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      Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

      Journal of the American Statistical Association
      Informa UK Limited

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          Matching Methods for Causal Inference: A Review and a Look Forward

          (2010)
          When estimating causal effects using observational data, it is desirable to replicate a randomized experiment as closely as possible by obtaining treated and control groups with similar covariate distributions. This goal can often be achieved by choosing well-matched samples of the original treated and control groups, thereby reducing bias due to the covariates. Since the 1970s, work on matching methods has examined how to best choose treated and control subjects for comparison. Matching methods are gaining popularity in fields such as economics, epidemiology, medicine and political science. However, until now the literature and related advice has been scattered across disciplines. Researchers who are interested in using matching methods---or developing methods related to matching---do not have a single place to turn to learn about past and current research. This paper provides a structure for thinking about matching methods and guidance on their use, coalescing the existing research (both old and new) and providing a summary of where the literature on matching methods is now and where it should be headed.
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            Estimation of Regression Coefficients When Some Regressors are not Always Observed

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              Covariate balancing propensity score

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                Author and article information

                Journal
                Journal of the American Statistical Association
                Journal of the American Statistical Association
                Informa UK Limited
                0162-1459
                1537-274X
                November 07 2015
                July 03 2015
                November 07 2015
                July 03 2015
                : 110
                : 511
                : 910-922
                Article
                10.1080/01621459.2015.1023805
                f518cefb-9e13-4c02-909f-c3ef322f5c9b
                © 2015
                History

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