Journal of the American Statistical Association Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery

This article presents a new method for optimal matching in observational studies based on mixed integer programming that eliminates the guesswork involved in current optimal matching methods, and offers a controlled and systematic way of improving covariate balance.