Longitudinal Methods
This course covers longitudinal research design, data management and analysis, and ethical issues in healthcare research including health equity, social determinants of health (SDOH), and global health. Major analytic topics include multilevel modeling and structural equation modeling approaches to the analysis of longitudinal data. Generalized modeling approaches to analysis of longitudinal categorical data as well as survival analysis are also introduced. Relationships between design and analysis, assumptions and limitations of modeling approaches, and strategies to maintain scientific integrity are discussed. Assignments provide the student with hands-on data analytic experience using statistical software.
Topics
- multilevel modeling and structural equation modeling approaches to the analysis of longitudinal data
Topics explicitly listed in official catalogue description
Prerequisites & course information
002433
Sources
- Course catalogue ↗2026-2027