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09/15/2023
Fisher's combined probability test for cross-sectional independence in panel data models with serial correlation
Testing cross-sectional independence in panel data models is of fundamen...
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07/09/2023
Doubly Flexible Estimation under Label Shift
In studies ranging from clinical medicine to policy research, complete d...
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02/06/2023
Network Autoregression for Incomplete Matrix-Valued Time Series
We study the dynamics of matrix-valued time series with observed network...
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12/31/2022
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
We study estimation and testing in the Poisson regression model with noi...
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12/05/2022
Matrix-valued Network Autoregression Model with Latent Group Structure
Matrix-valued time series data are frequently observed in a broad range ...
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11/05/2022
Testing for high-dimensional white noise
Testing for multi-dimensional white noise is an important subject in sta...
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04/17/2022
A Flexible Bias Correction Method based on Inconsistent Estimators
An important challenge in statistical analysis lies in controlling the e...
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04/05/2022
Semiparametric Approach to Estimation of Marginal and Quantile Effects
We consider a semiparametric generalized linear model and study estimati...
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11/19/2021
Flexible Inference of Optimal Individualized Treatment Strategy in Covariate Adjusted Randomization with Multiple Covariates
To maximize clinical benefit, clinicians routinely tailor treatment to t...
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10/18/2021
Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Large clinical datasets derived from insurance claims and electronic hea...
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09/24/2021
Learning non-monotone optimal individualized treatment regimes
We propose a new modeling and estimation approach to select the optimal ...
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08/10/2021
Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
We study the problem of estimating a functional or a parameter in the co...
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02/28/2021
Covariate balancing for causal inference on categorical and continuous treatments
We propose novel estimators for categorical and continuous treatments by...
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02/25/2021
Efficient computational algorithms for approximate optimal designs
In this paper, we propose two simple yet efficient computational algorit...
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11/08/2020
Semiparametric regression of mean residual life with censoring and covariate dimension reduction
We propose a new class of semiparametric regression models of mean resid...
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01/28/2020
Optimal subsampling for quantile regression in big data
We investigate optimal subsampling for quantile regression. We derive th...
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01/28/2020
Inference in High-Dimensional Linear Measurement Error Models
For a high-dimensional linear model with a finite number of covariates m...
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07/08/2019
A Versatile Estimation Procedure without Estimating the Nonignorable Missingness Mechanism
We consider the estimation problem in a regression setting where the out...
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01/30/2019
Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients
Building phenotype models using electronic health record (EHR) data conv...
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11/05/2018
Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect
When estimating the treatment effect in an observational study, we use a...
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11/02/2018
Semiparametric Mixture Regression with Unspecified Error Distributions
In fitting a mixture of linear regression models, normal assumption is t...
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04/03/2018
A spline-assisted semiparametric approach to non-parametric measurement error models
Nonparametric estimation of the probability density function of a random...
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10/15/2017
Efficient Estimation for Dimension Reduction with Censored Data
We propose a general index model for survival data, which generalizes ma...
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03/12/2015