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Titlebook: Design and Analysis of Vaccine Studies; M. Elizabeth Halloran,Ira M. Longini,Claudio J. St Book 2010 Springer-Verlag New York 2010 Biostat

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书目名称Design and Analysis of Vaccine Studies
编辑M. Elizabeth Halloran,Ira M. Longini,Claudio J. St
视频video
丛书名称Statistics for Biology and Health
图书封面Titlebook: Design and Analysis of Vaccine Studies;  M. Elizabeth Halloran,Ira M. Longini,Claudio J. St Book 2010 Springer-Verlag New York 2010 Biostat
描述.Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents a unified conceptual framework of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, for post-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immune protection, and applications of casual inference. Material on concepts of infectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to present vaccine evaluation in this comprehensive conceptual framework...This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simple language accessible to epidemiologists, followed by
出版日期Book 2010
关键词Biostatistics; Epidemiology; Infectious disease epidemiology; infection; infectious; infectious disease; i
版次1
doihttps://doi.org/10.1007/978-0-387-68636-3
isbn_softcover978-1-4614-2488-8
isbn_ebook978-0-387-68636-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer-Verlag New York 2010
The information of publication is updating

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Kousha Etessami,Mihalis Yannakakis vaccine is 90%. You might then wonder if that means that the vaccine reduces your probability of contracting the infection (or disease) by 0.90 at each exposure to infection. In other words, you still might have a finite probability of contracting the infection or disease each time you were exposed
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From Rule-Based to Automata-Based Testingr defining exposure to infection in vaccine studies as early as the 1930s in evaluating the efficacy of pertussis vaccines (Kendrick and Eldering 1939). In addition to evaluating vaccine efficacy, household studies have been used to learn about transmission and natural history of many infections. As
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