Peter C Austin

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Geographic and temporal validity of prediction models: different approaches were useful to examine model performance.

Yvonne Vergouwe, Ewout W Steyerberg, Peter C Austin, 2016, Journal of clinical epidemiology.

Comparing the performance of propensity score methods in healthcare database studies with rare outcomes

Peter C Austin, Sebastian Schneeweiss, Elizabeth A Stuart, 2017, Statistics in medicine.

Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.

Peter C Austin, Douglas S Lee, Jack V Tu, 2013, Journal of clinical epidemiology.

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

Ewout W Steyerberg, Peter C Austin, Tjeerd van der Ploeg, 2014, BMC Medical Research Methodology.

A comparison of 12 algorithms for matching on the propensity score

Peter C Austin, P. Austin, 2013, Statistics in medicine.

Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models

Ewout W Steyerberg, Peter C Austin, P. Austin, 2012, Statistics in medicine.

Constructing inverse probability weights for institutional comparisons in healthcare

Olli Saarela, Peter C Austin, Thai-Son Tang, 2020, Statistics in medicine.

Intermediate and advanced topics in multilevel logistic regression analysis

Juan Merlo, Peter C Austin, P. Austin, 2017, Statistics in medicine.

Bayesian statistical inference enhances the interpretation of contemporary randomized controlled trials.

Peter C Austin, Andreas Laupacis, Duminda N Wijeysundera, 2009, Journal of clinical epidemiology.

Propensity score methods for time‐dependent cluster confounding

Peter C Austin, Guy Cafri, P. Austin, 2020, Biometrical journal. Biometrische Zeitschrift.

Bayes Rules for Optimally using Hierarchical Regression Models to Identify High-mortality Hospitals

Peter C Austin, P. Austin, 2008 .

Comparing a multivariate response Bayesian random effects logistic regression model with a latent variable item response theory model for provider profiling on multiple binary indicators simultaneously

Peter C Austin, Douglas S Lee, George Leckie, 2020, Statistics in medicine.

The use of bootstrapping when using propensity-score matching without replacement: a simulation study

Dylan S. Small, Dylan S Small, Peter C Austin, 2014, Statistics in medicine.

A comparison of propensity score methods: a case‐study estimating the effectiveness of post‐AMI statin use

Peter C Austin, Muhammad M Mamdani, P. Austin, 2006, Statistics in medicine.

A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals.

Andrea Manca, Peter C Austin, Merrick Zwarenstein, 2010, Journal of clinical epidemiology.

Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable

Ewout W Steyerberg, Peter C Austin, P. Austin, 2012, BMC Medical Research Methodology.

Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposures

Peter C Austin, P. Austin, 2018, Statistical methods in medical research.

The number of subjects per variable required in linear regression analyses.

Ewout W Steyerberg, Peter C Austin, P. Austin, 2015, Journal of clinical epidemiology.

The impact of income on the incidence of diabetes: a population-based study.

Peter C Austin, P. Austin, G. Booth, 2013, Diabetes research and clinical practice.

Report Card on Propensity-Score Matching in the Cardiology Literature From 2004 to 2006: A Systematic Review

Peter C Austin, P. Austin, 2008, Circulation. Cardiovascular quality and outcomes.

Effect of selective cyclooxygenase 2 inhibitors and naproxen on short-term risk of acute myocardial infarction in the elderly.

Peter C Austin, Muhammad Mamdani, Gary Naglie, 2003, Archives of internal medicine.

Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement.

Peter C Austin, P. Austin, 2007, The Journal of thoracic and cardiovascular surgery.

Are (the log-odds of) hospital mortality rates normally distributed? Implications for studying variations in outcomes of medical care.

Peter C Austin, P. Austin, 2009, Journal of evaluation in clinical practice.

The Use of Fixed-and Random-Effects Models for Classifying Hospitals as Mortality Outliers: A Monte Carlo Assessment

Peter C Austin, Jack V Tu, P. Austin, 2003, Medical decision making : an international journal of the Society for Medical Decision Making.

Using the bootstrap to improve estimation and confidence intervals for regression coefficients selected using backwards variable elimination

Peter C Austin, P. Austin, 2008, Statistics in medicine.

Bisphosphonate use and the risk of subtrochanteric or femoral shaft fractures in older women.

Peter C Austin, Gillian A Hawker, Muhammad M Mamdani, 2011, JAMA.

Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations

Peter C Austin, P. Austin, 2009, Biometrical journal. Biometrische Zeitschrift.

Lifetime Analysis of Hospitalizations and Survival of Patients Newly Admitted With Heart Failure

Peter C Austin, Douglas S Lee, Jack V Tu, 2012, Circulation. Heart failure.

A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality

Peter C Austin, P. Austin, 2007, Statistics in medicine.

Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model.

Peter C Austin, P. Austin, 2010, Journal of clinical epidemiology.

Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model.

Peter C Austin, Douglas S Lee, Jack V Tu, 2003, JAMA.

Effectiveness of public report cards for improving the quality of cardiac care: the EFFECT study: a randomized trial.

Peter C Austin, Douglas S Lee, Jack V Tu, 2009, JAMA.

Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification trees.

Peter C Austin, Douglas S Lee, P. Austin, 2011, American journal of cardiovascular disease.

Correlation between serial tests made disease probability estimates erroneous.

Carl van Walraven, Peter C Austin, Alison Jennings, 2009, Journal of clinical epidemiology.

Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study

Peter C Austin, Sharon-Lise T Normand, Paul Grootendorst, 2007, Statistics in medicine.

Comparison of Coding of Heart Failure and Comorbidities in Administrative and Clinical Data for Use in Outcomes Research

Peter C Austin, Douglas S Lee, Jack V Tu, 2005, Medical care.

The effect of hospitalization on oral anticoagulation control: a population-based study.

Carl van Walraven, Peter C Austin, Muhammad Mamdani, 2007, Thrombosis research.

Graphical calibration curves and the integrated calibration index (ICI) for survival models

Peter C Austin, David van Klaveren, Frank E Harrell, 2020, Statistics in medicine.

A comparison of several regression models for analysing cost of CABG surgery

Peter C Austin, Jack V Tu, William A Ghali, 2003, Statistics in medicine.

Selective serotonin reuptake inhibitors and breast cancer mortality in women receiving tamoxifen: a population based cohort study

Peter C Austin, Tara Gomes, P. Austin, 2010, BMJ : British Medical Journal.

Effect of cardiac and noncardiac conditions on survival after defibrillator implantation.

Peter C Austin, Douglas S Lee, Jack V Tu, 2007, Journal of the American College of Cardiology.

The iScore Predicts Poor Functional Outcomes Early After Hospitalization for an Acute Ischemic Stroke

Gustavo Saposnik, Peter C Austin, Muhammad Mamdani, 2011, Stroke.

Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study.

Peter C Austin, P. Austin, 2008, Journal of clinical epidemiology.

Logistic regression had superior performance compared with regression trees for predicting in-hospital mortality in patients hospitalized with heart failure.

Peter C Austin, Douglas S Lee, Jack V Tu, 2010, Journal of clinical epidemiology.

Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality.

Peter C Austin, Jack V Tu, P. Austin, 2004, Journal of clinical epidemiology.

A comparison of the statistical power of different methods for the analysis of cluster randomization trials with binary outcomes

Peter C Austin, P. Austin, 2007, Statistics in medicine.

Outcome of heart failure with preserved ejection fraction in a population-based study.

Peter C Austin, Douglas S Lee, Jack V Tu, 2006, The New England journal of medicine.

Effectiveness and safety of drug-eluting stents in Ontario.

Ron Goeree, Gord Blackhouse, Peter C Austin, 2007, The New England journal of medicine.

A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003

Peter C Austin, P. Austin, 2008, Statistics in medicine.

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 levels.

Peter C Austin, P. Austin, M. Goldwasser, 2008, Journal of clinical epidemiology.

The performance of different propensity score methods for estimating marginal hazard ratios

Peter C Austin, P. Austin, 2007, Statistics in medicine.

A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study

Peter C Austin, Paul Grootendorst, P. Austin, 2007, Statistics in medicine.

A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario.

Peter C Austin, Jack V Tu, P. Austin, 2002, American heart journal.

The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies

Peter C Austin, P. Austin, 2010, Statistics in medicine.

A brief note on overlapping confidence intervals.

Peter C Austin, Janet E Hux, P. Austin, 2002, Journal of vascular surgery.

Bootstrap Methods for Developing Predictive Models

Peter C Austin, Jack V Tu, P. Austin, 2004 .

Practical recommendations for reporting Fine‐Gray model analyses for competing risk data

Jason P Fine, Peter C Austin, P. Austin, 2017, Statistics in medicine.

Estimating Multilevel Logistic Regression Models When the Number of Clusters is Low: A Comparison of Different Statistical Software Procedures

Peter C Austin, P. Austin, 2010, The international journal of biostatistics.

Adverse Effects of Observational Studies When Examining Adverse Outcomes of Drugs

Peter C Austin, Muhammad Mamdani, P. Austin, 2002, Drug Safety.

Bayesian Extensions of the Tobit Model for Analyzing Measures of Health Status

Peter C Austin, P. Austin, 2002, Medical decision making : an international journal of the Society for Medical Decision Making.

Bayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitals

Peter C Austin, P. Austin, 2008, BMC medical research methodology.

Impact of the choice of benchmark on the conclusions of hospital report cards.

Peter C Austin, Jack V Tu, P. Austin, 2004, American heart journal.

Bootstrap confidence intervals for loess‐based calibration curves

Ewout W Steyerberg, Peter C Austin, P. Austin, 2014, Statistics in medicine.

Bayesian propensity score analysis for observational data

Lawrence C McCandless, Paul Gustafson, Peter C Austin, 2006, Statistics in medicine.

Life expectancy after an index hospitalization for patients with heart failure: a population-based study.

Peter C Austin, Douglas S Lee, Jack V Tu, 2008, American heart journal.

Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model

Ewout W Steyerberg, Peter C Austin, P. Austin, 2015, Statistical methods in medical research.

Relation between cardiac troponin I and mortality in acute decompensated heart failure.

Peter C Austin, Jack V Tu, P. Austin, 2007, American heart journal.

The Cardiovascular Health in Ambulatory Care Research Team (CANHEART): Using Big Data to Measure and Improve Cardiovascular Health and Healthcare Services

Karen Tu, Peter C Austin, Douglas S Lee, 2015, Circulation. Cardiovascular quality and outcomes.

Quantile regression: a statistical tool for out-of-hospital research.

Peter C Austin, P. Austin, M. Schull, 2003, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?

Ewout W Steyerberg, Peter C Austin, Douglas S Lee, 2012, Biometrical journal. Biometrische Zeitschrift.

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review.

Peter C Austin, Andreas Laupacis, Janet E Hux, 2005, Journal of clinical epidemiology.

Estimating linear regression models in the presence of a censored independent variable

Peter C Austin, Jeffrey S Hoch, P. Austin, 2004, Statistics in medicine.

Testing multiple statistical hypotheses resulted in spurious associations: a study of astrological signs and health.

Peter C Austin, Muhammad M Mamdani, Janet E Hux, 2006, Journal of clinical epidemiology.

Comparative ability of comorbidity classification methods for administrative data to predict outcomes in patients with chronic obstructive pulmonary disease.

Peter C Austin, P. Austin, M. Stanbrook, 2012, Annals of epidemiology.

Walk Score® and the prevalence of utilitarian walking and obesity among Ontario adults: A cross-sectional study.

Peter C Austin, Jack V Tu, Laura C Maclagan, 2015, Health reports.

The performance of different propensity-score methods for estimating relative risks.

Peter C Austin, P. Austin, 2008, Journal of clinical epidemiology.

Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently?

Peter C Austin, Jack V Tu, P. Austin, 2003, American heart journal.

The performance of different propensity score methods for estimating marginal odds ratios, Statistics in Medicine 2007; 26:3078–3094

Peter C Austin, P. Austin, 2008 .

A comparison of methods for analyzing health-related quality-of-life measures.

Peter C Austin, P. Austin, 2002, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

A Comparison of Bayesian Methods for Profiling Hospital Performance

Peter C Austin, P. Austin, 2002, Medical decision making : an international journal of the Society for Medical Decision Making.

Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses

Peter C Austin, P. Austin, L. J. Brunner, 2004, Statistics in medicine.