Propensity‐score methods are increasingly being used to reduce the impact of treatment‐
selection bias in the estimation of treatment effects using observational data. Commonly …

OBJECTIVE: I conducted a systematic review of the use of propensity score matching in the
cardiovascular surgery literature. I examined the adequacy of reporting and whether …

Propensity score methods are used to reduce the effects of observed confounding when
using observational data to estimate the effects of treatments or exposures. A popular …

Propensity score methods are increasingly being used to estimate causal treatment effects
in observational studies. In medical and epidemiological studies, outcomes are frequently …

The propensity score is the probability of treatment assignment conditional on observed
baseline characteristics. The propensity score allows one to design and analyze an …

In a study comparing the effects of two treatments, the propensity score is the probability of
assignment to one treatment conditional on a subject's measured baseline covariates …

Propensity score methods are increasingly being used to reduce or minimize the effects of
confounding when estimating the effects of treatments, exposures, or interventions when …

Propensity-score matching is increasingly being used to estimate the effects of treatments
using observational data. In many-to-one (M: 1) matching on the propensity score, M …

The propensity score—the probability of exposure to a specific treatment conditional on
observed variables—is increasingly being used in observational studies. Creating strata in …

There is increasing interest in estimating the causal effects of treatments using observational
data. Propensity-score matching methods are frequently used to adjust for differences in …