Found 10 papers
Sorted by: Newest FirstHigher criticism for rare and weak non-proportional hazard deviations in survival analysis
A Kipnisand others
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning
Antonio R. Linero, Piyali Basak, Camille Maringe et al.
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data
Pan Zhao, Shu Yang, Julie Josse
An individualized treatment regime (ITR) is a decision rule that assigns treatments based on patients' characteristics. The value function of an ITR i...
Efficient nonparametric estimators of discrimination measures with censored survival data
Torben Martinussen, Marie Skov Breum
Checking the Cox Proportional Hazards Model with Interval-Censored Data
Yangjianchen Xu, Donglin Zeng, D. Y. Lin
Communication-Efficient Distributed Estimation and Inference for Cox’s Model
Jianqing Fan, Pierre Bayle, Zhipeng Lou
Multicalibration for Modeling Censored Survival Data with Universal AdaptabilityGet access
Hanxuan YeandHongzhe Li
Modelling tree survival for investigating climate change effects
Nicole Augustin, Axel Albrecht, Karim Anaya-Izquierdo et al.
Multicalibration for Modeling Censored Survival Data with Universal Adaptability
Hanxuan Ye, Hongzhe Li
Abstract
Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates
Dayu Sun, Zhuowei Sun, Xingqiu Zhao et al.