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Peter C Austin

Showing results (101-110 of 892) with videos related to

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Statistics in Medicine|August 8, 2015
Optimal full matching for survival outcomes: a method that merits more widespread usePeter C Austin, Elizabeth A Stuart
Circulation. 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 Reeves
Statistical 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 Stuart
Journal of Clinical Epidemiology|February 4, 2010
Author's response: the design of observational studies-defining baseline timePeter C Austin, Robert W Platt
Statistical Methods in Medical Research|August 18, 2025
Imputation of incomplete ordinal and nominal data by predictive mean matchingPeter C Austin, Stef van Buuren
BMC Medical Research Methodology|July 19, 2022
The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputationPeter C Austin, Stef van Buuren
Statistics in Medicine|September 16, 2017
Practical recommendations for reporting Fine-Gray model analyses for competing risk dataPeter C Austin, Jason P Fine
Medical Care|May 21, 2013
In responsePeter C Austin, Mathew J Reeves
Medical Care|January 9, 2013
The relationship between the C-statistic of a risk-adjustment model and the accuracy of hospital report cards: a Monte Carlo StudyPeter C Austin, Mathew J Reeves
Medical Care|June 19, 2013
Using G-computation to estimate the effect of regionalization of surgical services on the absolute reduction in the occurrence of adverse patient outcomesPeter C Austin, David R Urbach
Pageof 90

Showing results (101-110 of 892) with videos related to

Sort By:
Pageof 90
Statistics in Medicine|August 8, 2015
Optimal full matching for survival outcomes: a method that merits more widespread usePeter C Austin, Elizabeth A Stuart
Circulation. 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 Reeves
Statistical 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 Stuart
Journal of Clinical Epidemiology|February 4, 2010
Author's response: the design of observational studies-defining baseline timePeter C Austin, Robert W Platt
Statistical Methods in Medical Research|August 18, 2025
Imputation of incomplete ordinal and nominal data by predictive mean matchingPeter C Austin, Stef van Buuren
BMC Medical Research Methodology|July 19, 2022
The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputationPeter C Austin, Stef van Buuren
Statistics in Medicine|September 16, 2017
Practical recommendations for reporting Fine-Gray model analyses for competing risk dataPeter C Austin, Jason P Fine
Medical Care|May 21, 2013
In responsePeter C Austin, Mathew J Reeves
Medical Care|January 9, 2013
The relationship between the C-statistic of a risk-adjustment model and the accuracy of hospital report cards: a Monte Carlo StudyPeter C Austin, Mathew J Reeves
Medical Care|June 19, 2013
Using G-computation to estimate the effect of regionalization of surgical services on the absolute reduction in the occurrence of adverse patient outcomesPeter C Austin, David R Urbach
Pageof 90