Opening book details…
Can I read Survival Analysis on EtoBox?
Survival Analysis by David G. Kleinbaum & Mitchel Klein is a nonfiction available to read on EtoBox.
What is Survival Analysis about?
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 firsttwo editions with one new chapter, additionalsections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-stepinstructions for using the computer packages STATA, SAS, and SPSS, is expandedtoinclude 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
Who reads Survival Analysis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- David G. Kleinbaum & Mitchel Klein
- Publisher
- Springer
- Published
- 2011
- Language
- EN
- Category
- nonfiction
- Subjects
- Science, Stem
More by David G. Kleinbaum & Mitchel Klein
Browse all works by David G. Kleinbaum & Mitchel Klein
Similar books
- Survival Analysis: Proportional and Non-Proportional Hazards Regression (Springer the Data Sciences) — John O'Quigley (2021)
- Counting Processes and Survival Analysis — Thomas R. Fleming; David P. Harrington (1991)
- SAS Survival Analysis Techniques for Medical Research, Second Edition — Alan B. Cantor (2003)
- Applied Survival Analysis: Regression Modeling of Time to Event Data — David Hosmer, Stanley Lemeshow, Susanne May (2008)
- Applied Survival Analysis Using R (Use R!) — Dirk F. Moore (auth.) (2016)
- Bayesian Survival Analysis (Springer Series in Statistics) — Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha (2010)