Methods II: Extensions to Regression

This course is designed to equip students with the skills to navigate and analyze datasets of complex structures commonly encountered in biomedical research. The first half of the course will provide a foundation for statistical thinking in clinical and population health research involving longitudinal data. Topics will range from exploratory analysis, study design considerations, covariance structures, and modeling approaches for longitudinal data, including marginal and mixed effects generalized linear models for both continuous and categorical outcomes. Data and examples will come from medical/pharmaceutical applications, public health and social sciences. The second half of the course will provide a survey of advanced statistical methods for modeling and analyzing data of complex structures.Multilevel data structures are found in longitudinal studies, clustered designs, and many other settings where data are structured at multiple levels of aggregation.