Author: David G. Kleinbaum
Edition: 3rd ed. 2012
Binding: Hardcover
ISBN: 1441966455
Edition: 3rd ed. 2012
Binding: Hardcover
ISBN: 1441966455
Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)
An excellent introduction for all those coming to the subject for the first time.
Categories: Survival analysis (Biometry), Failure time data analysis. Contributors: Rupert G. Miller - Author. Format: Paperback
New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough
Survival Analysis: Techniques for Censored and Truncated Data
Categories: Survival analysis (Biometry). Contributors: John P. Klein - Author. Format: Hardcover
Categories: Failure time data analysis, Survival analysis (Biometry). Contributors: Nicholas P. Jewell - Author. Format: Hardcover
Frailty Models in Survival Analysis (Chapman & Hall CRC Biostatistics Series) - Andreas Wienke
Categories: Medicine->Research->Statistical methods, Survival analysis (Biometry). Contributors: Alan Cantor - Author. Format: Paperback
Download Survival Analysis
New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises
Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough