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Methods for Constructing and Assessing Propensity Scores

Methods for Constructing and AssessingPropensity ScoresMelissa M. Garrido, Amy S. Kelley, Julia Paris, Katherine Roza,Diane E. Meier, R. Sean Morrison, and Melissa D. model the steps involved in preparing for and carrying out propensityscore analyses by providing step-by-step guidance and Stata code applied to an empiri-cal , Stata code, and empirical examples are given to illustrate(1) the process of choosing variables to include in the Propensity score; (2) balance ofpropensity score across treatment and comparison groups; (3) balance of covariatesacross treatment and comparison groups within blocks of the Propensity score; (4)choice of matching and weighting strategies; (5) balance of covariates after matching orweighting the sample; and (6) interpretation of treatment effect use data from the Palliative Care for Cancer Patients(PC4C) study, a multisite observational study of the effect of inpatient palliative careon patient health outcomes and health services use, to illustrate the development anduse of a Propensity Scores are one useful tool for accounting for observed differ-ences between treated and comparison groups

harnessing the power of existing data to evaluate health-related treatment effects (Patient-Centered Outcomes Research Institute 2012). ... within blocks of the propensity score; (4) choice of matching and weighting strategies; (5) balance of covariates after matching or weighting the sample by ... propensity score’s distribution can be ...

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