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BMC Medical Research Methodology|May 14, 2008
Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitalsPeter C AustinMedical Decision Making : an International Journal of the Society for Medical Decision Making|April 18, 2002
A comparison of Bayesian methods for profiling hospital performancePeter C AustinJournal of Clinical Epidemiology|June 10, 2008
Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation studyPeter C AustinJournal of Clinical Epidemiology|July 16, 2008
R and S-PLUS produced different classification trees for predicting patient mortalityPeter C AustinJournal of Clinical Epidemiology|July 15, 2009
Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomesPeter C AustinJournal of Clinical Epidemiology|February 24, 2009
Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression modelPeter C AustinBiometrical Journal. Biometrische Zeitschrift|February 7, 2009
Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulationsPeter C AustinMedical Decision Making : an International Journal of the Society for Medical Decision Making|August 18, 2009
The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studiesPeter C AustinInternational Statistical Review = Revue Internationale De Statistique|January 9, 2018
A Tutorial on Multilevel Survival Analysis: Methods, Models and ApplicationsPeter C AustinPharmacoepidemiology and Drug Safety|May 20, 2023
Differences in target estimands between different propensity score-based weightsPeter C AustinPageof 136