Accounting for misclassification errors in observational studies using administrative databases

卫生服务行政数据库已被广泛用于评估与疾病及其治疗有关的风险。虽然这些管理数据库以最低的成本提供了大量患者的现成信息，但它们容易出现测量误差。测量误差可能是由于病例或暴露错误分类造成的，如果在研究设计和/或统计分析中处理不当，可能导致错误的结果。我的研究计划包括三个项目，每个项目解决测量误差的一个方面。

Health services administrative databases have been widely used to assess risks associated with diseases and their treatments. Although these administrative databases are excellent sources of ready-to-use information on large number of patients at minimal costs, they are prone to measurement errors. Measurement errors can be due to case or exposure misclassification and can lead to erroneous results if not addressed properly in the study design and/or statistical analyses. My research program includes three projects, each addressing one aspect of measurement error.