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Journal 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 TuCirculation|August 24, 2005
Impact of the pravastatin or atorvastatin evaluation and infection therapy-thrombolysis in myocardial infarction 22/Reversal of Atherosclerosis with Aggressive Lipid Lowering trials on trends in intensive versus moderate statin therapy in Ontario, CanadaPeter C Austin, Muhammad M MamdaniStatistics in Medicine|August 5, 2014
The use of bootstrapping when using propensity-score matching without replacement: a simulation studyPeter C Austin, Dylan S SmallStatistics in Medicine|September 5, 2013
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothersPeter C Austin, Ewout W SteyerbergStatistics in Medicine|October 23, 2018
Propensity-score matching with competing risks in survival analysisPeter C Austin, Jason P FinePageof 136