Measurement error correction using validation data:: a review of methods and their applicability in case-control studies

被引:34
|
作者
Thürigen, D
Spiegelman, D
Blettner, M
Heuer, C
Brenner, H
机构
[1] Univ Heidelberg, German Ctr Res Ageing, Dept Epidemiol, D-69115 Heidelberg, Germany
[2] Univ Ulm, Dept Epidemiol, D-89069 Ulm, Germany
[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[4] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[5] Univ Bielefeld, Dept Epidemiol & Stat Med, D-4800 Bielefeld, Germany
[6] SAP AG, Walldorf, Germany
关键词
D O I
10.1191/096228000701555253
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
Measurement error is a serious problem in the analysis of epidemiological data. In the past 20 years, a large number of methods for the correction of measurement error have been developed. While at the beginning mostly methods for cohort studies were considered, recently more attention has been paid to case-control studies. Although a variety of methods have been proposed, they are very rarely used in practice. To stimulate their use and further development, this article provides a comprehensive overview on methods developed for multivariable regression analysis of epidemiologic studies with validation data sets. The methods are systematically classified with respect to the underlying theory. An assessment of prerequisites, assumptions and performance of the available methods is given. Particular attention is paid to applicability to case-control studies and need for further research and development is pointed out.
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页码:447 / 474
页数:28
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