A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003

PC Austin - Statistics in medicine, 2008 - Wiley Online Library
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 …

[HTML][HTML] Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement

PC Austin - The Journal of thoracic and cardiovascular surgery, 2007 - Elsevier
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 …

Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis

PC Austin - Statistics in medicine, 2016 - Wiley Online Library
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 …

The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments

PC Austin - Statistics in medicine, 2014 - Wiley Online Library
Propensity score methods are increasingly being used to estimate causal treatment effects
in observational studies. In medical and epidemiological studies, outcomes are frequently …

An introduction to propensity score methods for reducing the effects of confounding in observational studies

PC Austin - Multivariate behavioral research, 2011 - Taylor & Francis
The propensity score is the probability of treatment assignment conditional on observed
baseline characteristics. The propensity score allows one to design and analyze an …

Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies

PC Austin - Pharmaceutical statistics, 2011 - Wiley Online Library
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 …

The performance of different propensity score methods for estimating marginal hazard ratios

PC Austin - Statistics in medicine, 2013 - Wiley Online Library
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 …

Statistical criteria for selecting the optimal number of untreated subjects matched to each treated subject when using many-to-one matching on the propensity score

PC Austin - American journal of epidemiology, 2010 - academic.oup.com
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 performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the …

PC Austin, EA Stuart - Statistical methods in medical …, 2017 - journals.sagepub.com
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 …

Applying propensity score methods in clinical research in neurology

PC Austin, AYX Yu, MV Vyas, MK Kapral - Neurology, 2021 - AAN Enterprises
Propensity score–based analysis is increasingly being used in observational studies to
estimate the effects of treatments, interventions, and exposures. We introduce the concept of …