Bayesian analysis of infectious diseases : (Record no. 73897)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03781cam a2200565Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003125983 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220531132542.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201209t20212021flua ob 001 0 eng d |
| 040 ## - Cataloging Source | |
| -- | OCoLC-P |
| -- | eng |
| -- | rda |
| -- | pn |
| -- | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000336474 |
| -- | electronic publication |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000336476 |
| -- | electronic publication |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000336313 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 100033631X |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781003125983 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1003125980 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781000336399 |
| -- | electronic book |
| -- | Mobipocket |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1000336395 |
| -- | electronic book |
| -- | Mobipocket |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780367633868 |
| -- | hardcover |
| 024 7# - | |
| -- | 10.1201/9781003125983 |
| -- | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1233313633 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1233313633 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | RA643 |
| Item number | .B76 2021 |
| 072 #7 - | |
| -- | MAT |
| -- | 029010 |
| -- | bisacsh |
| 072 #7 - | |
| -- | MED |
| -- | 090000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | MED |
| -- | 022090 |
| -- | bisacsh |
| 072 #7 - | |
| -- | PBT |
| -- | bicssc |
| 082 04 - | |
| -- | 616.90015195 |
| -- | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Broemeling, Lyle D., |
| Dates associated with a name | 1939- |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Bayesian analysis of infectious diseases : |
| Remainder of title | COVID-19 and beyond / |
| Statement of responsibility, etc. | Lyle D. Broemeling. |
| 264 #1 - | |
| -- | Boca Raton : |
| -- | CRC Press, |
| -- | 2021. |
| 264 #4 - | |
| -- | ©2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (x, 331 pages) : |
| Other physical details | illustrations (black and white). |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 490 1# - | |
| -- | Chapman & Hall/CRC biostatistics series |
| 500 ## - GENERAL NOTE | |
| General note | Contents--Author iv...1. 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 |
| 520 ## - | |
| -- | 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 a companion website with the R and WinBUGS code. |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Communicable diseases |
| General subdivision | Statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bayesian statistical decision theory. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS / Probability & Statistics / Bayesian Analysis |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MEDICAL / Biostatistics |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MEDICAL / Infectious Diseases |
| Source of heading or term | bisacsh |
| 856 40 - | |
| -- | Taylor & Francis |
| -- | https://www.taylorfrancis.com/books/9781003125983 |
| 856 42 - | |
| -- | OCLC metadata license agreement |
| -- | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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