Propensity score matching spss 239/23/2023 ![]() ![]() In a simulation, we varied unmeasured confounding, presence of treatment effect heterogeneity, and the prevalence of treatments and compared each method's bias, variance, and mean squared error (MSE) of the treatment effect. We compared this methodology with two existing approaches-construction of matched cohorts through a common-referent group and a pairwise match for each possible contrast. Methods: We developed a technique that estimates generalized propensity scores and then creates 1:1:1 matched sets. We sought to compare three treatment groups simultaneously by creating 1:1:1 propensity score-matched cohorts. For many conditions, clinicians can benefit from comparing the safety and effectiveness of three or more appropriate treatment options. Background: Nonrandomized pharmacoepidemiology generally compares one medication with another.
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