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A Hierarchical Bayesian Latent Class Model for the Diagnostic Performance of Mini-Mental State Examination and Montreal Cognitive Assessment in Screening Mild Cognitive Impairment Due to Alzheimer's Disease

Crossref DOI link: https://doi.org/10.14283/jpad.2022.70

Published Print: 2022-10

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Wang, Xiaonan

Li, Fengjie

Zhu, H.

Jiang, Z.

Niu, G.

Gao, Qi
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Text and Data Mining valid from 2022-10-01

Text and Data Mining valid from 2022-10-01

Version of Record valid from 2024-09-20
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Article Title: A Hierarchical Bayesian Latent Class Model for the Diagnostic Performance of Mini-Mental State Examination and Montreal Cognitive Assessment in Screening Mild Cognitive Impairment Due to Alzheimer's Disease

Journal Title: The Journal of Prevention of Alzheimer's Disease

CrossRef DOI link to publisher maintained version: https://doi.org/10.14283/jpad.2022.70

Content Type: article

Copyright: Copyright © 2022 THE AUTHORS. Published by Elsevier Masson SAS on behalf of SERDI Publisher. Published by Elsevier Masson SAS

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