Outcomes Analysis

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Course Description

This course introduces and develops methods for conducting empirical research that address clinical and policy questions that are not suitable for randomized trials. Conceptual and applied models of causal inference guide the design of empirical research. Econometric and statistical models are used to conduct health outcomes research which use large existing medical, survey, and other databases Problem sets emphasize hands-on data analysis and application of methods, including re-analyses of well-known studies. This is a project-based course designed for students pursuing research training. Prerequisites: one or more courses in probability, and statistics or biostatistics.

Cross Listed Courses

Grading Basis

MOP - Medical Option (Med-Ltr-CR/NC)

Min

3

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

BIOMEDIN251 is a completion requirement for: