1 citations · 1 across the 3 of their papers we have counts for
4 papers
Rank-based transfer learning for high-dimensional survival data with application to sepsis data
Nan Qiao, Haowei Jiang, Cunjie Lin
Sepsis remains a critical challenge due to its high mortality and complex prognosis. To address data limitations in studying MSSA sepsis, we extend existing transfer learning frame…
On Estimation of Optimal Dynamic Treatment Regimes with Multiple Treatments for Survival Data-With Application to Colorectal Cancer Study
Zhishuai Liu, Zishu Zhan, Jian Liu +3
Dynamic treatment regimes (DTR) are sequential decision rules corresponding to several stages of intervention. Each rule maps patients' covariates to optional treatments. The optim…
Optimal subsampling for the Cox proportional hazards model with massive survival data
Nan Qiao, Wangcheng Li, Feng Xiao +2
The use of massive survival data has become common in survival analysis. In this study, a subsampling algorithm is proposed for the Cox proportional hazards model with time-depende…
Optimal integrating learning for split questionnaire design type data
Cunjie Lin, Jingfu Peng, Yichen Qin +2
In the era of data science, it is common to encounter data with different subsets of variables obtained for different cases. An example is the split questionnaire design (SQD), whi…