© 1985 by Biometrika Trust
Group sequential tests with censored survival data adjusting for covariates
Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute Boston, Massachusetts 02115, U.S.A
Department of Biological Research, Ontario Cancer Institute Toronto, Ontario, Canada
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.
Key Words: Asymptotic normality Counting process Covariate Group sequential test Survival analysis
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