585 citations · 1.7k across the 57 of their papers we have counts for
Showing 2019 · stat.MEShow all
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stat.ME2019★ 8 cited
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty, Jiarui Lu, T. Tony Cai +1
We consider high dimensional -estimation in settings where the response is possibly missing at random and the covariates can be high dimensiona…
stat.ME2019★ 8 cited
Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach
Sai Li, Tony T. Cai, Hongzhe Li
Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown par…
stat.ME2019★ 3 cited
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models
Tianxi Cai, Tony Cai, Zijian Guo
The ability to predict individualized treatment effects (ITEs) based on a given patient's profile is essential for personalized medicine. We propose a hypothesis testing approach t…