Plots from Pre-computed Data Using PROC SGPLOT and Graph Template Language |
Zoran Bursac |
source |
9 |
| SGF |
2010 |
Creating High-Quality Scatter Plots: An Old Story Told by the New SGSCATTER Procedure |
Xiangxiang Meng |
source |
9 |
| 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 |
Financial Analysis Using SAS PROCs |
Somaye Gharibvand,
Lida Gharibvand |
source |
7 |
| SGF |
2010 |
Improving Your Statistical Consulting Prowess by Adding R to Your SAS Repertoire |
Mark Austen,
Jeffrey M. Gossett,
Maria S. Melguizo,
Chan-Hee Jo |
source |
11 |
| SGF |
2010 |
Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments |
Joseph C. Gardiner |
source |
23 |
| SGF |
2010 |
Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics |
Amy G. Froelich,
William M. Duckworth |
source |
9 |
| SGF |
2010 |
Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 |
Zhuoqiao Wang,
William R. Waldron |
source |
9 |
| SCSUG |
2009 |
Risk-Based Portfolio Optimization Using SAS |
Wei Chen |
|
11 |
| SESUG |
2009 |
A Monte Carlo Study to Evaluate the Robust Standard Error Feature in the PHREG procedure |
Ji Li,
Xu Zhang |
source |
7 |
| SESUG |
2009 |
A SAS Macro for Deming Regression |
Allison M. Deal,
Virginia W. Pate,
Soumaya El Rouby |
source |
7 |
| SESUG |
2009 |
Developing Business Failure Prediction Models Using SAS Software |
Oki Kim |
source |
10 |
| SESUG |
2009 |
Enrollment Simulation in Clinical Trials |
Venita DePuy |
source |
4 |
| 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 |
Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence |
Jochen Müller-Cohrs |
source |
11 |
| PHUSE EU |
2009 |
Comparing Kaplan-Meier curves - what are the (SAS) options? |
Rob Allis |
source |
5 |
| MWSUG |
2009 |
Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management |
Svetlana Zelenskiy,
Lauren Byrne,
Cheryl L. Thompson,
Thomas C. Tucker,
David Bruckman,
Li Li |
|
16 |
| MWSUG |
2009 |
Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures |
Yang Yuan |
|
20 |
| PNWSUG |
2009 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2009 |
A SAS Macro Approach to Simultaneous Superiority and Noninferiority Testing in Clinical Trials Analysis |
William Chen,
Margaret M. Coughlin |
|
5 |
| NESUG |
2009 |
Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes |
Ernest S. Shtatland,
Timur Shtatland |
|
12 |
| WUSS |
2009 |
Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms |
Marla J. Husnik,
Jing Wang |
source |
10 |
| WUSS |
2009 |
Developing Business Failure Prediction Models Using SAS Software |
Oki Kim |
source |
10 |
| WUSS |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2009 |
Group Confidence Limit Plots Using PROC GPLOT and PROC SGPLOT |
Robert A. Rutledge |
source |
10 |
| WUSS |
2009 |
Reporting Quality of Cancer Care for the National Comprehensive Cancer Network - A SAS Bridge to Excel |
Joyce C. Niland,
Anna ter Veer,
Rebecca Ottesen,
Ann Vanderplas,
Julie A. Kilburn,
Dorothy Romanus |
source |
10 |
| WUSS |
2009 |
Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada |
George C. J. Fernandez,
Moses Anabila |
source |
9 |
| PharmaSUG |
2009 |
Are you computing Confidence Interval for binomial proportion using PROC FREQ? Be Careful!! |
Sandeep Sawant |
|
6 |
| PharmaSUG |
2009 |
ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting |
Cheng Jun Tian,
Denis Michel |
|
9 |
| PharmaSUG |
2009 |
Arrow Statistical Graphic System |
Cheng Jun Tian,
Qin Li,
Jiangfan Li |
|
15 |
| PharmaSUG |
2009 |
Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms |
Jing Wang,
Fred Hutchinson Cancer |
|
10 |
| PharmaSUG |
2009 |
Confidence Intervals for the Binomial Proportion with Zero Frequency |
Xiaomin He,
Shwu-Jen Wu |
|
6 |
| PharmaSUG |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2009 |
Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 |
Robert G. Downer,
Patrick J. Richardson |
|
11 |
| PharmaSUG |
2009 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
|
8 |
| PharmaSUG |
2009 |
Modeling the Treatment Effect on a Median of a Percent Change from Baseline in a Log-normal Variable Using SAS PROC NLMIXED |
Aiming Yang |
|
5 |
| PharmaSUG |
2009 |
ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 |
Sanghyuk Shin |
|
15 |
| PharmaSUG |
2009 |
The Existence of Maximum Likelihood Estimates for the Logistic Regression Model |
William F. McCarthy,
Nan Guo |
|
12 |
| PharmaSUG |
2009 |
Using SAS/IML to Generate Weighted Chi-Square Statistics |
Daniel DiPrimeo,
Bruce Johnston,
Lisa Price,
Junming Yang |
|
8 |
| SGF |
2009 |
An Analysis of Market Shares on the Danish Alcohol Market Using Unobserved Components |
Anders Milhøj |
source |
10 |
| SGF |
2009 |
Easier Exploratory Analysis for Epidemiology: A Grad Student "How-To" Paper |
Elisa L. Priest,
Brian Adams,
Lori A. Fischbach |
source |
11 |
| SGF |
2009 |
Fitting Cox Model Using PROC PHREG and Beyond in SAS |
Lea Liu,
Sandy A. Forman,
Bruce A. Barton |
source |
10 |
| SGF |
2009 |
Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| SGF |
2009 |
Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures |
Yang Yuan |
source |
20 |
| SGF |
2009 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
source |
8 |
| SGF |
2009 |
More than Just the Kappa Coefficient: A Program to Fully Characterize Inter-Rater Reliability between Two Raters |
Michael Cunningham |
source |
7 |
| 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 |
Quantifying Energy Risk Exposure Using SAS: Analyzing the Impact of the Weather and the Economy during Volatile Time |
David Hamilton,
Craig Carothers |
source |
11 |
| SGF |
2009 |
Risk-Based Portfolio Optimization Using SAS |
Wei Chen |
source |
11 |
| SGF |
2009 |
Secrets of the SG Procedures |
Dan Heath |
source |
19 |
| SGF |
2009 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson,
Stephanie R. Thompson |
source |
7 |
| WUSS |
2008 |
Confidence Intervals By Linear or Loglog: You Can Have Them All! PROC LIFETEST In SAS v. 8 vs. v. 9 |
Daniel DiPrimeo,
Jonathan M. Squire,
Yucheng Shiu,
Minta Wu,
Daisy Wang |
source |
5 |
| WUSS |
2008 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
source |
5 |
| WUSS |
2008 |
Testing Performance of Various Confidence Interval Methods for Non-Normal Means |
Keiko I. Powers |
source |
8 |
| WUSS |
2008 |
Using Unobserved Components Model (UCM) for a Stock Price Fluctuation |
Lida Gharibvand |
source |
7 |
| 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 |
Calculating the point estimate and confidence interval of Hodges-Lehmann's median using SAS software |
Lingling Han |
source |
7 |
| SESUG |
2008 |
Two SAS macros for DIF Analysis |
Shiqi Hao |
source |
10 |
| PHUSE EU |
2008 |
A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression |
Martin Gregory |
source |
9 |
| PHUSE EU |
2008 |
Drug Safety Reporting - now and then |
David J. Garbutt |
source |
23 |
| PHUSE EU |
2008 |
Evaluation of Diagnostic Agents: a SAS Macro for Sample Size Estimation Using Exact Methods |
Stefano Vezzoli |
source |
8 |
| PHUSE EU |
2008 |
How to produce Forrest-plots with PROC GPLOT and Annotate facility |
Laetitia Lemoine Le Halpert |
source |
8 |
| PHUSE EU |
2008 |
Run Forest ! Run ! Create a flexible Forest Plots with SAS Enterprise Guide. |
Emmanuel Bourmaud |
source |
12 |
| MWSUG |
2008 |
Confidence Interval Calculation for Binomial Proportions |
Keith Dunnigan |
|
12 |
| MWSUG |
2008 |
Inverse Prediction Using SAS Software: A Clinical Application |
Jayawant N. Mandrekar,
Cristine Allmer |
|
7 |
| MWSUG |
2008 |
Survival Methods for Correlated Time-to-Event Data |
James Bena,
Shannon McIntyre |
|
3 |
| PNWSUG |
2008 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2008 |
Breakthrough Improvements through Reliable Modern Testing using SAS and JMP |
Sunil Kumar Gupta |
|
14 |
| NESUG |
2008 |
Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes |
Ernest S. Shtatland,
Timur Shtatland |
|
15 |
| NESUG |
2008 |
Guido's Guide to PROC MEANS - A Tutorial for Beginners Using the SAS System |
Joseph J. Guido |
|
11 |
| NESUG |
2008 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson,
Stephanie R. Thompson |
|
7 |
| PharmaSUG |
2008 |
Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System |
Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari |
|
19 |
| PharmaSUG |
2008 |
Hassle-Free Presentation Quality Tables for Epidemiology Research |
Claire Chiang,
Sue Su |
|
17 |
| PharmaSUG |
2008 |
Public Health Tobacco Surveillance with SAS |
Mark Tabladillo |
|
7 |
| PharmaSUG |
2008 |
Sample Size Estimation for (Bio)equivalence Testing Between Two Treatments |
Madan G. Kundu |
|
13 |
| PharmaSUG |
2008 |
Statistical Approach to Establishing Bioequivalence |
William F. McCarthy,
Nan Guo |
|
12 |
| PharmaSUG |
2008 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
|
14 |
| 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 |
Another Look at Low-Order Autoregressive Models in Early Detection of Epidemic Outbreaks and Explosive Behaviors in Economic and Financial Time Series |
Ernest S. Shtatland |
source |
12 |
| SGF |
2008 |
Creating Web Services using SAS Analytics |
Bradley W. Klenz,
Daniel Jahn |
source |
30 |
| SGF |
2008 |
Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research |
Hui Liu,
David Shen,
Louie Huang |
source |
8 |
| SGF |
2008 |
How to Use SAS to Fit Multiple Logistic Regression Models |
Anpalaki J. Ragavan |
source |
13 |
| SGF |
2008 |
Old Versus New: A Comparison of PROC LOGISTIC and PROC GLIMMIX |
Rebecca Christofferson |
source |
6 |
| SGF |
2008 |
Structural Equation Modeling and Path Analysis Using PROC TCALIS in SAS 9.2 |
Yiu-Fai Yung |
source |
20 |
| SGF |
2008 |
Updates to SAS Power and Sample Size Software in SAS 9.2 |
Wayne E. Watson |
source |
10 |
| SGF |
2008 |
Use of Text Mining to Predict Patient Compliance |
Christiana Petrou |
source |
15 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| NESUG |
2007 |
Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment |
Huei-Ling Chen,
Aiming Yang |
|
9 |
| NESUG |
2007 |
Customizing Output for Regression Analyses Using ODS and the Data Step |
Zhenyi Xue |
|
11 |
| NESUG |
2007 |
Effective Forecast Visualization with SAS/GRAPH and ODS |
Samuel T. Croker |
|
11 |
| NESUG |
2007 |
Low-Order Autoregressive Models in Early Detection of Epidemic Out-breaks and Explosive Behaviors in Economic and Financial Time Series |
Ernest S. Shtatland |
|
10 |
| NESUG |
2007 |
PROC LOGISTIC: The Logistics Behind Interpreting Categorical Variable Effects |
Taylor Lewis |
|
7 |
| NESUG |
2007 |
Reliability Analysis: Calculate and Compare Intraclass Correlation Coefficients (ICC) in SAS |
Li Lu,
Nawar Shara |
|
4 |
| NESUG |
2007 |
Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves |
Mithat Gonen |
|
18 |
| SESUG |
2007 |
The CORR Procedure and Power of GTL |
Mirjana Stojanovic |
source |
10 |
| SESUG |
2007 |
USE OF ARIMA TIME SERIES AND REGRESSORS TO FORECAST THE SALE OF ELECTRICITY |
Beatrice Ugiliweneza |
source |
11 |
| MWSUG |
2007 |
Two Macros for Producing Graphs to Assess Agreement Between Two Variables |
David W. Meek |
|
5 |
| WUSS |
2007 |
Adding the Feature of Age Adjustment for the Survey-related Procedures of SAS - Age Adjusting Prevalence Estimates from Population Based Survey Datasets |
Zhiwei Zeng |
source |
6 |
| WUSS |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2007 |
New SAS/GRAPH Procedures for Creating Statistical Graphics |
Cleester D. Heath |
source |
16 |
| WUSS |
2007 |
Statistical Inference Illustrated |
Richard R. Allen |
source |
19 |
| WUSS |
2007 |
They Were Our Dreams - Tables and Graphics for Survival Analysis using ODS |
Wei Cheng |
source |
13 |
| WUSS |
2007 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PHUSE EU |
2007 |
A gentle introduction to Meta-analysis |
Angelo Tinazzi,
Jayne Tierney |
source |
8 |
| PHUSE EU |
2007 |
Bootstrapping in a replicative bioequivalence study |
Feryal Tanriverdio,
Arne Ring |
source |
11 |
| PNWSUG |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2007 |
Graphing Estimates of Regression Models for Discrete and Limited Dependent Variables |
Jianming He,
David Budd |
|
10 |
| SGF |
2007 |
A SAS Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding |
Julius Ta,
Myduc L. Atashili |
source |
10 |
| SGF |
2007 |
Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software |
Bethany A. Kromrey,
Jeffrey D. Bell-Ellison |
source |
10 |
| SGF |
2007 |
Disagreement on Agreement: Two Alternative Agreement Coefficients |
Emily Spratt,
Kevin F. Blood |
source |
12 |
| SGF |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| 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 |
New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis |
Dan Heath |
source |
16 |
| SGF |
2007 |
Presentation Quality Forecast Visualization with SAS/GRAPH |
Samuel T. Croker |
source |
10 |
| SGF |
2007 |
Using SAS Macros to Produce Tables for Publication from SAS-Callable SUDAAN |
Roger P. Pickering |
source |
10 |
| PNWSUG |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| PNWSUG |
2006 |
You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| MWSUG |
2006 |
Deploying SAS as the Cornerstone of a Stability Monitoring Program |
Jeff Gardner |
|
9 |
| PHUSE EU |
2006 |
Basic Statistics and Commonly Encountered Statistical Tests for Statistical Programmers |
Maria Efstathiou |
source |
12 |
| PHUSE EU |
2006 |
Having Confidence in non-parametric data |
John Salter |
source |
8 |
| PHUSE EU |
2006 |
Some Basic Statistics for Non-Statisticians |
Gary S. Stevens |
source |
6 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell,
Sven Knudsen |
source |
13 |
| PHUSE EU |
2006 |
Statistics and Pharmacokinetics in Clinical Pharmacology Studies |
Amy Newlands |
source |
8 |
| SESUG |
2006 |
Effective Forecast Visualization With SAS/GRAPH |
Effective Forecast Visualization |
source |
12 |
| 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 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology |
Stuart D. Long |
source |
21 |
| WUSS |
2006 |
Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations |
Daniel Smith,
Elana Silver,
Martha Harnly |
source |
8 |
| WUSS |
2006 |
PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2006 |
Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry |
Keiko I. Powers |
source |
8 |
| WUSS |
2006 |
Sample Survey Data and the Procs you OUGHT To Be Using |
David L. Cassell |
source |
13 |
| WUSS |
2006 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
source |
14 |
| WUSS |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| NESUG |
2006 |
An Asset Liability Management (ALM) and Value-at-Risk (VaR) System in SAS/AF |
George Rezek |
|
5 |
| NESUG |
2006 |
Customizing Survival Plots by Example |
Nan Liu,
Marcelo Coca-Perraillon |
|
9 |
| NESUG |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
|
18 |
| NESUG |
2006 |
Using Annotate Datasets to Enhance Charts of Data With Confidence Intervals: Data-Driven Graphical Presentation |
Gwen Babcock |
|
9 |
| NESUG |
2006 |
Using SAS to Find Bootstrap Estimates of Field Air Sampling Data |
James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew |
|
4 |
| NESUG |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| PharmaSUG |
2006 |
Sample Size Calculation and Timeline Estimate for Progression-Free Survival |
Chung-Kuei Chang |
|
10 |
| 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 System of SAS Macros for Producing Statistical Reports |
Greg A. Grandits |
source |
7 |
| SUGI |
2006 |
An Evaluation of Splines in Linear Regression |
Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy |
source |
11 |
| SUGI |
2006 |
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 |
Exploiting the Link Between the Wilcoxon-Mann-Whitney Test and a Simple Odds Statistic |
Ralph G. O'Brien,
John M. Castelloe |
source |
12 |
| SUGI |
2006 |
Problems Commonly Associated with Forest Plots Addressed Using High Resolution Graphics in SAS |
Gary A. Foster,
Charles H. Goldsmith |
source |
8 |
| SUGI |
2006 |
Processing Large Environmental Data Sets with SAS: Writing Robust and Dynamic SAS Macro Code |
Peter Mooney,
Conor McDonagh,
Adam C. Winstanley |
source |
7 |
| SUGI |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
source |
18 |
| SUGI |
2006 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
source |
5 |
| SUGI |
2006 |
The Estimation of Sensitivity and Specificity of Clustered Binary Data |
William F. McCarthy,
Nan Guo |
source |
10 |
| SUGI |
2006 |
title=Like Wine, the TTEST Procedure Improves with Age |
John M. Castelloe,
Randall D. Tobias |
source |
14 |
| SUGI |
2006 |
Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands |
Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett |
source |
11 |
| SUGI |
2006 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
21 |
| SUGI |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| SUGI |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
source |
32 |
| PNWSUG |
2005 |
How to Make ODS Statistical Graphics Work for You [presentation] |
Andrew H. Karp |
|
48 |
| SESUG |
2005 |
_05 Robustness in Meta-analysis: A Macro for Computing Point Estimates and Confidence Intervals for |
Standardized Mean Differences,
Cliff's Delta,
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
John M. Ferron |
source |
10 |
| SCSUG |
2005 |
ODS Output of Proc SurveyMeans for a Bobcat Hunter Survey |
Rebecca G. Frederick,
E. Barry Moser,
Greg Linscombe,
Mike Olinde |
|
18 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| PHUSE EU |
2005 |
Data Mining in a Pharmaceutical Environment |
Franky De Cooman |
source |
4 |
| MWSUG |
2005 |
A Macro For The Calculation Of Age, Gender And Race Adjusted Incidence And Mortality Rates |
Padmini Sekar |
|
12 |
| MWSUG |
2005 |
Time Dependent Data Exploration And Preprocessing: Doing It All By SAS |
Joseph Twagilimana |
|
10 |
| MWSUG |
2005 |
Using SAS To Assess Dose Proportionality In Dose Escalation Studies |
Keith Dunnigan |
|
12 |
| WUSS |
2005 |
A Programmer's Guide to Statistical Procedures |
Jim Edgington |
source |
4 |
| NESUG |
2005 |
Algorithm and Software for Yield Analysis |
Igor Mandel,
Victor Kamensky |
|
16 |
| NESUG |
2005 |
Introduction to Experimental Design using SAS |
Jonas V. Bilenas |
|
13 |
| NESUG |
2005 |
Logistic Regression: Ordinal and Nominal Outcomes |
Peter L. Flom |
|
9 |
| NESUG |
2005 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
|
7 |
| PharmaSUG |
2005 |
%KMPlot - An Enhancement of SAS PROC LIFETEST |
Weifeng Xu,
William W.B. Wang |
|
8 |
| PharmaSUG |
2005 |
Noncompartmental Pharmacokinetics and Bioequivalence Analysis |
Arturo Soto Matos-Pita,
Bernardo de Miguel Lillo |
|
10 |
| PharmaSUG |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
|
10 |
| SUGI |
2005 |
A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance |
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron |
source |
10 |
| 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 |
Benchmark Dose Estimation Using SAS |
Matthew W. Wheeler |
source |
9 |
| SUGI |
2005 |
Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS Output Delivery System (ODS) |
Stuart D. Long |
source |
17 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| SUGI |
2005 |
Introducing SAS Forecast Studio |
Michael J. Leonard,
Brenda Wolfe,
Paddy Fahey |
source |
16 |
| SUGI |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
source |
10 |
| SUGI |
2005 |
Using Variable Values to Change Macro Variables in Loop Processing |
Michael G. Eberhart |
source |
6 |
| NESUG |
2004 |
A Regression Primer with a Touch of SAS |
Vincent Maffei |
|
14 |
| NESUG |
2004 |
A System to Calculate Value-at-Risk (VaR) using Monte Carlo Simulation II: Reporting |
George Rezek |
|
11 |
| NESUG |
2004 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
|
10 |
| NESUG |
2004 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
|
16 |
| SCSUG |
2004 |
Ranking Efficiency, Properness with SAS Probability Functions and Procedures |
Dagan Zhang |
|
8 |
| SCSUG |
2004 |
Using PROC SURVEYMEANS to Analyze A Creel Survey |
Rebecca G. Frederick,
E. Barry Moser,
George Melancon |
|
10 |
| 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 |
Structural Equation Modeling Assessing Micro Array Data |
Mussie A. Tesfamicael |
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 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
source |
16 |
| WUSS |
2004 |
PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function |
Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji |
source |
14 |
| WUSS |
2004 |
Survival Analysis Using SAS Macros, ODS and SAS/GRAPH |
Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky |
source |
9 |
| MWSUG |
2004 |
A System to Calculate Market Risk |
George Rezek |
|
11 |
| MWSUG |
2004 |
Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS ODS |
Stuart D. Long,
Lawrence Park |
|
17 |
| MWSUG |
2004 |
SAS Code for Estimating the Confidence Interval for a Standardized Effect Size |
S. Jonathan Mends-cole |
|
6 |
| MWSUG |
2004 |
SAS Macros to Implement Survival Analyses for Oncology Clinical Trials |
Adeline Yeo |
|
5 |
| PNWSUG |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation |
George Rezek |
|
12 |
| PharmaSUG |
2004 |
%Cox_PH - An enhancement of SAS PROC PHREG |
Hong (Lily) Zhang,
Robin Mogg |
|
8 |
| PharmaSUG |
2004 |
Automate Pharmacodynamic Analyses of Repeated Measure in Clinical Trials Using SAS Mixed Procedure |
Adeline Yeo,
Grace Li |
|
5 |
| PharmaSUG |
2004 |
Generating Least Square Means, Standard Error, Observed Mean, Standard Deviation and Confidence Intervals for Treatment Differences using Proc Mixed |
Richann J. Watson |
|
12 |
| PharmaSUG |
2004 |
Statistical Application of SAS in Method Comparison Analysis |
David Shen |
|
13 |
| SUGI |
2004 |
A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
source |
11 |
| SUGI |
2004 |
A SAS Program Computes the Crude, Stratified and Mantel-Haenszel Odds Ratio for Case-Control Study Analysis of Nx2xK Tables |
Ilene K. Brill,
Fabio Barbone |
source |
10 |
| SUGI |
2004 |
A System to Calculate Market Value-at-Risk using Oracle |
George Rezek |
source |
11 |
| SUGI |
2004 |
Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic |
Dave P. Miller |
source |
8 |
| SUGI |
2004 |
Creating Ranking Charts Using SAS/GRAPH and the Annotate Facility |
Luke Castellanos,
Nick Spanos |
source |
10 |
| SUGI |
2004 |
Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER |
Ralph G. O'Brien,
John M. Castelloe |
source |
12 |
| SUGI |
2004 |
SAS SPM Solution for Healthcare: Quallity Improvement for Providers Using Statistical Process Control |
Robert N. Rodriguez,
Susan B. Lewellen |
source |
28 |
| 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 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
source |
17 |
| WUSS |
2003 |
A Macro To Display The Kaplan-Meier Curve With An Annotated Failure Table |
Kristie Kooken,
Colin Kuang |
source |
5 |
| WUSS |
2003 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
6 |
| SESUG |
2003 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
source |
10 |
| SESUG |
2003 |
EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences |
Around Standardized Mean Differences |
source |
6 |
| MWSUG |
2003 |
Parameter Estimation of a Negative Binomial for the By-product of the Gringard Reaction |
Ling Huang,
Paul W. Johnson |
|
4 |
| NESUG |
2003 |
A SAS Program for Estimating Incidence Density for Cohort Studies with Multiple Follow-ups |
Jinbing Zhang,
Xiaofang Yu |
|
5 |
| NESUG |
2003 |
Developing Custom Analytic Tasks for Enterprise Guide |
Joe Carter,
Stephen McDaniel,
Mike Porter |
|
6 |
| NESUG |
2003 |
Forcing SAS/GRAPH Software to Meet My Statistical Needs: A Graphical Presentation of Odds Ratios |
Richard M. Mitchell |
|
6 |
| VIEWS |
2003 |
Analysing Binary Outcome Data from a Crossover Design Study using the SAS System |
Anna Pictor |
presentation |
8 |
| VIEWS |
2003 |
Box-and-Whisker Plots with The SAS System |
David Shannon |
presentation |
9 |
| PharmaSUG |
2003 |
Confidence Intervals in Analysis and Reporting of Clinical Trials |
Guangbin Peng |
|
8 |
| PharmaSUG |
2003 |
Sneak Peek: Previewing Blinded Study Results |
Amy Rhoads Underwood |
|
4 |
| PharmaSUG |
2003 |
The Confidence in the 95% Confidence Interval of Mean |
Bhargavi A. Raghavan |
|
2 |
| PharmaSUG |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
|
10 |
| SUGI |
2003 |
Application of the LOESS Procedure for Monitoring and Detecting Critical Movements in the US Automobile Market |
Keiko I. Powers,
J. Michael Jay,
Tie Gao |
source |
6 |
| SUGI |
2003 |
eveloping Custom Analytic Tasks for SAS |
Joe Carter,
Stephen McDaniel,
Mike Porter |
source |
6 |
| SUGI |
2003 |
Fast and Easy Ways to Advance on Your Beginning SAS Coworkers! |
Richard M. Mitchell |
source |
|
| SUGI |
2003 |
The Use of Geographic Information Systems to Investigate Environmental Pollutants in Relationship to Medical Treatment |
Patricia B. Cerrito,
Robert Forbes,
George R. Barnes |
source |
6 |
| SUGI |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
source |
10 |
| SCSUG |
2002 |
Grading Efficiency Based On Gamma Distribution with SAS Procedures |
Dagan Zhang |
|
8 |
| NESUG |
2002 |
Estimating Confidence Intervals Around Relative Changes in Outcomes in Segmented Regression Analyses of Time Series Data |
Fang Zhang,
Anita Wagner,
Stephen B. Soumerai,
Dennis Ross-Degnan |
|
7 |
| SESUG |
2002 |
A SAS Program for the Computation of the Crude, Stratified and Mantel-Haenszel Odds Ratio in Case-Control Study Data Analysis of Nx2xK tables |
Odds Ratio |
source |
6 |
| SESUG |
2002 |
Comparison of Correlated Proportions using SAS PROC GLM: a Simulation Study |
Mark S. Litaker,
Daron G. Ferris |
source |
4 |
| SESUG |
2002 |
Research Across Multiple Systems: Probabilistic Population Estimation (PPE) |
Diane Haynes,
Rebecca Larsen,
Shabnam Mehra |
source |
7 |
| SESUG |
2002 |
SAS Programs for Adding Functionality to the Occupational Mortality Analysis Program (OCMAP) Software |
Occupational Mortality |
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 |
A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics |
Lang-Feng Tsai |
source |
5 |
| WUSS |
2002 |
Calculating kappa Measures of Agreement and Standard Errors Using SAS Software: Some Tricks and Traps |
Ann Olmsted |
source |
6 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| WUSS |
2002 |
Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples |
Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye |
source |
6 |
| WUSS |
2002 |
Optimum Sampling by Ratio Estimation |
Robert Plath |
source |
7 |
| WUSS |
2002 |
Perform Survival Analysis for Clinical Trials Using ODS |
Wei Cheng |
source |
5 |
| SEUGI |
2002 |
SAS application: PEST 4 for sequential clinical trials [presentation] |
Tatsuru Matsushita |
source |
19 |
| SEUGI |
2002 |
SAS Meets Big Iron: High Performance Computing in SAS Analytic Procedures [presentation] |
Robert A. Cohen |
source |
61 |
| PharmaSUG |
2002 |
Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED |
Chain Algorithm |
|
6 |
| PharmaSUG |
2002 |
Fast Two-Sample Permutation Tests, Even When One Sample is Large, that Efficiently Maximize Power Under Crude Monte Carlo Sampling |
John D. Opdyke |
|
10 |
| PharmaSUG |
2002 |
Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions |
Lori S. Parsons |
|
6 |
| PharmaSUG |
2002 |
MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word |
Richard Thomas |
|
6 |
| SUGI |
2002 |
A SAS/IML Macro for Computation of Confidence Intervals for Variance Components of Mixed Models |
Ann M. Hess,
Hari Iyer |
source |
4 |
| SUGI |
2002 |
Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions |
Lori S. Parsons |
source |
6 |
| SUGI |
2002 |
SAS Tools for Meta-analysis |
Robert M. Hamer,
Pippa M. Simpson |
source |
6 |
| NESUG |
2001 |
A Comparison of Binomial Proportion Interval Estimation Methods |
John Ulicny |
|
7 |
| NESUG |
2001 |
MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word |
Richard Thomas |
|
6 |
| NESUG |
2001 |
Using Surveys to Understand the Present and Predict the Future |
Aliza Heching,
Ying Tat Leung |
|
6 |
| VIEWS |
2001 |
The Version 8 Applied Statistician |
David Shannon |
|
15 |
| WUSS |
2001 |
A Macro for Calculating and Displaying Smoking Prevalence and Confidence Intervals |
Brett Holbrook |
source |
3 |
| WUSS |
2001 |
What about a PROC RATES for All of Your Rates and Proportions Needs? |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
6 |
| SESUG |
2001 |
A Confidence Interval Approach to Gene Chip Analysis |
Jennifer L. Waller |
source |
6 |
| SESUG |
2001 |
Conversion of SUDAAN Output into Publication-Quality Tables - A Simplified Approach |
Charlotte Cates Gard |
source |
6 |
| SESUG |
2001 |
GETTING STARTED WITH PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SCSUG |
2001 |
A Confidence Interval Approach to Gene Chip Analysis |
Jennifer L. Waller,
Mark G. Anderson |
|
6 |
| SCSUG |
2001 |
Conversion of SUDANN Output into Publication-Quality Tables--A Simplified Approach |
Charlotte Cates Gard |
|
6 |
| SCSUG |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SCSUG |
2001 |
Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure |
Hossein N. Yarandi,
Shawn J. Kniepp |
|
5 |
| SCSUG |
2001 |
Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals |
Jim Penny |
|
5 |
| SEUGI |
2001 |
Data Mining as Method to Streamline the Drug Discovery Process [presentation] |
Markus Duerring |
source |
20 |
| SEUGI |
2001 |
Statistical Analysis for analytical methods validations |
A. Vanassia,
E. Tizzani,
Nguyen Van Danh,
R. Corneo,
V. Nanni |
source |
9 |
| SEUGI |
2001 |
Web clickstream analysis to understand customer behaviour [presentation] |
Erika Blanc,
Paolo Giudici |
source |
21 |
| PharmaSUG |
2001 |
Fitting Gompertz Nonlinear Mixed Model to Infancy Growth Data with SAS version 8 Procedure NLMIXED |
Cindy Q. Song,
Olga M. Kuznetsova |
|
8 |
| SUGI |
2001 |
A SAS Program for the Computation of Seroconversion Rates in a Prospective Study of HIV Discordant Couples in Lusaka, Zambia |
Ilene K. Brill,
Maurizio Macaluso,
Jareen K. Meinzen-Derr,
Susan A. Allen |
source |
7 |
| SUGI |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2001 |
New Methods for Modeling Reliability Using Degradation Data |
Jose G. Ramirez,
Gordon Johnston |
source |
7 |
| SUGI |
2001 |
Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
source |
10 |
| SUGI |
2001 |
The Visualization of Continuous Data Using PROC KDE and PROC CAPABILITY |
George R. Barnes,
Patricia B. Cerrito |
source |
6 |
| SCSUG |
2000 |
Using JMP Version 4 for Time Series Analysis |
William R. Gjertsen |
|
10 |
| SESUG |
2000 |
A SAS Program for the Computation of Seroconversion Rates in a Prospective Study of HIV Discordant Couples in Lusaka, Zambia |
Ilene Brill,
Maurizio Macaluso,
Jareen K. Meinzen-Derr,
Susan Allen |
source |
7 |
| SESUG |
2000 |
Exploratory Data Analysis using PROC UNIVARIATE |
Robert E. Maitland Jr. |
source |
4 |
| SESUG |
2000 |
Performing Exact Logistic Regression with the SAS R /AD System |
Robert E. Derr |
source |
10 |
| SESUG |
2000 |
Using JMP Version 4 for Time Series Analysis |
William R. Gjertsen |
source |
10 |
| NESUG |
2000 |
Applying Survival Analysis Techniques to Loan Terminations for HUD's Reverse Mortgage Insurance Program - HECM |
Ming H. Chow |
|
8 |
| NESUG |
2000 |
Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes |
Li wan Chen |
|
7 |
| NESUG |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
2000 |
How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD |
Ernest S. Shtatland |
|
9 |
| WUSS |
2000 |
Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD |
Besa Smith |
source |
5 |
| WUSS |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| WUSS |
2000 |
Using SAS to Calculate Kappa and Confidence Intervals for Binary Data with Multiple Raters, and the Consensus of Multiple Diagnoses |
Arthur M. Noda,
Helena Chmura Kraemer,
Vyjeyanthl S. Perlyakoll |
source |
6 |
| 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 |
SAS Software for the Analysis of Epidemiologic Data [presentation] |
Hans-Peter Altenburg |
source |
39 |
| PharmaSUG |
2000 |
An Alternative to the Odds Ratio: A Method for Comparing Adjusted Treatment Group Effects on a Dichotomous Outcome |
P. Chris Holland |
|
5 |
| PharmaSUG |
2000 |
Calculating a Nonparametric Estimate and Confidence Interval Using SAS Software |
Chris Decker |
|
3 |
| SUGI |
2000 |
Forcing SAS/GRAPH Software to Meet My Statistical Needs: A Graphical Presentation of Odds Ratios |
Richard M. Mitchell |
source |
6 |
| SUGI |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2000 |
How to Customize Axes in PROC GPLOT |
Izabella Peszek |
source |
3 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| SUGI |
2000 |
Performing Exact Logistic Regression with the SAS System |
Bob Derr |
source |
10 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SESUG |
1999 |
A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions |
Maribeth H. Johnson,
Mark S. Litaker |
source |
2 |
| WUSS |
1999 |
A SAS IML Macro for Performing Koch's Stratified Test of Equivalence |
Jimmy Thomas Efrid |
source |
5 |
| WUSS |
1999 |
Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions |
Nathan A. Curtis |
source |
10 |
| WUSS |
1999 |
Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD |
Besa Nushi |
source |
5 |
| NESUG |
1999 |
The missing link: PROC GENMOD |
Margaret Ann Goetz |
|
3 |
| MWSUG |
1999 |
Multivariate Time Series Analysis - An adaptation of Box-Jenkins Methodology |
Joseph N. Ladalla |
|
6 |
| MWSUG |
1999 |
Sample Size Determination From A Pilot Bioequivalence Study For A Future Pivotal Bioequivalence Study: A SAS Procedure |
Xiang Gao,
Henry Cheng |
|
7 |
| SEUGI |
1999 |
Outlier detection at EUROSTAT [presentation] |
Pacal Loosveldt |
source |
31 |
| SUGI |
1999 |
Measurement of Interrater Agreement: A SAS/IML Macro Kappa Procedure for Handling Incomplete Data |
Honghu Liu,
Ron D. Hays |
source |
6 |
| SUGI |
1999 |
Statistical Graphics |
David A. Dickey |
source |
8 |
| SUGI |
1999 |
Using SAS Macros to Develop Confidence Intervals for the Weibull and Extreme Value Distributions Using Type II Censored Data |
Scott M. Jordan,
Muhammad Zaman |
source |
6 |
| SUGI |
1999 |
Using SAS Software to Calculate Tests of Cliffs Delta |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
source |
5 |
| MWSUG |
1998 |
An Introduction to Binary Logistic Regression |
Linda M. Quinn |
|
8 |
| WUSS |
1998 |
A PROC IML Macro for Detecting Health Care Fraud |
Jimmy Thomas Efrid |
source |
3 |
| WUSS |
1998 |
Constants for Two-Sided Normal Tolerance Intervals |
William N. Anderson |
source |
6 |
| WUSS |
1998 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| SESUG |
1998 |
Computing a Test Statistic for Scale Parameters Based on a Jackknife Procedure |
Jean G. Orelien |
|
6 |
| SESUG |
1998 |
Using SAS to Calculate Tests of Cliff's Delta |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
|
5 |
| SEUGI |
1998 |
Bioequivalence standardized |
Julian Singer |
source |
6 |
| SEUGI |
1998 |
SCHARP: Survival Curve and Hazard Ratio Program |
Angelo Tinazzi,
Jayne Tierney,
Lesley Stewart,
Max Parmar,
Valter Torri |
source |
9 |
| PharmaSUG |
1998 |
Use of Pilot Trials as Screening Procedure in Generic Drug Product Development: Statistical Power and Influential Factors |
Yibin Wang |
|
5 |
| SUGI |
1998 |
A SAS Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions |
Paul R. Coe |
source |
6 |
| SUGI |
1998 |
Bootstrapping the Standard Error of the Mediated Effect |
Chondra M. Lockwood,
David P. MacKinnon |
source |
6 |
| SUGI |
1998 |
CHEKOU T : A SAS Program to Screen for Outliers |
James Handsfield |
source |
3 |
| SUGI |
1998 |
Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals |
Mark Nicolich,
Gail Jorgensen |
source |
5 |
| SUGI |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| SUGI |
1998 |
Overall Part Number Item |
Rank Rank |
source |
19 |
| SUGI |
1998 |
Reporting Results of Multiple Logistic Regression Models Depending on the A vailability of Data |
Richard M. Mitchell |
source |
5 |
| SUGI |
1998 |
Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization |
Honghu Liu |
source |
6 |
| SUGI |
1998 |
Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System |
Pamela J. Atherton |
source |
7 |
| SUGI |
1998 |
Using JMP Software to Get a Jump on Childhood Leukemia by Modeling Assay Data |
Pippa M. Simpson,
Merlin Hamre,
H. Spencer,
Y. Ravindranath |
source |
3 |
| SCSUG |
1997 |
A Macro to Generate the Sensitivity, Specificity, Positiv Predictive Value, Negative Predictive Value and Their 95% CI's |
Qingling Zhang |
|
8 |
| SCSUG |
1997 |
Hodges-Lehmann Confidence Intervals for a Shift in Location Using SAS Procedure SQL |
Ann Olmstead |
|
6 |
| SCSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| PNWSUG |
1997 |
Extreme Events |
Terry Pease |
|
4 |
| WUSS |
1997 |
Analysis of Designed Experiments Using SAS PROC GENMOD |
Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis |
source |
6 |
| WUSS |
1997 |
Analysis of Time Series Data - An Application in Health Care |
Sujaya Parthasarathy |
source |
6 |
| WUSS |
1997 |
Estimation of Shelf-Life and the Minimum Effective Dose Using PROC MIXED |
Louis Munyakazi |
source |
6 |
| WUSS |
1997 |
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
10 |
| WUSS |
1997 |
Population Adjusted Kaplan-Meier Curves |
Jimmy Thomas Efrid |
source |
6 |
| WUSS |
1997 |
Reliability Data Analysis in the SAS System |
Donna O. Fulenwider,
Gordon Johnson |
source |
10 |
| NESUG |
1997 |
A Self-Organizing Median-Estimation Model |
Susan B. Garavaglia |
|
9 |
| NESUG |
1997 |
Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function |
Vadim Pliner |
|
8 |
| NESUG |
1997 |
Creating Complex Graphics for Survival Analyses with the SAS System |
Steven E. Elkin |
|
7 |
| NESUG |
1997 |
One Bar Chart, Two Variables, Three Axes |
Anne Horney |
|
5 |
| NESUG |
1997 |
Saving Trees and Time - A SAS Macro for Testing and Reporting the Association Between Multiple Candidate Variables and a Single Binary Variable |
Christianna S. Williams |
|
9 |
| MWSUG |
1997 |
A simple macro to identify samples for reanalysis |
Robert H. Gallavan,
James M. McKim |
|
3 |
| MWSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| MWSUG |
1997 |
Using SAS for Variance Estimation with Complex Sample Surveys |
Patricia A. Berglund |
|
9 |
| SEUGI |
1997 |
Conventional and unconventional graphs in SAS |
Julian Singer |
source |
8 |
| SEUGI |
1997 |
Modelling of road deterioration including lifetime distribution and the Cox model |
Emmanuel Courilleau |
source |
11 |
| PharmaSUG |
1997 |
SAS Output To Final Polished Tables And Listings: An Automated Procedure Using Microsoft Wordbasic And Microsoft Visual Basic |
R. J. Wilson |
|
5 |
| SUGI |
1997 |
A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient |
Robert A. Vierkant |
source |
5 |
| SUGI |
1997 |
Creating Complex Graphics for Survival Analyses with the SAS System |
Steven E. Elkin,
William Mietlowski,
Kevin McCague,
Andrea Kay |
source |
6 |
| SUGI |
1997 |
Demonstrating Systematic Sampling |
Julie Wildman-Pepe |
source |
6 |
| SUGI |
1997 |
Developing Risk Adjustment Techniques Using the SAS System for Assessing Health Care Quality in the IMSystem |
Yanchun Xu,
Andrius Kubilius |
source |
5 |
| SUGI |
1997 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| 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 |
Odds Ratios in a Tabular Presentation |
Stephen M. Noga,
Dingyi Zhao |
source |
6 |
| SUGI |
1997 |
Two Methods to Produce Mean Plots of Clinical Trials Data: Why Simplifying with Annotate is Not an Oxymoron |
Michael A. Riddle |
source |
6 |
| SUGI |
1997 |
Use of SAS/AF and the SAS/GRAPH Output Class Object to Develop Applications That Can Return Scatterplot Information |
Michael Hartman |
source |
5 |
| SUGI |
1997 |
Using Higher Order Asymptotics to Improve P-values and Confidence Intervals Given by PROC MIXED |
Ben Lyons,
Dawn Peters |
source |
5 |
| SUGI |
1997 |
Visual Hypothesis Testing with Confidence Intervals |
Robert W. Smith |
source |
|
| SCSUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions |
Maribeth H. Johnson,
Mark S. Litaker |
|
2 |
| SESUG |
1996 |
Bootstrappping Confidence Intervals and Mean Variances |
Bradley C. Martin,
Jeffrey H. Dorfman |
|
3 |
| SESUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
Some Strategies for Efficiently Producing Graphs of Clinical Trials Data |
Michael A. Riddle |
|
6 |
| NESUG |
1996 |
Between a ROC Curve and a Hard Place |
Joseph Kufera,
Kimberly A. Mitchell |
|
10 |
| NESUG |
1996 |
BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 |
Mary Kay McPherson |
|
6 |
| NESUG |
1996 |
Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data |
Lisa Suchower,
Margaret Copenhaver |
|
8 |
| WUSS |
1996 |
Plots With Generalized Confidence Intervals Using SAS/GRAPH |
Linda C. Whitehand,
Bruce E. Mackey |
source |
5 |
| PNWSUG |
1996 |
Computing and Presenting Adjusted Rates for Health Utilization Research |
William Kreuter |
|
17 |
| SEUGI |
1996 |
About adjustment of method of banks' rating |
S. G. Melnikov,
V. E. Sorokoumov |
source |
5 |
| SEUGI |
1996 |
NOSTRO and current accounts operating - analysis and forecasting algorithms |
S. G. Melnikov,
V. E. Sorokoumov |
source |
6 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| SUGI |
1996 |
A Tutorial on Bootstrapping in the SAS System |
Paul A. Thompson |
source |
10 |
| SUGI |
1996 |
Beating Student's t and the Bootstrap - USing SAS Software to Generate Conditional Confidence Intervals for Means |
Thomas C. Chenier,
Paul Vos |
source |
6 |
| SUGI |
1996 |
Simplifying SAS/GRAPH Production Using Utility Macros |
Donald W. Peterson,
Lothar Tremmel |
source |
5 |
| SUGI |
1996 |
Using SAS Software to Assess and Adjust for Nonlinearity in Nonlinear RegreSSion Models |
Timothy E. O'Brien,
Ye Wang |
source |
10 |
| MWSUG |
1995 |
An Introduction to Binary Logistic Regression |
Linda M. Quinn |
|
8 |
| MWSUG |
1995 |
Calculation of the Mean and Variance of Lognormal Data Which Contains Left-Censored Observations |
Stephen J. Ganocy |
|
6 |
| MWSUG |
1995 |
Doing Inverse Regression Estimation Via SAS/IML |
E. C. Drago,
T. G. Filloon |
|
6 |
| MWSUG |
1995 |
Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach |
Tom G. Filloon |
|
6 |
| MWSUG |
1995 |
SAS Macros for Exact Confidence Limits |
Richard L. Berg |
|
6 |
| NESUG |
1995 |
A Survey of Capability Invoices |
Dennis W. King |
|
11 |
| NESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
1995 |
How to Put Almost Anything into a PROC TABULATE Cell |
Michael E. Tomb |
|
2 |
| NESUG |
1995 |
Rank Based Alternatives to Normal Least Square Analyses |
Maria C. Prenger |
|
6 |
| NESUG |
1995 |
Using SAS To Compute Variances For Stratified Samples |
Lawrence Helbers |
|
5 |
| WUSS |
1995 |
Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions |
Jennifer Lee,
Chul W. Ahn |
source |
3 |
| SESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SEUGI |
1995 |
Macro Procedure for Equivalence Testing |
Francois Montestruc |
source |
16 |
| SEUGI |
1995 |
Model Building for the Cox Proportional Hazards Model with the SAS System |
Richard Vonk |
source |
12 |
| SUGI |
1995 |
A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses |
Nancy McDermott,
Cynthia White |
source |
6 |
| SUGI |
1995 |
Calculating Confidence Intervals on Proportions of Variability Using the VARCOMP and IML Procedures |
Annette M. Green,
David Umbach |
source |
6 |
| SUGI |
1995 |
Conducting Linear Growth Curve Analysis with the SAS System |
Laura Ichikawa,
William E. Barlow |
source |
6 |
| SUGI |
1995 |
Enhanced Graphical Output from Nonlinear Regression: Moving from Vision to Reality |
David F. Smith |
source |
2 |
| SUGI |
1995 |
Plotting Confidence Intervals and Prediction Bands with SAS/GRAPH Software |
Huixing Tang,
Kerril S. Bauerly,
David Swift |
source |
3 |
| SCSUG |
1994 |
Plotting Confidence Intervals and Prediction Bands With SAS/GRAPH |
Huixing Tang,
David Swift,
Kerril S. Bauerly |
|
5 |
| SCSUG |
1994 |
Two Macros for Calculating Often Used Statistics of Symmetry and Agreement in the Biopharmaceutical Industry |
Jeff Heckathorn,
Mark F. Munsell |
|
12 |
| NESUG |
1994 |
Using of the PHREG Procedure in a Matched Case-Control Analysis |
Karin LaPann |
|
4 |
| MWSUG |
1994 |
Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports |
A. David Mundt |
|
9 |
| SESUG |
1994 |
GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS |
David A. Dickey |
|
4 |
| SESUG |
1994 |
Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios |
Sigurd W. Hermansen |
|
5 |
| SESUG |
1994 |
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 |
| SESUG |
1994 |
rOSTERS Applications in SASIIMLTM: Getting Odds Ratios from PROC LOGISTIC |
D. Kim Chantala |
|
5 |
| SEUGI |
1994 |
Point and Interval Estimation of Risk and Rate Advancement Periods in Epidemiologic Studies Using SAS Software |
Annette Pfhalberg |
source |
11 |
| SEUGI |
1994 |
Resampling Using SAS/IML Software Some Medical Applications |
Gina Joubert |
source |
8 |
| SEUGI |
1994 |
The Role of SAS Software in the Analysis of the Data in a Donor Insemination Programme |
William Wallace |
source |
14 |
| SEUGI |
1994 |
Using the SAS Software, SQL and SIMPLE++ to Ensure that Expensive Investment Decision are Based on a Statistically Sound Experimental Analysis of Descrete Event Simulation Models |
P. Rushton |
source |
10 |
| SUGI |
1994 |
Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients |
Regina Louie,
Alex Yaroshinsky |
source |
5 |
| SUGI |
1994 |
Forecasting Operational Indices Using SAS/ETS Software |
Laura McCarty |
source |
5 |
| SUGI |
1994 |
Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs |
Richard P. Steiner,
N. Margaret Wineman |
source |
5 |
| 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 |
| NESUG |
1993 |
Survial Data Analysis - Life Table Methods |
Wei Zhang |
|
10 |
| SEUGI |
1993 |
Simulation Models for Business Planning and Economic Forecasting |
Liza Evans |
source |
7 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SEUGI |
1993 |
Using the SAS System for COSINOR Analysis of 24 Hour Ambulatory Blood Pressure Monitoring (ABPM) Data |
Roberto Ferrara |
source |
13 |
| SUGI |
1993 |
An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression |
Tapon Roy |
source |
6 |
| SUGI |
1993 |
An Introduction to SAS/LAB Software |
Katherine J. Roggenkamp |
source |
10 |
| SUGI |
1993 |
Forecasting Methods |
Mark Little |
source |
13 |
| SUGI |
1993 |
Generating Confidence in the SAS System: Confidence Intervals for Commonly Used Procedures |
Jose Maria J. Alvir |
source |
4 |
| SUGI |
1993 |
Using SAS/IML Software to Generate Odds Ratios and Associated Intervals Based on Logistic Regression Output |
Catherine O. Cowie,
Danita D. Byrd-Hol,
Keith F. Rust |
source |
6 |
| SESUG |
1993 |
Combined Ratio Estimates Computed with SAS |
Joan M. Pausche |
|
6 |
| SCSUG |
1992 |
Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC |
Chuan-Chuan C. Wun |
|
19 |
| NESUG |
1992 |
A SAS Program for Determing Distribution-Free Confidence Intervals for Medians |
Willard Carl Losinger |
|
4 |
| SEUGI |
1992 |
A SAS/AF Application for Data Samples Analysis |
Gianni Grippa |
source |
11 |
| SEUGI |
1992 |
PRPEST:A Flexible SAS Macro for Estimation of Risk Factor Impact in Epidemiologic Studies |
Hermann Brenner,
Olaf Gefeller |
source |
9 |
| SEUGI |
1992 |
SAS Macros for Exact Methods in Nonparametrical Statistics |
Thomas Bregenzer |
source |
12 |
| SEUGI |
1992 |
What's New in Release 6.07 of SAS/GRAPH Software |
Angela Zenari,
Karin Essmann |
source |
11 |
| SUGI |
1992 |
An Interactive SAS/AF System for Assessing Bioequivalence |
Deborah Dukovic |
source |
6 |
| SUGI |
1992 |
Assessment of Interrater Agreement for Multiple Nominal Responses among Several Raters |
Chul W. Ahn |
source |
6 |
| SUGI |
1992 |
Extending the SAS System's Statistical Capabilities with SAS/IML Software |
Charles B. Hallahan |
source |
10 |
| SUGI |
1992 |
POWER: A Simple Macro for Power and Sample Size Calculations |
Kristin Latour |
source |
5 |
| SUGI |
1992 |
Using SAS/CALC Software to Complement SAS/STAT Software |
Edward Wei-Tarng Lee,
Kendall Bryant,
Mary-Ellen Power |
source |
10 |
| SCSUG |
1991 |
Confidence Intervals for Bionomial Distributions Using SAS Graphics and PROBBNML |
Alan Davis |
|
7 |
| MWSUG |
1991 |
Using PC SAS/ASSIST for Statistical Analysis |
Margaret A. Nemeth |
|
6 |
| SEUGI |
1991 |
A Graphical Demonstration of Statistical Concepts |
Marlies Lacante |
source |
13 |
| SEUGI |
1991 |
Confidence Intervals for Bioequivalence Studies |
B. Jones,
D. J. Nichols,
P. Blood |
source |
12 |
| SEUGI |
1991 |
Features of SAS/PH-Clinical Software |
Gerhard Held,
Patrick O'Donoghue |
source |
10 |
| SEUGI |
1991 |
Statistical Evaluation and Forecasting of Steel Corrosion Data |
Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester |
source |
11 |
| SUGI |
1991 |
A Macro to Create a SAS Data Set Containing Commonly Reported Statistics for the Analysis of Multiple 2 x 2 Tables |
Suzanne Edwards,
John Henry King,
Gary G. Koch |
source |
4 |
| SUGI |
1991 |
A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures |
Susan Foley Anton,
Joseph J. Andary |
source |
6 |
| SUGI |
1991 |
A Program to Compute Odds Ratios and Confidence Intervals from LOGISTIC Output |
Eric Yu I. Wang,
Aili Gong,
David P. MacKinnon |
source |
4 |
| SUGI |
1991 |
A SAS Procedure for Outlier Detection in Bioavailability/ Bioequivalence Studies |
Jyh-Shiun Lin,
Shein-Chung Chow,
Siu-Keung Tse |
source |
5 |
| SUGI |
1991 |
A SAS Program for Seasonal Kendall Trend Analysis of Monthly Water Quality Data |
Sungsue Rheem,
Golde I. Holtzman |
source |
6 |
| SUGI |
1991 |
About JMP 2.0 |
John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman |
source |
6 |
| SUGI |
1991 |
Confidence Intervals for Contrasts in the Unbalanced Analysis of Variance Using SAS/IML Software |
John Ilgenfritz,
Anand K. Seth |
source |
6 |
| SUGI |
1991 |
Exact Confidence Intervals for Estimating Proportions When Sampling from a Finite Population |
How J. Tsao,
Steven M. LaLonde |
source |
5 |
| SUGI |
1991 |
Features of SAS/PH-Clinical Software |
Sandra D. Schlotzhauer |
source |
10 |
| SUGI |
1991 |
Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution |
Sally Powell |
source |
5 |
| SUGI |
1991 |
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 |
| SEUGI |
1990 |
CITIDMSP - Citibank's Direct Marketing Software Package |
Akos Felsovalyi |
source |
12 |
| SUGI |
1990 |
Computation of Variances of Functions of Parameter Estimates for Mixed Models in the GLM Procedure |
Ramon C. Littell,
Stephen B. Linda |
source |
8 |
| SUGI |
1990 |
Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS Software |
Danny L. Kugler,
E. Henry Lee |
source |
6 |
| SUGI |
1990 |
Error Bars with Line Graphs and Bar Charts |
Shuching Shaw,
Bernard Most |
source |
6 |
| SUGI |
1990 |
How to Stop a Simulation |
Michael A. Greene,
Gretchen K. Jones |
source |
6 |
| SUGI |
1990 |
Nonparametric Estimates and Confidence Intervals for the Medians and Difference in Medians Between Two Treatment Groups |
Rodney Wong,
Reiling Lee |
source |
5 |
| SUGI |
1990 |
Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC |
George W. Pasdirtz |
source |
4 |
| SUGI |
1990 |
SAS/GRAPH Software and Numerical Taxonomy |
Dan Jacobs |
source |
6 |
| NESUG |
1989 |
A Variation in PROC GPLOT for Presentation of SPMR Data |
Patrick J. Roohan,
Michael S. Zdeb |
|
6 |
| NESUG |
1989 |
Displaying Taxonomic Data Anaylses Using SAS/GRAPH |
Dan Jacobs |
|
7 |
| NESUG |
1989 |
Sequential Sampling Techniques and Weighted Analysis |
Wendell F. Refior |
|
7 |
| SEUGI |
1989 |
A Bioassay Method Using SAS/STAT Software |
C. M Fenton,
P. Blood |
source |
12 |
| SEUGI |
1989 |
A Health Information Service Based On SAS Software |
Zachary Johnson |
source |
12 |
| 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 |
Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure |
Frank E. Harrell Jr.,
James E. Herndon II |
source |
6 |
| SUGI |
1989 |
How to Establish a Forecasting System with SASSoftware |
Joel Fingerman |
source |
10 |
| SUGI |
1989 |
Illustrating Base SAS SAS/FSP;, and SAS/GRAPH Software in Epidemiologic Investigations |
Dennis Deapen,
Flora Fung,
Janice Schaefer |
source |
6 |
| SUGI |
1989 |
Illustrating Confidence Intervals Using SAS Software |
Julie Wildman-Pepe |
source |
6 |
| SUGI |
1989 |
Most Creative Use of the Software-Monochrome |
Leslie Worf |
source |
116 |
| SUGI |
1989 |
Multivariate Models for the Analysis of Crossover Experiments |
Vernon M. Chinchilli,
Ronald K. Elswick |
source |
5 |
| SUGI |
1989 |
Robust and Exploratory Analyses Automated |
E. James Harner,
Gerald R. Hobbs |
source |
5 |
| SUGI |
1989 |
The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design |
David Yu-Wu Pee,
Sholom Wacholder |
source |
6 |
| SEUGI |
1988 |
A Procedure for Documenting and Assessing Bioequivalence |
Alfredo Ardia,
C. Montoro,
N. Orlando |
source |
11 |
| SEUGI |
1988 |
Confidence Regions for Non-Linear Regression |
Graham Healy |
source |
8 |
| 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 |
Microsys a Microbiological Working Data Base System |
Carol Adair,
Philip Whittal |
source |
5 |
| SUGI |
1988 |
Exact and Monte Carlo Methods for Computing Non-Parametric Significance Tests |
Cyrus R. Mehta,
Nitin R. Patel,
Pralay Senchaudhuri |
source |
6 |
| SUGI |
1988 |
Forecasting as a Tool for Decision Making |
Joel Fingerman |
source |
6 |
| SUGI |
1988 |
Power Analysis in an Enhanced GLM Procedure: What It Might Look Like |
Ralph G. O'Brien,
S. Paul Wright |
source |
6 |
| SUGI |
1988 |
PROC TWOSAMPLE A SAS Procedure for the Two-Sample T and Rank-Sum Tests with Extensions |
Jon L. Kosanke,
Peter C. O'Brien,
Kenneth P. Offord |
source |
6 |
| SUGI |
1988 |
SPAM: Spatial Autocorrelation Modeling |
Andrew J. R. Gillespie |
source |
5 |
| SUGI |
1988 |
Statistics for Ordered Categorical Data |
Thomas O'Gorman,
Robert F. Woolson |
source |
7 |
| SUGI |
1988 |
Using the NLIN Procedure to Fit Segmented Regression Models: A Tutorial |
George A. Milliken |
source |
10 |
| SUGI |
1987 |
Beyond Default Colors: Introduction to Customizing Graphics Output |
Janet Lasher |
source |
4 |
| SUGI |
1987 |
Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations |
Herbert Hamilton |
source |
6 |
| SUGI |
1987 |
Incorporating Management Judgement in Forecasting |
Joel Fingerman |
source |
6 |
| SUGI |
1987 |
Use of SAS Procedures for Estimating Design Based Logistic Regression Variances by Balanced Repeated Replication (BRR) |
Daniel H. Freeman Jr.,
Philip J. Leaf,
Martha Livingston Bruce |
source |
5 |
| SUGI |
1987 |
Using SAS/GRAPH Software to Display Box-Whisker Plots |
Charles B. Scott |
source |
6 |
| SEUGI |
1986 |
SAS Macro "Meta" for Combining Independent Eestimators for Effect Size |
Efraim Daron |
source |
12 |
| SEUGI |
1986 |
Survival Analysis in the SAS System A Survey |
E. Meisinger,
M. Strauch,
N. Gretz |
source |
8 |
| SUGI |
1986 |
A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data |
Kenneth O. Story,
Edward F. Vonesh |
source |
6 |
| SUGI |
1986 |
A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot |
Melvin T. Alexander |
source |
4 |
| SUGI |
1986 |
Assessing Relationships Among Multivariate Data Points by Transforming Them into 2-D Curves |
Calvin D. Croy |
source |
6 |
| SUGI |
1986 |
Mixed Model Analyses with the SAS System |
Ramon C. Littell |
source |
8 |
| SUGI |
1986 |
PERSONYRS: A SAS Procedure for Person Year Analyses |
Glenn A. Augustine,
Erik J. Bergstralh,
Jon L. Kosanke,
Kenneth P. Offord |
source |
6 |
| SUGI |
1986 |
PROC RSMCB: A Procedure for Ranking, Selection, and Multiple Comparisons with the Best |
James C. Aubuchon,
Shanti S. Gupta,
Jason C. Hsu |
source |
5 |
| SEUGI |
1985 |
New Features of the SAS/ETS and SAS/OR Software in Version 5 |
John C. Brocklebank |
source |
37 |
| SEUGI |
1985 |
Statistical Enahancements to the SAS System |
Gerhard Held |
source |
20 |
| SUGI |
1985 |
An Application of PROC FUNCAT to Randomized Response Data |
Martin J. Rosenberg |
source |
6 |
| SUGI |
1985 |
Box Plots using SAS/GRAPH Software |
Ann Olmsted |
source |
7 |
| SUGI |
1985 |
Changes and Enhancements to SAS/ETSSoftware |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
12 |
| SUGI |
1985 |
PROC PECAN - A SAS Procedure |
Sivaram Kalyandrug,
Jay H. Lubin |
source |
8 |
| SUGI |
1985 |
SAS Software for Stratified Analysis |
William M. Stanish |
source |
6 |
| SUGI |
1985 |
SURVCOMP-SAS MACRO for Descriptive Survival Analysis |
Jeannette Y. Lee,
J. Michael White |
source |
8 |
| SEUGI |
1984 |
New Statistical Features in SAS |
Gerhard Held |
source |
13 |
| SUGI |
1984 |
A General Woolf-Haldane/Mantel-Haenszel Procedure for Dichotomous or Polychotomous Exposure Variables and for Any Number of Stratification/Control Variables |
Philip N. Gallagher Jr.,
William M. Haenszel |
source |
3 |
| SUGI |
1984 |
Changes and Enhancements to SAS/ETS Procedures |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
6 |
| SUGI |
1984 |
Forecasting Industrial Production in 1981-1984 |
Carlos T. Bailey |
source |
8 |
| SUGI |
1984 |
Modeling Congenital Cardiac Surgical Caseload Using the SAS/ETS Product.. |
Steven P. Davis,
Ronald C. Elkins,
Mary M. Lane,
Cynthia K. Murray |
source |
6 |
| SUGI |
1984 |
New SAS Survival Procedures |
David M. DeLong |
source |
3 |
| SUGI |
1984 |
PROC QRPT: Procedure for the Estimation of ED50, Relative Potency and Their Fiducial Limits in Quantal Response Assays |
Nguyen V. Dat,
Ronald G. Fleming,
Sue Huang |
source |
4 |
| SUGI |
1984 |
REPREG: A Repeated Measures Regression Program |
Randy L. Carter,
James T. Love |
source |
6 |
| SUGI |
1984 |
Statistics Automation: Using SAS Macros to Produce Report-Ready Statistical Analysis Tables |
Walter W. Offen |
source |
5 |
| SUGI |
1983 |
A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing |
Gary G. Koch,
Maura E. Stokes |
source |
6 |
| SUGI |
1983 |
Generalized Program for Stratification &Strata Deterioration Analysis-GPSSD.. |
Bonnie Brown Jacobson |
source |
6 |
| SUGI |
1983 |
PROC MCSTRAT |
Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord |
source |
8 |
| SUGI |
1983 |
SAS: A Decision Support System for Management |
Raymond A. Gibley,
Heidi J. Schoen |
source |
6 |
| SUGI |
1983 |
Using and InterpretingARIMA, X11, FORECAST, andSTATESPACE |
John C. Brocklebank |
source |
8 |
| SUGI |
1983 |
Using SAS to Compute Standardized Rates by the Direct Method |
Mary Anne Armstrong |
source |
6 |
| SUGI |
1982 |
A Pharmacokinetic Analysis System (PAS) |
Raymond P. Chen,
Daniel M. Wildman |
source |
|
| SUGI |
1982 |
Graphics: An Important Tool for Communication in Epidemiology |
Edward L. Frome,
James R. Gray,
Donna Hollis Hudson |
source |
7 |
| SUGI |
1982 |
Helpful Hints for Harmonious Data Analysis |
Philip Hanser |
source |
2 |
| SUGI |
1982 |
PROC TETCORR: Correlations between Categorical and Continuous Variables. |
J. Philip Miller,
Michael A. Province,
Reimut Wette |
source |
4 |
| SUGI |
1981 |
A Comparison of Several Approaches for Calculating LC50s for Binary Responses from Toxicological Experiments |
Charles M. Bundrick,
Jerry L. Oglesby |
source |
8 |
| SUGI |
1981 |
Alternative Geographical Display Strategies for Bivariate Relationships |
Michael P. Farrell,
Rodney H. Strand,
Joyce C. Waterhouse |
source |
5 |
| SUGI |
1981 |
Estimating the Parameters of the Michaelis-Menten Equation Using SAS |
Thomas P. Capizzi,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1981 |
Multiple Comparisons for Fixed Effects in Mixed Models |
Gary Regula,
Judah Rosenblatt |
source |
5 |
| SUGI |
1981 |
Plotting Confidence Bands Using PROC GLM and PROC REG |
Curtis Barton |
source |
6 |
| SUGI |
1981 |
SAS as a Pedagogical Tool in Corporate Management Training |
Nelson M. Fraiman,
Murray Mohl |
source |
4 |
| SUGI |
1981 |
SAS/GRAPH Made Easy: An Interactive Approach |
Sumi Kobayashi,
Robert F. Kramer |
source |
7 |
| SUGI |
1980 |
Examples of GLM Applications |
Ramon C. Littell |
source |
7 |
| SUGI |
1980 |
Threshold Point Models: A SAS Macro for Estimation of Parameters |
George A. Milliken,
Jeanne L. Sebaugh |
source |
6 |
| SUGI |
1979 |
Estimating the Parameters of Biological Models Using SAS |
Thomas P. Capizzi,
Karen Kral,
Robert D. Small |
source |
7 |
| SUGI |
1978 |
The LIFETEST Procedure for Analyzing Reliability Data |
Hoke S. Hill,
Frederick W. Morgan,
Richard Nelson |
source |
3 |
| SUGI |
1978 |
Unsymmetrical Parallel Line Bioassay Using SAS |
Chiao Yeh |
source |
5 |
| SUGI |
1977 |
PROCEDURE WILCOX - A SAS-76 Procedure for Estimating the Ratio of Two Random Variables |
K. Deva Kumar,
Rodney H. Strand |
source |
6 |
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