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The American Journal of Emergency Medicine|July 20, 2010
ED triage of patients with acute myocardial infarction: predictors of low acuity triageClare L Atzema, Peter C Austin, Jack V Tu, et al.Medical Care|July 22, 2005
The impact of under coding of cardiac severity and comorbid diseases on the accuracy of hospital report cardsPeter C Austin, Jack V Tu, David A Alter, et al.Plos One|December 1, 2022
Validating emergency department cardioversion procedures in provincial administrative data in Ontario, CanadaClare L Atzema, Ian G Stiell, Alice S Chong, et al.Annals of Emergency Medicine|January 23, 2009
Emergency department triage of acute myocardial infarction patients and the effect on outcomesClare L Atzema, Peter C Austin, Jack V Tu, et al.Intensive Care Medicine|July 29, 2018
Intensive care utilization following major noncardiac surgical procedures in Ontario, Canada: a population-based studyAngela Jerath, Andreas Laupacis, Peter C Austin, et al.Journal of the American College of Cardiology|August 9, 2003
Waiting times, revascularization modality, and outcomes after acute myocardial infarction at hospitals with and without on-site revascularization facilities in CanadaDavid A Alter, Jack V Tu, Peter C Austin, et al.Medical Care|December 19, 2001
Factoring socioeconomic status into cardiac performance profiling for hospitals: does it matter?David A Alter, Peter C Austin, C David Naylor, et al.CMAJ : Canadian Medical Association Journal = Journal De L'Association Medicale Canadienne|October 22, 2008
Factors associated with the use of evidence-based therapies after discharge among elderly patients with myocardial infarctionPeter C Austin, Jack V Tu, Dennis T Ko, et al.Biometrical Journal. Biometrische Zeitschrift|July 11, 2012
Regression trees for predicting mortality in patients with cardiovascular disease: what improvement is achieved by using ensemble-based methods?Peter C Austin, Douglas S Lee, Ewout W Steyerberg, et al.Scientific Reports|June 6, 2022
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressurePeter C Austin, Frank E Harrell, Douglas S Lee, et al.Pageof 137