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020 _a9780387698106
_99780387698106
024 7 _a10.1007/9780387698106
_2doi
035 _avtls000332036
039 9 _a201509030213
_bVLOAD
_c201404122013
_dVLOAD
_c201404091740
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aRA648.5-654
100 1 _aCook, Richard J.
_eautor
_9304308
245 1 4 _aThe Statistical Analysis of Recurrent Events /
_cby Richard J. Cook, Jerald F. Lawless.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _axx, 403 páginas
_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 _aModels and Frameworks for Analysis of Recurrent Events -- Methods Based on Counts and Rate Functions -- Analysis of Gap Times -- General Intensity-Based Models -- Multitype Recurrent Events -- Observation Schemes Giving Incomplete or Selective Data -- OtherTopics.
520 _aRecurrent event data arise in diverse fields such as medicine, public health, insurance, social science, economics, manufacturing and reliability. The purpose of this book is to present models and statistical methods for the analysis of recurrent event data. No single comprehensive treatment of these areas currently exists. The authors provide broad but detailed coverage of the major approaches to analysis, while also emphasizing the modeling assumptions that they are based on. Thus, they consider important models such as Poisson and renewal processes, with extensions to incorporate covariates or random effects. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with clear descriptions of procedures for estimation, testing and model checking. Important practical topics such as observation schemes and selection of individuals for study, the planning of randomized experiments, events of several types, and the prediction of future events are considered. Methods of modeling and analysis are illustrated through many examples taken from health research and industry. The objectives and interpretations of different analyses are discussed in detail, and issues of robustness are addressed. Statistical analysis of the examples is carried out with S-PLUS software and code is given for some examples. This book is directed at graduate students, researchers, and applied statisticians working in industry, government or academia. Some familiarity with survival analysis is beneficial since survival software is used to carry out many of the analyses considered. This book can be used as a textbook for a graduate course on the analysis of recurrent events or as a reference for a more general course on event history analysis. Problems are given at the end of chapters to reinforce the material presented and to provide additional background or extensions to certain topics. Richard J. Cook is Professor in the Department of Statistics and Actuarial Science at the University of Waterloo and Canada Research Chair in Statistical Methods for Health Research. He is an Associate Editor for Lifetime Data Analysis. Jerald F. Lawless is Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He is a former Editor of Technometrics and from 1994-2004 held the General Motors Canada-NSERC Industrial Research Chair in Quality and Productivity. He is the author of Statistical Models and Methods for Lifetime Data, Second Edition (2003).
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLawless, Jerald F.
_eautor
_9304309
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387698090
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-69810-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c279789
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