no code implementations • 20 May 2024 • Muxuan Liang, Yang Ning, Maureen A Smith, Ying-Qi Zhao
In this work, we propose a kernel-smoothed decorrelated score to construct hypothesis testing and interval estimations for the linear decision rule estimated using a piece-wise linear surrogate loss, which has a discontinuous gradient and non-regular Hessian.
1 code implementation • 6 Apr 2020 • Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao
These numerical studies have shown the usefulness of the proposed A-ITR framework.
no code implementations • 3 Aug 2018 • Ying-Qi Zhao, Ruoqing Zhu, Guanhua Chen, Yingye Zheng
We propose a new method termed stabilized O-learning for deriving stabilized dynamic treatment regimes, which are sequential decision rules for individual patients that not only adapt over the course of the disease progression but also remain consistent over time in format.
Methodology
1 code implementation • 15 Apr 2018 • Young-Geun Choi, Lawrence P. Hanrahan, Derek Norton, Ying-Qi Zhao
Childhood obesity is associated with increased morbidity and mortality in adulthood, leading to substantial healthcare cost.
Methodology Applications