Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data.

Paul, Rajib; Adeyemi, Oluwaseun; Arif, Ahmed A

Paul, Rajib; Adeyemi, Oluwaseun; Arif, Ahmed A.

Afiliación

Paul R; Department of Public Health Sciences, The University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Adeyemi O; Department of Public Health Sciences, The University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Arif AA; Department of Public Health Sciences, The University of North Carolina at Charlotte, Charlotte, North Carolina, USA.

Am J Ind Med ; 65(4): 262-267, 2022 04.

Article en En | MEDLINE | ID: mdl-35133653

Asunto(s)

Antracosis; Minas de Carbón; Neumoconiosis; Anciano; Teorema de Bayes; Carbón Mineral; Polvo; Humanos; Medicare; Estados Unidos/epidemiología

Palabras clave

Bayesian analysis; comorbidity; lung disease; occupational hazard; spatial models

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumoconiosis / Minas de Carbón / Antracosis Tipo de estudio: Prognostic_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: Am J Ind Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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