Literature DB >> 4059716

Assessing apparent treatment--covariate interactions in randomized clinical trials.

D P Byar.   

Abstract

In the context of clinical trials, a qualitative treatment--covariate interaction occurs when a patient's preferred treatment depends on his covariates. In this paper I review the nature and interpretation of various kinds of interactions, compare the use of overall tests for interaction to subset analysis, present some examples of apparent treatment-covariate interactions that have arisen in actual randomized clinical trials, and discuss some recent work by others related to significance testing, estimation and assessment of apparent treatment-covariate interactions.

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Year:  1985        PMID： 4059716     DOI： 10.1002/sim.4780040304

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  18 in total

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Authors:  I Mittra
Journal:  BMJ       Date:  1990-12-08

2.  Circle of Security-Parenting: A randomized controlled trial in Head Start.

Authors:  Jude Cassidy; Bonnie E Brett; Jacquelyn T Gross; Jessica A Stern; David R Martin; Jonathan J Mohr; Susan S Woodhouse
Journal:  Dev Psychopathol       Date:  2017-05

3.  Analysis of randomized comparative clinical trial data for personalized treatment selections.

Authors:  Tianxi Cai; Lu Tian; Peggy H Wong; L J Wei
Journal:  Biostatistics       Date:  2010-09-28       Impact factor: 5.899

4.  Increasing efficiency for estimating treatment-biomarker interactions with historical data.

Authors:  Philip S Boonstra; Jeremy Mg Taylor; Bhramar Mukherjee
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Review 5.  Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects.

Authors:  David M Kent; Ewout Steyerberg; David van Klaveren
Journal:  BMJ       Date:  2018-12-10

Review 6.  A framework for the analysis of heterogeneity of treatment effect in patient-centered outcomes research.

Authors:  Ravi Varadhan; Jodi B Segal; Cynthia M Boyd; Albert W Wu; Carlos O Weiss
Journal:  J Clin Epidemiol       Date:  2013-05-04       Impact factor: 6.437

Review 7.  Recent development on statistical methods for personalized medicine discovery.

Authors:  Yingqi Zhao; Donglin Zeng
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8.  Detecting moderator effects using subgroup analyses.

Authors:  Rui Wang; James H Ware
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9.  Detecting treatment-covariate interactions using permutation methods.

Authors:  Rui Wang; David A Schoenfeld; Bettina Hoeppner; A Eden Evins
Journal:  Stat Med       Date:  2015-03-02       Impact factor: 2.373

10.  The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement: Explanation and Elaboration.

Authors:  David M Kent; David van Klaveren; Jessica K Paulus; Ralph D'Agostino; Steve Goodman; Rodney Hayward; John P A Ioannidis; Bray Patrick-Lake; Sally Morton; Michael Pencina; Gowri Raman; Joseph S Ross; Harry P Selker; Ravi Varadhan; Andrew Vickers; John B Wong; Ewout W Steyerberg
Journal:  Ann Intern Med       Date:  2019-11-12       Impact factor: 25.391
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