Comparative Effectiveness Analysis with Routine Care Data

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Course Details

Next Start Date:

January 2025

This course can only be taken as part of the Certificate in Data Science in Health Economics & Outcomes Research.

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About this Course


In this course, you’ll learn introductory principles of causal inference, which is the basis for comparative effectiveness research. You’ll also learn about a wide range of causal inference methods, the underlying differences, and applications in health economic and outcomes research.

What You’ll Learn

  • Introductory concepts in causality, how to choose among covariates, and regressions for outcomes
  • How to analyze health care expenditure data
  • Regressions for utilizations, count data and survival outcomes
  • Methods for evaluating policy and estimating causal treatment effects and projections using real-world data
  • How to understand and analyze longitudinal or panel data
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