000			02079nam a22002895i 4500
001			91315
005			20231026104026.0
010			_a978-3-031-12366-5 _dcompra
090			_a91315
100			_a20231023d2022 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aEmerging topics in modeling interval-censored survival data _bDocumento eletrónico _fedited by Jianguo Sun, Ding-Geng Chen
210			_aCham _cSpringer International Publishing _cSpringer _d2022
215			_aXV, 313 p. _cil.
225	2		_aICSA Book Series in Statistics
303			_aThis 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.
606			_aStatistics
606			_aBiometry
680			_aQA276-280
702	1		_aSun _bJianguo _4340
702	1		_aChen _bDing-Geng _4340
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-031-12366-5
942			_2lcc _cF _n0