This course will review the fundamental principles of multilevel analysis and discuss how it differs from other analytical approaches. The type of questions for which multilevel analysis is most useful will be discussed. Students will learn how to specify, fit, and interpret multilevel models.

 

Prior knowledge of linear regression is required. Emphasis will be on conceptual understanding, application and interpretation. Examples from urban health research will be discussed. Conceptual and methodological challenges in using multilevel analysis will be reviewed. This course may be of interest to public health professionals, researchers, and students who conduct or interpret quantitative research and have some familiarity using statistical software to conduct and interpret simple analyses.After completing this course, participants will be able to: Understand the fundamentals of multilevel studies and multilevel analysis and their differences with other study designs and analytical approaches. Fit multilevel models and interpret estimates derived from them. Be familiar with applications of multilevel analysis in urban health research. Understand the strengths and limitations of multilevel analysis for urban health research

Instructors: Felice Le-Scherban, PhD, MPH, assistant professor, Drexel Dornsife School of Public Health; Usama Bilal, MD, PhD, MPH, assistant research professor, Drexel Dornsife School of Public Health; and Ana Diez Roux, MD, PhD, MPH, dean of Drexel Dornsife School of Public Health.

 

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