Sample size calculation for rank tests comparing K survival distributions.

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Sin-Ho Jung, Siu Hui

Author Information

Sin-Ho Jung: Duke University, Department of Biostatistics and Bioinformatics, ACOSOG, DUMC Box 3627, Durham, NC 27710, USA.

PMID: 12471945 DOI: 10.1023/a:1020518905233

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.

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Algorithms

Humans

Models, Statistical

Randomized Controlled Trials as Topic

Sampling Studies

Survival Analysis

United States

Comparative Study Journal Article

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