Risk

被引：68

作者：

Cole, Stephen R. ^{[1
]}

Hudgens, Michael G. ^{[2
]}

Brookhart, M. Alan ^{[1
]}

Westreich, Daniel ^{[1
]}

机构：

[1] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA

[2] Univ N Carolina, Dept Biostat, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA

来源：

AMERICAN JOURNAL OF EPIDEMIOLOGY | 2015年 / 181卷 / 04期

基金：

美国国家卫生研究院; 美国医疗保健研究与质量局;

关键词：

causal inference; cohort study; semi-Bayes method; semiparametric inference; survival analysis; ACTIVE ANTIRETROVIRAL THERAPY; CAUSAL INFERENCE; SENSITIVITY-ANALYSIS; INVERSE PROBABILITY; COMPETING RISKS; BAYESIAN-ANALYSIS; RATIO; TIME; AIDS; MORTALITY;

D O I：

10.1093/aje/kwv001

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

The epidemiologist primarily studies transitions between states of health and disease. The purpose of the present article is to define a foundational parameter for such studies, namely risk. We begin simply and build to the setting in which there is more than 1 event type (i.e., competing risks or competing events), as well as more than 1 treatment or exposure level of interest. In the presence of competing events, the risks are a set of counterfactual cumulative incidence functions for each treatment. These risks can be depicted visually and summarized numerically. We use an example from the study of human immunodeficiency virus to illustrate concepts.

引用

页码：246 / 250

页数：5

共 57 条

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