Literature DB >> 35125974

Group sequential clinical trial designs for normally distributed outcome variables.

Michael J Grayling1, James M S Wason1, Adrian P Mander1.   

Abstract

In a group sequential clinical trial, accumulated data are analyzed at numerous time points to allow early decisions about a hypothesis of interest. These designs have historically been recommended for their ethical, administrative, and economic benefits. In this article, we first discuss a collection of new commands for computing the stopping boundaries and required group size of various classical group sequential designs, assuming a normally distributed outcome variable. Then, we demonstrate how the performance of several designs can be compared graphically.

Entities:  

Keywords:  clinical trial design; doubletriangular; group sequential; haybittlepeto; innerwedge; powerfamily; st0529; triangular; wangtsiatis

Year:  2018        PMID: 35125974      PMCID: PMC7612318          DOI: 10.1177/1536867X1801800208

Source DB:  PubMed          Journal:  Stata J        ISSN: 1536-867X            Impact factor:   2.637


  8 in total

1.  A simple two-stage design for quantitative responses with application to a study in diabetic neuropathic pain.

Authors:  John Whitehead; Elsa Valdés-Márquez; Agneta Lissmats
Journal:  Pharm Stat       Date:  2009 Apr-Jun       Impact factor: 1.894

2.  Optimal design of multi-arm multi-stage trials.

Authors:  James M S Wason; Thomas Jaki
Journal:  Stat Med       Date:  2012-07-23       Impact factor: 2.373

3.  Approximately optimal one-parameter boundaries for group sequential trials.

Authors:  S K Wang; A A Tsiatis
Journal:  Biometrics       Date:  1987-03       Impact factor: 2.571

4.  Group sequential clinical trials with triangular continuation regions.

Authors:  J Whitehead; I Stratton
Journal:  Biometrics       Date:  1983-03       Impact factor: 2.571

5.  A multiple testing procedure for clinical trials.

Authors:  P C O'Brien; T R Fleming
Journal:  Biometrics       Date:  1979-09       Impact factor: 2.571

6.  Repeated assessment of results in clinical trials of cancer treatment.

Authors:  J L Haybittle
Journal:  Br J Radiol       Date:  1971-10       Impact factor: 3.039

7.  Optimal multistage designs for randomised clinical trials with continuous outcomes.

Authors:  James M S Wason; Adrian P Mander; Simon G Thompson
Journal:  Stat Med       Date:  2011-12-05       Impact factor: 2.373

8.  Design and analysis of randomized clinical trials requiring prolonged observation of each patient. I. Introduction and design.

Authors:  R Peto; M C Pike; P Armitage; N E Breslow; D R Cox; S V Howard; N Mantel; K McPherson; J Peto; P G Smith
Journal:  Br J Cancer       Date:  1976-12       Impact factor: 7.640

  8 in total

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