subclassification matching

8 Matching Methods for Causal Inference Using R. Nearest Neighbor Matching, Optimal Matching, Full Matching, Genetic Matching, Exact Matching, Coarsened Exact Matching, Subclassification, Cardinality Matching

8 Matching Methods for Causal Inference Using R

Matching for causal inference is based on the idea that two groups of subjects can be matched on some or all characteristics to see if certain interventions affect outcomes in one group more than in another. In this tutorial, we will explore 8 different matching methods for causal inference using R. Causal inference has well-established …

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Subclassification Propensity Score Matching Using Python Package Causal Inference. Propensity score estimation, subclassification matching, and treatment effect estimation

Subclassification Propensity Score Matching Using Python Package Causal Inference

Subclassification matching in causal inference stratifies the propensity scores into bins, and the treatment and the control units within the bins are compared to get the treatment effects estimation. In this tutorial, we will talk about how to do subclassification propensity score matching (PSM) using the Python CausalInference package. To learn how to do subclassification matching using …

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