Bayesian Analysis of Infectious Diseases Bayesian Analysis of Infectious Diseases
Chapman & Hall/CRC Biostatistics Series

Bayesian Analysis of Infectious Diseases

COVID-19 and Beyond

    • 59,99 €
    • 59,99 €

Descrição da editora

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 www.routledge.com/9780367633868

GÉNERO
Ciência e natureza
LANÇADO
2021
7 de fevereiro
IDIOMA
EN
Inglês
PÁGINAS
342
EDITORA
CRC Press
TAMANHO
23,3
MB

Mais livros de Lyle D. Broemeling

Bayesian Analysis of Time Series Bayesian Analysis of Time Series
2019
Bayesian Inference for Stochastic Processes Bayesian Inference for Stochastic Processes
2017

Outros livros desta série

Statistical Design, Monitoring, and Analysis of Clinical Trials Statistical Design, Monitoring, and Analysis of Clinical Trials
2021
Statistical Thinking in Clinical Trials Statistical Thinking in Clinical Trials
2021
Signal Detection for Medical Scientists Signal Detection for Medical Scientists
2021
Single-Arm Phase II Survival Trial Design Single-Arm Phase II Survival Trial Design
2021
Medical Statistics for Cancer Studies Medical Statistics for Cancer Studies
2022
Analyzing Longitudinal Clinical Trial Data Analyzing Longitudinal Clinical Trial Data
2016