140.608.11 Analysis of Longitudinal Data
- Department:
- Biostatistics
- Term:
- Summer Inst. term
- Credits:
- 2 credits
- Academic Year:
- 2019 - 2020
- Location:
- East Baltimore
- Dates:
- Mon 06/17/2019 - Fri 06/21/2019
- Class Times:
-
- M Tu W Th F, 8:30 - 11:50am
- Auditors Allowed:
- No
- Grading Restriction:
- Letter Grade or Pass/Fail
- Contact:
- Ayesha Khan
- Course Instructor :
- Resources:
- Prerequisite:
Intermediate level biostatistics and epidemiology
- 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.
- 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
- 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
- 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
- Use SAS or STATA to conduct the appropriate longitudinal data analyses
- Methods of Assessment:
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
- Instructor Consent:
No consent required
- Special Comments:
Enrollment limited; students are required to bring a laptop to class, with Stata installed.