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Multi-level Analysis: Recognizing the Problem

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Maureen Smith, MD, PhD, MPH (bio)

March 2 2010

1 hour and 30 minutes


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.

View the Presentation Questions View the Presentation Slides


Biomedical Research


Cluster Analysis, ICTR, Linear Models, Statistics
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