Showing results (231-240 of 1,055) with videos related to
Sort By:
Pageof 106
Medical Care|September 17, 2011
The mortality risk score and the ADG score: two points-based scoring systems for the Johns Hopkins aggregated diagnosis groups to predict mortality in a general adult population cohort in Ontario, CanadaPeter C Austin, Carl van WalravenStatistics in Medicine|January 20, 2017
Accounting for competing risks in randomized controlled trials: a review and recommendations for improvementPeter C Austin, Jason P FineStatistics in Medicine|January 30, 2004
Estimating linear regression models in the presence of a censored independent variablePeter C Austin, Jeffrey S HochStatistics in Medicine|September 11, 2012
Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression modelsPeter C Austin, Ewout W SteyerbergJournal of Clinical Epidemiology|January 30, 2008
Pisces did not have increased heart failure: data-driven comparisons of binary proportions between levels of a categorical variable can result in incorrect statistical significance levelsPeter C Austin, Meredith A GoldwasserJournal 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 SteyerbergPageof 106