✦ LIBER ✦

Sample size determination in complex clinical trials comparing more than two groups for survival endpoints

✍ Scribed by Sang Ahnn; Stewart J. Anderson

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 101 KB
Volume: 17
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(19981115)17:21<2525::aid-sim936>3.0.co;2-e

No coin nor oath required. For personal study only.

✦ Synopsis

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.