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Apr 15, 2026
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HPD 674 - Statistical Methods in Clinical Outcomes and Health Services Research Clinical outcomes research frequently involves the analysis of nonexperimental retrospective databases. Such databases pose a number of statistical challenges, due to their nonexperimental design and various data limitations. This course will review and discuss multivariate methods in clinical outcomes research, focusing on specific issues involved in building and interpreting these models. These issues include causal inference, selection bias, measurement error, missing data problems, multicollinearity, and serial correlation. Clinical outcomes and health services research studies will be reviewed and discussed to illustrate these statistical issues and how they have been addressed in published research. Students will be asked to review and evaluate clinical outcomes and health services research papers, and present their reviews for discussion in class.
3 credits
Grading Letter graded (A, A-, B+, etc.)
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