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Statistical Methods in Medical Research|September 26, 2023
Logistic regression vs. predictive mean matching for imputing binary covariatesPeter C Austin, Stef van BuurenStatistics in Medicine|February 7, 2025
Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival AnalysisPeter C Austin, Jason P FineJournal of Vascular Surgery|July 4, 2002
A brief note on overlapping confidence intervalsPeter C Austin, Janet E HuxStatistics in Medicine|October 7, 2020
The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differencesPeter C Austin, Elizabeth A StuartStatistics in Medicine|July 5, 2019
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression modelsPeter C Austin, Ewout W SteyerbergAmerican Journal of Cardiovascular Disease|January 19, 2012
Boosted classification trees result in minor to modest improvement in the accuracy in classifying cardiovascular outcomes compared to conventional classification treesPeter C Austin, Douglas S LeeStatistics in Medicine|August 8, 2015
Optimal full matching for survival outcomes: a method that merits more widespread usePeter C Austin, Elizabeth A StuartCirculation. Cardiovascular Quality and Outcomes|March 13, 2014
Effect of provider volume on the accuracy of hospital report cards: a Monte Carlo studyPeter C Austin, Mathew J ReevesStatistical Methods in Medical Research|May 3, 2015
The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomesPeter C Austin, Elizabeth A StuartStatistical Methods in Medical Research|August 18, 2025
Imputation of incomplete ordinal and nominal data by predictive mean matchingPeter C Austin, Stef van BuurenPageof 136