Group-sequential logrank methods for trial designs using bivariate non-competing event-time outcomes

Publication Description
We discuss the multivariate (2L-variate) correlation structure and the asymptotic distribution for the group-sequential weighted logrank statistics formulated when monitoring two correlated event-time outcomes in clinical trials. The asymptotic distribution and the variance-covariance for the 2L-variate weighted logrank statistic are derived as available in various group-sequential trial designs. These methods are used to determine a group-sequential testing procedure based on calendar times or information fractions. We apply the theoretical results to a group-sequential method for monitoring a clinical trial with early stopping for efficacy when the trial is designed to evaluate the joint effect on two correlated event-time outcomes. We illustrate the method with application to a clinical trial and describe how to calculate the required sample sizes and numbers of events.

Primary Author
Sugimoto,Tomoyuki
Hamasaki,Toshimitsu
Evans,Scott R.
Halabi,Susan

Volume
26

Issue
2

Start Page
266

Other Pages
291

Publisher
Springer Nature B.V

URL
https://www.ncbi.nlm.nih.gov/pubmed/30980317

PMID
30980317



Reference Type
Journal Article

Periodical Full
Lifetime data analysis

Publication Year
2020

Publication Date
Apr

Place of Publication
United States

ISSN/ISBN
1380-7870

Document Object Index
10.1007/s10985-019-09470-4