rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Design and Analysis of Vaccine Studies
  name:
    name part: Halloran, M. Elizabeth.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Longini, Ira M.
    role:
      role term: author.
  name:
    name part: Struchiner, Claudio J.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 390 p. online resource.
  abstract: 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 technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson Cancer Research Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cruz Foundation in Rio de Janeiro. The authors are prominent researchers in the area. Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the interface of epidemiological methods, causal inference, and transmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the mathemati…
  table of contents: and Examples -- Overview of Vaccine Effects and Study Designs -- Immunology and Early Phase Trials -- Binomial and Stochastic Transmission Models -- and Deterministic Models -- Evaluating Protective Effects of Vaccination -- Modes of Action and Time-Varying VE -- Further Evaluation of Protective Effects -- Vaccine Effects on Post-Infection Outcomes -- Household-Based Studies -- Analysis of Households in Communities -- Analysis of Independent Households -- Assessing Indirect, Total, and Overall Effects -- Randomization and Baseline Transmission -- Surrogates of Protection.
  note: by M. Elizabeth Halloran, Ira M. Longini, Claudio J. Struchiner.
  subject:
    topic: Medicine
  subject:
    topic: Health informatics
  subject:
    topic: Infectious diseases
  subject:
    topic: Epidemiology
  subject:
    topic: Statistics
  subject:
    topic: Medicine & Public Health
  subject:
    topic: Health Informatics
  subject:
    topic: Epidemiology
  subject:
    topic: Infectious Diseases
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  classification: R858-859.7
  classification: 502.85
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Biology and Health
  identifier: 9780387686363
  identifier: http://dx.doi.org/10.1007/978-0-387-68636-3
  record info:
    record creation date: 100301
    record change date: 20160217103120.0
    record identifier: 978-0-387-68636-3