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008 150903s2010 xxu| o |||| 0|eng d
020 _a9780387686363
_99780387686363
024 7 _a10.1007/9780387686363
_2doi
035 _avtls000331903
039 9 _a201509030208
_bVLOAD
_c201404121948
_dVLOAD
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040 _aMX-SnUAN
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_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aHalloran, M. Elizabeth.
_eautor
_9304557
245 1 0 _aDesign and Analysis of Vaccine Studies /
_cby M. Elizabeth Halloran, Ira M. Longini, Jr., Claudio J. Struchiner.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStatistics for Biology and Health,
_x1431-8776
500 _aSpringer eBooks
505 0 _aand 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.
520 _aWidespread 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 mathematical and statistical theory of epidemics. Struchiner has contributed to understanding the role of transmission in interpreting vaccine effects.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLongini, Jr., Ira M.
_eautor
_9304558
700 1 _aStruchiner, Claudio J.
_eautor
_9304559
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387403137
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68636-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c279949
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