Propensity Score Analysis in R with Nearest Neighbor, Optimal Pair, and Optimal Full Matching
ā If you would like to support, consider buying me a ko-fi ā: https://ko-fi.com/statsguidetree š¤ For one-on-one tutoring or consultation services email me [email protected] š For rcode and dataset: https://gist.github.com/musa5237 Tutorial video going over Propensity Score Analysis and Matching in R. General description of Causal Inferences with Propensity Score Analysis and how it compares to Randomized Control Trials is provided. Also reviewed is how to generate Propensity Scores and use the matching methods Nearest Neighbor Matching, Optimal Pair Matching, and Optimal Full Matching (also known as Full Matching) with MatchIt package. In addition, Propensity Score weighted regression models i.e. ANCOVA are reviewed. The dataset used is the College Scorecard dataset from the U.S. Department of Education for academic year 2015. The link to the data source is provided below. Download the zip file next to the access URL row. The file used is for the 2014-15 academic year. However, the data may have changed since I last downloaded it.
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