Literature DB >> 29200977

Clinical Trial Design as a Decision Problem.

Peter Müller1, Yanxun Xu2, Peter F Thall3.   

Abstract

The intent of this discussion is to highlight opportunities and limitations of utility-based and decision theoretic arguments in clinical trial design. The discussion is based on a specific case study, but the arguments and principles remain valid in general. The example concerns the design of a randomized clinical trial to compare a gel sealant versus standard care for resolving air leaks after pulmonary resection. The design follows a principled approach to optimal decision making, including a probability model for the unknown distributions of time to resolution of air leaks under the two treatment arms, and an explicit utility function that quantifies clinical preferences for alternative outcomes. As is typical for any real application, the final implementation includes some compromises from the initial principled setup. In particular, we use the formal decision problem only for the final decision, but use reasonable ad-hoc decision boundaries for making interim group sequential decisions that stop the trial early. Beyond the discussion of the particular study, we review more general considerations of using a decision theoretic approach for clinical trial design and summarize some of the reasons why such approaches are not commonly used.

Entities:  

Keywords:  Bayesian decision problem Bayes rule; nonparametric Bayes; optimal design; sequential stopping

Year:  2017        PMID: 29200977      PMCID: PMC5705102          DOI: 10.1002/asmb.2222

Source DB:  PubMed          Journal:  Appl Stoch Models Bus Ind        ISSN: 1524-1904            Impact factor:   1.338


  6 in total

1.  Screening designs for drug development.

Authors:  David Rossell; Peter Müller; Gary L Rosner
Journal:  Biostatistics       Date:  2006-10-09       Impact factor: 5.899

2.  Bayesian models for subgroup analysis in clinical trials.

Authors:  Hayley E Jones; David I Ohlssen; Beat Neuenschwander; Amy Racine; Michael Branson
Journal:  Clin Trials       Date:  2011-01-31       Impact factor: 2.486

3.  A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling.

Authors:  Yanxun Xu; Peter F Thall; Peter Müller; Reza J Mehran
Journal:  Bayesian Anal       Date:  2016-07-26       Impact factor: 3.728

4.  Adaptive assignment versus balanced randomization in clinical trials: a decision analysis.

Authors:  D A Berry; S G Eick
Journal:  Stat Med       Date:  1995-02-15       Impact factor: 2.373

Review 5.  Practical Bayesian adaptive randomisation in clinical trials.

Authors:  Peter F Thall; J Kyle Wathen
Journal:  Eur J Cancer       Date:  2007-02-16       Impact factor: 9.162

6.  Utility-based designs for randomized comparative trials with categorical outcomes.

Authors:  Thomas A Murray; Peter F Thall; Ying Yuan
Journal:  Stat Med       Date:  2016-05-18       Impact factor: 2.373

  6 in total
  4 in total

1.  Bayesian Methods in Regulatory Science.

Authors:  Gary L Rosner
Journal:  Stat Biopharm Res       Date:  2019-10-29       Impact factor: 1.452

2.  Estimating optimal dynamic treatment strategies under resource constraints using dynamic marginal structural models.

Authors:  Ellen C Caniglia; Eleanor J Murray; Miguel A Hernán; Zach Shahn
Journal:  Stat Med       Date:  2021-06-29       Impact factor: 2.497

3.  Applying Probabilistic Decision Models to Clinical Trial Design.

Authors:  Wade P Smith; Mark H Phillips
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2018-05-18

4.  Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective.

Authors:  Elja Arjas; Dario Gasbarra
Journal:  BMC Med Res Methodol       Date:  2022-02-20       Impact factor: 4.615

  4 in total

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