Bayesian multivariate hierarchical transformation models for ROC analysis (Q34977097)

5 August 2017

title

Bayesian multivariate hierarchical transformation models for ROC analysis (English)

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5 August 2017

main subject

multivariate statistics

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1

A James O'Malley

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5 August 2017

Kelly H Zou

2

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5 August 2017

language of work or name

English

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publication date

1 February 2006

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5 August 2017

published in

Statistics in Medicine

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5 August 2017

volume

25

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5 August 2017

issue

3

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5 August 2017

page(s)

459-479

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Time-dependent ROC curves for censored survival data and a diagnostic marker

5 August 2017

cites work

1 reference

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8 July 2018

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A Wald test comparing medical costs based on log-normal distributions with zero valued costs

8 July 2018

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A Bayesian approach to a general regression model for ROC curves

8 July 2018

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Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data

8 July 2018

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The meaning and use of the area under a receiver operating characteristic (ROC) curve

8 July 2018

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8 July 2018

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Estimation of the area under the ROC curve

8 July 2018

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Bayesian regression methodology for estimating a receiver operating characteristic curve with two radiologic applications: prostate biopsy and spiral CT of ureteral stones.

26 October 2018

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26 October 2018

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26 October 2018

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26 October 2018

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Advances in statistical methodology for the evaluation of diagnostic and laboratory tests

26 October 2018

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12 December 2020

Staging of prostate cancer: results of Radiology Diagnostic Oncology Group project comparison of three MR imaging techniques

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12 December 2020

An interpretation for the ROC curve and inference using GLM procedures

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12 December 2020

Incorporating the time dimension in receiver operating characteristic curves: a case study of prostate cancer

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12 December 2020

Identifiers

DOI

10.1002/SIM.2187

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5 August 2017

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5 August 2017

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