Course Catalog » Biostatistics 215

Subject: Biostatistics
Course Number: 215
Course Title: Strengthening causal inferences based on observational data
Units: 3
School: Graduate Division
Department: Clinical Research Program

Course Description: The course will define average causal effects in terms of potential outcomes, show when standard regression methods support causal inferences, and show how to estimate and interpret marginal causal effects. It will also cover propensity scores, for rare outcomes but common binary exposures; marginal structural models, for time-dependent treatments with time-dependent confounder/mediators; new-user designs; instrumental variables, for data with important unmeasured confounders.
Prerequisites: EPIDEMIOL 203 BIOSTAT 208 BIOSTAT 209
Restrictions: Should have a working understanding of the following: confounding, mediation, and interaction; directed acyclic graphs; linear, logistic, Cox, and repeated measures regression models; how to implement and check these models in Stata; and basic data management skills.
Activities: Lecture, Laboratory, Project

Instructor of Record: T. Newman
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Spring
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No