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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Lecture Notes in Computer Science estimate vaccine efficacy based on the conventional secondary attack rate. We also consider the estimation of indirect effects of vaccination using household studies. The Reed–Frost model in Chapter 4 is another example of a model that assumes households or transmission units are independent.

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Book 2010is 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

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1431-8776 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, f

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https://doi.org/10.1007/978-981-99-7584-6ough the framework is not exhaustive, many designs not considered explicitly in this overview are special cases of these general designs. Our primary concern in this chapter is conceptual. Details of study design and methods of estimation and inference are left to following chapters.

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Overview of Vaccine Effects and Study Designs,ough the framework is not exhaustive, many designs not considered explicitly in this overview are special cases of these general designs. Our primary concern in this chapter is conceptual. Details of study design and methods of estimation and inference are left to following chapters.

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Introduction and Examples,d to the unvaccinated group:.Historically, interest focused on evaluating protective effects of vaccination. Study designs and statistical analysis played a role even with early immunizations. In the November 5, 1904, issue of the ., Karl Pearson published a criticism of the Antityphoid Committee’s

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Overview of Vaccine Effects and Study Designs,esigns to estimate them. This framework provides a structure for thinking about the different vaccine effects of interest and how they are related to one another. We present different versions of vaccine efficacy and effectiveness as one minus some measure of relative risk, ...We focus on the relati

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Immunology and Early Phase Trials,se that mimics natural infection or tries to do even better than our response to a pathogen. Vaccination induces an immune response in the individual vaccinated. A population of hosts has a collective level of immunity that results from the level of immunity in the individuals that compose it. The c

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Binomial and Stochastic Transmission Models,studies. It can influence our choice of interventions. In this chapter and the next we introduce transmission models necessary for estimating and understanding the effects of vaccination. In this chapter, we present the binomial model and the chain binomial model. These models are central to formula

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and Deterministic Models,r her infectious period in a large, completely susceptible population. For example, if . = 5 for mumps in a human population, then one infectious person in that population would be expected to produce five new secondary infectious cases if the population were completely susceptible. If he produced t