2023 - Research.com Medicine in Canada Leader Award
2016 - Fellow of the American Statistical Association (ASA)
His primary areas of investigation include Statistics, Propensity score matching, Econometrics, Observational study and Cohort study. His Propensity score matching research includes themes of Matching, Estimator, Confounding and Multivariate analysis. His work in Econometrics tackles topics such as Segmented regression which are related to areas like Proper linear model.
His studies in Observational study integrate themes in fields like Relative risk, Outcome and Pharmacoepidemiology. His Cohort study study combines topics from a wide range of disciplines, such as Demography, Surgery, Cohort and Emergency medicine. Peter C. Austin studied Covariate and Weighting that intersect with Inverse probability and Causal inference.
Peter C. Austin mostly deals with Internal medicine, Statistics, Retrospective cohort study, Emergency medicine and Cohort study. His biological study spans a wide range of topics, including Surgery and Cardiology. His Statistics research focuses on Econometrics and how it connects with Linear regression.
The Retrospective cohort study study which covers Confidence interval that intersects with Odds ratio. His work deals with themes such as Relative risk and Incidence, which intersect with Cohort study. Peter C. Austin has researched Propensity score matching in several fields, including Matching, Observational study, Survival analysis and Confounding.
Internal medicine, Emergency medicine, Statistics, Cardiology and Retrospective cohort study are his primary areas of study. The concepts of his Emergency medicine study are interwoven with issues in Psychological intervention, Health services research, Emergency department and Referral. His study in Covariate, Observational study and Propensity score matching is done as part of Statistics.
His Covariate research integrates issues from Outcome and Subdistribution hazard. His Observational study research includes themes of Matching, Confounding and Hazard ratio. The Retrospective cohort study study combines topics in areas such as Diabetes mellitus, Relative risk, Confidence interval, Guideline and Cohort.
His main research concerns Internal medicine, Propensity score matching, Proportional hazards model, Statistics and Hazard ratio. His Cardiology research extends to the thematically linked field of Internal medicine. The subject of his Propensity score matching research is within the realm of Surgery.
His work carried out in the field of Proportional hazards model brings together such families of science as Econometrics, Survival function, Competing risks, Regression analysis and Subdistribution hazard. His work in the fields of Data analysis and Imputation overlaps with other areas such as Mean value, Statistical software and Statistical analyses. He interconnects Observational study, Covariate, Time-varying covariate, Event and Matching in the investigation of issues within Survival analysis.
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An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Peter C. Austin.
Multivariate Behavioral Research (2011)
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
Peter C Austin.
Statistics in Medicine (2009)
Outcome of heart failure with preserved ejection fraction in a population-based study.
R. Sacha Bhatia;Jack V. Tu;Jack V. Tu;Douglas S. Lee;Peter C. Austin.
The New England Journal of Medicine (2006)
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
Peter C. Austin;Elizabeth A. Stuart.
Statistics in Medicine (2015)
Rates of Hyperkalemia after Publication of the Randomized Aldactone Evaluation Study
David N. Juurlink;Muhammad M. Mamdani;Douglas S. Lee;Alexander Kopp.
The New England Journal of Medicine (2004)
Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model.
D.S. Lee;P.C. Austin;J.L. Rouleau;P.P. Liu.
A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data.
Carl van Walraven;Peter C. Austin;Alison Jennings;Hude Quan.
Medical Care (2009)
Introduction to the Analysis of Survival Data in the Presence of Competing Risks.
Peter C. Austin;Douglas S. Lee;Jason P. Fine.
A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
Peter C. Austin.
Statistics in Medicine (2008)
A population-based study of the drug interaction between proton pump inhibitors and clopidogrel
David N. Juurlink;Tara Gomes;Dennis T. Ko;Dennis T. Ko;Paul E. Szmitko.
Canadian Medical Association Journal (2009)
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