Using Prior Toxicological Data to Support Dose-Response AssessmentâIdentifying Plausible Prior Distributions for Dichotomous Dose-Response Models.

Shao, Kan; Ji, Chao; Chiu, Weihsueh A

Using Prior Toxicological Data to Support Dose-Response AssessmentâIdentifying Plausible Prior Distributions for Dichotomous Dose-Response Models.

Shao, Kan; Ji, Chao; Chiu, Weihsueh A.

Afiliación

Shao K; Department of Environmental and Occupational Health, School of Public HealthâBloomington, Indiana University, Bloomington, Indiana47405, United States.
Ji C; Department of Environmental and Occupational Health, School of Public HealthâBloomington, Indiana University, Bloomington, Indiana47405, United States.
Chiu WA; Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas77843, United States.

Environ Sci Technol ; 56(22): 16506-16516, 2022 11 15.

Article en En | MEDLINE | ID: mdl-36279400

Asunto(s)

Benchmarking; Modelos Estadísticos; Teorema de Bayes; Incertidumbre; Bases de Datos Factuales

Palabras clave

Bayesian statistics; benchmark dose; dichotomous data; informative prior

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Modelos Estadísticos / Benchmarking Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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