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相关的风险。虽然这些管理数据库是以最低成本提供大量患者现成信息的极好来源，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的错误分类造成的，如果在研究设计和/或统计分析中没有正确处理，可能会导致错误的结果。我的研究计划包括三个项目，每个项目都涉及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.