Introduction to Correlated Data Analysis
Session
Eight Week - Second
Class Number
5250
Career
Graduate
Units
1 units
Grading
Graded
Description
This course covers a broad overview of statistical models and estimation methods for outcome variables (normal and non-normal) that are clustered or measured repeatedly in time or space. The focus is on applications and computer software methods for correlated regression models, including ANOVA based methods, hierarchical linear models, etc.

Corequisites: MPBH 421 (or prior completion of a two-semester course sequence in Biostatistics) and one course in statistical computing such as MPBH 412.
Add Consent
Department Consent Required
Enrollment Requirements
Restricted to Graduate Parkinson School of Health Sciences and Public Health students
Class Actions
Class Details
Instructor(s)
Bill Adams
Meets
Th 7:00PM - 8:30PM
Dates
03/08/2025 - 05/03/2025
Room
Online
Instruction Mode
Online
Campus
Online Campus
Location
Online Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
5
Seats Open
20
Class Capacity
25
Wait List Total
0
Wait List Capacity
0