Literature DB >> 15568188

Sample size calculations for comparative clinical trials with over-dispersed Poisson process data.

Shigeyuki Matsui1.   

Abstract

This paper develops a new formula for sample size calculations for comparative clinical trials with Poisson or over-dispersed Poisson process data. The criteria for sample size calculations is developed on the basis of asymptotic approximations for a two-sample non-parametric test to compare the empirical event rate function between treatment groups. This formula can accommodate time heterogeneity, inter-patient heterogeneity in event rate, and also, time-varying treatment effects. An application of the formula to a trial for chronic granulomatous disease is provided. Copyright 2004 John Wiley & Sons, Ltd.

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Year:  2005        PMID: 15568188     DOI: 10.1002/sim.2011

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


  4 in total

1.  A joint model for recurrent events and a semi-competing risk in the presence of multi-level clustering.

Authors:  Tae Hyun Jung; Peter Peduzzi; Heather Allore; Tassos C Kyriakides; Denise Esserman
Journal:  Stat Methods Med Res       Date:  2018-07-31       Impact factor: 3.021

2.  Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome.

Authors:  Ming-Hui Chen; Joseph G Ibrahim; Donglin Zeng; Kuolung Hu; Catherine Jia
Journal:  Biometrics       Date:  2014-07-16       Impact factor: 2.571

3.  Insights on the robust variance estimator under recurrent-events model.

Authors:  Hussein R Al-Khalidi; Yili Hong; Thomas R Fleming; Terry M Therneau
Journal:  Biometrics       Date:  2011-03-18       Impact factor: 2.571

4.  Robust covariate-adjusted log-rank statistics and corresponding sample size formula for recurrent events data.

Authors:  Rui Song; Michael R Kosorok; Jianwen Cai
Journal:  Biometrics       Date:  2007-12-05       Impact factor: 1.701

  4 in total

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