Literature DB >> 16724485

Adaptive designs in clinical drug development--an Executive Summary of the PhRMA Working Group.

Paul Gallo1, Christy Chuang-Stein, Vladimir Dragalin, Brenda Gaydos, Michael Krams, José Pinheiro.   

Abstract

A PhRMA Working Group on adaptive clinical trial designs has been formed to investigate and facilitate opportunities for wider acceptance and usage of adaptive designs and related methodologies. A White Paper summarizing the findings of the group is in preparation; this article is an Executive Summary for that full White Paper, and summarizes the findings and recommendations of the group. Logistic, operational, procedural, and statistical challenges associated with adaptive designs are addressed. Three particular areas where it is felt that adaptive designs can be utilized beneficially are discussed: dose finding, seamless Phase II/III trials designs, and sample size reestimation.

Mesh:

Year:  2006        PMID: 16724485     DOI: 10.1080/10543400600614742

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  80 in total

1.  The practical application of adaptive study design in early phase clinical trials: a retrospective analysis of time savings.

Authors:  U Lorch; K Berelowitz; C Ozen; A Naseem; E Akuffo; J Taubel
Journal:  Eur J Clin Pharmacol       Date:  2011-11-25       Impact factor: 2.953

2.  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

Review 3.  Biomarker-based adaptive trials for patients with glioblastoma--lessons from I-SPY 2.

Authors:  Brian M Alexander; Patrick Y Wen; Lorenzo Trippa; David A Reardon; Wai-Kwan Alfred Yung; Giovanni Parmigiani; Donald A Berry
Journal:  Neuro Oncol       Date:  2013-07-14       Impact factor: 12.300

4.  A practical guide to pre-trial simulations for Bayesian adaptive trials using SAS and BUGS.

Authors:  Christian Holm Hansen; Pamela Warner; Allan Walker; Richard A Parker; Lucy Whitaker; Hilary O D Critchley; Christopher J Weir
Journal:  Pharm Stat       Date:  2018-09-14       Impact factor: 1.894

Review 5.  The future of drug development: advancing clinical trial design.

Authors:  John Orloff; Frank Douglas; Jose Pinheiro; Susan Levinson; Michael Branson; Pravin Chaturvedi; Ene Ette; Paul Gallo; Gigi Hirsch; Cyrus Mehta; Nitin Patel; Sameer Sabir; Stacy Springs; Donald Stanski; Matthias R Evers; Edd Fleming; Navjot Singh; Tony Tramontin; Howard Golub
Journal:  Nat Rev Drug Discov       Date:  2009-10-09       Impact factor: 84.694

Review 6.  Efficiency perspectives on adaptive designs in stroke clinical trials.

Authors:  Ken Cheung; Petra Kaufmann
Journal:  Stroke       Date:  2011-09-01       Impact factor: 7.914

Review 7.  Randomized clinical trials in stroke research.

Authors:  Chul Ahn; Daniel Ahn
Journal:  J Investig Med       Date:  2010-02       Impact factor: 2.895

8.  Overview, hurdles, and future work in adaptive designs: perspectives from a National Institutes of Health-funded workshop.

Authors:  Christopher S Coffey; Bruce Levin; Christina Clark; Cate Timmerman; Janet Wittes; Peter Gilbert; Sara Harris
Journal:  Clin Trials       Date:  2012-12       Impact factor: 2.486

Review 9.  Adaptive designs for randomized trials in public health.

Authors:  C Hendricks Brown; Thomas R Ten Have; Booil Jo; Getachew Dagne; Peter A Wyman; Bengt Muthén; Robert D Gibbons
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

10.  Innovations in clinical research design and conduct in psychiatry: shifting to pragmatic approaches.

Authors:  David M Marks; Thanaseelan J; Chi-Un Pae
Journal:  Psychiatry Investig       Date:  2009-03-31       Impact factor: 2.505

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