Probability Models for Rater Agreement in Medical Diagnosis.

Ph.D

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Bibliographic Details
Main Author: MST. PAPIA SULTANA
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/161036
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1610362019-11-01T13:15:29Z Probability Models for Rater Agreement in Medical Diagnosis. MST. PAPIA SULTANA STATISTICS & APPLIED PROBABILITY LI JIALIANG CHOI KWOK PUI Agreement index, Cohen's kappa, probability model, MLE, correlated sample, covariates Ph.D DOCTOR OF PHILOSOPHY 2019-10-31T18:04:07Z 2019-10-31T18:04:07Z 2009-06-04 Thesis MST. PAPIA SULTANA (2009-06-04). Probability Models for Rater Agreement in Medical Diagnosis.. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/161036 en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Agreement index, Cohen's kappa, probability model, MLE, correlated sample, covariates
spellingShingle Agreement index, Cohen's kappa, probability model, MLE, correlated sample, covariates
MST. PAPIA SULTANA
Probability Models for Rater Agreement in Medical Diagnosis.
description Ph.D
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
MST. PAPIA SULTANA
format Theses and Dissertations
author MST. PAPIA SULTANA
author_sort MST. PAPIA SULTANA
title Probability Models for Rater Agreement in Medical Diagnosis.
title_short Probability Models for Rater Agreement in Medical Diagnosis.
title_full Probability Models for Rater Agreement in Medical Diagnosis.
title_fullStr Probability Models for Rater Agreement in Medical Diagnosis.
title_full_unstemmed Probability Models for Rater Agreement in Medical Diagnosis.
title_sort probability models for rater agreement in medical diagnosis.
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/161036
_version_ 1681100154537508864