Applied Causial Inference in Health Research

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

((SPH BS 723 OR SPH BS 730) AND (SPH BS 852 OR SPH EP 854)) or consent of instructor. The course requires experience with logistic regression and survival analysis, and SAS or R coding. - This is an advanced statistics course, focused on application of causal inference methods in medical research. Topics covered include counterfactual outcomes, causal diagrams, mediation analysis, instrumental variable, and g- methods to deal with time-varying confounding. This course includes lectures, computer instructions, and discussion of reading material→SPH BS 807→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.