11 citations · 13 across the 4 of their papers we have counts for
6 papers
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
Jessica Gronsbell, Molei Liu, Lu Tian +1
In many contemporary applications, large amounts of unlabeled data are readily available while labeled examples are limited. There has been substantial interest in semi-supervised…
Double/Debiased Machine Learning for Logistic Partially Linear Model
Molei Liu, Yi Zhang, Doudou Zhou
We propose double/debiased machine learning approaches to infer (at the parametric rate) the parametric component of a logistic partially linear model with the binary response foll…
A Note on Debiased/Double Machine Learning Logistic Partially Linear Model
Molei Liu
It is of particular interests in many application fields to draw doubly robust inference of a logistic partially linear model with the predictor specified as combination of a targe…
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
Molei Liu, Yin Xia, Kelly Cho +1
Identifying informative predictors in a high dimensional regression model is a critical step for association analysis and predictive modeling. Signal detection in the high dimensio…
Individual Data Protected Integrative Regression Analysis of High-dimensional Heterogeneous Data
Tianxi Cai, Molei Liu, Yin Xia
Evidence-based decision making often relies on meta-analyzing multiple studies, which enables more precise estimation and investigation of generalizability. Integrative analysis of…
Modeling Coefficient Alpha for Measurement of Individualized Test Score Internal Consistency
Molei Liu, Ming Hu, Xiaohua Zhou
A method for measuring individualized reliability of several tests on subjects with heterogenecity is proposed. A regression model is developed based on three sets of generalized e…