Literature DB >> 12925501

The compliance score as a regressor in randomized trials.

Marshall M Joffe1, Thomas R Ten Have, Colleen Brensinger.   

Abstract

The compliance score in randomized trials is a measure of the effect of randomization on treatment received. It is in principle a group-level pretreatment variable and so can be used where individual-level measures of treatment received can produce misleading inferences. The interpretation of models with the compliance score as a regressor of interest depends on the link function. Using the identity link can lead to valid inference about the effects of treatment received even in the presence of nonrandom noncompliance; such inference is more problematic for nonlinear links. We illustrate these points with data from two randomized trials.

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Year:  2003        PMID: 12925501     DOI: 10.1093/biostatistics/4.3.327

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  6 in total

1.  THE POTENTIAL FOR BIAS IN PRINCIPAL CAUSAL EFFECT ESTIMATION WHEN TREATMENT RECEIVED DEPENDS ON A KEY COVARIATE.

Authors:  Corwin M Zigler; Thomas R Belin
Journal:  Ann Appl Stat       Date:  2011       Impact factor: 2.083

2.  Estimating efficacy in a randomized trial with product nonadherence: application of multiple methods to a trial of preexposure prophylaxis for HIV prevention.

Authors:  Pamela M Murnane; Elizabeth R Brown; Deborah Donnell; R Yates Coley; Nelly Mugo; Andrew Mujugira; Connie Celum; Jared M Baeten
Journal:  Am J Epidemiol       Date:  2015-10-19       Impact factor: 4.897

3.  Design, recruitment and start up of a primary care weight loss trial targeting African American and Hispanic adults.

Authors:  Shiriki Kumanyika; Jennifer Fassbender; Etienne Phipps; Susan Tan-Torres; Russell Localio; Knashawn H Morales; David B Sarwer; Tina Harralson; Kelly Allison; Lisa Wesby; Ronni Kessler; Adam Gilden Tsai; Thomas A Wadden
Journal:  Contemp Clin Trials       Date:  2010-11-07       Impact factor: 2.226

4.  Instrumental variable analysis of multiplicative models with potentially invalid instruments.

Authors:  Michelle Shardell; Luigi Ferrucci
Journal:  Stat Med       Date:  2016-08-16       Impact factor: 2.373

5.  On the use of propensity scores in principal causal effect estimation.

Authors:  Booil Jo; Elizabeth A Stuart
Journal:  Stat Med       Date:  2009-10-15       Impact factor: 2.373

6.  Reporting non-adherence in cluster randomised trials: A systematic review.

Authors:  Schadrac C Agbla; Karla DiazOrdaz
Journal:  Clin Trials       Date:  2018-04-02       Impact factor: 2.486

  6 in total

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