2009 Epidemiology/Biostatistics Summer Institute:

Multilevel Models

Instructor:  Elizabeth Colantuoni

Course Developed by:  Elizabeth Colantuoni and Francesca Dominici and Michael Griswold

Course Information:  June 29 to July 3, 1:30 to 3:00 pm, W2015

Computer Lab: W3017 reserved for our course from 3-5pm, Stata 10 is available

Course Evaluation:  Students will be evaluated based on 3 short quizzes and one homework assignment

Course Description:  This course will give 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 aggegration: 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. In this course, we will focus on the main ideas and on examples of multi-level models from public health research. Students will learn to formulate their substantive questions in terms of a multilevel model and to interpret the results of basic analyses. Previous experience with regression analysis is required.

Lectures

Homework

You should email me your solution by no later than July 22nd.

Assignment (Word version) here