Literature DB >> 9358333

Adaptive survival trials.

W F Rosenberger1, P Seshaiyer.   

Abstract

We present a design for adaptive survival trials, where the probability of randomization to one of two treatments is skewed away from 0.5 according to the current value of the logrank statistic. A formula mapping the logrank statistic onto [0,1] is given, which is then used to bias a coin used for randomization. Simulation evidence shows that the allocation scheme works well and offers a more ethical alternative when lifetime data are available from other patients during the recruitment period. Power is not adversely affected by the resulting unequal allocation. The usual test statistic appears to be standard normal under the proposed allocation scheme.

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Year:  1997        PMID: 9358333     DOI: 10.1080/10543409708835211

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  2 in total

1.  A Bayesian adaptive design for two-stage clinical trials with survival data.

Authors:  Uttam Bandyopadhyay; Atanu Biswas; Rahul Bhattacharya
Journal:  Lifetime Data Anal       Date:  2009-11-04       Impact factor: 1.588

2.  Outcome-adaptive randomization for a delayed outcome with a short-term predictor: imputation-based designs.

Authors:  Mi-Ok Kim; Chunyan Liu; Feifang Hu; J Jack Lee
Journal:  Stat Med       Date:  2014-05-29       Impact factor: 2.373

  2 in total

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