書目名稱 | Emerging Topics in Modeling Interval-Censored Survival Data |
編輯 | Jianguo Sun,Ding-Geng Chen |
視頻video | http://file.papertrans.cn/309/308479/308479.mp4 |
概述 | Explores the historical development of interval-censored survival data analysis.Systematically discusses the emerging methodologies used to analyze interval-censored data.Details R/SAS implementations |
叢書名稱 | ICSA Book Series in Statistics |
圖書封面 |  |
描述 | .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 researc |
出版日期 | Book 2022 |
關(guān)鍵詞 | Survival Analysis; Censored Data; Predictive Model; Confidence Interval; Hazards Model; Case-cohort Studi |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-12366-5 |
isbn_softcover | 978-3-031-12368-9 |
isbn_ebook | 978-3-031-12366-5Series ISSN 2199-0980 Series E-ISSN 2199-0999 |
issn_series | 2199-0980 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |