Literature DB >> 11113940

Group sequential designs for cure rate models with early stopping in favour of the null hypothesis.

M V Patricia Bernardo 1, J G Ibrahim.   

Abstract

Ewell and Ibrahim derived the large sample distribution of the logrank statistic under general local alternatives. Their asymptotic results enable us to extend several group sequential designs which allow for early stopping in favour of the null hypothesis to the setting in which the cure rate model is appropriate. In particular, we derive stopping rules for the cure rate model using conditional power, predictive power and repeated confidence intervals methods. We illustrate the methods proposed using a hypothetical phase III clinical trial which is typical for melanoma studies. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 11113940     DOI: 10.1002/1097-0258(20001130)19:22<3023::aid-sim638>3.0.co;2-x

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  Bayesian design of a survival trial with a cured fraction using historical data.

Authors:  Matthew A Psioda; Joseph G Ibrahim
Journal:  Stat Med       Date:  2018-06-25       Impact factor: 2.373

  1 in total

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