{"product_id":"bayesian-analysis-of-infectious-diseases-chapman-hall-crc-biostatistics-series","title":"Bayesian Analysis of Infectious Diseases (Chapman \u0026 Hall\/CRC Biostatistics Series)","description":"\u003cp\u003e\u003cstrong\u003eBook info:\u003c\/strong\u003e Bayesian Analysis of Infectious Diseases (Chapman \u0026amp; Hall\/CRC Biostatistics Series) (Hardcover, 332 pages) – Routledge, 2021. Language: English.\u003c\/p\u003e\n \u003cp\u003eBayesian 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.\u003c\/p\u003e\u003cp\u003eFeatures:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eRepresents the first book on infectious disease from a Bayesian perspective.\u003c\/li\u003e\n\u003cli\u003eEmploys WinBUGS and R to generate observations that follow the course of contagious maladies.\u003c\/li\u003e\n\u003cli\u003eIncludes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919.\u003c\/li\u003e\n\u003cli\u003eCompares standard non-Bayesian and Bayesian inferences.\u003c\/li\u003e\n\u003cli\u003eOffers the R and WinBUGS code on at www.routledge.com\/9780367633868\u003c\/li\u003e\n\u003c\/ul\u003e  \n\n                                         Editorial Reviews                   Review   \u003cp\u003e\"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\"\u003c\/p\u003e\u003cp\u003e- Chitaranjan Mahapatra, International Society for Clinical Biostatistics, 72, 2021\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\"Since most available textbooks for infectious disease modeling present the subject from differential equations,\u003cbr\u003emathematical modeling perspective, this text is an important first step towards filling the gap from the statistical\u003cbr\u003eperspective.\"\u003c\/p\u003e\u003cp\u003eMarie V. Ozanne, Mount Holyoke College USA, Biometrics: A Journal of the International Biometric Society, December 2021.\u003c\/p\u003e           About the Author   \u003cp\u003eLyle 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.\u003c\/p\u003e                                           ","brand":"Lyle D. Broemeling","offers":[{"title":"Default Title","offer_id":46070013362410,"sku":"9780367633868","price":195.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/5301\/6298\/files\/81W4Y2njkdL._SL1500.jpg?v=1781237502","url":"https:\/\/textbookme.store\/products\/bayesian-analysis-of-infectious-diseases-chapman-hall-crc-biostatistics-series","provider":"TextbookMe","version":"1.0","type":"link"}