Literature DB >> 3358990

One-sided sequential stopping boundaries for clinical trials: a decision-theoretic approach.

D A Berry1, C H Ho.   

Abstract

We address one-sided stopping rules for clinical trials, or more generally, drug development programs, from a decision-theoretic point of view. If efficacy results are sufficiently negative then the trial will be stopped. But regardless of how positive the efficacy results are, the trial will continue in order to demonstrate safety. We show how sequential decisions should be made by a pharmaceutical company attempting to maximize its expected profits.

Mesh:

Year:  1988        PMID: 3358990

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  11 in total

Review 1.  Stopping rules for phase II studies.

Authors:  N Stallard; J Whitehead; S Todd; A Whitehead
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Review 2.  Sample size determination for cost-effectiveness trials.

Authors:  Andrew R Willan
Journal:  Pharmacoeconomics       Date:  2011-11       Impact factor: 4.981

3.  To add or not to add a new treatment arm to a multiarm study: A decision-theoretic framework.

Authors:  Kim May Lee; James Wason; Nigel Stallard
Journal:  Stat Med       Date:  2019-05-21       Impact factor: 2.373

4.  An efficient sequential design of clinical trials.

Authors:  Yi Cheng; Yu Shen
Journal:  J Stat Plan Inference       Date:  2013-02-01       Impact factor: 1.111

5.  Bayesian adaptive model selection for optimizing group sequential clinical trials.

Authors:  J Kyle Wathen; Peter F Thall
Journal:  Stat Med       Date:  2008-11-29       Impact factor: 2.373

Review 6.  Decision-theoretic designs for small trials and pilot studies: A review.

Authors:  Siew Wan Hee; Thomas Hamborg; Simon Day; Jason Madan; Frank Miller; Martin Posch; Sarah Zohar; Nigel Stallard
Journal:  Stat Methods Med Res       Date:  2015-06-05       Impact factor: 3.021

7.  Value of information methods to design a clinical trial in a small population to optimise a health economic utility function.

Authors:  Michael Pearce; Siew Wan Hee; Jason Madan; Martin Posch; Simon Day; Frank Miller; Sarah Zohar; Nigel Stallard
Journal:  BMC Med Res Methodol       Date:  2018-02-08       Impact factor: 4.615

8.  Decision-theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta-binomial distribution.

Authors:  Siew Wan Hee; Nicholas Parsons; Nigel Stallard
Journal:  Biom J       Date:  2017-07-26       Impact factor: 2.207

Review 9.  Cystatin C, COVID-19 severity and mortality: a systematic review and meta-analysis.

Authors:  Angelo Zinellu; Arduino A Mangoni
Journal:  J Nephrol       Date:  2021-08-14       Impact factor: 3.902

10.  Analysis of phase II methodologies for single-arm clinical trials with multiple endpoints in rare cancers: An example in Ewing's sarcoma.

Authors:  P Dutton; S B Love; L Billingham; A B Hassan
Journal:  Stat Methods Med Res       Date:  2016-09-01       Impact factor: 3.021

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