- Survival Modeling and Adaptive Treatment Switching

Author(s):  
Raphael Sonabend ◽  
Franz J Király ◽  
Andreas Bender ◽  
Bernd Bischl ◽  
Michel Lang

Abstract Motivation As machine learning has become increasingly popular over the last few decades, so too has the number of machine learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for survival analysis. This is problematic considering its importance in fields like medicine, bioinformatics, economics, engineering, and more. mlr3proba provides a comprehensive machine learning interface for survival analysis and connects with mlr3’s general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modeling and evaluation. Availability mlr3proba is available under an LGPL-3 license on CRAN and at https://github.com/mlr-org/mlr3proba, with further documentation at https://mlr3book.mlr-org.com/survival.html.


2021 ◽  
pp. 115749
Author(s):  
Hossain Kordestani ◽  
Roghayeh Mojarad ◽  
Abdelghani Chibani ◽  
Kamel Barkaoui ◽  
Yacine Amirat ◽  
...  

Biometrics ◽  
2009 ◽  
Vol 65 (3) ◽  
pp. 762-771 ◽  
Author(s):  
Maria De Iorio ◽  
Wesley O. Johnson ◽  
Peter Müller ◽  
Gary L. Rosner

2010 ◽  
Vol 37 (3) ◽  
pp. 246-253 ◽  
Author(s):  
N. Ya. Weisman ◽  
M. D. Golubovsky ◽  
N. K. Zenkov ◽  
E. B. Menshchikova ◽  
V. N. Pashin

Sign in / Sign up

Export Citation Format

Share Document