Analyzing data after matching

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En provenance du cours de University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
71 notes
À partir de la leçon
Matching and Propensity Scores
An overview of matching methods for estimating causal effects is presented, including matching directly on confounders and matching on the propensity score. The ideas are illustrated with data analysis examples in R.

Rencontrer les enseignants

  • Jason A. Roy, Ph.D.
    Jason A. Roy, Ph.D.
    Associate Professor of Biostatistics
    Department of Biostatistics, Epidemiology, and Informatics

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