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Graduate Summer Institute of Epidemiology and Biostatistics

Analysis of Longitudinal Data

June 20-24, 2016
8:30 a.m. - 12:00 p.m.
2 credits
Course Number: 140.608.11

 

Course Instructor:

·         Michael Griswold

Description:

Covers statistical models for drawing scientific inferences from longitudinal data. Topics include longitudinal study design; exploring longitudinal data; linear and generalized linear regression models for correlated data, including marginal, random effects, and transition models; and handling missing data. Enrollment limited; students are required to bring a laptop to class, with Stata 11 or 12 installed. Contact Ayesha Khan (akhan@jhsph.edu) to find out how to get STATA through the Stata GRADPLAN.

Student Evaluation: Student evaluation based on analysis of a longitudinal data set, presentation of the results, and a written scientific report of the analysis methods and results

Learning Objectives: Upon successfully completing this course, students will be able to:

Prerequisites: Intermediate level biostatistics and epidemiology

Grading Options: Letter Grade or Pass/Fail

Course Materials: Provided in class

Recommended Textbook: Multilevel and Longitudinal Modeling Using Stata, Third Edition, Sophia Rabe-Hesketh and Anders Skrondal