| 书目名称 | Modeling Discrete Time-to-Event Data | | 编辑 | Gerhard Tutz,Matthias Schmid | | 视频video | | | 概述 | Provides the first comprehensive overview of statistical methods for discrete failure times.Contains numerous examples and exercises that illustrate the presented methods.Introduces novel methodology | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | .This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package | | 出版日期 | Book 2016 | | 关键词 | Survival data; Survival functions; Discrete hazard function; Time-to-Event Data; Life tables; Discrete ha | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-28158-2 | | isbn_softcover | 978-3-319-80285-5 | | isbn_ebook | 978-3-319-28158-2Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 20:01:02
