Survival Analysis A Self Learning Text, Third Edition by Kleinbaum, David G., Klein, Mitchel [Springer,2011] (Hardcover) 3rd Edition

by David G. Kleinbaum

Survival Analysis A Self Learning Text, Third Edition by Kleinbaum, David G., Klein, Mitchel. Published by Springer,2011, Hardcover 3rd Edition

Genres: Textbooks

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