Adjusting statistical benchmark risk analysis to account for non-spatial autocorrelation, with application to natural hazard risk assessment.

Liu, Jingyu; Piegorsch, Walter W; Schissler, A Grant; McCaster, Rachel R; Cutter, Susan L

Liu, Jingyu; Piegorsch, Walter W; Schissler, A Grant; McCaster, Rachel R; Cutter, Susan L.

Afiliação

Liu J; Interdisciplinary Program in Statistics & Data Science, University of Arizona, Tucson, AZ, USA.
Piegorsch WW; Interdisciplinary Program in Statistics & Data Science, University of Arizona, Tucson, AZ, USA.
Schissler AG; BIO5 Institute, University of Arizona, Tucson, AZ, USA.
McCaster RR; Department of Mathematics, University of Arizona, Tucson, AZ, USA.
Cutter SL; Department of Mathematics & Statistics, University of Nevada, Reno, NV, USA.

J Appl Stat ; 49(9): 2349-2369, 2022.

Article em En | MEDLINE | ID: mdl-35755089

Palavras-chave

Benchmark dose; centered autologistic model; maximum pseudo-likelihood; natural hazard vulnerability; non-spatial autocorrelation; quantitative risk assessment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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