Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond by Lyle D. Broemel

Description: Bayesian Analysis of Infectious Diseases by Lyle D. Broemeling Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. FORMAT Hardcover CONDITION Brand New Publisher Description Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics.Features:Represents the first book on infectious disease from a Bayesian perspective.Employs WinBUGS and R to generate observations that follow the course of contagious maladies.Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919.Compares standard non-Bayesian and Bayesian inferences.Offers the R and WinBUGS code on at Author Biography Lyle D. Broemeling, Ph.D., is Director of Broemeling and Associates Inc., and is a consulting biostatistician. He has been involved with academic health science centers for about 20 years and has taught and been a consultant at the University of Texas Medical Branch in Galveston, the University of Texas MD Anderson Cancer Center and the University of Texas School of Public Health. His main interest is in developing Bayesian methods for use in medical and biological problems and in authoring textbooks in statistics. His previous books are Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement. Table of Contents ContentsAuthor ……………………………………………………………….….………iv1. Introduction to Bayesian Inferences for Infectious Diseases..................12. Bayesian Analysis ...........................................................................................53. Infectious Diseases .................................................................................. .....394. Bayesian Inference for Discrete Markov Chains:Their Relevance to Infectious Diseases.....................................................595. Biological Examples Modeled by Discrete Markov Chains................ 1136. Inferences for Markov Chains in Continuous Time.............................1497. Bayesian Inference: Biological Processes that Follow a Continuous Time Markov Chain...........................................................1958. Additional Information about Infectious Diseases..............................253Index ..................................................................................................... 315 Review "This book will be useful for both masters and undergraduate students in biostatistics, who are planning to pursue research in Bayesian approaches towards epidemics applications"- Chitaranjan Mahapatra, International Society for Clinical Biostatistics, 72, 2021"Since most available textbooks for infectious disease modeling present the subject from differential equations,mathematical modeling perspective, this text is an important first step towards filling the gap from the statisticalperspective."Marie V. Ozanne, Mount Holyoke College USA, Biometrics: A Journal of the International Biometric Society, December 2021. Review Quote "Since most available textbooks for infectious disease modeling present the subject from differential equations, mathematical modeling perspective, this text is an important first step towards filling the gap from the statistical perspective." Marie V. Ozanne, Mount Holyoke College USA, Biometrics: A Journal of the International Biometric Society, December 2021. Details ISBN0367633868 Author Lyle D. Broemeling Publisher Taylor & Francis Ltd Year 2021 ISBN-10 0367633868 ISBN-13 9780367633868 Format Hardcover Pages 332 Publication Date 2021-02-08 UK Release Date 2021-02-08 Place of Publication London AU Release Date 2021-02-08 NZ Release Date 2021-02-08 Illustrations 62 Tables, black and white; 8 Illustrations, black and white Subtitle COVID-19 and Beyond Series Chapman & Hall/CRC Biostatistics Series Alternative 9780367647247 DEWEY 616.90015195 Audience Tertiary & Higher Education Imprint Chapman & Hall/CRC US Release Date 2021-02-08 Country of Publication United Kingdom We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159688547;

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