Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low-rank kriging multiple membership model.

Boyle, Joseph; Ward, Mary H; Cerhan, James R; Rothman, Nat; Wheeler, David C

Boyle, Joseph; Ward, Mary H; Cerhan, James R; Rothman, Nat; Wheeler, David C.

Afiliación

Boyle J; Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA.
Ward MH; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Cerhan JR; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Rothman N; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Wheeler DC; Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA.

Stat Med ; 41(29): 5679-5697, 2022 12 20.

Article en En | MEDLINE | ID: mdl-36161724

Asunto(s)

Exposición a Riesgos Ambientales; Linfoma no Hodgkin; Humanos; Estudios de Casos y Controles; Teorema de Bayes; Exposición a Riesgos Ambientales/efectos adversos; Análisis Espacial; Linfoma no Hodgkin/epidemiología

Palabras clave

exposome; mixture analysis; non-Hodgkin lymphoma; residential history; spatial analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Linfoma no Hodgkin / Exposición a Riesgos Ambientales Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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