作者
Til Stürmer, Manisha Joshi, Robert J Glynn, Jerry Avorn, Kenneth J Rothman, Sebastian Schneeweiss
发表日期
2006/5/1
来源
Journal of clinical epidemiology
卷号
59
期号
5
页码范围
437. e1-437. e24
出版商
Pergamon
简介
OBJECTIVE
Propensity score (PS) analyses attempt to control for confounding in nonexperimental studies by adjusting for the likelihood that a given patient is exposed. Such analyses have been proposed to address confounding by indication, but there is little empirical evidence that they achieve better control than conventional multivariate outcome modeling.
STUDY DESIGN AND METHODS
Using PubMed and Science Citation Index, we assessed the use of propensity scores over time and critically evaluated studies published through 2003.
RESULTS
Use of propensity scores increased from a total of 8 reports before 1998 to 71 in 2003. Most of the 177 published studies abstracted assessed medications (N = 60) or surgical interventions (N = 51), mainly in cardiology and cardiac surgery (N = 90). Whether PS methods or conventional outcome models were used to control for confounding had little effect on …
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