Logistic Regression

CT Score

1500

#0 of 0 in SPH BS

Difficulty

—/10

Workload

—h/wk

Median grade

—

from grade distribution

Would take again

—

n = 0 verified

Grade distribution

No distribution published for this course.

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

SPHBS 723 or 730. - This course provides basic knowledge of logistic regression for dichotomous outcomes, extensions of logistic regression to outcomes with a greater number of categories, and to regression models for count outcomes. The course focuses on prediction of categorical and count outcomes with emphasis on the use of maximum likelihood to determine estimates and test hypotheses, use of descriptive and diagnostic plots, and use of the SAS (or R) statistical package to perform analyses→SPH BS 819→unlocks 0 courses

No mapped courses require this one yet. See on the map →

Study groups

0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.