Estimating Causal Effects

Description:

Course description

This course will introduce participants to the two main approaches to estimating causal effects from observational data: those based on the assumption of no unmeasured confounding and those that exploit the availability of instrumental variables. The course will focus on settings where the exposure/intervention is time fixed but will also give an introduction to the more general case when exposures/treatments are time-varying (and hence may be affected by time varying confounding).

Learning objectives

To develop an understanding of the assumptions most commonly invoked in causal inference and some practical expertise in applying estimation methods that rely on them.

Cost:

Free

Website and registration:

Register for this course

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis

Back to the training database