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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

321 views

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.



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Categories:

Biomedical Research

Tags:

Cluster Analysis, ICTR, Linear Models, Statistics
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