Literature DB >> 20230101

Reflections stimulated by the comments of Shadish (2010) and West and Thoemmes (2010).

Donald B Rubin1.   

Abstract

This article offers reflections on the development of the Rubin causal model (RCM), which were stimulated by the impressive discussions of the RCM and Campbell's superb contributions to the practical problems of drawing causal inferences written by Will Shadish (2010) and Steve West and Felix Thoemmes (2010). It is not a rejoinder in any real sense but more of a sequence of clarifications of parts of the RCM combined with some possibly interesting personal historical comments, which I do not think can be found elsewhere. Of particular interest in the technical content, I think, are the extended discussions of the stable unit treatment value assumption, the explication of the variety of definitions of causal estimands, and the discussion of the assignment mechanism.

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Year:  2010        PMID: 20230101      PMCID: PMC2891035          DOI: 10.1037/a0018537

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  3 in total

1.  Principal stratification in causal inference.

Authors:  Constantine E Frangakis; Donald B Rubin
Journal:  Biometrics       Date:  2002-03       Impact factor: 2.571

2.  Campbell and Rubin: A primer and comparison of their approaches to causal inference in field settings.

Authors:  William R Shadish
Journal:  Psychol Methods       Date:  2010-03

3.  Campbell's and Rubin's perspectives on causal inference.

Authors:  Stephen G West; Felix Thoemmes
Journal:  Psychol Methods       Date:  2010-03
  3 in total
  5 in total

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Authors: 
Journal:  Prev Sci       Date:  2012-02

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Journal:  Prev Sci       Date:  2012-08

3.  Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth".

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Journal:  Health Serv Res       Date:  2011-02-09       Impact factor: 3.402

Review 4.  Combating unmeasured confounding in cross-sectional studies: evaluating instrumental-variable and Heckman selection models.

Authors:  Alfred DeMaris
Journal:  Psychol Methods       Date:  2014-08-11

5.  Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention.

Authors:  David H Barker; Issa J Dahabreh; Jon A Steingrimsson; Christopher Houck; Geri Donenberg; Ralph DiClemente; Larry K Brown
Journal:  Prev Sci       Date:  2021-07-09
  5 in total

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