User profiles for Peter C. Austin

Peter C Austin

ICES (Institute for Clinical Evaluative Sciences)
Verified email at ices.on.ca
Cited by 106681

A comparison of 12 algorithms for matching on the propensity score

PC Austin - Statistics in medicine, 2014 - Wiley Online Library
Propensity‐score matching is increasingly being used to reduce the confounding that can
occur in observational studies examining the effects of treatments or interventions on outcomes…

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 …

Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

PC Austin - Statistics in medicine, 2009 - Wiley Online Library
The propensity score is a subject's probability of treatment, conditional on observed baseline
covariates. Conditional on the true propensity score, treated and untreated subjects have …

[HTML][HTML] Outcome of heart failure with preserved ejection fraction in a population-based study

RS Bhatia, JV Tu, DS Lee, PC Austin… - … England Journal of …, 2006 - Mass Medical Soc
Background The importance of heart failure with preserved ejection fraction is increasingly
recognized. We conducted a study to evaluate the epidemiologic features and outcomes of …

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in …

PC Austin, EA Stuart - Statistics in medicine, 2015 - Wiley Online Library
The propensity score is defined as a subject's probability of treatment selection, conditional
on observed baseline covariates. Weighting subjects by the inverse probability of treatment …

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. …

Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research

PC Austin - Communications in statistics-simulation and …, 2009 - Taylor & Francis
Researchers are increasingly using the standardized difference to compare the distribution
of baseline covariates between treatment groups in observational studies. Standardized …

A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data

C Van Walraven, PC Austin, A Jennings, H Quan… - Medical care, 2009 - journals.lww.com
Background: Comorbidity measures are necessary to describe patient populations and
adjust for confounding. In direct comparisons, studies have found the Elixhauser comorbidity …

Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model

DS Lee, PC Austin, JL Rouleau, PP Liu, D Naimark… - Jama, 2003 - jamanetwork.com
ContextA predictive model of mortality in heart failure may be useful for clinicians to improve
communication with and care of hospitalized patients.ObjectivesTo identify predictors of …

[HTML][HTML] Rates of hyperkalemia after publication of the Randomized Aldactone Evaluation Study

…, DS Lee, A Kopp, PC Austin… - … England Journal of …, 2004 - Mass Medical Soc
Background The Randomized Aldactone Evaluation Study (RALES) demonstrated that
spironolactone significantly improves outcomes in patients with severe heart failure. Use of …