140.655.01
Analysis of Longitudinal Data

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
M, W, 10:30 - 11:50am
Lab Times
Monday, 9:00 - 10:20am (01)
Wednesday, 9:00 - 10:20am (02)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Elizabeth Colantuoni
Contact Name
Elizabeth Colantuoni
Frequency Schedule
Every Year
Prerequisite

140.621-624, former 140.601-604, or 140.651-654

Description
Explores 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. Intended for doctoral students in quantitative sciences.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Prepare graphical or tabular displays of longitudinal data that effectively communicate the patterns of scientific interest
  2. Implement and interpret a general linear model to make scientific inferences about the relationship between response and explanatory variables while accounting for the correlation among repeated responses for an individual
  3. Implement and interpret marginal, random effects, or transitional generalized linear models to make scientific inferences when the repeated observations are binary, counts, or non-Gaussian continuous observations
  4. Implement analysis of longitudinal data within SAS or STATA
Instructor Consent
No consent required
Special Comments

The Advanced Topics lab sequence (Monday 9:00 - 10:20 ) is required for Biostatistics students; interested non-Biostatistics students may attend. The Implementation and Interpretation of Analysis of Longitudinal Data (Wednesday 9:00 - 10:20) is highly recommended for all students.