Abstract:
: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.
journal_name
Am J Epidemioljournal_title
American journal of epidemiologyauthors
Cole SR,Hudgens MG,Brookhart MA,Westreich Ddoi
10.1093/aje/kwv001subject
Has Abstractpub_date
2015-02-15 00:00:00pages
246-50issue
4eissn
0002-9262issn
1476-6256pii
kwv001journal_volume
181pub_type
杂志文章abstract::To examine sex-specific risk factors for human immunodeficiency virus (HIV) type 1 seroconversion among intravenous drug users, the authors conducted a nested case-control study in Baltimore, Maryland, from 1988 to 1992 comparing 146 seroconverters and 539 HIV seronegative controls. Controls were matched on sex, race,...
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