Using a small example as an illustration, this article reviews multivariate matching from the
perspective of a working scientist who wishes to make effective use of available methods …

In this second edition of Counterfactuals and Causal Inference, completely revised and
expanded, the essential features of the counterfactual approach to observational data …

Importance Difference in breast cancer survival by race is a recognized problem among
Medicare beneficiaries. Objective To determine if racial disparity in breast cancer survival is …

In this article, we propose a general framework for distribution-free nonparametric testing in
multi-dimensions, based on a notion of multivariate ranks defined using the theory of …

In a well-conducted, slightly idealized, randomized experiment, the only explanation of an
association between treatment and outcome is an effect caused by the treatment. However …

Two-sample tests for multivariate data and especially for non-Euclidean data are not well
explored. This article presents a novel test statistic based on a similarity graph constructed …

The Affordable Care Act's Hospital Readmissions Reduction Program (HRRP) penalizes
hospitals based on excess readmission rates among Medicare beneficiaries. The aim of the …

An algorithm is proposed for optimally matching to controls an optimally chosen subset of
treated subjects. The algorithm makes three optimal decisions at once:(i) the number of …

Background: Differences in colon cancer survival by race are a recognized problem among
Medicare beneficiaries. Objective: To determine to what extent the racial disparity in survival …

In multivariate matching, fine balance constrains the marginal distributions of a nominal
variable in treated and matched control groups to be identical without constraining who is …