| PharmaSUG |
2025 |
Application of advanced GenAI tools in sample size estimation - questions and thoughts |
Igor Goldfarb,
Ella Zelichonok |
source |
12 |
| 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 |
2024 |
Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions |
Igor Goldfarb,
Vikas Sharma |
source |
26 |
| PharmaSUG |
2023 |
Smart Use of SAS Output System and SAS Macro for Statistic Test Selection |
Mengxi Wang |
source |
10 |
| SESUG |
2021 |
A SAS Macro Program to Calculate the Fragility Index |
Tamar C. Roomian |
source |
9 |
| PHUSE EU |
2020 |
An R Shiny Application: Platform-independent Tool to Produce a Statistical Manuscript with R and Validation with SAS [presentation] |
Abu Zafar Moahmmad Sami |
source
video |
23 |
| PHUSE EU |
2020 |
Preparing for FDA and PMDA Submission Simultaneously - What to Leverage, How to Deal with the Differences Efficiently [presentation] |
Jasmine Kestemont |
source
video |
22 |
| 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 |
| PHUSE US |
2020 |
Generating TFLs in R - Challenges and Successes Compared to SAS |
Amol Wayker,
Andrew Miskell |
source
presentation source |
10 |
| SESUG |
2019 |
A user-friendly and robust macro that produces a publication-ready Table 1 |
Daniel Brinton,
Marshall Chew |
source |
5 |
| SESUG |
2019 |
Using SAS to examine peripheral intravenous access using ultrasound guided |
Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess |
source |
6 |
| PharmaSUG |
2019 |
Create publication-ready variable summary table using SAS macro |
Geliang Gan |
source |
12 |
| PharmaSUG |
2019 |
Generate Customized Table in RTF Format by Using SAS Without ODS RTF - RTF Table File Demystified |
Kai Koo |
source |
13 |
| PharmaSUG |
2019 |
One Macro to Produce Descriptive Statistic Summary Tables with P-Values |
Rajaram Venkatesan,
Harinarayanan Gopichandran |
source |
14 |
| SGF |
2019 |
Thirteen Statistics Every Biostatistician Should Know |
AnnMaria De Mars |
source |
20 |
| PHUSE US |
2018 |
Adverse Event Analysis - One step forward! |
Anuja Rasal |
source
presentation source |
11 |
| PharmaSUG |
2018 |
A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening |
William Coar |
source |
8 |
| SGF |
2018 |
A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening |
Bill Coar |
source |
9 |
| SGF |
2018 |
Bricolage: My Autobiography, with SAS Procedures |
AnnMaria De Mars |
source |
13 |
| 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 |
| SGF |
2016 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| SGF |
2016 |
The Baker's Dozen: What Every Biostatistician Needs to Know |
AnnMaria De Mars |
source |
17 |
| SGF |
2015 |
Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! |
Debbie Buck |
source |
12 |
| MWSUG |
2014 |
Creating an Easy to Use, Dynamic, Flexible Summary Table Macro with P-Values in SAS for Research Studies |
Amy Gravely,
Barbara Clothier,
Sean Nugent |
|
10 |
| PharmaSUG |
2014 |
Let Chi-Square Pass Decision to Fisher's Programmatically |
Linga Reddy Baddam,
Sudarshan Reddy Shabadu |
source |
5 |
| PHUSE EU |
2013 |
Crafting Clinical Reports with Stone-Age Tools [presentation] |
David J. Garbutt,
Magnus Mengelbier |
source |
15 |
| PharmaSUG |
2012 |
EXACTing a Price: Compute Fisher-s Exact Test P-values Only When Needed |
Robert D. Abelson |
source |
6 |
| PharmaSUG |
2011 |
Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS |
Dongsun Cao,
Xiaomin He |
source |
12 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| WUSS |
2010 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| PharmaSUG |
2010 |
Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS |
Philip J. d'Almada,
Laura Aberle |
|
9 |
| SGF |
2010 |
Automatically Run Fisher's Exact Test When the Chi-square Test Might Not Be Valid |
Wei Xu |
source |
4 |
| PharmaSUG |
2009 |
ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting |
Cheng Jun Tian,
Denis Michel |
|
9 |
| PharmaSUG |
2006 |
%SummaryTable: A SAS Macro to Produce a Summary Table in Clinical Trial |
Yinmei Zhou,
St. Jude Children's |
|
7 |
| PharmaSUG |
2004 |
PROC POWER: V9.1 |
Deborah J. Bauer |
|
6 |
| SUGI |
2004 |
PROC POWER in SAS 9.1 |
Deborah J. Bauer,
Russell M. Lavery |
source |
7 |
| SUGI |
2003 |
P-Value Generation Simplified with a Single SAS Macro |
Christopher S. Hord,
Peter J. Anderson |
source |
3 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| SUGI |
2002 |
Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application |
Charles M. Vaughan,
Serge Guzy |
source |
6 |
| PharmaSUG |
2001 |
P-Value Calculation Made Easy with the SAS Call Execute Routine |
Huanhong Xia |
|
4 |
| NESUG |
2000 |
Think Outside the Box: Analysis of Categorical Data |
Margaret Ann Goetz |
|
5 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| WUSS |
1998 |
Analysis of the American National Election Survey for 1996 using SAS Multivariate Statistical Techniques with Emphasis on Chi-Square |
Kamal Shoukry |
source |
4 |
| NESUG |
1997 |
FREQ-OUT: An Applied Presentation of the Options and Output of the FREQ Procedure |
Pamela Landsman |
|
6 |
| PharmaSUG |
1997 |
Adverse Events Summary Tables in Clinical Trials: Incorporating P-values Using SAS Macros and SAS/AF |
Incorporating P-values |
|
10 |
| SUGI |
1997 |
Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros |
Jun Zuo,
Carl R. Haske |
source |
6 |
| SCSUG |
1996 |
Fishing for Exactness |
Ted Pedersen |
|
13 |
| SUGI |
1996 |
A Statistical Analysis Macro Library in SAS Software |
Vivienne Ward,
Carl R. Haske |
source |
5 |
| MWSUG |
1995 |
A Statistical Analysis Macro Library in SAS |
Carl R. Haske,
Vivienne Ward |
|
5 |
| NESUG |
1995 |
Logical Analysis of Data (LAD): An Implementation In SAS Language |
Endre Boros,
Peter Hammer,
Victor Kamensky,
Alex Krogan,
Ilya Muchnik |
|
6 |
| SESUG |
1994 |
SrATISIlCS |
Colored Candles |
|
5 |
| SUGI |
1994 |
Colored Candies and PROC MACONTROL: A Sweet Way to Produce Chi-Square Control Charts Part 2: Statistical Presentation |
Melvin T. Alexander,
Sherry Joyce King |
source |
6 |
| NESUG |
1993 |
A Comparison of the Size and Power of Several Tests for Association in 2x3 Contingency Tables with Ordered Categories |
Robert Lehr |
|
7 |
| NESUG |
1993 |
Interfacing StatXact and SAS for Exact Tests |
Cyrus R. Mehta,
David C. Schlotzhauer |
|
9 |
| 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 |
| NESUG |
1990 |
Exact Nonparametric Inference: Theory, Applciations and Software |
Cyrus R. Mehta |
|
16 |
| SEUGI |
1990 |
Stratified Random Sampling from Finite Distribution for Continous Variables |
Karl Bousek |
source |
13 |
| SEUGI |
1988 |
Automatic Analysis of Clinical Trials |
J. C. Peyrieux |
source |
6 |
| SUGI |
1983 |
Randomization Tests |
Robert M. Hamer |
source |
9 |
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