Literature DB >> 24409111

A note about the identifiability of causal effect estimates in randomized trials with non-compliance.

Kwun Chuen Gary Chan1.   

Abstract

We show that assumptions that are sufficient for estimating an average treatment effect in randomized trials with non-compliance restrict the subgroup means for always takers, compliers, defiers and never takers to a two dimensional linear subspace of a four dimensional space. Implications and specials cases are examplified.

Entities:  

Keywords:  Average treatment effect; Complier average treatment effect; Instrumental variables; Principal Stratification

Year:  2014        PMID: 24409111      PMCID: PMC3881309          DOI: 10.1016/j.stamet.2013.07.003

Source DB:  PubMed          Journal:  Stat Methodol        ISSN: 1572-3127


  2 in total

1.  Instruments for causal inference: an epidemiologist's dream?

Authors:  Miguel A Hernán; James M Robins
Journal:  Epidemiology       Date:  2006-07       Impact factor: 4.822

2.  A comparison of methods for estimating the causal effect of a treatment in randomized clinical trials subject to noncompliance.

Authors:  Roderick J Little; Qi Long; Xihong Lin
Journal:  Biometrics       Date:  2008-05-28       Impact factor: 2.571

  2 in total

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