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...

Full description

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Srinivasa Rao, Arni S. R. (Editor), Pyne, Saumyadipta (Editor), Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-2023 (Editor)
Format:	eBook
Language:	English
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 Épidémiologie > Méthodes statistiques. Maladies > Méthodes statistiques. MEDICAL > Forensic Medicine. MEDICAL > Preventive Medicine. MEDICAL > Public Health. Diseases > Statistical methods Epidemiology > Statistical methods Electronic books.
Online Access:	Connect to the full text of this electronic book

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