Literature DB >> 19061203

One- and two-stage design proposals for a phase II trial comparing three active treatments with control using an ordered categorical endpoint.

John Whitehead1, Thomas Jaki.   

Abstract

Phase II clinical trials are performed to investigate whether a novel treatment shows sufficient promise of efficacy to justify its evaluation in a subsequent definitive phase III trial, and they are often also used to select the dose to take forward. In this paper we discuss different design proposals for a phase II trial in which three active treatment doses and a placebo control are to be compared in terms of a single-ordered categorical endpoint. The sample size requirements for one-stage and two-stage designs are derived, based on an approach similar to that of Dunnett. Detailed computations are prepared for an illustrative example concerning a study in stroke. Allowance for early stopping for futility is made. Simulations are used to verify that the specified type I error and power requirements are valid, despite certain approximations used in the derivation of sample size. The advantages and disadvantages of the different designs are discussed, and the scope for extending the approach to different forms of endpoint is considered. Copyright (c) 2008 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19061203     DOI: 10.1002/sim.3508

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


  8 in total

1.  The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  BMJ       Date:  2020-06-17

2.  Using regression mixture models with non-normal data: Examining an ordered polytomous approach.

Authors:  Melissa R W George; Na Yang; M Lee Van Horn; Jessalyn Smith; Thomas Jaki; Dan Feaster; Katherine Masyn; George Howe
Journal:  J Stat Comput Simul       Date:  2013-01-01       Impact factor: 1.424

3.  Not quite normal: Consequences of violating the assumption of normality in regression mixture models.

Authors:  M Lee Van Horn; Jessalyn Smith; Abigail A Fagan; Thomas Jaki; Daniel J Feaster; Katherine Masyn; J David Hawkins; George Howe
Journal:  Struct Equ Modeling       Date:  2012-05-17       Impact factor: 6.125

4.  Telmisartan and Insulin Resistance in HIV (TAILoR): protocol for a dose-ranging phase II randomised open-labelled trial of telmisartan as a strategy for the reduction of insulin resistance in HIV-positive individuals on combination antiretroviral therapy.

Authors:  Sudeep P Pushpakom; Claire Taylor; Ruwanthi Kolamunnage-Dona; Catherine Spowart; Jiten Vora; Marta García-Fiñana; Graham J Kemp; John Whitehead; Thomas Jaki; Saye Khoo; Paula Williamson; Munir Pirmohamed
Journal:  BMJ Open       Date:  2015-10-15       Impact factor: 2.692

5.  TAILoR (TelmisArtan and InsuLin Resistance in Human Immunodeficiency Virus [HIV]): An Adaptive-design, Dose-ranging Phase IIb Randomized Trial of Telmisartan for the Reduction of Insulin Resistance in HIV-positive Individuals on Combination Antiretroviral Therapy.

Authors:  Sudeep Pushpakom; Ruwanthi Kolamunnage-Dona; Claire Taylor; Terry Foster; Cath Spowart; Marta García-Fiñana; Graham J Kemp; Thomas Jaki; Saye Khoo; Paula Williamson; Munir Pirmohamed
Journal:  Clin Infect Dis       Date:  2020-05-06       Impact factor: 9.079

6.  The adaptive designs CONSORT extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  Trials       Date:  2020-06-17       Impact factor: 2.279

7.  Some recommendations for multi-arm multi-stage trials.

Authors:  James Wason; Dominic Magirr; Martin Law; Thomas Jaki
Journal:  Stat Methods Med Res       Date:  2012-12-12       Impact factor: 3.021

8.  Designing multi-arm multi-stage clinical trials using a risk-benefit criterion for treatment selection.

Authors:  Thomas Jaki; Lisa V Hampson
Journal:  Stat Med       Date:  2015-10-12       Impact factor: 2.373

  8 in total

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