<電子ブック>
Emerging Topics in Modeling Interval-Censored Survival Data / edited by Jianguo Sun, Ding-Geng Chen
(ICSA Book Series in Statistics. ISSN:21990999)
版 | 1st ed. 2022. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2022 |
大きさ | XV, 313 p. 1 illus : online resource |
著者標目 | Sun, Jianguo editor Chen, Ding-Geng editor SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Biometry FREE:Statistical Theory and Methods FREE:Biostatistics FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
一般注記 | This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation HTTP:URL=https://doi.org/10.1007/978-3-031-12366-5 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783031123665 |
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電子リソース |
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EB00223017 |