Building efficient comparative effectiveness trials through adaptive designs, utility functions, and accrual rate optimization: finding the sweet spot-Reference-Cited by-同舟云学术

Building efficient comparative effectiveness trials through adaptive designs, utility functions, and accrual rate optimization: finding the sweet spot

Published:2015-01-07 Issue:7 Volume:34 Page:1134-1149
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Gajewski Byron J.¹^ORCID,Berry Scott M.²,Quintana Melanie²,Pasnoor Mamatha³,Dimachkie Mazen³,Herbelin Laura³,Barohn Richard³

Affiliation:

1. Department of Biostatistics; University of Kansas Medical Center; Kansas City 66160 KS U.S.A.

2. Berry Consultants; 4301 Westbank Drive, Suite 140, Bldg B Austin 78746 TX U.S.A.

3. Department of Neurology; University of Kansas Medical Center; Kansas City 66160 KS U.S.A.

Funder

National Center for Advancing Translational Sciences

Patient-Centered Outcomes Research Institute

Leonard Wilk Trust

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6403/fullpdf

Reference22 articles.

1. Bayesian adaptive clinical trials: a dream for statisticians only?;Chevret;Statistics in Medicine,2012

2. A guide to drug discovery: Bayesian clinical trials (2006);Berry;Nature Reviews Drug Discovery,2006

3. Adaptive clinical trials in oncology;Berry;Nature Reviews Clinical Oncology,2012

4. Bayesian clinical trials in action;Lee;Statistics in Medicine,2012

5. Bayesian approaches in medical device clinical trials: a discussion with examples in the regulatory setting;Bonangelino;Journal of Biopharmaceutical Statistics,2011

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