Literature DB >> 21883715

Marginal structural models: much ado about (almost) nothing.

Eyal Shahar1, Doron J Shahar.   

Abstract

Marginal structural models were developed to account for a so-called time-dependent confounder and to estimate the presumed effect of 'treatment regime' (treatment over time). We present a set of causal axioms, according to which the problem of time-dependent confounding does not exist, and 'treatment regime' affects nothing. Per our axiomatization, marginal structural models do not introduce a new idea of deconfounding, but simply estimate a weighted average of effects. Whenever a weighted average and the weighting scheme can both be rationalized, the models are acceptable. Whenever a weighted average does not estimate an effect (e.g. important effect modification is ignored), or the weights are senseless - the models should not be fit.
© 2011 Blackwell Publishing Ltd.

Mesh:

Year:  2011        PMID: 21883715     DOI: 10.1111/j.1365-2753.2011.01757.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  1 in total

1.  Causal diagrams and the logic of matched case-control studies.

Authors:  Eyal Shahar; Doron J Shahar
Journal:  Clin Epidemiol       Date:  2012-05-15       Impact factor: 4.790

  1 in total

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