The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models
Austin PC. Stat Methods Med Res. 2024; Apr 24 [Epub ahead of print].
High quality administrative data are essential to policy makers and health services researchers. By their nature, however, administrative data are imperfect and can be improved. Much of the research conducted at ICES relies heavily on the Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD), which contains detailed clinical, demographic and administrative data for hospital admissions and day surgeries across Canada. Recently, concern has surfaced about the accuracy of data recorded in the DAD. This report details the findings of a data validation study conducted by ICES.
Juurlink D, Preyra C, Croxford R, Chong A, Austin P, Tu J, Laupacis A. June 2006
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