Group sequential tests with censored survival data adjusting for covariates

Anastasios A. Tsiatis, Gary L. Rosner, David L. Tritchler

Research output: Contribution to journalArticle

Abstract

Group sequential tests for the analysis of survival data that compare two treatments and allow for the adjustment of other concomitant variables are discussed. These methods allow early termination of a study if large treatment differences occur. Based on simulation results, we compare the operating characteristics of these adjusted tests with the unadjusted sequentially-computed log rank test.

Original languageEnglish (US)
Pages (from-to)365-373
Number of pages9
JournalBiometrika
Volume72
Issue number2
DOIs
StatePublished - Aug 1 1985
Externally publishedYes

Keywords

  • Asymptotic normality
  • Counting process
  • Covariate
  • Group sequential test
  • Survival analysis

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Group sequential tests with censored survival data adjusting for covariates'. Together they form a unique fingerprint.

  • Cite this