Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Minimizing the Maximum Expected Sample Size in Two-Stage Phase II Clinical Trials with Continuous Outcomes

Wason, James M. S. and Mander, Adrian P. 2012. Minimizing the Maximum Expected Sample Size in Two-Stage Phase II Clinical Trials with Continuous Outcomes. Journal of Biopharmaceutical Statistics 22 (4) , pp. 836-852. 10.1080/10543406.2010.528104

Full text not available from this repository.

Abstract

Two-stage designs are commonly used for Phase II trials. Optimal two-stage designs have the lowest expected sample size for a specific treatment effect, for example, the null value, but can perform poorly if the true treatment effect differs. Here we introduce a design for continuous treatment responses that minimizes the maximum expected sample size across all possible treatment effects. The proposed design performs well for a wider range of treatment effects and so is useful for Phase II trials. We compare the design to a previously used optimal design and show it has superior expected sample size properties.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Medicine
Centre for Trials Research (CNTRR)
Publisher: Taylor & Francis: STM, Behavioural Science and Public Health Titles
ISSN: 1054-3406
Date of Acceptance: 10 September 2010
Last Modified: 05 Mar 2020 11:30
URI: http://orca.cf.ac.uk/id/eprint/123291

Citation Data

Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item