Survival Analysis: A Self-Learning Text, Third Edition

by David G. Kleinbaum, Mitchel Klein

An excellent introduction for all those coming to the subject for the first time. 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 analyses of real data sets.

Genres: Textbooks

715 pages, Hardcover

First published August 16, 2005

Reviews

[Hojjat Sayyadi · Rating 5 out of 5]

کاربردی ترین کتاب تحلیل بقا از نظر انتقال مفاهیم و نرم افزار

[Kara · Rating 4 out of 5]

If you are looking for an easy to use and understand book on survival analysis basics, I recommend this. The "walk you through it with examples and highlighted key terms" approach is unique among textbooks and make it a go to book for me (I'm an epidemiologist). I appreciate the book's candid discussions on the mathematical assumptions of the models, as well as the many examples of SAS and Stata code. If you have a unique data problem or question (or are a statistician), you may find this doesn't go in depth enough. However, understanding the concepts reviewed in this book will give you a huge leg up professionally--and let you understand just how many people use survival modeling but really know little about it. ;)

[Olatomiwa Bifarin · Rating 4 out of 5]

Standard regression methods will not work for events that are censored (observation partially known), hence survival analysis.

I asked around for where to start on the subject, and I was invariably led to this text. Drs Kleinbaum and Klein delivered on this. Starting from the general introduction to the subject, Kaplan-Meier estimates, Log-rank tests, Nelson-Aalen estimates, RMST, Cox models, etcetera.

I worked through several sections on the text, aided by Python's lifelines package, and it was 👌🏿.

[Rui · Rating 4 out of 5]

I was hoping this can solve the mystery of survival analysis but it didn't. Overall, still a nice approachable book.

[Pilar Devoto · Rating 5 out of 5]

gracias🙏🏻🙏🏻 muy facil de leer