A Bayesian space-time model for clustering areal units based on their disease trends

Gary Napier; Duncan Lee; Chris Robertson; Andrew Lawson

doi:10.1093/biostatistics/kxy024

A Bayesian space-time model for clustering areal units based on their disease trends

Gary Napier, Duncan Lee, Chris Robertson, Andrew Lawson

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
页（从-至）	681-697
页数	17
期刊	Biostatistics
卷	20
期	4
DOI	https://doi.org/10.1093/biostatistics/kxy024
出版状态	已出版 - 10月 1 2019
已对外发布	是

!!!ASJC Scopus Subject Areas

统计与概率
统计学、概率和不确定度

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10.1093/biostatistics/kxy024

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@article{cf69dd1d0db34c129d39770b93836de9,

title = "A Bayesian space-time model for clustering areal units based on their disease trends",

keywords = "Health inequalities, Metropolis-Coupled Markov chain Monte Carlo ((MC)) simulation, Space-time disease mapping, Trend estimation",

author = "Gary Napier and Duncan Lee and Chris Robertson and Andrew Lawson",

note = "Publisher Copyright: {\textcopyright} 2018 The Author.",

year = "2019",

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doi = "10.1093/biostatistics/kxy024",

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AU - Lee, Duncan

AU - Robertson, Chris

AU - Lawson, Andrew

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KW - Health inequalities

KW - Metropolis-Coupled Markov chain Monte Carlo ((MC)) simulation

KW - Space-time disease mapping

KW - Trend estimation

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M3 - Article

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AN - SCOPUS:85073537950

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VL - 20

SP - 681

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JO - Biostatistics

JF - Biostatistics

IS - 4

ER -

A Bayesian space-time model for clustering areal units based on their disease trends

!!!ASJC Scopus Subject Areas

联合国可持续发展目标

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