Accounting for misclassification errors in observational studies using administrative databases

卫生服务管理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获得大量患者即时可用信息的绝佳来源，但它们容易出现测量错误。测量错误可能是由于病例或暴露分类错误所致，如果在研究设计和/或统计分析中未正确解决，则可能导致错误结果。我的研究计划包括三个项目，每个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.