Taj Jones-McCormick

TBD Co-supervised with Aukosh Jagannath

Xianwei Li

Penalized EM for Multistate Models under Interval Censoring Co-supervised with Richard J. Cook

Yechao Meng (2022)

Mortality Forecasting Using Statistical Learning Approaches Co-supervised with Chengguo Weng

Ce Yang (2021)

Topics in Study Design and Analysis Involving Incomplete Data Co-supervised with Richard J. Cook

Haoxin Zhuang (2021)

Correlated Data Analysis with Copula Models or Bayesian Nonparametric Methods Co-supervised with ​Grace Y. Yi

Meaghan S. Cuerden (2018)

Marginal Causal Sub-Group Analysis with Incomplete Covariate Data Co-supervised with Cecilia Cotton and Richard J. Cook

Frank Chen (2024)

Mortality Modeling and Improvement Projections: A Study on Canadian Population

Xinjie Qiao (2024)

Bootstrapping Strategies for Random Forest

Shuxin Zheng (2024)

Generative Methods for Causal Inference

Yixing Zhao (2024)

Polya Trees for Right-Censored Data

Yushan Chen （2023）

Classification Trees for Mismeasured Binary Responses

Abetare Marevci (2023)

Multiple Imputation of Missing Covariate Data with Decision Trees

Ta j Jones-McCormick (2022)

Applications of YOLO Models for Table Detection

Tamrah Brown (2018)

Analysis of Longitudinal Agriculture Data Using Credibility Regression Trees

Xingyu Hu (2017)

Regression Trees and Random Forests with Bregman Divergences