Advisory Prerequisites: Strong quantitative background. Such as Biostat 601, Biostat 602, Biostat 650, and Biostat 651 or equivalents for biostatistics students and Biostat 512, Biostat 521, Biostat 522 and Biostat 523 or equivalents for non-biostatistics students
Description: Tracking and understanding the reasons for health disparity due to social, economic, and environmental disadvantages, using appropriate design, measurement, and analytical techniques, is important for developing evidence-based strategies to alleviate hardships. This course covers several statistical methodological issues useful in health disparity research.
Learning Objectives: Understand historical perspectives on health disparities and determinants of health
Understand various measures of health disparity and methods for constructing inferences about them
Understand methods for analyzing data from complex surveys
Understand methods for assessing psychometric properties of measurements used in health disparity research across subpopulations through measurement error and Item response theory modeling
Understand statistical techniques to assess the reasons for health disparity using regression, propensity score and causal inferential techniques
