Literature DB >> 10398285

Selection bias and treatment heterogeneity in clinical trials.

N T Longford1.   

Abstract

A common perception about many commercially available medical treatments is that they are effective for every patient having the relevant indication and that developers have provided the regulatory authorities with evidence of such a property. We show that the standard of evidence is much lower and that the standard is appropriate only when the treatment effects are almost constant. We discuss the implications on the design and analysis of clinical trials if the standards were made to correspond with the common perception. We conclude that the evidence of positive mean treatment effect should be accompanied by evidence of limited dispersion of the effects and by a sensitivity analysis that explores the impact of the selection bias in recruitment. Copyright 1999 John Wiley & Sons, Ltd.

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Year:  1999        PMID: 10398285     DOI: 10.1002/(sici)1097-0258(19990630)18:12<1467::aid-sim149>3.0.co;2-h

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


  20 in total

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Authors:  W W Hauck; T Hyslop; M L Chen; R Patnaik; R L Williams
Journal:  Pharm Res       Date:  2000-04       Impact factor: 4.200

2.  Generalizing from clinical trial data: a case study. The risk of suicidality among pediatric antidepressant users.

Authors:  Joel B Greenhouse; Eloise E Kaizar; Kelly Kelleher; Howard Seltman; William Gardner
Journal:  Stat Med       Date:  2008-05-20       Impact factor: 2.373

3.  Assessing Heterogeneity of Treatment Effects: Are Authors Misinterpreting Their Results?

Authors:  Erik Fernandez Y Garcia; Hien Nguyen; Naihua Duan; Nicole B Gabler; Richard L Kravitz
Journal:  Health Serv Res       Date:  2010-02       Impact factor: 3.402

4.  The number needed to benefit: estimating the value of predictive analytics in healthcare.

Authors:  Vincent X Liu; David W Bates; Jenna Wiens; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

5.  Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages.

Authors:  Richard L Kravitz; Naihua Duan; Joel Braslow
Journal:  Milbank Q       Date:  2004       Impact factor: 4.911

6.  The effects of antipsychotic treatment on quality of life of schizophrenic patients under naturalistic treatment conditions: an application of random effect regression models and propensity scores in an observational prospective trial.

Authors:  Reinhold Kilian; Matthias C Angermeyer
Journal:  Qual Life Res       Date:  2005-06       Impact factor: 4.147

7.  A New MI-Based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data.

Authors:  Zhaoyang Zhang; Hua Fang; Honggang Wang
Journal:  IEEE Access       Date:  2016-05-16       Impact factor: 3.367

8.  Patterning of individual heterogeneity in body mass index: evidence from 57 low- and middle-income countries.

Authors:  Rockli Kim; Ichiro Kawachi; Brent Andrew Coull; Sankaran Venkata Subramanian
Journal:  Eur J Epidemiol       Date:  2018-01-22       Impact factor: 8.082

9.  Treatment Heterogeneity and Individual Qualitative Interaction.

Authors:  Robert S Poulson; Gary L Gadbury; David B Allison
Journal:  Am Stat       Date:  2012-06-12       Impact factor: 8.710

10.  Dealing with heterogeneity of treatment effects: is the literature up to the challenge?

Authors:  Nicole B Gabler; Naihua Duan; Diana Liao; Joann G Elmore; Theodore G Ganiats; Richard L Kravitz
Journal:  Trials       Date:  2009-06-19       Impact factor: 2.279

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