Premium
Sample size determination in complex clinical trials comparing more than two groups for survival endpoints
Author(s) -
Ahnn Sang,
Anderson Stewart J.
Publication year - 1998
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19981115)17:21<2525::aid-sim936>3.0.co;2-e
Subject(s) - sample size determination , statistics , log rank test , mathematics , sample (material) , survival analysis , physics , thermodynamics
This paper presents a sample size formula for testing the equality of k (⩾2) survival distributions using the Tarone–Ware class of test statistics in the presence of non‐proportional hazards, time dependent losses, non‐compliance and drop‐in. This method extends the derivation by Lakatos of a sample size formula for comparing two survival distributions. A sample size formula is also presented for the stratified logrank test. We describe how one can utilize these generalized formulae in calculating sample sizes and assessing power in complex multi‐arm clinical trials. © 1998 John Wiley & Sons, Ltd.