Introduction to Multilevel Analysis for Urban Health Research

Mon Jun 26 2023 at 09:00 am to Fri Jun 30 2023 at 12:00 pm

Drexel University Dornsife School of Public Health | Philadelphia

Drexel Urban Health Collaborative
Publisher/HostDrexel Urban Health Collaborative
Introduction to Multilevel Analysis for Urban Health Research
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This online and in-person class will teach the fundamentals of multilevel studies and multilevel analysis for urban health research.
About this Event

Multilevel studies and multilevel analysis are widely used in the public health field. This course will discuss the rationale for multilevel studies and multilevel analysis in public health as well as differences with other study designs and other analytical approaches. Although the course will not be heavily mathematical, the basics of fitting multilevel models for different types of outcomes as well as the interpretation of estimates obtained from multilevel models will be reviewed and practiced. Emphasis will be on conceptual understanding, application and interpretation of multilevel analysis in the context of urban health research. The course will also review and critique empirical applications in urban health research and discuss conceptual and methodological challenges in using multilevel analysis.

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: Félice Lê-Scherban, PhD, MPH, assistant professor, Drexel Dornsife School of Public Health; Usama Bilal, MD, PhD, MPH, assistant professor, Drexel Dornsife School of Public Health; and Ana Diez Roux, MD, PhD, MPH, dean of Drexel Dornsife School of Public Health

Course Schedule: Monday, June 26 - Friday, June 30, 9:00 a.m. - 12:30 p.m. EST

Prerequisite Knowledge: Knowledge of regression analysis (linear, logistic, Poisson) is required. Familiarity conducting regression analysis in SAS, Stata, or R software is recommended for this course.

Technical Requirements: Participants will need access to SAS, Stata, or R software for the course. R free software is available for participants to install on their computers.

Continuing Education Credits: 1.5 CEU or 15 CPH

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Event Venue & Nearby Stays

Drexel University Dornsife School of Public Health, Nesbitt Hall, Philadelphia, United States

Tickets

USD 510.00 to USD 680.00

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