Customize and Beautify Your Kaplan-Meier Curves in Simple Steps
Source category: Data Visualization and Reporting
Author collections: Lili Li
THE COMMUNITY ARCHIVE
Survival Analysis Papers and PresentationsPage 3
Time-to-event analyses require explicit decisions about endpoints, censoring and competing events. This collection brings together SAS conference discussions of survival models, Kaplan–Meier estimates and the data preparation supporting them.
129 papers · Showing 41–60
Evaluating the Predictive Accuracy of Survival Models with PROC PHREG
Source category: Analytics & Statistics
Author collections: Lotte Jacobs · Roxane Debrus
Overview of Bayesian Approaches in Survival Analysis Using SAS
Source category: Analytics & Statistics
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions
Source category: Analytics and Statistics
Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers
Source category: Advanced Programming
Author collections: Yun (Julie) Zhuo
%MVMODELS: a Macro for Survival and Logistic Analysis
Source category: Advanced Programming
Author collections: Jeffrey Meyers
Assessing Non-inferiority and Equivalence from Survival Data
Source category: Analytics, Big Data & Statistics
Author collections: Parveen Kumar
CDISC’s ADTTE Domain: Time-to-event Analysis from a Programmer’s Point of View
Source category: Poster Presentation
Author collections: Frieder Wolff · Vitali Gering
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards
Source category: Conference paper
Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro
Source category: Conference paper
Recent Developments in Survival Analysis with SAS® Software
Source category: Conference paper
Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate
Source category: Statistics and Analytics
Author collections: Giulia Tonini · Simona Scartoni
Surviving the Cox Proportional Hazards Model with the POWER Procedure
Source category: Conference paper
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes
Source category: Conference paper
A SAS® Macro to Provide Survival Functions along with Cox Regression Model Efficiently
Source category: Programming Techniques
Author collections: Chia-Ling Ally Wu
Analyzing Restricted Mean Survival Time Using SAS/STAT
Source category: Conference presentation
Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations
Source category: Statistics and Data Analysis
File inside source ZIP: Statistics_and_Data_Analysis/SESUG2019_Paper-160_Final_PDF.pdf
Let’s Flip: An Approach to Understand Median Follow-up by the Reverse Kaplan-Meier Estimator from a Programmer’s Perspective
Source category: Statistics and Analytics
Author collections: Nikita Sathish · Chia-Ling Ally Wu
ML03 Symbolic Regression: Survival of the Best Fit
Source category: Machine Learning
Author collections: Hector Leitch
On customizing survival curves in SAS®
Source category: Reporting and Data Visualization
Author collections: Michael Williams