书目名称 | Survival Analysis with Correlated Endpoints |
副标题 | Joint Frailty-Copula |
编辑 | Takeshi Emura,Shigeyuki Matsui,Virginie Rondeau |
视频video | |
概述 | The first-ever book tailored to the problem of correlated endpoints in survival analysis.Offers a clearly structured textbook on survival analysis, suitable for graduate students, (bio)statisticians, |
丛书名称 | SpringerBriefs in Statistics |
图书封面 |  |
描述 | .This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the endpoints with the aid of copulas. The practical advantages of employing copula-based models in medical research are explained on the basis of case studies. ..In addition, the book focuses on clustered survival data, especially data arising from meta-analysis and multicenter analysis. Consequently, the statistical approaches presented here employ a frailty term for heterogeneity modeling. This brings the joint frailty-copula model, which incorporates a frailty term and a copula, into a statistical model. The book also discusses advanced techniques for dealing with high-dimensional gene expressions and developing personalized dynamic prediction tools under the joint frailty-copula model. ..To help readers apply the statistical methods to real-world data, the book provides case studies using the authors’ original R software package (freely available in CRAN). The emphasis is on clinical survival data, involving time-to-tu |
出版日期 | Book 2019 |
关键词 | Competing Risk; Compound Covariate; Cox Regression; Kendall’s Tau; Meta-Analysis; Semi-Competing Risk; Sur |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-13-3516-7 |
isbn_softcover | 978-981-13-3515-0 |
isbn_ebook | 978-981-13-3516-7Series ISSN 2191-544X Series E-ISSN 2191-5458 |
issn_series | 2191-544X |
copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019 |