Quantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metrics

被引：9

作者：

Wang, Molin ^{[1
,2
,3
,4
]}

Liao, Xiaomei ^{[1
,3
,4
]}

Laden, Francine ^{[2
,3
,4
,5
]}

Spiegelman, Donna ^{[1
,2
,3
,4
,6
]}

机构：

[1] Harvard Univ, TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[2] Harvard Univ, TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA

[3] Brigham & Womens Hosp, Channing Div Network Med, Dept Med, 75 Francis St, Boston, MA 02115 USA

[4] Harvard Univ, Sch Med, Boston, MA USA

[5] Harvard Univ, TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA

[6] Harvard Univ, TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA

来源：

STATISTICS IN MEDICINE | 2016年 / 35卷 / 13期

基金：

美国国家卫生研究院;

关键词：

latency; time-to-event data; cohort studies; time-varying exposure; Cox proportional hazard model; NUISANCE PARAMETER; LUNG-CANCER; FOLLOW-UP; MODELS; MORTALITY; FINE;

D O I：

10.1002/sim.6864

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 (c) 2016 John Wiley & Sons, Ltd.

引用

页码：2283 / 2295

页数：13

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