Disease Modelling and Public Health, Part A, Volume 36 (Hardcover)

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. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy.

General

Imprint:	North-Holland
Country of origin:	United States
Series:	Handbook of Statistics
Release date:	October 2017
First published:	2017
Volume editors:	Arni S.R. Srinivasa Rao • Saumyadipta Pyne • C.R. Rao
Dimensions:	229 x 152 x 30mm (L x W x T)
Format:	Hardcover
Pages:	500
ISBN-13:	978-0-444-63968-4
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > General
LSN:	0-444-63968-3
Barcode:	9780444639684

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