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In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
https://en.wikipedia.org/wiki/Propensity_score_matchingIn the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
gking.harvard.edu/files/gking/files/psnot.pdfDec 16, 2016 ... the other available matching methods, propensity scores have many other ... We
trace the PSM paradox to the particular way propensity scores ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144483/Jun 8, 2011 ... The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular characteristics of a randomized controlled trial.
bayes.cs.ucla.edu/BOOK-09/ch11-3-5-final.pdf11.3.5 Understanding Propensity Scores. The method of propensity score (
Rosenbaum and Rubin 1983), or propensity score matching (PSM), is the most ...
www.stat.berkeley.edu/~census/weight.pdfRegressions can be weighted by propensity scores in order to reduce bias. How-
ever, weighting is ... If the conditions are right, propensity scores can be used.
www.mc.vanderbilt.edu/crc/workshop_files/2008-04-11.pdfApr 11, 2008 ... Purpose of Propensity Scores. Can produce apples-to-apples comparison under
some nonrandomized conditions. Provides a way to ...
betterevaluation.org/en/evaluation-options/propensity_scoresNov 5, 2014 ... The propensity scores of all units in the sample, both beneficiaries and non-
beneficiaries, are used to create a comparison group with which the ...
www.preventionresearch.org/.../SPR-Propensity-pc-workshop-slides.pdfPropensity scores are an increasingly common tool for estimating the effects of ...
the use of propensity scores to estimate complier average causal effects.
stats.stackexchange.com/.../how-are-propensity-scores-different-from-adding -covariates-in-a-regression-andMar 22, 2011 ... How are propensity scores different from adding covariates in a regression, and
when are they preferred to the latter?
circ.ahajournals.org/content/115/17/2340May 1, 2007 ... Propensity scores have been used to reduce bias in observational studies in
many fields and are becoming more widely used in cardiovascular ...