期刊
STATISTICS IN MEDICINE
卷 32, 期 14, 页码 2500-2512出版社
WILEY
DOI: 10.1002/sim.5826
关键词
causal effect; incidence register; potential outcomes; design weighting
类别
资金
- Swedish Research Council [0735]
- Swedish Research Council through Riksbankens Jubileumsfond [P11-0814:1]
- Umea node of the Swedish Initiative for Research on Microdata in the Social and Medical Sciences
- Swedish Foundation for Humanities and Social Sciences [P11-0814:1] Funding Source: Swedish Foundation for Humanities and Social Sciences
Estimation of marginal causal effects from case-control data has two complications: (i) confounding due to the fact that the exposure under study is not randomized, and (ii) bias from the case-control sampling scheme. In this paper, we study estimators of the marginal causal odds ratio, addressing these issues for matched and unmatched case-control designs when utilizing the knowledge of the known prevalence of being a case. The estimators are implemented in simulations where their finite sample properties are studied and approximations of their variances are derived with the delta method. Also, we illustrate the methods by analyzing the effect of low birth weight on the risk of type 1 diabetes mellitus using data from the Swedish Childhood Diabetes Register, a nationwide population-based incidence register. Copyright (c) 2013 John Wiley & Sons, Ltd.
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