Kleinbaum, D.G. and Klein, M. (2012) Survival Analysis A Self-Learning Text. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. Kleinbaum, D. G., & Klein, M. (2005). 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. He has provided extensive worldwide short-course training in over 150 short courses on … 700 p. Figure 1—Survival probability by potential by multivariate model with fixed covariate for no ice damage (a) and after ice damage (b). AUTHORS: Gilbert Reibnegger Get this from a library! In figure (b) an estimated median survival time (S (t 0.5) = 0.5) for trees that died during the study was 146 This is the second edition of this text on survival analysis, originallypublishedin1996. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. New York: Springer-Verlag. Survival analysis : a self-learning text. 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. (Statistics for Biology and Health series) by David G. Kleinbaum. New York, NY: Springer Science, Business Media, LLC. Survival Analysis: A Self-Learning Text: Kleinbaum, David G, Klein, Mitchel: Amazon.nl Selecteer uw cookievoorkeuren We gebruiken cookies en vergelijkbare tools om uw winkelervaring te verbeteren, onze services aan te bieden, te begrijpen hoe klanten onze services gebruiken zodat we verbeteringen kunnen aanbrengen, en om advertenties weer te geven. David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Download for offline reading, highlight, bookmark or take notes while you read Survival Analysis: A Self-Learning Text, Third Edition, Edition 3. Survival Analysis: A Self-Learning Text (2nd ed.) [David G Kleinbaum; Mitchel Klein] -- "This 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. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. Survival analysis: A self-learning text (2nd ed.). Third Edition, Springer-Verlag, Berlin. This 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. Survival Analysis: A Self-Learning Text, Third Edition, Edition 3 - Ebook written by David G. Kleinbaum, Mitchel Klein. has been cited by the following article: TITLE: Modeling Time in Medical Education Research: The Potential of New Flexible Parametric Methods of Survival Analysis. Read this book using Google Play Books app on your PC, android, iOS devices. He has provided extensive worldwide short-course training in over 150 short courses on statistical and epidemiological methods. Survival Analysis: A Self-Learning Text, Third Edition David G. Kleinbaum , Mitchel Klein (auth.) Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. Kleinbaum, D.G. Survival Analysis: A Self-Learning Text: Kleinbaum, David, Klein, Mitchel: Amazon.com.mx: Libros Dr. Kleinbaum is internationally known for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. ; Klein, M. 1996. Survival analysis.