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Disease modelling and public health. Part A /

Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk fact...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Srinivasa Rao, Arni S. R. (Editor ), Pyne, Saumyadipta (Editor ), Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-2023 (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : North Holland is an imprint of Elsevier, 2017.
Colección:Handbook of statistics (Amsterdam, Netherlands) ; v. 36.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology.
Notas:Includes index.
Descripción Física:1 online resource
ISBN:9780444639691
0444639691