Related Experiment Video
Updated: Sep 28, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Sample size calculation for rank tests comparing K survival distributions
1Duke University, Department of Biostatistics and Bioinformatics, ACOSOG, DUMC Box 3627, Durham, NC 27710, USA.
Abstract:
Rank tests, such as logrank or Wilcoxon rank sum tests, have been popularly used to compare survival distributions of two or more groups in the presence of right censoring. However, there has been little research on sample size calculation methods for rank tests to compare more than two groups. An existing method is based on a crude approximation, which tends to underestimate sample size, i.e., the calculated sample size has lower power than projected. In this paper we propose an asymptotically correct method and an approximate method for sample size calculation. The proposed methods are compared to other methods through simulation studies.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
The Mantel-Cox Log-Rank Test
Friedman Two-way Analysis of Variance by Ranks
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Wilcoxon Rank-Sum Test
Kaplan-Meier Approach

