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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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Srinivasa Rao, Arni S. R. (Editor), Pyne, Saumyadipta (Editor), Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-2023 (Editor)
Format: Electronic eBook
Language:Inglés
Published: Amsterdam, Netherlands : North Holland is an imprint of Elsevier, 2017.
Series:Handbook of statistics (Amsterdam, Netherlands) ; v. 36.
Subjects:
Epidemiology > Statistical methods.
Diseases > Statistical methods.
Epidemiology > statistics & numerical data
�Epid�emiologie > M�ethodes statistiques.
Maladies > M�ethodes statistiques.
MEDICAL > Forensic Medicine.
MEDICAL > Preventive Medicine.
MEDICAL > Public Health.
Diseases > Statistical methods
Epidemiology > Statistical methods
Online Access:Texto completo
Description
Summary: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.
Item Description:Includes index.
Physical Description:1 online resource
ISBN:9780444639691
0444639691

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