000			02883cam a22004455i 4500
001			21680593
003			BD-DhUL
005			20210817100259.0
006			m |o d |
007			cr |||||||||||
008			180405s2018 si |||| b |||1 0|eng
010			_a 2019746856
020			_a9789811071638 (pbk)
035			_a(DE-He213)978-981-10-7164-5
040			_aDLC _beng _epn _erda _cDLC _dBD-DhUL
072		7	_aMBNS _2thema
072		7	_aMED090000 _2bisacsh
072		7	_aPBT _2bicssc
072		7	_aPBT _2thema
082	0	4	_a519.546 _bEMA
100	1		_aEmura, Takeshi.
245	1	0	_aAnalysis of survival data with dependent censoring : _bcopula-based approaches / _cby Takeshi Emura, Yi-Hau Chen.
264			_aSingapore : _bSpringer : _c2018.
300			_axiii, 84 p. : _bill. ; _c24 cm.
365			_aEuro _b49.99
490	0		_aSpringer briefs in Statistics ;
490	0		_aJSS Research Series in Statistics.
504			_aIncludes bibliographical references and index
505	0		_aChapter 1: Setting the scene -- Chapter 2: Introduction to survival analysis -- Chapter 3: Copula models for dependent censoring -- Chapter 4: Gene selection under dependent censoring -- Chapter 5: The joint frailty-copula model for meta-analysis -- Chapter 6:High-dimensional covariates in the joint frailty-copula model -- Chapter 7:Dynamic prediction of time-to-death. Chapter 8: Future developments -- Appendix.
520			_aThis book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients' survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers' understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aStatistical mathematics.
650		0	_aCensored observations.
700	1		_aChen, Yi-Hau. _ejt. aut.
776	0	8	_iPrint version: _tSurvival analysis with dependent censoring and correlated endpoints. _z9789811071638 _w(DLC) 2017964253
776	0	8	_iPrinted edition: _z9789811071638
776	0	8	_iPrinted edition: _z9789811071652
830		0	_aJSS Research Series in Statistics, _x2364-0057
942			_2ddc _cBK
999			_c254201 _d254201