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Quantifying risk over the life course – latency, age‐related susceptibility, and other time‐varying exposure metrics
Author(s) -
Wang Molin,
Liao Xiaomei,
Laden Francine,
Spiegelman Donna
Publication year - 2016
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.6864
Subject(s) - inference , latency (audio) , life course approach , statistics , demography , estimation , computer science , econometrics , environmental health , medicine , psychology , mathematics , economics , artificial intelligence , developmental psychology , telecommunications , sociology , management
Identification of the latency period and age‐related susceptibility, if any, is an important aspect of assessing risks of environmental, nutritional, and occupational exposures. We consider estimation and inference for latency and age‐related susceptibility in relative risk and excess risk models. We focus on likelihood‐based methods for point and interval estimation of the latency period and age‐related windows of susceptibility coupled with several commonly considered exposure metrics. The method is illustrated in a study of the timing of the effects of constituents of air pollution on mortality in the Nurses' Health Study. Copyright © 2016 John Wiley & Sons, Ltd.