Emerging Topics in Modeling Interval-Censored Survival Data

Sun, Jianguo

ISBN 10: 3031123670 / ISBN 13: 9783031123672

Editore: Springer 2022-11, 2022

Riguardo questo articolo

Codice articolo 6666-IUK-9783031123672

Dati bibliografici

• Titolo: Emerging Topics in Modeling Interval-Censored Survival Data
• Editore: Springer 2022-11
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3031123670
• ISBN 13: 9783031123672
• Rilegatura: PF
• Condizione: New

Descrizione articolo

Riassunto

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.