Propensity Score Matching - Statpower
Propensity Score Matching - Statpower
Propensity Score Matching - Statpower
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IntroductionModeling the CovariatesSubclassification<strong>Matching</strong>Balancing <strong>Score</strong>sThe <strong>Propensity</strong> <strong>Score</strong><strong>Matching</strong> MethodsUsing <strong>Propensity</strong> <strong>Score</strong>s – A General StrategyAn ExampleOverviewDeciding on Relevant CovariatesUsing propensity scores, in practice, involves several steps:1 Decide on the relevant covariates X2 Develop a model for predicting Pr(T = 1) from X3 Obtain sample propensity scores ê(x) from the model4 Use a matching procedure to obtain samples with T = 1and T = 0 that are matched on ê.5 Assess the success of the matching procedure6 If the matching procedure has not been successful, go backto step 2 and update the model, otherwise proceed7 Perform the desired parametric analysis on thepreprocessed (matched) dataMultilevel<strong>Propensity</strong> <strong>Score</strong> <strong>Matching</strong>
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