June 2022 (Revised July 2022)
Module Note

Causal Inference

By: Iavor Bojinov, Michael Parzen and Paul J. Hamilton

Format:Print
| Language:English
| Pages:10

Abstract

This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of confounding variables. Then it walks through the steps to desiging an experiment, including a discussion of how to calculate the power of a test.

Keywords

Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science

Citation

Bojinov, Iavor, Michael Parzen, and Paul J. Hamilton. "Causal Inference." Harvard Business School Module Note 622-111, June 2022. (Revised July 2022.)