171 citations · 173 across the 11 of their papers we have counts for
7 papers · 1 filter
Transporting Trial Evidence Under Posterior Drift and Possible Hidden Confounding
Xilin Mao, Bosen Cui, Yuhong Yang
Randomized trials provide internally valid treatment-effect evidence, but trial participants may not represent the target population. In contrast, observational studies are often c…
Assessing Estimate of CATE from Observational Data via an RCT Study
Bosen Cui, Yuhong Yang
Conditional average treatment effects (CATEs) are increasingly estimated from observational data and used to guide policy and individualized treatment decisions. Before such estima…
Combining pre-trained models via localized model averaging
Ziwen Gao, Baihua He, Yuhong Yang
Many pre-trained models (PTMs) are available in modern applications. Because different PTMs are often trained on different datasets, their performances can vary substantially for d…
Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models
Ze Chen, Jun Liao, Wangli Xu +1
Generalized additive partial linear models (GAPLMs) are appealing for model interpretation and prediction. However, for GAPLMs, the covariates and the degree of smoothing in the no…
Variable Importance Based Interaction Modeling with an Application on Initial Spread of COVID-19 in China
Jianqiang Zhang, Ze Chen, Yuhong Yang +1
Interaction selection for linear regression models with both continuous and categorical predictors is useful in many fields of modern science, yet very challenging when the number…
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…