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OverviewThe book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is discussed at some length and the emphasisthroughout is on making statistical inferences about epidemiologicallyimportant parameters.Niels G. Becker is Reader in Statistics at La Trobe University,Australia. Full Product DetailsAuthor: N.G. Becker (La Trobe University) , D.R. Cox (Nuffield College, Oxford University, UK) , N. Reid (University of Toronto, Ontario, Canada) , Valerie IshamPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Volume: 33 Weight: 0.435kg ISBN: 9780367451073ISBN 10: 0367451077 Pages: 234 Publication Date: 03 December 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction 2. Chain binomial models 3. Chain models with random effects 4. Latent and infectious periods 5. Heterogeneity of disease spread through a community 6. Generalized Linear Models 7. Martingale methods 8. Methods of inference for large populationsReviewsAuthor InformationBecker, N.G. Tab Content 6Author Website:Countries AvailableAll regions |
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