Theses/Dissertations from 2023
High Dimensional Data Analysis: variable screening and inference, lei fang
Statistical Tolerance Regions for Flexible Modeling Paradigms, Yafan Guo
Wilcoxon-Mann-Whitney Effects for Clustered Data: Informative Cluster Size, Changrui Liu
Probabilistic methods for inferring the order of pathway alterations during carcinogenesis and cancer subtype classification, Menghan Wang
Statistical Intervals for Neural Network and its Relationship with Generalized Linear Model, Sheng Yuan
Tolerance Intervals for Various Regression Models, Xitong Zhou
Theses/Dissertations from 2022
Deriving the Distributions and Developing Methods of Inference for R2-type Measures, with Applications to Big Data Analysis, Gregory S. Hawk
BETA MIXTURE AND CONTAMINATED MODEL WITH CONSTRAINTS AND APPLICATION WITH MICRO-ARRAY DATA, Ya Qi
Multivariate Statistical Modeling for Radio-genomics Study, Tiantian Zeng
Theses/Dissertations from 2021
Novel Methods for Characterizing Conditional Quantiles in Zero-Inflated Count Regression Models, Xuan Shi
DIMENSION REDUCTION TECHNIQUES IN REGRESSION, Pei Wang
Innovative Statistical Models in Cancer Immunotherapy Trial Design, Jing Wei
Estimating and Testing Treatment Effects with Misclassified Multivariate Data, Zi Ye
Theses/Dissertations from 2020
Tolerance Intervals for Time Series Models and Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng
Nonparametric Analysis of Clustered and Multivariate Data, Yue Cui
STATISTICAL METHODS IN CANCER CLINICAL TRIAL AND BIOMEDICAL RESEARCH, Xue Ding
Semiparametric and Nonparametric Methods for Comparing Biomarker Levels between Groups, Yuntong Li
Simultaneous Tolerance Intervals for Response Surface and Mixture Designs Using the Adjusted Product Set Method, Aisaku Nakamura
MOMENT KERNELS FOR T-CENTRAL SUBSPACE, Weihang Ren
MEASURING VARIABILITY IN MODEL PERFORMANCE MEASURES, Matthew Rutledge
MEASURING CHANGE: PREDICTION OF EARLY ONSET SEPSIS, Aric Schadler
ESTIMATION OF THE TREATMENT EFFECT WITH BAYESIAN ADJUSTMENT FOR COVARIATES, Li Xu