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Invited Commentary: Composite Outcomes as an Attempt to Escape From Selection Bias and Related Paradoxes
Author(s) -
Miguel A. Hernán,
Enrique F. Schisterman,
Sonia Hernández–Dı́az
Publication year - 2013
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwt283
Subject(s) - selection (genetic algorithm) , selection bias , causal inference , psychology , epistemology , positive economics , medicine , computer science , philosophy , econometrics , economics , artificial intelligence , pathology
This commentary reviews the recent history of explanations to crossover paradoxes such as the birth weight and gestational age paradoxes, with a special emphasis on the current proposal by Kramer et al. in this issue of the Journal (Am J Epidemiol. 2014;179(3):361-367). We contend that the causal structure of these paradoxes is essentially identical to that of several well-known selection biases. We then consider the pros and cons of using composite outcomes to circumvent these selection biases.

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