书目名称 | The Statistical Analysis of Recurrent Events | 编辑 | Richard J. Cook,Jerald F. Lawless | 视频video | | 概述 | Provides an extensive discussion of the wide range of models and methods that are available to researchers and practitioners faced with the design and analysis of studies involving recurrent events | 丛书名称 | Statistics for Biology and Health | 图书封面 |  | 描述 | .Recurrent 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 heal | 出版日期 | Book 2007 | 关键词 | Public Health; Randomized experiment; Survival analysis; calculus; counting processes; event history anal | 版次 | 1 | doi | https://doi.org/10.1007/978-0-387-69810-6 | isbn_softcover | 978-1-4419-2415-5 | isbn_ebook | 978-0-387-69810-6Series ISSN 1431-8776 Series E-ISSN 2197-5671 | issn_series | 1431-8776 | copyright | Springer-Verlag New York 2007 |
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