Literature DB >> 8260369

A simulated sequential analysis based on data from two MRC trials.

A N Donaldson1, J Whitehead, R Stephens, D Machin.   

Abstract

The motivation for proposing sequential methods for cancer clinical trials is presented, and the methodology examined by re-analysing two completed phase III cancer trials of the Lung Cancer Working Party of the British Medical Research Council. The reanalysis proceeds as if the trials had been designed with a planned series of interim analyses governing stopping. Specifically, the triangular and double-triangular tests were applied. The sequential reanalysis gave a substantial reduction in the number of patient required, and deaths observed, for conclusions to be reached in comparison with the completed studies. In each case, the sequential analysis was stratified for baseline prognostic factors which were seen to be important at the first interim analysis.

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Year:  1993        PMID: 8260369      PMCID: PMC1968650          DOI: 10.1038/bjc.1993.499

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  5 in total

1.  Overrunning and underrunning in sequential clinical trials.

Authors:  J Whitehead
Journal:  Control Clin Trials       Date:  1992-04

2.  The impact that group sequential tests would have made on ECOG clinical trials.

Authors:  G L Rosner; A A Tsiatis
Journal:  Stat Med       Date:  1989-04       Impact factor: 2.373

3.  A multiple testing procedure for clinical trials.

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

4.  Interim analyses and stopping rules in cancer clinical trials.

Authors:  J Whitehead
Journal:  Br J Cancer       Date:  1993-12       Impact factor: 7.640

5.  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

  5 in total
  2 in total

1.  Development of negative feedback during successive growth cycles of black cherry.

Authors:  Alissa Packer; Keith Clay
Journal:  Proc Biol Sci       Date:  2004-02-07       Impact factor: 5.349

2.  Stopping rules, interim analyses and data monitoring committees.

Authors:  D Ashby; D Machin
Journal:  Br J Cancer       Date:  1993-12       Impact factor: 7.640

  2 in total

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