000			01659nam a22003377a 4500
003			BD-SySUS
005			20241113144723.0
008			241113b |||||||| |||| 00| 0 ben d
020			_a9781032252858 _q(hardback)
020			_a9781032252896 _q(paperback)
020			_z9781003282525 _q(ebook)
040			_aDLC _beng _erda _cDLC
082	0	0	_a610.727 _223 _bCOM
100	1		_aCollett, D., _d1952- _eauthor. _968263
245	1	0	_aModelling survival data in medical research / _cDavid Collett.
250			_aFourth edition.
264		1	_aBoca Raton : _bTaylor and Francis, _c2023.
300			_a540 pages _bill. ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC texts in statistical science
504			_aIncludes bibliographical references and index.
520			_a"Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics that include methods for assessing predictive ability of a model, joint models for longitudinal and survival data, modern methods for the analysis of interval-censored survival data"-- _cProvided by publisher.
650		0	_aSurvival analysis (Biometry) _968264
650		0	_aClinical trials _xStatistical methods. _968265
776	0	8	_iOnline version: _aCollett, David. _tModelling survival data in medical research _dBoca Raton : Taylor and Francis, 2023 _z9781003282525 _w(DLC) 2022049342
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c86543 _d86543