… –Meier survival curves in the matched sample, using Cox … in the matched sample, thereby
failing to account for the matched … reporting of studies that employ propensity-score matching. …

… propensity scores, and from matching to analyses. We also explain generalized propensity
scoring … Lastly, we discuss the advantages and disadvantages of propensity score methods. …

… to minimize confounding in observational studies. However, matching simultaneously on
few … An alternative method is matching based on the propensity score (PS) [2]. The PS is the …

… of propensity scores of raw and matched data. Matched control units used for propensity
score matching have a more similar distribution to matched treated units compared with raw …

… The authors used propensity score matching to create 605 matched … propensity scores—are
then used to adjust for differences between groups. In biomedical studies, propensity scores …

… in the present observational study, we developed a propensity score-matching analysis.
Thus, 138 patients undergoing AVR by way of a RT (RT group) were matched to a control group …

… treatment regimen at discharge and the study outcomes. Given the observational nature of …
assigned in the study population and therefore we used propensity-score matching to reduce …

… Section three describes in which context matching is a valid approach, considering …
matching estimators—namely, the estimation of the propensity score, the selection of a matching …

… To overcome selection bias, we performed 1:1 match using propensity score matching … study
to compare the outcomes between different surgical procedures. Propensity score matching …

… studies by reducing selection bias. In this article we concentrate on how to conduct propensity
score matching … Our goal is to provide information that will bring propensity score matching …