| 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 |
| PharmaSUG |
2025 |
Application of advanced GenAI tools in sample size estimation - questions and thoughts |
Igor Goldfarb, Ella Zelichonok |
source |
12 |
| PharmaSUG |
2025 |
The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions |
Lida Gharibvand |
source |
5 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck, Suhas Giriraj |
source presentation source |
17 |
| PharmaSUG CN |
2024 |
Sample size calculation for comparing two groups of count data in clinical trials |
Lijuan Lin |
source |
8 |
| PharmaSUG |
2024 |
Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions |
Igor Goldfarb, Vikas Sharma |
source |
26 |
| PHUSE EU |
2023 |
Optimizing Clinical Trial Design with Real-Time Sample Size Calculation and Enrollment Projection: A Shiny Dashboard Solution |
Dony Sabu |
source presentation source |
5 |
| PHUSE EU |
2023 |
Size matters - sample size calculation with SAS and R |
Fenja Seither |
source presentation source |
4 |
| PHUSE EU |
2022 |
Inference from weighted subjects |
Andrea Parodi |
source poster source |
4 |
| PharmaSUG |
2022 |
Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions |
Igor Goldfarb, Ritu Karwal, Xiaohua Shu |
source |
14 |
| SGF |
2020 |
Sample Size Calculations Using SAS, R, and nQuery Software |
Jenna Cody |
source |
19 |
| PHUSE EU |
2018 |
Sample Size: A Couple More Hints to Handle it Right Using SAS and R |
Andrii Artemchuk |
source presentation source |
11 |
| MWSUG |
2018 |
A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption |
Brian Mosier, John Keighley, Milind Phadnis |
|
7 |
| 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 |
Interim Survival Analysis Across 3 Platforms |
Venita DePuy |
source presentation source |
22 |
| SESUG |
2016 |
Surviving the Interim: Insights Into Interim Survival Analyses |
Venita DePuy |
source |
31 |
| PharmaSUG |
2014 |
Defining Non-Inferiority Margins for Skin Adhesion Studies |
Marina Komaroff, Sailaja Bhaskar |
source |
12 |
| WUSS |
2012 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| WUSS |
2012 |
Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower |
Chii Dean |
source |
10 |
| PharmaSUG |
2012 |
Application of Meta-Analysis in Clinical Trials |
Marina Komaroff |
source |
7 |
| WUSS |
2011 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| SESUG |
2010 |
Sample Size Calculation to Evaluate Mediation Analysis |
Rajendra Kadel |
source |
12 |
| PharmaSUG |
2008 |
Sample Size Estimation for Trials of Recurrent Events |
Kuolung Hu |
|
8 |
| PharmaSUG |
2008 |
Sample Size Estimation Through Simulation of a Random Coefficient Model by Using SAS |
Junliang Chen, Shannon Stock, Chunqin Deng |
|
8 |
| SGF |
2007 |
Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs |
St. Clare Groulx, Adrienne Moon, Kyung-hee Chung |
source |
9 |
| PHUSE EU |
2006 |
(Sample) Size DOES Matter |
John Salter |
source |
10 |
| PharmaSUG |
2006 |
Sample Size Calculation and Timeline Estimate for Progression-Free Survival |
Chung-Kuei Chang |
|
10 |
| PharmaSUG |
2004 |
PROC POWER: V9.1 |
Deborah J. Bauer |
|
6 |
| PharmaSUG |
2004 |
Statistical Simulations for Sample Size Calculation with PROC IML |
Izabella Peszek |
|
8 |
| SUGI |
2004 |
PROC POWER in SAS 9.1 |
Deborah J. Bauer, Russell M. Lavery |
source |
7 |
| SUGI |
1987 |
Full-screen Menu-driven Sample Size Programs Using SAS/AF Software |
J.A. Bebar, Phil Cirulli, L. A. Johnson |
source |
5 |