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Emerging topics in modeling interval-censored survival data [Documento eletrónico] / edited by Jianguo Sun, Ding-Geng Chen. - Cham : Springer International Publishing : Springer , 2022 . - XV, 313 p. : il.. - (ICSA Book Series in Statistics) 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.

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ISBN 978-3-031-12366-5

Statistics 
Biometry

LCC QA276-280