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Overview: This paper from SAS Institute demonstrates the use of PROC Logistic in creating propensity scores to address potential treatment selection bias. In this, example using a pharmacy claims database, this method evaluates the probability of patients being included in five treatment groups and calculates weights based on factors hypothesized to influence treatment selection. A propensity score-weighted regression model is then fitted to compare the outcome of adherence between groups and to study the possible predictors of adherence.
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