| WUSS |
2026 |
Stress Testing Your Findings: E-Values and Quantitative Bias Analysis in SAS |
Mehrnaz Siavoshi |
source |
13 |
| PHUSE US |
2026 |
An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making |
Jinquan Wu |
source presentation source |
11 |
| 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 EU |
2025 |
Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach |
Vasiliki Economou, Dimitrios Kounelis |
source poster source |
17 |
| PharmaSUG CN |
2024 |
Application of I&I Late Phase in Programming |
Renxiang Wang |
source |
15 |
| PharmaSUG |
2023 |
Guidelines for the Statistical Analysis in German Dossier Submissions |
Meiling Gao, Xi Qian, Hui Mao |
source |
8 |
| PHUSE US |
2022 |
Volcano Plot for Adverse Event Analysis in R [presentation] |
Kamleshkumar Patel |
source video |
15 |
| PHUSE US |
2021 |
Table-based Data Visualizations Using R [presentation] |
Matthew Kumar |
source video |
26 |
| PharmaSUG |
2021 |
Dynamic macro using the convergence dataset to generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC/PT using Genmod procedure |
Jagadish Katam |
source |
20 |
| PharmaSUG |
2021 |
Using SAS for Forest Plots in AMNOG Meta-Analysis Reporting |
Jian-An Lu, Jinwei Yuan |
source |
10 |
| PHUSE EU |
2020 |
Re-scaling Weights to Effective Sample Size [presentation] |
Andrea Parodi, Dimitri Petratchenko |
source video |
25 |
| SGF |
2020 |
Fitting Statistical Models with PROC MCMC |
Mark Ghamsary |
source |
26 |
| SGF |
2020 |
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
23 |
| SGF |
2020 |
Time After Time: D-I-D and ITS Models in SAS |
Margaret Warton |
source |
21 |
| PHUSE EU |
2019 |
Incidence Density Sampling for Nested Case-control of Study Designs |
Rachel Tham, Quratul Ann |
source presentation source |
12 |
| SGF |
2019 |
Thirteen Statistics Every Biostatistician Should Know |
AnnMaria De Mars |
source |
20 |
| PHUSE EU |
2018 |
Adverse Event Data - gRaphically |
Lina Rajput, Prajakta Chitale |
source presentation source |
10 |
| PHUSE EU |
2018 |
Forest Plots in Survival Subgroup Analyses |
Michael Brockmann, Julia Benzing |
source presentation source |
11 |
| PHUSE EU |
2018 |
Safety Signal Detection Visualisations Using Spotfire Including R |
Michaela Mertes |
source presentation source |
9 |
| WUSS |
2018 |
Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS |
Margaret Warton, Melissa Parker |
source |
17 |
| PHUSE US |
2018 |
Data Visualization for Data Monitoring Committees for Clinical Trials [presentation] |
Adam Hamm |
source |
14 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| 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 |
The %FRED Macro-Finding Risk in Education Data |
Fred Edora |
source |
6 |
| PharmaSUG |
2017 |
Multinomial Logistic Regression Models With Sas Proc Surveylogistic |
Marina Komaroff |
source |
7 |
| PharmaSUG |
2016 |
Preparing the Data to Ensure Correct Calculation of Relative Risk |
Ravi Kankipati, Abhilash Chimbirithy |
source |
13 |
| SGF |
2016 |
The Baker's Dozen: What Every Biostatistician Needs to Know |
AnnMaria De Mars |
source |
17 |
| WUSS |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller, Maribeth H. Johnson |
source |
12 |
| WUSS |
2015 |
Yes, PROC FREQ does that! |
AnnMaria De Mars |
source |
15 |
| SGF |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller, Maribeth H. Johnson |
source |
12 |
| SGF |
2015 |
Equivalence and Noninferiority Testing Using SAS/STAT Software |
John M. Castelloe, Donna Watts |
source |
23 |
| MWSUG |
2014 |
Up Your Game with Graph Template Language Layouts |
Sanjay N. Matange |
|
20 |
| PharmaSUG CN |
2014 |
Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs |
Halimu Haridona |
|
7 |
| WUSS |
2014 |
Practice Pattern Instrumental Variables for Comparative Effectiveness |
Carol Conell, Alexander C. Flint |
source |
15 |
| PharmaSUG |
2014 |
Up Your Game with Graph Template Language Layouts |
Sanjay N. Matange |
source |
20 |
| 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 |
Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs |
Justin Jia, Amanda Lin |
source |
12 |
| SGF |
2014 |
Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 |
Chan Jin, Jennifer White, Rhonda Colombo, Stephanie Baer, Usman Afza, M. Kheda, Lu Huber, Puja Chebrolu, N. Stanley Nahman, Kristina Kintziger |
source |
4 |
| SGF |
2014 |
Up Your Game with Graph Template Language Layouts |
Sanjay N. Matange |
source |
20 |
| WUSS |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
source |
19 |
| WUSS |
2013 |
Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies |
Kechen Zhao |
source |
14 |
| SESUG |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller, Maribeth H. Johnson |
source |
12 |
| 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 |
| PharmaSUG |
2013 |
Implementation of Breast Cancer Risk Assessment Tool using SAS |
Yuqin Li, Lihua Chen, Xiaohai Wan, Alan Chiang |
source |
8 |
| SGF |
2013 |
Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP |
Richard C. Zink |
source |
13 |
| SGF |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller, Maribeth H. Johnson |
source |
12 |
| NESUG |
2012 |
A SAS Program to Construct Simultaneous Confidence Intervals of Relative Risk for Multiple Adverse Events |
Xiaoli Lu |
|
6 |
| SCSUG |
2012 |
Net Present Value Model Approach |
Jingjing Qu |
source |
7 |
| WUSS |
2012 |
PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table |
Wuchen Zhao |
source |
11 |
| SGF |
2012 |
Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer |
Manojkumar B Agravat |
source |
40 |
| SCSUG |
2011 |
PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? |
Hemalkumar Mehta |
source |
14 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| WUSS |
2011 |
Fitting latency models in epidemiological studies |
Bryan Langholz |
source |
7 |
| PHUSE EU |
2011 |
JMP Clinical for the Expl oration of Legacy studies |
Robert Eric Huisden |
source poster source |
4 |
| MWSUG |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
|
7 |
| SGF |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
source |
7 |
| SGF |
2011 |
MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models |
Ken Kleinman |
source |
5 |
| SGF |
2011 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| NESUG |
2010 |
An efficient way to create graphs in SAS 9.2: Utilizing SG procedures and GTL |
Yunzhi Ling |
|
12 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko, Michael O'Connell |
source poster source |
12 |
| MWSUG |
2010 |
Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default |
Valentin Todorov, Douglas Thompson |
|
11 |
| WUSS |
2008 |
Demystifying Popular SAS Procedures. |
Lisa Smith |
source |
17 |
| PHUSE EU |
2008 |
Drug Safety Reporting - now and then |
David J. Garbutt |
source |
23 |
| PHUSE EU |
2008 |
Statistically guided review of safety data in clinical trials |
Michael O'Connell, Harry Southworth |
source |
12 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| PharmaSUG |
2008 |
Annotate facilitates data-driven graphs |
Meera G. Kumar, Jeffrey Cortez |
|
5 |
| SGF |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Anthony B. An, Pushpal K. Mukhopadhyay, Randall D. Tobias, Donna L. Watts |
source |
16 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith, Besa Smith |
source |
22 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack, Dawn Woodard |
source |
11 |
| PharmaSUG |
2007 |
Clinical Adverse Events Data Analysis and Visualization |
Shi-Tao Yeh |
|
12 |
| SGF |
2007 |
A SAS Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding |
Julius Ta, Myduc L. Atashili |
source |
10 |
| SUGI |
2006 |
Using SAS to Investigate Effect Modification |
Peter H. Van Ness, Heather G. Allore |
source |
10 |
| WUSS |
2005 |
Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG |
Tyler C. Smith, Besa Smith |
source |
18 |
| SUGI |
2005 |
Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS Output Delivery System (ODS) |
Stuart D. Long |
source |
17 |
| 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 |
| WUSS |
2004 |
Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis |
Tyler C. Smith, Besa Smith |
source |
14 |
| 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 |
| WUSS |
2003 |
Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios |
David J. Pasta, Miriam G. Cisternas |
source |
4 |
| 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 |
| SUGI |
2003 |
Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data |
Tyler C. Smith, Besa Smith, Margaret A. K. Ryan |
source |
8 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| PharmaSUG |
2002 |
Recovering Lost Lines: Using the Whole Page with Proc Report |
Richard R. Allen |
|
6 |
| WUSS |
2001 |
A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling |
Tyler C. Smith, Besa Smith, Margaret A. K. Ryan |
source |
8 |
| WUSS |
2001 |
Computation of expected risk rations in a longitudinal study of sexually transmitted diseases in per-contact risk of HIV using SAS/IML |
Jesse Albert Canchola, Sally Blower |
source |
5 |
| SUGI |
2001 |
Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS |
Tyler C. Smith, Besa Smith |
source |
9 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SEUGI |
2000 |
SAS Software for the Analysis of Epidemiologic Data [presentation] |
Hans-Peter Altenburg |
source |
39 |
| SUGI |
2000 |
An Application for the Analysis and Visualization of Disease Incidence Data |
Paul Nicholson, Deborah Allon, Estelle A. Gilman |
source |
9 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SEUGI |
1999 |
An application for the analysis and visualisation of disease incidence data |
Deborah Allon, Estelle Gilman, Paul Nicholson |
source |
9 |
| SEUGI |
1998 |
Survival analysis models in health care and their use for predictions of mortality |
Jifi Vondracek, Keith Binks, Krystof Eben |
source |
6 |
| SUGI |
1998 |
A SAS Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions |
Paul R. Coe |
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 |
| 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 |
An Introduction to Survival Analysis |
Linda M. Quinn |
|
12 |
| SEUGI |
1997 |
Analysing the incidence of Leukaemia in England and Wales |
David Rowland, Deborah Allon, Paul Nicholson, Richard McNally |
source |
9 |
| SESUG |
1996 |
sl4tistia |
Dale Preston |
|
7 |
| MWSUG |
1996 |
A Set of SAS Macros for Producing Statistical Reports |
Greg A. Grandits |
|
10 |
| SEUGI |
1996 |
Graphical aspect of meta-analysis using SAS/GRAPH software and its specific annotate |
Angelo Tinazzi, Fabrizio Carinci, Valter Torri |
source |
15 |
| SEUGI |
1995 |
A Survival Analysis on Critical Components of Nuclear Power Plants |
Valerie Durbec |
source |
9 |
| SEUGI |
1995 |
Model Building for the Cox Proportional Hazards Model with the SAS System |
Richard Vonk |
source |
12 |
| SUGI |
1995 |
A SAS Macro for Evaluation of Survival Time Data Involving Treatment Conversion Using the Mantel-Byar Method |
Eric T. Sun, Ching-Chang Hwang |
source |
6 |
| SEUGI |
1994 |
Variants of the Attributable Risk in a Multi-factorial Situation Theory and Computational Realisation |
Olaf Gefeller |
source |
11 |
| SUGI |
1994 |
Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients |
Regina Louie, Alex Yaroshinsky |
source |
5 |
| NESUG |
1993 |
A Macro for Computation of Incidence Density Ratios |
Malla R. Rao, John Clemens |
|
2 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SUGI |
1992 |
Do We Always Need Clinical Stratification in Multicenter Clinical Trials? Results of a Simulation Study |
Roland Brandmaier, U. Aydemir, H. Ansari, J. Hasford |
source |
6 |
| NESUG |
1991 |
A SAS/IML Routine to Calculate SPMR Relative Risk Confidence Bounds |
Jimmy Thomas Efird |
|
2 |
| SEUGI |
1991 |
Attributable Risk Estimation Using SAS/STAT Software |
Olaf Gefellar |
source |
8 |
| SEUGI |
1989 |
Metaanalysis Objectives And Methods |
Jean-Claude Peyrieux |
source |
6 |
| SUGI |
1988 |
A SAS Program for Selecting Subjects for a Case-Control Study |
Gerald A. Kientzel, Terry L. Leet |
source |
2 |
| SEUGI |
1985 |
Statistical Enahancements to the SAS System |
Gerhard Held |
source |
20 |
| SUGI |
1985 |
Comparison of Multivariate Regression Analysis between Logistic Model and the Least Square Model Using SAS Software |
Jane R. Bratz, J.S. Kim, George K. Tokuhata |
source |
4 |
| SUGI |
1985 |
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 |
1983 |
PROC MCSTRAT |
Susanne L. Daood, James M. Naessens, Kenneth P. Offord |
source |
8 |
| SUGI |
1980 |
An Overview of Survival Analysis and SAS |
Irving K. Hwang |
source |
|
| SUGI |
1980 |
Automated Analysis of Case-Control Data Using the SAS System |
Elizabeth J. Martin, Linda Williams Pickle |
source |
6 |