z-logo
open-access-imgOpen Access
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Methods for Time-to-Event Analysis Through the IPEC Score
Author(s) -
Camila Fernández,
Chung Shue Chen,
Pierre Gaillard,
Alonso Silva
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - weibull distribution , parametric statistics , boosting (machine learning) , proportional hazards model , gradient boosting , parametric model , computer science , survival analysis , random forest , event (particle physics) , semiparametric model , artificial intelligence , machine learning , statistics , mathematics , physics , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom