000 04660nam a22003975i 4500
001 278333
003 MX-SnUAN
005 20160429153859.0
007 cr nn 008mamaa
008 150903s2005 xxu| o |||| 0|eng d
020 _a9780387291505
_99780387291505
024 7 _a10.1007/0387291504
_2doi
035 _avtls000330704
039 9 _a201509030724
_bVLOAD
_c201404120520
_dVLOAD
_c201404090301
_dVLOAD
_c201401311348
_dstaff
_y201401301152
_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 /
_cby David G. Kleinbaum, Mitchel Klein.
250 _aSecond Edition.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _axvI, 590 páginas, 107 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 _ato 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 Event Survival Analysis -- Competing Risks Survival Analysis.
520 _aThis greatly expanded second 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 second edition continues to use the unique "lecture-book" format of the first (1996) edition with the addition of three new chapters on advanced topics: Chapter 7: Parametric Models Chapter 8: Recurrent events Chapter 9: Competing Risks. Also, the Computer Appendix has been revised to provide step-by-step instructions for using the computer packages STATA (Version 7.0), SAS (Version 8.2), and SPSS (version 11.5) to carry out the procedures presented in the main text. The original six chapters have been modified slightly to expand and clarify aspects of survival analysis in response to suggestions by students, colleagues and reviewers, and to add theoretical background, particularly regarding the formulation of the (partial) likelihood functions for proportional hazards, stratified, and extended Cox regression models 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:
_z9780387239187
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-29150-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278333
_d278333