Multi-level Analysis: Recognizing the Problem
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Maureen Smith, MD, MPH, PhD (bio)March 2, 2010
1 hour and 30 minutes
323 Recorded video views
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What is Multi-Level Analysis? This is an introductory session on multi-level models, also called hierarchical linear models and random effects models. (Viewers should be familiar with simple linear regression.) The goal of this session is to understand:
- The nature of clustering in data
- Why simple linear regression is inappropriate when clustering exists
- How to model clustering within data using fixed and random effects
Since 2004, Dr. Smith has conducted a shortened version of this workshop on Multi-Level Modeling at the annual national meeting for health services researchers. We are pleased to offer this workshop at the University of Wisconsin.