140.608.11
Analysis of Longitudinal Data

Location
East Baltimore
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2025 - 2026
Instruction Method
In-person
Class Time(s)
M, Tu, W, Th, F, 8:30 - 11:50am
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Michael Griswold
Contact Name
Ayesha Khan
Frequency Schedule
Every Year
Prerequisite

Intermediate level biostatistics and epidemiology

Description
Covers statistical models for drawing scientific inferences from longitudinal data. Includes topics such as 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.
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. Use 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. Use 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. Use SAS or STATA to conduct the appropriate longitudinal data analyses
Methods of Assessment
This course is evaluated as follows:
  • 15% Participation
  • 15% Lab Assignments
  • 15% Lab Assignments
  • 15% Lab Assignments
  • 40% Written Assignment(s)
Instructor Consent
No consent required
Special Comments

Students are required to have Stata.

Offered as hybrid course with both an onsite section (140.608.11) and synchronous online section (140.608.49). Please choose the course format you need (either in-person or online) when registering in SIS.