Baqun Zhang |
Robust Statistical Method for Estimating Optimal Dynamic Treatment Regimes. |
North Carolina State University |
2012 |
Chen-Yen Lin |
Some Recent Developments in Parametric and Nonparametric Regression Models |
North Carolina State University |
2012 |
Chengchun Shi |
On Statistical Learning for Individualized Decision Making with Complex Data. |
North Carolina State University |
2019 |
Daniel Luckett |
Machine Learning for Data-driven Biomedical Decision Making |
University of North Carolina at Chapel Hill |
2018 |
Emil Cornea |
Advanced Biostatistical Methods for Curved and Censored Biomedical Data |
University of North Carolina at Chapel Hill |
2014 |
Emily Butler |
Using Patient Preferences to Estimate Optimal Treatment Strategies for Competing Outcomes |
University of North Carolina at Chapel Hill |
2017 |
Eric Reyes |
Complete Least Squares: A New Variable Screening and Selection Method |
North Carolina State University |
2012 |
Eric Rose |
Methods for Dynamic Treatment Regimes |
North Carolina State University |
2019 |
Fan Li |
Topics and Applications of Weighting Methods in Case-Control and Observational Studies |
Duke University School of Medicine |
2019 |
Fan Wu |
Adaptive Projection Confidence Sets and Data Analyses in Personalized Medicine |
North Carolina State University |
2015 |
Guangning Xu |
Variable Selection in Measurement Error Models |
North Carolina State University |
2014 |
Guanhua Chen |
Statistical Learning for Biomedical Data under Various Forms of Heterogeneity |
University of North Carolina at Chapel Hill |
2014 |
Hana Lee |
Marginal structural Cox models with case-cohort sampling |
University of North Carolina at Chapel Hill |
2013 |
Hongtao Zhang |
Statistical Methods for Correlated Data from Observational Studies |
University of North Carolina at Chapel Hill |
2015 |
Jaeun Choi |
Statistical Methods for Joint Analysis of Survival Time and Longitudinal Data |
University of North Carolina at Chapel Hill |
2010 |
Jin Wang |
Semiparametric Single-Index Models for Optimal Treatment Regimens with Censored Outcomes |
University of North Carolina at Chapel Hill |
2019 |
Jonathan Hibbard |
Harnessing Heterogeneity To Improve Patient Outcomes. |
University of North Carolina at Chapel Hill |
2017 |
Kasturi Talapatra |
Space-filling Exploratory Experimental Design. |
North Carolina State University |
2014 |
Kyle White |
Model-Agnostic Variable Selection Through Measurement Error Model Selection Likelihoods |
North Carolina State University |
2017 |
Lin Dong |
Semiparametric Methods for Decision Making and Causal Effect Generalization. |
North Carolina State University |
2019 |
Michelle Miranda |
Bayesian Analysis of Ultra-High Dimensional Neuroimaging Data |
University of North Carolina at Chapel Hill |
2014 |
Min Jin Ha |
Graphical models for high dimensional genomic data |
University of North Carolina at Chapel Hill |
2013 |
Na Zhang |
Variable Selection for Optimal Treatment Regimes |
North Carolina State University |
2014 |
Phillip Schulte |
Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes. |
North Carolina State University |
2012 |
Poulami Maitra |
Statistical Methods for Data from Case-Cohort Studies |
University of North Carolina at Chapel Hill |
2018 |
Pourab Roy |
Non-parametric and Semi-parametric Estimation in Forward and Backward Recurrence Time Data |
University of North Carolina at Chapel Hill |
2015 |
Qianchuan He |
Variable Selection, Sparse Meta-Analysis and Genetic Risk Prediction for Genome-Wide Association Studies |
University of North Carolina at Chapel Hill |
2012 |
Qiang Sun |
On High Dimensional Sparse Regression and Its Inference |
University of North Carolina at Chapel Hill |
2014 |
Rebecca Hager |
Optimal Dynamic Treatment Regimes from a Classification Perspective for Two Stage Studies with Survival Data. |
North Carolina State University |
2016 |
Rosemary (Zhengzheng) Tang |
Association Analysis of Rare Varients in Sequencing Studies |
University of North Carolina at Chapel Hill |
2014 |
Runchao Jiang |
Robust Learning for Optimal Treatment Strategy with Survival Data. |
North Carolina State University |
2015 |
Ruoqing Zhu |
Tree-based methods for survival analysis and high-dimensional data |
University of North Carolina at Chapel Hill |
2013 |
Sayan Dasgupta |
Non-Parametric and Semi-Parametric Methods for Parsimonious Statistical Learning with Complex Data |
University of North Carolina at Chapel Hill |
2014 |
Sebastian Teran Hidalgo |
Applications of Independence Statistics to Goodness-Of-Fit, Multivariate Change Point Estimation and Clustering of Variables |
University of North Carolina at Chapel Hill |
2016 |
Shuping Ruan |
Optimal Treatment Regimes under Constraints |
North Carolina State University |
2017 |
Steve Hoberman |
Response Adaptive Designs for Highly Successful Treatments, Randomness and Relationship Detection in Clinical Trials |
University of North Carolina at Chapel Hill |
2014 |
Thomas Stewart |
Statistical Learning with Missing Data |
University of North Carolina at Chapel Hill |
2015 |
Xiaofei Bai |
Doubly-robust Estimators in Observational Studies with and without a Stratified Sub-sample. |
North Carolina State University |
2014 |
Xin Zhou |
Machine Learning Techniques for Optimal Treatment Regimes |
University of North Carolina at Chapel Hill |
2015 |
Yichi Zhang |
List-based Interpretable Dynamic Treatment Regimes. |
North Carolina State University |
2016 |
Yingqi Zhao |
Semiparametric and nonparametric methods in data mining and statistical learning with applications in public health surveillance and personalized medicine |
University of North Carolina at Chapel Hill |
2012 |
Yu Deng |
Generalized Change-Point Hazard Models with Censored Data |
University of North Carolina at Chapel Hill |
2016 |
Yue Wang |
Partial Least Squares Methods for Functional Regression Models |
University of North Carolina at Chapel Hill |
2018 |