A joint spatial factor analysis model to accommodate data from misaligned areal units with application to Louisiana social vulnerability.

Nethery, Rachel C; Sandler, Dale P; Zhao, Shanshan; Engel, Lawrence S; Kwok, Richard K

Nethery, Rachel C; Sandler, Dale P; Zhao, Shanshan; Engel, Lawrence S; Kwok, Richard K.

Afiliação

Nethery RC; Department of Biostatistics, Harvard University, T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, USA.
Sandler DP; Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr, Durham, NC, USA.
Zhao S; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr, Durham, NC, USA.
Engel LS; Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr, Durham, NC, USA and Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, 135 Dauer Dr, Chapel Hill, NC, USA.
Kwok RK; Epidemiology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr, Durham, NC, USA.

Biostatistics ; 20(3): 468-484, 2019 07 01.

Article em En | MEDLINE | ID: mdl-29659722

Assuntos

Análise Fatorial; Modelos Estatísticos; Desastres Naturais; Fatores Socioeconômicos; Análise Espacial; Populações Vulneráveis; Humanos; Louisiana

Palavras-chave

Climate change; Louisiana; Social indicators; Social vulnerability; Spatial factor analysis; Spatial misalignment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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