82 citations · 115 across the 12 of their papers we have counts for
5 papers · 1 filter
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
Randomized controlled trials (RCTs) often exhibit limited inferential efficiency in estimating treatment effects due to small sample sizes. In recent years, the combination of exte…
A flexible model-free prediction-based framework for feature ranking
Jingyi Jessica Li, Yiling Chen, Xin Tong
Despite the availability of numerous statistical and machine learning tools for joint feature modeling, many scientists investigate features marginally, i.e., one feature at a time…
Generalized Pearson correlation squares for capturing mixtures of bivariate linear dependences
Jingyi Jessica Li, Xin Tong, Peter J. Bickel
Motivated by the pressing needs for capturing complex but interpretable variable relationships in scientific research, here we generalize the squared Pearson correlation to capture…
A Bootstrap Lasso + Partial Ridge Method to Construct Confidence Intervals for Parameters in High-dimensional Sparse Linear Models
Hanzhong Liu, Xin Xu, Jingyi Jessica Li
Constructing confidence intervals for the coefficients of high-dimensional sparse linear models remains a challenge, mainly because of the complicated limiting distributions of the…
Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristics (NP-ROC)
Xin Tong, Yang Feng, Jingyi Jessica Li
In many binary classification applications such as disease diagnosis and spam detection, practitioners often face great needs to control type I errors (i.e., the conditional probab…