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140.607.11
Multilevel Models

Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2012 - 2013
Instruction Method
TBD
Start Date
Monday, July 2, 2012
End Date
Friday, July 6, 2012
Class Time(s)
M, Tu, W, Th, F, 1:30 - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

Previous experience with regression analysis is required.

Description
Gives an overview of "multilevel statistical models" and their application in public health and biomedical research. Multilevel models are regression models in which the predictor and outcome variables can occur at multiple levels of aggregation: for example, at the personal, family, neighborhood, community and regional levels. They are used to ask questions about the influence of factors at different levels and about their interactions. Multilevel models also account for clustering of outcomes and measurement error in the predictor variables. Students focus on the main ideas and on examples of multi-level models from public health research. Students learn to formulate their substantive questions in terms of a multilevel model, to fit multilevel models using Stata during laboratory sessions and to interpret the results.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Prepare graphical and tabular displays of multilevel data that effectively communicate the patterns of scientific interests
  2. Conduct statistical analyses of clustered data by use of multilevel models
  3. Interpret parameters of multilevel statistical models
  4. Fit multilevel models by use of statistical software packages