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Role of calibration in uncertainty-based referral for deep learning

Statistical methods in medical research, 2023-05, Vol.32 (5), p.927-943

2023

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A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations

Statistics in medicine, 2001-10, Vol.20 (19), p.2865-2884

2001

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Efficiency of study designs in diagnostic randomized clinical trials

Statistics in medicine, 2013-04, Vol.32 (9), p.1451-1466

2013

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Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

Statistical methods in medical research, 2015-02, Vol.24 (1), p.27-67

2015

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Methods in Comparative Effectiveness Research

1st edition., 2017

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Hierarchical models for ROC curve summary measures: Design and analysis of multi-reader, multi-modality studies of medical tests

Statistics in medicine, 2008-01, Vol.27 (2), p.243-256

2008

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Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias

Statistics in medicine, 2019-05, Vol.38 (11), p.1968-1990

2019

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Statistical Methods for Profiling Providers of Medical Care: Issues and Applications

Journal of the American Statistical Association, 1997-09, Vol.92 (439), p.803-814

1997

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Case Studies in Bayesian Statistics

1, 1993

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The promise and realities of comparative effectiveness research

Statistics in medicine, 2010-08, Vol.29 (19), p.1977-1981

Gatsonis, Constantine

2010

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Dynamic optimal strategy for monitoring disease recurrence

Science China. Mathematics, 2012-08, Vol.55 (8), p.1565-1582

2012

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Estimating the area under the ROC curve when transporting a prediction model to a target population

Biometrics, 2023-09, Vol.79 (3), p.2382-2393

2023

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Wilcoxon-based group sequential designs for comparison of areas under two correlated ROC curves

Statistics in medicine, 2008-01, Vol.27 (2), p.213-223

2008

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Robust estimation of loss‐based measures of model performance under covariate shift

Canadian journal of statistics, 2024-07

2024

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Survival analysis using deep learning with medical imaging

The international journal of biostatistics, 2024-05, Vol.20 (1), p.1-12

2024

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Case Studies in Bayesian Statistics: Volume V

1, 2001

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Case Studies in Bayesian Statistics, Volume IV

1, 1999

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On ROC analysis with nonbinary reference standard

Biometrical journal, 2012-07, Vol.54 (4), p.457-480

2012

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Bayesian methods for phase I clinical trials

Statistics in medicine, 1992, Vol.11 (10), p.1377-1389

1992

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Hierarchical Generalized Linear Models in the Analysis of Variations in Health Care Utilization

Journal of the American Statistical Association, 1999-03, Vol.94 (445), p.29-42

1999

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A general class of hierarchical ordinal regression models with applications to correlated roc analysis

Canadian journal of statistics, 2000-12, Vol.28 (4), p.731-750

2000

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ORDINAL REGRESSION METHODOLOGY FOR ROC CURVES DERIVED FROM CORRELATED DATA

Statistics in medicine, 1996-08, Vol.15 (16), p.1807-1826

1996

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Generalized Estimating Equations for Ordinal Categorical Data: Arbitrary Patterns of Missing Responses and Missingness in a Key Covariate

Biometrics, 1999-06, Vol.55 (2), p.488-496

1999

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Case Studies in Bayesian Statistics, Volume II

1, 1995

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On the estimation of a restricted normal mean

Statistics & probability letters, 1987-09, Vol.6 (1), p.21-30

1987

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Role of calibration in uncertainty-based referral for deep learning

A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations

Efficiency of study designs in diagnostic randomized clinical trials

Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

Methods in Comparative Effectiveness Research

Hierarchical models for ROC curve summary measures: Design and analysis of multi-reader, multi-modality studies of medical tests

Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias

Statistical Methods for Profiling Providers of Medical Care: Issues and Applications

Case Studies in Bayesian Statistics

The promise and realities of comparative effectiveness research

Dynamic optimal strategy for monitoring disease recurrence

Estimating the area under the ROC curve when transporting a prediction model to a target population

Wilcoxon-based group sequential designs for comparison of areas under two correlated ROC curves

Robust estimation of loss‐based measures of model performance under covariate shift

Survival analysis using deep learning with medical imaging

Case Studies in Bayesian Statistics: Volume V

Case Studies in Bayesian Statistics, Volume IV

On ROC analysis with nonbinary reference standard

Bayesian methods for phase I clinical trials

Hierarchical Generalized Linear Models in the Analysis of Variations in Health Care Utilization

A general class of hierarchical ordinal regression models with applications to correlated roc analysis

ORDINAL REGRESSION METHODOLOGY FOR ROC CURVES DERIVED FROM CORRELATED DATA

Generalized Estimating Equations for Ordinal Categorical Data: Arbitrary Patterns of Missing Responses and Missingness in a Key Covariate

Case Studies in Bayesian Statistics, Volume II

On the estimation of a restricted normal mean

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