Introduction to Multilevel Analysis for Urban Health Research, 2022

Mon Jun 27 2022 at 09:00 am to Fri Jul 01 2022 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, 2022
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In this Drexel Urban Health Summer Institute weeklong course, learn the fundamentals of multilevel analysis and multilevel models.
About this Event

Instructors:  

Félice Lê-Scherban, PhD, MPH, associate professor, Dornsife School of Public Health, Drexel University

Usama Bilal, MD, PhD, MPH, assistant professor, Dornsife School of Public Health, Drexel University

Ana Diez-Roux, MD, PhD, MPH, dean, Dornsife School of Public Health, Drexel University

Description: 

Multilevel studies and multilevel analysis have been increasingly 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

Prerequisite knowledge: Knowledge of regression analysis (linear, logistic, Poisson) is required for this course. 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

Dates: Monday, June 27 – Friday July 1, 2022

Meeting Times: 9:00 a.m. – 12:00 p.m.

Format: In-person instruction on campus at Drexel University in Philadelphia

Note: Attendees may register to attend online in the lecture portion only (no labs/article discussions) for a reduced registration fee. Attendees who choose to participate in the lecture-only option will still have full access to Blackboard to complete labs on their own, read articles, and review answer keys but will not receive hands-on assistance with labs or group discussion.

Course full price: $800 Early Bird price: $680

Online, lecture-only: $600 Early Bird price: $510

If you are a DSPH student, contact [email protected] for a discount code.

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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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