Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Practical guidelines for adaptive seamless phase II/III clinical trials that use Bayesian methods

Tools
- Tools
+ Tools

Kimani, Peter K., Glimm, Ekkehard, Maurer, Willi, Hutton, Jane and Stallard, Nigel (2012) Practical guidelines for adaptive seamless phase II/III clinical trials that use Bayesian methods. Statistics in Medicine, Vol.31 (No.19). pp. 2068-2085. doi:10.1002/sim.5326

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1002/sim.5326

Request Changes to record.

Abstract

Hommel (Biometrical Journal; 45:581–589) proposed a flexible testing procedure for seamless phase II/III clinical trials. Schmidli et al. (Statistics in Medicine; 26:4925–4938), Kimani et al. (Statistics in Medicine; 28:917–936) and Brannath et al. (Statistics in Medicine; 28:1445–1463) exploited the flexible testing of Hommel to propose adaptation in seamless phase II/III clinical trials that incorporate prior knowledge by using Bayesian methods. In this paper, we show that adaptation incorporating prior knowledge may lead to higher power. Other important issues to consider in such adaptive designs are the gain in power (or saving in patients) over traditional testing and how utility values used to make the adaptation may be used to stop a trial early. In contrast to the aforementioned authors, we discuss these issues in detail and propose a unified approach to address them so that implementing the aforementioned designs and proposing similar designs is clearer. Copyright © 2012 John Wiley & Sons, Ltd.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title: Statistics in Medicine
Publisher: John Wiley & Sons Ltd.
ISSN: 0277-6715
Official Date: 2012
Dates:
DateEvent
2012Published
Volume: Vol.31
Number: No.19
Page Range: pp. 2068-2085
DOI: 10.1002/sim.5326
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us