Measurement Causal Inference Bootcamp

Summary

This module introduces some jargon for discussing the data we will analyze, and discusses the important problem of This module looks at some of the issues with sample sizes that come up in experiments. Part of Duke University's Often we want to know the effects of a policy on long term outcomes, lifetime education or how long people live. In this module we look at the problem of using the findings of an experiment to help predict the impact of a new policy that is not ... me on M E D I U M: towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ... Here we discuss matching, a concept similar to regression analysis. Matching is often used when computing This module discusses balance checks as one method of justifying the as-if randomization assumption. In this video, I introduce our next assumption: In this module we introduce the concept of correlation, and then discuss the famous mantra of