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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.

Prerequisites
Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

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

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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