logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Dynamic Regression Models For Survival Data Softcover Reprint Of Hardcover 1st Ed 2006 Torben Martinussen

  • SKU: BELL-1804842
Dynamic Regression Models For Survival Data Softcover Reprint Of Hardcover 1st Ed 2006 Torben Martinussen
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Dynamic Regression Models For Survival Data Softcover Reprint Of Hardcover 1st Ed 2006 Torben Martinussen instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 9.31 MB
Pages: 450
Author: Torben Martinussen, Thomas H. Scheike
ISBN: 9781441919045, 144191904X
Language: English
Year: 2005
Edition: Softcover reprint of hardcover 1st ed. 2006

Product desciption

Dynamic Regression Models For Survival Data Softcover Reprint Of Hardcover 1st Ed 2006 Torben Martinussen by Torben Martinussen, Thomas H. Scheike 9781441919045, 144191904X instant download after payment.

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the aim of describing time-varying effects of explanatory variables. Use of the suggested models and methods is illustrated on real data examples, using the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets.

Related Products