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Journal of Clinical Epidemiology|May 3, 2005
Conventional models overestimate the statistical significance of volume-outcome associations, compared with multilevel modelsDavid R Urbach, Peter C AustinStatistics in Medicine|October 13, 2005
A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin usePeter C Austin, Muhammad M MamdaniMedical Care|February 13, 2020
Estimating the Net Benefit of Improvements in Hospital Performance: G-Computation With Hierarchical Regression ModelsPeter C Austin, Douglas S LeeAcademic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine|August 31, 2017
Rate Control With Beta-blockers Versus Calcium Channel Blockers in the Emergency Setting: Predictors of Medication Class Choice and Associated HospitalizationClare L Atzema, Peter C AustinJournal of Clinical Epidemiology|February 24, 2015
The number of subjects per variable required in linear regression analysesPeter C Austin, Ewout W SteyerbergStatistical Methods in Medical Research|September 3, 2015
Estimating the effect of treatment on binary outcomes using full matching on the propensity scorePeter C Austin, Elizabeth A StuartStatistics in Medicine|April 2, 2004
Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analysesPeter C Austin, Lawrence J BrunnerMedical Decision Making : an International Journal of the Society for Medical Decision Making|January 28, 2005
Optimal statistical decisions for hospital report cardsPeter C Austin, Geoffrey M AndersonPharmacoepidemiology and Drug Safety|March 26, 2009
The concept of the marginally matched subject in propensity-score matched analysesPeter C Austin, Douglas S LeeJournal of Clinical Epidemiology|November 30, 2004
Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortalityPeter C Austin, Jack V TuPageof 107