Louis Ehwerhemuepha Ph.D.,
Michael Schwartz, Ph.D., Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods
Kyle Anderson, Ph.D., Contributions to Variable Selection in Complexly Sampled Case-control Models, Epidemiology of 72-hour Emergency Department Readmission, and Out-of-site Migration Rate Estimation Using Pseudo-tagged Longitudinal Data
Christopher Watkins, Ph.D., Novel Statistical and Machine Learning Methods for the Forecasting and Analysis of Major League Baseball Player Performance
Sidy Danioko, Ph.D., A Novel Correction for the Adjusted Box-Pierce Test — New Risk Factors for Emergency Department Return Visits within 72 hours for Children with Respiratory Conditions — General Pediatric Model for Understanding and Predicting Prolonged Length of Stay
Jianwei Zheng, Ph.D., Optimal Analytical Methods for High Accuracy Cardiac Disease Classification and Treatment Based on ECG Data
Arin Ghazarian, Ph.D., Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis
Alex Barrett, Ph.D., Forecasting the Prices of Cryptocurrencies using a Novel Parameter Optimization of VARIMA Models
Hanna Lu, Ph.D., Advances in NLP Algorithms on Unstructured Medical Notes Data and Approaches to Handling Class Imbalance Issues
Ehsan Yaghmaei, Ph.D., Causal Inference Methods for Estimation of Survival and General Health Status Measures of Alzheimer’s Disease Patients
Albert Pierce, Ph.D., Causal Inference and Machine Learning Methods in Parkinson’s Disease Data Analysis
Yesha Patel, Ph.D., Applications of Causal Inference Methods for the Estimation of Effects of Bone Marrow Transplant and Prescription Drugs on Survival of Aplastic Anemia Patients
Duncan Ofosu, Ph.D., Integrating LLMs and Causal Inference: Comparing Oral Anticoagulant Effects on Thrombosis Recurrence, Bleeding Risk and Death Using MIMIC-IV Data