A group sequential test for survival trials: an alternative to rank-based procedures.
A method of interim monitoring is described for survival trials in which the proportional hazards assumption may not hold. This method extends the test statistics based on the cumulative weighted difference in the Kaplan-Meier estimates (Pepe and Fleming, 1989, Biometrics 45, 497-507) to the sequential setting. Therefore, it provides a useful alternative to the group sequential linear rank tests. With an appropriate weight function, the test statistic itself provides an estimator for the cumulative weighted difference in survival probabilities, which is an interpretable measure for the treatment difference, especially when the proportional hazards model fails. The method is illustrated based on the design of a real trial. The operating characteristics are studied through a small simulation.
Li
Z
Z
Department of Biometrics and Statistical Sciences, The Procter and Gamble Company, Cincinnati, OH 45242, USA. li.z@pg.com
D001699:Biometry; D002316:Cardiotonic Agents / Q000627:therapeutic use; D006333:Heart Failure / Q000188:drug therapy / Q000401:mortality; D006801:Humans; D020105:Milrinone / Q000627:therapeutic use; D016016:Proportional Hazards Models; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D016019:Survival Analysis
D002316:Cardiotonic Agents; D020105:Milrinone