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ADVANCED REGRESSION METHODS FOR POPULATION HEALTH

BMI/POPHLTH 651
Course Description

Extension of regression analysis to observational data with unequal variance, unequal sampling and propensity weights, clusters and longitudinal measurements, using different variance structures, mixed linear models, generalized linear models and GEE. Matrix notation will be introduced and underlying mathematical and statistical principles will be explained. Examples use data sets from ongoing population health research.

Prerequisties
Satisfies

This course does not satisfy any prerequisites.

Credits

3

Offered

Fall

Grade Point Average
3.65

4.83% from Historical

Completion Rate
100%

0.92% from Historical

A Rate
40%

-13.73% from Historical

Class Size
10

No change from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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