title: Quantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metrics.
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.
authors.affiliation: Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Channing Division of Network Medicine, Department of Medicine, Brigham and WomenŠs Hospital and Harvard Medical School, Boston, MA, U.S.A.
authors.forename: Molin
authors.initials: M
authors.lastname: Wang
authors.affiliation: Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Channing Division of Network Medicine, Department of Medicine, Brigham and WomenŠs Hospital and Harvard Medical School, Boston, MA, U.S.A.
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Liao
authors.affiliation: Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Channing Division of Network Medicine, Department of Medicine, Brigham and WomenŠs Hospital and Harvard Medical School, Boston, MA, U.S.A.|Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
authors.forename: Francine
authors.initials: F
authors.lastname: Laden
authors.affiliation: Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.|Channing Division of Network Medicine, Department of Medicine, Brigham and WomenŠs Hospital and Harvard Medical School, Boston, MA, U.S.A.|Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
authors.forename: Donna
authors.initials: D
authors.lastname: Spiegelman
mesh_terms: D000367:Age Factors; D000375:Aging; D000397:Air Pollution / Q000009:adverse effects / Q000706:statistics & numerical data; D004198:Disease Susceptibility / Q000453:epidemiology; D004781:Environmental Exposure / Q000009:adverse effects / Q000706:statistics & numerical data; D006801:Humans; D007837:Latency Period, Psychological; D016013:Likelihood Functions; D015233:Models, Statistical; D009026:Mortality; D018570:Risk Assessment / Q000706:statistics & numerical data*; D012307:Risk Factors; D013997:Time Factors
keywords: Cox proportional hazard model; cohort studies; latency; time-to-event data; time-varying exposure