Buch, Englisch, 342 Seiten, Format (B × H): 234 mm x 155 mm, Gewicht: 524 g
COVID-19 and Beyond
Buch, Englisch, 342 Seiten, Format (B × H): 234 mm x 155 mm, Gewicht: 524 g
Reihe: Chapman & Hall/CRC Biostatistics Series
ISBN: 978-0-367-64724-7
Verlag: Taylor & Francis Ltd
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
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Immunologie
- Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Infektionskrankheiten
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
Weitere Infos & Material
Contents
Author ……………………………………………………………….….………iv
1. Introduction to Bayesian Inferences for Infectious Diseases.1
2. Bayesian Analysis.5
3. Infectious Diseases.39
4. Bayesian Inference for Discrete Markov Chains:
Their Relevance to Infectious Diseases.59
5. Biological Examples Modeled by Discrete Markov Chains. 113
6. Inferences for Markov Chains in Continuous Time.149
7. Bayesian Inference: Biological Processes that Follow a
Continuous Time Markov Chain.195
8. Additional Information about Infectious Diseases.253
Index. 315