… As we move to consider the corresponding analyses when using propensity-score matching
in the presence of competing risks, we suggest that estimating the relative effect of treatment …

… As compared with adjusting for confounders in a regression model, matching on confounders
followed by a stratified analysis in case-control studies can improve statistical efficiency by …

… Therefore, we opted for a cohort study with propensity score-matched analysis to balance
the … Even after propensity score-matched analysis, a high GBRS was significantly associated …

… analysis was carried in 50 413 patients with adequate COVID-19 vaccination who were
propensity score matched to … All differences between the 2 groups were balanced after matching (…

… In logistic regression analysis, the aforementioned association between cancer history
and mortality remained robust. In the propensity score-matched patients, we also …

… operative risk. As such, the propensity-score matched analysis only included relatively
high-risk sAVR patients, excluding the younger, lower risk patients with few co-morbidities. Our …

… This study provides estimates of the risk of coronavirus disease 2019 (COVID-19)-… score
matching based on background demographic and medical factors. Pregnancy emerged as a risk …

… higher in the propensity score matched analysis, mainly reflecting the differences between
the two reference groups in the main analyses and the propensity score matched analyses. …

… Results For our primary analysis, we matched 6972 pairs of statin users and nonusers…
analysis, we estimated the risk for cataract in relation to statin use in the propensity score–matched …

Background Data for the risk of any solid cancer in patients with polycystic kidney disease
are scarce. Therefore, we did a nationwide cohort study in Taiwan to establish the risk of …