Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS)
Source category: Advanced Statistical Methods
Author collections: Lihui Deng · Kylie Fan
THE COMMUNITY ARCHIVE
Statistical Methodology Papers and PresentationsPage 2
Explore conference discussions of model fitting, study design and statistical inference. Compare the assumptions and target quantities behind methods before adopting implementation examples in a new analysis.
216 papers · Showing 21–40
Application of advanced GenAI tools in sample size estimation – questions and thoughts
Source category: Artificial Intelligence and Machine Learning
Author collections: Igor Goldfarb · Ella Zelichonok
Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments
Source category: Analytics & Statistics (AS)
Author collections: Shrutimita Pokhariyal
Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS
Source category: Statistics and Analytics
Contributions to CAMIS PHUSE Project in 2025: Tobit Regression, Reference-based Multiple Imputation and Tipping Point Analysis
Source category: Analytics & Statistics (AS)
Author collections: Yannick Vandendijck
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM
Source category: Beyond the Basics
Author collections: David Corliss
Logistic Regression Odyssey on a Small Sample Due to Rare Cancer
Source category: Analysis & Advanced Analytics
Author collections: Brandy Sinco
Multiple Logistic Regression Using SAS and SPSS
Source category: Statistics, Modeling, and Analytics (SMA)
File inside source ZIP: 121-Amita-Patil-supporting-document.pdf
Author collections: Amita Patil
PROC BGLIMM: The Smooth Transition to Bayesian Analysis
Source category: Analysis & Advanced Analytics
Author collections: Danny Modlin
PROC BGLIMM: The Smooth Transition to Bayesian Analysis
Source category: Statistics, Modeling, and Analytics (SMA)
File inside source ZIP: 120-Danny-Modlin-supporting-document.pdf
Author collections: Danny Modlin
PROC BGLIMM: The Smooth Transition to Bayesian Analysis
Source category: AI, Analytics, and Statistics
Author collections: Danny Modlin
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS
Source category: Statistics and Analytics
Real-World Examples of eCOA Compliance and Audit Trail Review Using Advanced Statistical Methodology
Source category: Analytics Risk-based Monitoring
Author collections: Jamie O'Neill
Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis
Source category: Analytics & Statistics
Simulating Optimal Sample Sizes for Canine Jaws Using SAS®
Source category: Statistics and Analytics
Author collections: Chary Akmyradov · Lida Gharibvand
Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words
Source category: Real World Evidence and Big Data
Author collections: Iryna Kotenko
Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges
Source category: Analytics & Statistics
Bayesian Additive Regression Trees for Counterfactual Prediction and Estimation
Source category: Statistics and Analytics
Author collections: Michael Lamm
Bayesian Hierarchical Models with the Power Prior Using PROC BGLIMM
Source category: Statistics and Analytics
Author collections: Fang Chen
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research
Source category: Statistics and Analytics
Author collections: Vadym Kalinichenko