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The R Package WMAP: Tools for Causal Meta-Analysis by Integrating
Multiple Observational Studies
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2025
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Subharup Guha
Mengqi Xu
Kashish Priyam
Yi Li
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Causal meta-analysis by integrating multiple observational studies with multivariate outcomes
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2024
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Subharup Guha
Yi Li
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CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative
Object REarrangement
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2024
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Chengwen Zhang
Yun Liu
Ruofan Xing
Bingda Tang
Yi Li
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Penalized deep partially linear cox models with application to CT scans of lung cancer patients
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2024
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Yuming Sun
Jian Kang
Chinmay Haridas
Nicholas R. Mayne
Alexandra L. Potter
ChiâFu Jeffrey Yang
David C. Christiani
Yi Li
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A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models
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2024
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Yuan Yang
Jian Kang
Yi Li
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Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU
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2023
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Jiyeon Song
Subharup Guha
Yi Li
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Debiased lasso for stratified Cox models with application to the national kidney transplant data
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2023
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Lu Xia
Bin Nan
Yi Li
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Simultaneous Selection and Inference for Varying Coefficients with Zero Regions: A Soft-Thresholding Approach
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2023
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Yuan Yang
Ziyang Pan
Jian Kang
Chad M. Brummett
Yi Li
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Asynchronous and errorâprone longitudinal data analysis via functional calibration
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2023
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Xinyue Chang
Yehua Li
Yi Li
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Individualized risk assessment of preoperative opioid use by interpretable neural network regression
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2023
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Yuming Sun
Jian Kang
Chad M. Brummett
Yi Li
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Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
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2023
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Ting Li
Chengchun Shi
Zhaohua Lu
Yi Li
Hongtu Zhu
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Causal Integration of Multiple Cancer Cohorts with High-Dimensional Confounders: Bayesian Propensity Score Estimation
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2023
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Subharup Guha
Yi Li
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AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
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2022
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Yi Li
Haochen Hu
J. Y. Zhao
Gus Xia
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Adaptive Sentinel Testing in Workplace for COVID-19 Pandemic
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2022
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Yi Li
Mandy Chen
Joshy George
Edison T. Liu
R. Krishna Murthy Karuturi
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Functional Data Analysis with Covariate-Dependent Mean and Covariance Structures
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2022
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Chenlin Zhang
Huazhen Lin
Li Liu
Jin Liu
Yi Li
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Adaptive sentinel testing in workplace for COVID-19 pandemic
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2022
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Yi Li
Mandy Chen
Joshy George
Edison T. Liu
R. Krishna Murthy Karuturi
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Statistical inference for Cox proportional hazards models with a diverging number of covariates
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2022
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Lu Xia
Bin Nan
Yi Li
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High-Dimensional Gaussian Graphical Regression Models with Covariates
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2022
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Jingfei Zhang
Yi Li
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WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
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2022
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Chu Han
Xipeng Pan
LiâXu Yan
Huan Lin
Bingbing Li
Su Yao
Shanshan Lv
Zhenwei Shi
Jinhai Mai
Jiatai Lin
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Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates
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2022
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Jingfei Zhang
Yi Li
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A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models
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2022
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Yuan Yang
Jian Kang
Yi Li
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Online Active Regression
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2022
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Cheng Chen
Yi Li
Yiming Sun
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A New Integrative Method for Multigroup Comparisons of Censored Survival Outcomes in Multiple Observational Studies
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2022
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Subharup Guha
David C. Christiani
Yi Li
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Asynchronous and Error-prone Longitudinal Data Analysis via Functional Calibration
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2022
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Xinyue Chang
Yehua Li
Yi Li
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Unconfounded Meta-analytical Frameworks for Multivariate Outcomes in Multigroup Observational Studies using Concordant Weights
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2022
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Subharup Guha
David C. Christiani
S. V. Subramanian
Yi Li
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Cluster analysis with regression of nonâGaussian functional data on covariates
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2021
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Jiakun Jiang
Huazhen Lin
Heng Peng
GangâZhi Fan
Yi Li
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Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach
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2021
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Jiakun Jiang
Huazhen Lin
Qingzhi Zhong
Yi Li
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Debiased lasso for generalized linear models with a diverging number of covariates
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2021
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Lu Xia
Bin Nan
Yi Li
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Spectral stability of bacteria pulses for a Keller-Segel chemotactic model
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2021
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Yi Li
Yong Li
Yaping Wu
Zhang Hao
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Feasibility and effectiveness of daily temperature screening to detect COVID-19 in a prospective cohort at a large public university
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2021
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Shelley N. Facente
Lauren A. Hunter
Laura Packel
Yi Li
Anna Harte
Guy Nicolette
Shana L. McDevitt
Maya Petersen
Arthur Reingold
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Inference for High-Dimensional Censored Quantile Regression
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2021
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Zhe Fei
Qi Zheng
Hyokyoung G. Hong
Yi Li
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Stratified Cox models with timeâvarying effects for national kidney transplant patients: A new blockwise steepest ascent method
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2021
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Kevin He
Ji Zhu
Jian Kang
Yi Li
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A Variable Stepsize, Variable Order Family of Low Complexity
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2021
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Victor DeCaria
Ahmet Guzel
William Layton
Yi Li
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Inference for High Dimensional Censored Quantile Regression
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2021
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Zhe Fei
Qi Zheng
Hyokyoung G. Hong
Yi Li
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The Product of Gaussian Matrices is Close to Gaussian
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2021
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Yi Li
David P. Woodruff
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Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates
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2021
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Lu Xia
Bin Nan
Yi Li
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Inference for High-Dimensional Censored Quantile Regression
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2021
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Zhe Fei
Qi Zheng
Hyokyoung G. Hong
Yi Li
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Inference for High Dimensional Censored Quantile Regression
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2021
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Zhe Fei
Qi Zheng
Hyokyoung G. Hong
Yi Li
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Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data
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2020
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Huazhen Lin
Jiaxin Liu
Haoqi Li
Lixian Pan
Yi Li
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Consistent Estimation of Generalized Linear Models with High Dimensional Predictors via Stepwise Regression
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2020
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Alex Pijyan
Qi Zheng
Hyokyoung G. Hong
Yi Li
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Cluster nonâGaussian functional data
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2020
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Qingzhi Zhong
Huazhen Lin
Yi Li
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Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic
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2020
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Hyokyoung G. Hong
Yi Li
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Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic
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2020
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Hyokyoung G. Hong
Yi Li
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Bayesian bent line quantile regression model
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2020
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Yi Li
Zongyi Hu
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A Revisit to De-biased Lasso for Generalized Linear Models
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2020
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Lu Xia
Bin Nan
Yi Li
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Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition
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2020
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Yi Li
Sumi Seo
Kyu Ha Lee
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SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
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2020
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Emily Morris
Kevin He
Yanming Li
Yi Li
Jian Kang
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Semiparametric regression of mean residual life with censoring and covariate dimension reduction
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2020
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Ge Zhao
Yanyuan Ma
Huazhen Lin
Yi Li
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Generalized linear mixed models with Gaussian mixture random effects: Inference and application
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2019
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Lanfeng Pan
Yehua Li
Kevin He
Yanming Li
Yi Li
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Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach
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2019
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Qi Zheng
Hyokyoung G. Hong
Yi Li
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Nonparametric Time-Varying Coefficient Models for Panel Data
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2019
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Huazhen Lin
Hyokyoung G. Hong
Baoying Yang
Wei Liu
Yong Zhang
GangâZhi Fan
Yi Li
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Multiclass Linear Discriminant Analysis With Ultrahigh-Dimensional Features
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2019
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Yanming Li
Hyokyoung G. Hong
Yi Li
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Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach
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2019
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Zhe Fei
Yi Li
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Forward regression for Cox models with high-dimensional covariates
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2019
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Hyokyoung G. Hong
Qi Zheng
Yi Li
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Robust Estimation and Variable Selection for the Accelerated Failure Time Model
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2019
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Yi Li
Muxuan Liang
Lu Mao
Sijian Wang
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Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset
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2019
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Kevin He
Ji Zhu
Jian Kang
Yi Li
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Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach
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2019
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Zhe Fei
Yi Li
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Drawing Inferences for High-Dimensional Linear Models: A Selection-Assisted Partial Regression and Smoothing Approach
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2018
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Zhe Fei
Zhu Ji
Moulinath Banerjee
Yi Li
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A modified partial likelihood score method for Cox regression with covariate error under the internal validation design
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2018
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David M. Zucker
Xin Zhou
Xiaomei Liao
Yi Li
Donna Spiegelman
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False discovery control for penalized variable selections with high-dimensional covariates
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2018
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Kevin He
Xiang Zhou
Hui Jiang
Xiaoquan Wen
Yi Li
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Covariance-insured screening
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2018
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Kevin He
Jian Kang
Hyokyoung G. Hong
Ji Zhu
Yanming Li
Huazhen Lin
Xu Han
Yi Li
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Robust continuous piecewise linear regression model with multiple change points
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2018
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Shurong Shi
Yi Li
Chuang Wan
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Weak signals in highâdimensional regression: Detection, estimation and prediction
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2018
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Yanming Li
Hyokyoung G. Hong
S. Ejaz Ahmed
Yi Li
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SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
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2018
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Emily Morris
Kevin He
Yanming Li
Yi Li
Jian Kang
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Covariance-Insured Screening
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2018
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Kevin He
Jian Kang
Hyokyoung G. Hong
Ji Zhu
Yanming Li
Huazhen Lin
Xu Han
Yi Li
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Efficient Test for Nonlinear Dependence of Two Continuous Variables
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2018
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McKenzie L. Ritter
Yi Li
Yi Wang
Yin Yao
Jin Li
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Feature selection of ultrahigh-dimensional covariates with survival outcomes: a selective review
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2017
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Hyokyoung G. Hong
Yi Li
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Integrated Powered Density: Screening Ultrahigh Dimensional Covariates with Survival Outcomes
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2017
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Hyokyoung G. Hong
Xuerong Chen
David C. Christiani
Yi Li
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A Pairwise Likelihood Augmented Cox Estimator for Left-truncated Data
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2017
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Fan Wu
Sehee Kim
Jing Qin
Rajiv Saran
Yi Li
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Semiparametric Bayesian analysis of high-dimensional censored outcome data
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2017
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Chetkar Jha
Yi Li
Subharup Guha
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Factor analysis of correlation matrices when the number of random variables exceeds the sample size
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2017
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Miguel Marino
Yi Li
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Concordance Measure-based Feature Screening and Variable Selection
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2017
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Yunbei Ma
Yi Li
Huazhen Lin
Yi Li
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Covariate selection for multilevel models with missing data
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2017
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Miguel Marino
Orfeu M. Buxton
Yi Li
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Latent Gaussian Mixture Models for Nationwide Kidney Transplant Center Evaluation
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2017
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Lanfeng Pan
Yehua Li
Kevin He
Yanming Li
Yi Li
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Semiparametric Bayesian analysis of high-dimensional censored outcome data
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2017
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Chetkar Jha
Yi Li
Subharup Guha
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Conditional screening for ultra-high dimensional covariates with survival outcomes
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2016
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Hyokyoung G. Hong
Jian Kang
Yi Li
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Modeling Time-Varying Effects With Large-Scale Survival Data: An Efficient Quasi-Newton Approach
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2016
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Kevin He
Yuan Yang
Yanming Li
Ji Zhu
Yi Li
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Strengthening Instrumental Variables Through Weighting
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2016
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Douglas Lehmann
Yun Li
Rajiv Saran
Yi Li
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A Semiparametrically Efficient Estimator of the TimeâVarying Effects for Survival Data with TimeâDependent Treatment
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2015
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Huazhen Lin
Zhe Fei
Yi Li
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A Semiparametrically Efficient Estimator of Single-index Varying Coefficient Cox Proportional Hazards Models
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2015
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Huazhen Lin
Ming Tan
Yi Li
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Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
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2015
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Kevin He
Yanming Li
Ji Zhu
Hongliang Liu
Jeffrey E. Lee
Christopher I. Amos
Terry Hyslop
Jiashun Jin
Huazhen Lin
Qinyi Wei
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A Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centers
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2015
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Lili Zhao
Jingchunzi Shi
Tempie H. Shearon
Yi Li
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Goodness-of-Fit Tests For Dirichlet Distributions With Applications
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2015
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Yi Li
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A semiparametric copula method for Cox models with covariate measurement error
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2014
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Sehee Kim
Yi Li
Donna Spiegelman
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Score test variable screening
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2014
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Sihai Dave Zhao
Yi Li
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Semiparametric transformation models for semicompeting survival data
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2014
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Huazhen Lin
Ling Zhou
Chunhong Li
Yi Li
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Bulk-surface Correspondence and the Hofstadter Problem of SU(2) Landau Levels in 3D Lattices
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2014
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Yi Li
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Ultrahigh dimensional time course feature selection
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2014
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Peirong Xu
Lixing Zhu
Yi Li
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Clustering Survival Outcomes using Dirichlet Process Mixture
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2014
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Lili Zhao
Jingchunzi Shi
Tempie H. Shearon
Yi Li
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A global partial likelihood estimator of the time-varying effects for time-dependent treatment
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2014
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Huazhen Lin
Zhe Fei
Yi Li
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Analysis of ordinal outcomes with longitudinal covariates subject to missingness
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2013
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Melody S. Goodman
Yi Li
Anne M. Stoddard
Glorian Sorensen
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Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects
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2013
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Kevin He
J. D. Kalbfleisch
Yijiang Li
Yi Li
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Estimating a unitary effect summary based on combined survival and quantitative outcomes
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2013
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Huazhen Lin
Yi Li
Ming Tan
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A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error
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2013
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David M. Zucker
Malka Gorfine
Yi Li
Mahlet G. Tadesse
Donna Spiegelman
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A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error
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2013
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David M. Zucker
Malka Gorfine
Yi Li
Mahlet G. Tadesse
Donna Spiegelman
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Variable selection for censored quantile regression
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2013
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Huixia Wang
Jianhui Zhou
Yi Li
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A Frailty Approach for Survival Analysis with Error-prone Covariate
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2013
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Sehee Kim
Yi Li
Donna Spiegelman
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The dantzig selector for censored linear regression models
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2012
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Yi Li
Lee H. Dicker
Sihai Dave Zhao
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Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event
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2012
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Sehee Kim
Donglin Zeng
Lloyd E. Chambless
Yi Li
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Nonparametric Diagnostic Test for Conditional Logistic Regression
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2012
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Melody S. Goodman
Yi Li
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Principled sure independence screening for Cox models with ultra-high-dimensional covariates
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2011
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Sihai Dave Zhao
Yi Li
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Sure screening for estimating equations in ultra-high dimensions
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2011
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Sihai Dave Zhao
Yi Li
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A New Class of Dantzig Selectors for Censored Linear Regression Models
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2010
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Yi Li
Lee H. Dicker
Sihai Dave Zhao
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A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
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2009
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Megan Othus
Yi Li
Ram C. Tiwari
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Survival Analysis with High-Dimensional Covariates: An Application in Microarray Studies
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2009
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David Engler
Yi Li
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Semiparametric maximum likelihood estimation in normal transformation models for bivariate survival data
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2008
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Yi Li
Ross L. Prentice
Xihong Lin
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Mixture Cure Survival Models With Dependent Censoring
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2007
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Yi Li
Ram C. Tiwari
Subharup Guha
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Random Effects
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2006
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Yi Li
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QUANTIFYING PQL BIAS IN ESTIMATING CLUSTER-LEVEL COVARIATE EFFECTS IN GENERALIZED LINEAR MIXED MODELS FOR GROUP-RANDOMIZED TRIALS
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2005
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Scarlett L. Bellamy
Yi Li
Xihong Lin
Louise Ryan
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A Nonparametric Comparison of Conditional Distributions with Nonnegligible Cure Fractions
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2005
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Yi Li
Jin Feng
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Analysis of clustered and interval censored data from a communityâbased study in asthma
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2004
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Scarlett L. Bellamy
Yi Li
Louise Ryan
Stuart R. Lipsitz
Marina J. Canner
Rosalind J. Wright
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Survival Analysis With Heterogeneous Covariate Measurement Error
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2004
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Yi Li
Louise Ryan
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Survival Analysis with Heterogeneous Covariate Measurement Error
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2004
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Yi Li
Louise Ryan
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Inference on Clustered Survival Data Using Imputed Frailties
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2003
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Yi Li
Louise Ryan
Scarlett L. Bellamy
Glen A. Satten
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Testing the Correlation for Clustered Categorical and Censored Discrete TimeâtoâEvent Data When Covariates Are Measured without/with Errors
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2003
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Yi Li
Xihong Lin
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Functional Inference in Frailty Measurement Error Models for Clustered Survival Data Using the SIMEX Approach
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2003
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Yi Li
Xihong Lin
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Optimal weight functions for marginal proportional hazards analysis of clustered failure time data.
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2002
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Robert J. Gray
Yi Li
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Evolution in minority games. (II). Games with variable strategy spaces
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2000
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Yi Li
Rick Riolo
Robert Savit
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