000			04154nam a22003855i 4500
001			285461
003			MX-SnUAN
005			20160429154406.0
007			cr nn 008mamaa
008			150903s2012 xxu| o |||| 0|eng d
020			_a9781441966469 _99781441966469
024	7		_a10.1007/9781441966469 _2doi
035			_avtls000338723
039		9	_a201509030813 _bVLOAD _c201404300349 _dVLOAD _y201402060917 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aKleinbaum, David G. _eautor _9301886
245	1	0	_aSurvival Analysis : _bA Self-Learning Text, Third Edition / _cby David G. Kleinbaum, Mitchel Klein.
264		1	_aNew York, NY : _bSpringer New York, _c2012.
300			_axv, 700 páginas 500 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aStatistics for Biology and Health, _x1431-8776
500			_aSpringer eBooks
505	0		_aIntroduction to Survival Analysis -- Kaplan-Meier Survival Curves and the Log-Rank Test -- The Cox Proportional Hazards Model and Its Characteristics -- Evaluating the Proportional Hazards Assumption -- The Stratified Cox Procedure -- Extension of the Cox Proportional Hazards Model for Time-Dependent Variables -- Parametric Survival Models.- Recurrent Events Survival Analysis -- Competing Risks Survival Analysis.
520			_aThis greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. The third edition continues to use the unique "lecture-book" format of the first two editions with one new chapter, additional sections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-step instructions for using the computer packages STATA, SAS, and SPSS, is expanded to include the software package R. David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments including distance learning. Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (EOH) and the Department of Epidemiology, also at the Rollins School of Public Health at Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epidemiologic methods courses at Emory to graduate students in public health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emory’s Master of Science in Clinical Research Program, and has collaborated with Dr. Kleinbaum both nationally and internationally in teaching several short courses on various topics in epidemiologic methods.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aKlein, Mitchel. _eautor _9301887
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441966452
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-6646-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c285461 _d285461