Survival analysis [electronic resource] : a self-learning text / David G. Kleinbaum, Mitchel Klein.
This 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...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer,
©2012.
|
| Edition: | 3rd ed. |
| Series: | Statistics for biology and health.
|
| Subjects: |
MARC
| LEADER | 00000cam a2200000xa 4500 | ||
|---|---|---|---|
| 001 | b6845223 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 111026s2012 nyu ob 001 0 eng d | ||
| 005 | 20240423171043.2 | ||
| 019 | |a 985032230 |a 1005750982 |a 1026452647 |a 1058573550 |a 1151959618 |a 1153032125 |a 1154178928 |a 1155116906 | ||
| 020 | |a 9781441966469 |q (electronic bk.) | ||
| 020 | |a 1441966463 |q (electronic bk.) | ||
| 020 | |a 9781441966452 | ||
| 020 | |a 1441966455 | ||
| 024 | 7 | |a 10.1007/978-1-4419-6646-9 | |
| 035 | |a (OCoLC)spr758671954 | ||
| 035 | |a (OCoLC)758671954 |z (OCoLC)985032230 |z (OCoLC)1005750982 |z (OCoLC)1026452647 |z (OCoLC)1058573550 |z (OCoLC)1151959618 |z (OCoLC)1153032125 |z (OCoLC)1154178928 |z (OCoLC)1155116906 | ||
| 037 | |a spr978-1-4419-6646-9 | ||
| 040 | |a GW5XE |b eng |e pn |c GW5XE |d E7B |d OCLCQ |d OCLCF |d YDXCP |d VVL |d COO |d EBLCP |d OCLCQ |d DEBSZ |d OCLCQ |d VT2 |d Z5A |d ESU |d IOG |d BUF |d REB |d OCLCO |d MERER |d OCLCO |d CEF |d U3W |d WYU |d YOU |d LEAUB |d OL$ |d OCLCQ |d OCLCO |d AU@ |d OCLCQ |d OCLCA |d OCLCQ |d UX1 |d AUD |d UKAHL |d N$T |d AJS |d OCLCQ |d OCLCO | ||
| 049 | |a GWRE | ||
| 050 | 4 | |a R853.S7 |b K54 2012 | |
| 100 | 1 | |a Kleinbaum, David G. |0 http://id.loc.gov/authorities/names/n82005044 |1 http://isni.org/isni/0000000120372678. | |
| 245 | 1 | 0 | |a Survival analysis |h [electronic resource] : |b a self-learning text / |c David G. Kleinbaum, Mitchel Klein. |
| 250 | |a 3rd ed. | ||
| 260 | |a New York, NY : |b Springer, |c ©2012. | ||
| 300 | |a 1 online resource (xv, 700 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 347 | |a text file. | ||
| 347 | |b PDF. | ||
| 490 | 1 | |a Statistics for biology and health. | |
| 500 | |a This book is available on the World Wide Web. Access is restricted to computers located within Mount Sinai or to those users eligible for remote access services. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction 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 | |a This 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. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Survival analysis (Biometry) |0 http://id.loc.gov/authorities/subjects/sh90003967. | |
| 650 | 7 | |a Survival analysis (Biometry) |2 fast |0 (OCoLC)fst01139649. | |
| 700 | 1 | |a Klein, Mitchel. |0 http://id.loc.gov/authorities/names/n2002016319 |1 http://isni.org/isni/0000000109684945. | |
| 776 | 0 | 8 | |i Print version: |a Kleinbaum, David G. |t Survival analysis. |b 3rd ed. |d New York, NY : Springer, ©2012 |w (DLC) 2011938018. |
| 830 | 0 | |a Statistics for biology and health. |0 http://id.loc.gov/authorities/names/n96048292. | |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4419-6646-9 |z Full Text (via Springer) |
| 907 | |a .b68452238 |b 04-01-21 |c 11-09-11 | ||
| 998 | |a web |b 03-31-21 |c b |d b |e - |f eng |g nyu |h 0 |i 1 | ||
| 907 | |a .b68452238 |b 03-31-21 |c 11-09-11 | ||
| 944 | |a MARS - RDA ENRICHED | ||
| 956 | |b Springer Nature - Springer Mathematics and Statistics eBooks 2012 English International | ||
| 915 | |a - | ||
| 956 | |a Springer e-books | ||
| 956 | |b Springer Nature - Springer Mathematics and Statistics eBooks 2012 English International | ||
| 999 | f | f | |i b33a48d9-bc59-5cc9-ad91-264d88918f69 |s 9100d826-8dec-560e-80a4-eb3ff03b0828 |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e R853.S7 K54 2012 |h Library of Congress classification |i Ebooks, Prospector |n 1 |