Estimation of attributable fractions using inverse probability weighting

被引：14
|
作者：
Sjolander, Arvid [1 ]
机构：
[1] Karolinska Inst, Dept Med Epidemiol & Biostat, S-17177 Stockholm, Sweden
来源：
STATISTICAL METHODS IN MEDICAL RESEARCH | 2011年 / 20卷 / 04期
关键词：
PRINCIPAL STRATIFICATION; SENSITIVITY-ANALYSIS; PHYSICAL-ACTIVITY; CAUSAL INFERENCE; OUTCOMES;
D O I：
10.1177/0962280209349880
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
The attributable fraction is commonly used in epidemiology to quantify the impact of an exposure on a disease. Several estimation methods have been suggested in the literature, including maximum likelihood estimation. In this article we propose an additional estimation method, based on inverse probability weighting. This method is particularly useful when a model for the exposure distibution can be well specified. We carry out a simulation study to examine the performance of the inverse probability weighted estimator, and to compare it to the maximum likelihood estimator.
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页码：415 / 428
页数：14
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