Literature DB >> 3787000

Sample sizes for phase II and phase III clinical trials: an integrated approach.

J Whitehead.   

Abstract

In this paper the following problem of clinical research is explored. Several potential new treatments are available for use against a certain disease. These are evaluated in a series of pilot studies which will constitute phase II clinical trials. The most promising will then be compared with a standard treatment in a phase III trial. Of interest will be the number of patients needed for the complete research programme, the proportions of these that should be involved in each phase, and the number of treatments which should be tried. Optimal strategies are found which maximize the probability that the overall programme identifies a treatment which is significantly better than the standard.

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Year:  1986        PMID: 3787000     DOI: 10.1002/sim.4780050510

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


  10 in total

Review 1.  Stopping rules for phase II studies.

Authors:  N Stallard; J Whitehead; S Todd; A Whitehead
Journal:  Br J Clin Pharmacol       Date:  2001-06       Impact factor: 4.335

Review 2.  A review of phase 2-3 clinical trial designs.

Authors:  Peter F Thall
Journal:  Lifetime Data Anal       Date:  2007-09-02       Impact factor: 1.588

3.  A gate-keeping test for selecting adaptive interventions under general designs of sequential multiple assignment randomized trials.

Authors:  Xiaobo Zhong; Bin Cheng; Min Qian; Ying Kuen Cheung
Journal:  Contemp Clin Trials       Date:  2019-08-27       Impact factor: 2.226

4.  A trial of an impedance threshold device in out-of-hospital cardiac arrest.

Authors:  Tom P Aufderheide; Graham Nichol; Thomas D Rea; Siobhan P Brown; Brian G Leroux; Paul E Pepe; Peter J Kudenchuk; Jim Christenson; Mohamud R Daya; Paul Dorian; Clifton W Callaway; Ahamed H Idris; Douglas Andrusiek; Shannon W Stephens; David Hostler; Daniel P Davis; James V Dunford; Ronald G Pirrallo; Ian G Stiell; Catherine M Clement; Alan Craig; Lois Van Ottingham; Terri A Schmidt; Henry E Wang; Myron L Weisfeldt; Joseph P Ornato; George Sopko
Journal:  N Engl J Med       Date:  2011-09-01       Impact factor: 91.245

5.  Controlled multi-arm platform design using predictive probability.

Authors:  Brian P Hobbs; Nan Chen; J Jack Lee
Journal:  Stat Methods Med Res       Date:  2016-01-12       Impact factor: 3.021

Review 6.  Integrated phase II/III clinical trials in oncology: a case study.

Authors:  Meihua Wang; James J Dignam; Qiang E Zhang; John F DeGroot; Minesh P Mehta; Sally Hunsberger
Journal:  Clin Trials       Date:  2012-11-22       Impact factor: 2.486

7.  Decision-theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta-binomial distribution.

Authors:  Siew Wan Hee; Nicholas Parsons; Nigel Stallard
Journal:  Biom J       Date:  2017-07-26       Impact factor: 2.207

Review 8.  Basic design considerations for clinical trials in oncology.

Authors:  S Piantadosi; N Saijo; T Tamura
Journal:  Jpn J Cancer Res       Date:  1992-06

9.  Planning multi-arm screening studies within the context of a drug development program.

Authors:  James M S Wason; Thomas Jaki; Nigel Stallard
Journal:  Stat Med       Date:  2013-03-26       Impact factor: 2.373

10.  Bayesian dose selection design for a binary outcome using restricted response adaptive randomization.

Authors:  Caitlyn Meinzer; Renee Martin; Jose I Suarez
Journal:  Trials       Date:  2017-09-08       Impact factor: 2.279

  10 in total

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