Literature DB >> 11427949

An improved method of evaluating drug effect in a multiple dose clinical trial.

L Shen1.   

Abstract

In drug development, finding an optimal dose is normally carried out in a phase II trial. A phase III trial will then be conducted to demonstrate that the selected dose is efficacious and safe. As choosing a dose from the phase II trial which has the highest observed response rate could overestimate the true response rate of the selected dose, the data from the phase II study cannot be simply pooled with the data from the phase III study in a final analysis. Therefore, a solution to the overestimation problem needs to be found so that the information obtained from phase II dose finding clinical trials can appropriately be combined with the data in the phase III study. In this paper, the potential overestimation in a multiple dose clinical trial is assessed and a method for correcting this bias is proposed. Simulations show that stepwise over-correction, the proposed method, is better than methods such as Bonferroni's procedure. Copyright 2001 John Wiley & Sons, Ltd.

Mesh:

Year:  2001        PMID: 11427949     DOI: 10.1002/sim.842

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


  7 in total

1.  Response adaptive randomization procedures in seamless phase II/III clinical trials.

Authors:  Hongjian Zhu; Jin Piao; J Jack Lee; Feifang Hu; Lixin Zhang
Journal:  J Biopharm Stat       Date:  2019-08-27       Impact factor: 1.051

2.  Estimation of treatment effect following a clinical trial with adaptive design.

Authors:  Xiaolong Luo; Mingyu Li; Weichung Joe Shih; Peter Ouyang
Journal:  J Biopharm Stat       Date:  2012       Impact factor: 1.051

3.  An adaptive design for identifying the dose with the best efficacy/tolerability profile with application to a crossover dose-finding study.

Authors:  Anastasia Ivanova; Ken Liu; Ellen Snyder; Duane Snavely
Journal:  Stat Med       Date:  2009-10-30       Impact factor: 2.373

4.  Conditionally unbiased estimation in phase II/III clinical trials with early stopping for futility.

Authors:  Peter K Kimani; Susan Todd; Nigel Stallard
Journal:  Stat Med       Date:  2013-02-15       Impact factor: 2.373

5.  Estimation after subpopulation selection in adaptive seamless trials.

Authors:  Peter K Kimani; Susan Todd; Nigel Stallard
Journal:  Stat Med       Date:  2015-04-22       Impact factor: 2.373

6.  Precision of maximum likelihood estimation in adaptive designs.

Authors:  Alexandra Christine Graf; Georg Gutjahr; Werner Brannath
Journal:  Stat Med       Date:  2015-10-12       Impact factor: 2.373

7.  Design and estimation in clinical trials with subpopulation selection.

Authors:  Yi-Da Chiu; Franz Koenig; Martin Posch; Thomas Jaki
Journal:  Stat Med       Date:  2018-08-07       Impact factor: 2.373

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.