A Bayesian approach to investigate life course hypotheses involving continuous exposures | Zendy

Sreenath Madathil | Zendy; Lawrence Joseph | Zendy; Rebecca Hardy | Zendy; MarieClaude Rousseau | Zendy; Belinda Nicolau | Zendy

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A Bayesian approach to investigate life course hypotheses involving continuous exposures

Author(s) -

Sreenath Madathil,

Lawrence Joseph,

Rebecca Hardy,

MarieClaude Rousseau,

Belinda Nicolau

Publication year - 2018

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/dyy107

Subject(s) - bayesian probability , life course approach , econometrics , course (navigation) , statistics , computer science , psychology , mathematics , engineering , developmental psychology , aerospace engineering

Different hypotheses have been proposed in life course epidemiology on how a time-varying exposure can affect health or disease later in life. Researchers are often interested in investigating the probability of these hypotheses based on observed life course data. However, current techniques based on model/variable selection do not provide a direct estimate of this probability. We propose an alternative technique for a continuous exposure, using a Bayesian approach that has specific advantages, to investigate which life course hypotheses are supported by the observed data.

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