Quantifying risk over the life course – latency,age‐related susceptibility,and other time‐varying exposure metrics |
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| Authors: | Molin Wang Xiaomei Liao Francine Laden Donna Spiegelman |
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| Affiliation: | 1. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.;2. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.;3. Channing Division of Network Medicine, Department of Medicine, Brigham and Women?s Hospital and Harvard Medical School, Boston, MA, U.S.A.;4. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.;5. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A. |
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| Abstract: | 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. |
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| Keywords: | latency time‐to‐event data cohort studies time‐varying exposure Cox proportional hazard model |
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