Lyle D. Broemeling

Bayesian Analysis of Infectious Diseases (eBook, PDF)

COVID-19 and Beyond

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 342
• Erscheinungstermin: 7. Februar 2021
• Englisch
• ISBN-13: 9781000336313
• Artikelnr.: 60916331

Autorenporträt

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.

Inhaltsangabe

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

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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

Rezensionen

"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