A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests

Wei Liu; Bo Zhang; Zhiwei Zhang; Baojiang Chen; Xiao Hua Zhou

doi:10.1016/j.csda.2014.11.006

A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests

Wei Liu, Bo Zhang, Zhiwei Zhang, Baojiang Chen, Xiao Hua Zhou

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	85-98
Number of pages	14
Journal	Computational Statistics and Data Analysis
Volume	84
DOIs	https://doi.org/10.1016/j.csda.2014.11.006
State	Published - Apr 2015
Externally published	Yes

ASJC Scopus Subject Areas

Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Applied Mathematics

Keywords

Composite likelihood
Imperfect reference standards
Latent class models
Random effects
Sensitivity and specificity

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10.1016/j.csda.2014.11.006

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title = "A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests",

keywords = "Composite likelihood, Imperfect reference standards, Latent class models, Random effects, Sensitivity and specificity",

author = "Wei Liu and Bo Zhang and Zhiwei Zhang and Baojiang Chen and Zhou, {Xiao Hua}",

year = "2015",

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doi = "10.1016/j.csda.2014.11.006",

language = "English",

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journal = "Computational Statistics and Data Analysis",

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AU - Zhang, Zhiwei

AU - Chen, Baojiang

AU - Zhou, Xiao Hua

PY - 2015/4

Y1 - 2015/4

KW - Composite likelihood

KW - Imperfect reference standards

KW - Latent class models

KW - Random effects

KW - Sensitivity and specificity

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M3 - Article

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JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

ER -

A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests

ASJC Scopus Subject Areas

Keywords

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