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A structured approach to hypotheses involving continuous exposures over the life course
Author(s) -
Andrew Smith,
Rebecca Hardy,
Jon Heron,
Carol Joinson,
Debbie A. Lawlor,
Corrie MacdonaldWallis,
Kate Tilling
Publication year - 2016
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyw164
Subject(s) - confounding , life course approach , missing data , psychology , consistency (knowledge bases) , association (psychology) , pregnancy , developmental psychology , medicine , econometrics , statistics , mathematics , biology , geometry , psychotherapist , genetics
Epidemiologists are often interested in examining different hypotheses for how exposures measured repeatedly over the life course relate to later-life outcomes. A structured approach for selecting the hypotheses most supported by theory and observed data has been developed for binary exposures. The aim of this paper is to extend this to include continuous exposures and allow for confounding and missing data.

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