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
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)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
140.621-624, former 140.601-604, or 140.651-654
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:
- Prepare graphical or tabular displays of longitudinal data that effectively communicate the patterns of scientific interest
- 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
- 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
- Implement analysis of longitudinal data within SAS or STATA
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.