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Stephen L Hillis

Showing results (1-10 of 86) with videos related to

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Statistics in Medicine|April 3, 2018
Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parametersStephen L Hillis
Statistics in Medicine|March 16, 2006
A comparison of denominator degrees of freedom methods for multiple observer ROC analysisStephen L Hillis
Statistics in Medicine|September 17, 2013
A marginal-mean ANOVA approach for analyzing multireader multicase radiological imaging dataStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|July 15, 2024
An alternative parameterization for the binormal ROC curve, with applications to sizing and simulation studiesStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|September 26, 2022
Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalitiesStephen L Hillis
Academic Radiology|November 6, 2012
Simulation of unequal-variance binormal multireader ROC decision data: an extension of the Roe and Metz simulation modelStephen L Hillis
Journal of Medical Imaging (Bellingham, Wash.)|July 7, 2023
Roe and Metz identical-test simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalitiesStephen L Hillis
Statistics in Medicine|November 27, 2015
Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve modelsStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|April 23, 2020
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on real-data or conjectured Obuchowski-Rockette parameter estimatesStephen L Hillis
Biostatistics & Epidemiology|September 18, 2023
Relationship between Obuchowski-Rockette-Hillis and Gallas methods for analyzing multi-reader diagnostic imaging data with empirical AUC as the reader performance measureStephen L Hillis
Pageof 9

Showing results (1-10 of 86) with videos related to

Sort By:
Pageof 9
Statistics in Medicine|April 3, 2018
Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parametersStephen L Hillis
Statistics in Medicine|March 16, 2006
A comparison of denominator degrees of freedom methods for multiple observer ROC analysisStephen L Hillis
Statistics in Medicine|September 17, 2013
A marginal-mean ANOVA approach for analyzing multireader multicase radiological imaging dataStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|July 15, 2024
An alternative parameterization for the binormal ROC curve, with applications to sizing and simulation studiesStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|September 26, 2022
Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalitiesStephen L Hillis
Academic Radiology|November 6, 2012
Simulation of unequal-variance binormal multireader ROC decision data: an extension of the Roe and Metz simulation modelStephen L Hillis
Journal of Medical Imaging (Bellingham, Wash.)|July 7, 2023
Roe and Metz identical-test simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalitiesStephen L Hillis
Statistics in Medicine|November 27, 2015
Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve modelsStephen L Hillis
Proceedings of Spie--The International Society for Optical Engineering|April 23, 2020
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on real-data or conjectured Obuchowski-Rockette parameter estimatesStephen L Hillis
Biostatistics & Epidemiology|September 18, 2023
Relationship between Obuchowski-Rockette-Hillis and Gallas methods for analyzing multi-reader diagnostic imaging data with empirical AUC as the reader performance measureStephen L Hillis
Pageof 9