Index Catalog // Emory Theses and Dissertations

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1. Innovative methods for investigating the genetic architecture of complex human traits

Student Name:: Head, Susan
Date Uploaded:: 04/22/2024
Research Field:: Biology, Biostatistics
Department:: Biostatistics

2. Novel Machine Learning Methods for Genomic Data Analysis

Student Name:: Wang, Shiyu
Date Uploaded:: 04/18/2024
Research Field:: Artificial Intelligence, Biology, Biostatistics, and Statistics
Department:: Biostatistics

3. Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials

Student Name:: Schader, Lindsey
Date Uploaded:: 11/21/2023
Research Field:: Statistics
Department:: Biostatistics

4. Statistical Methods for Disease Surveillance Based on Multiple Data Streams

Student Name:: Zhang, Yuzi
Date Uploaded:: 07/25/2023
Research Field:: Biology, Biostatistics and Health Sciences, Epidemiology
Department:: Biostatistics

5. Advances in Causal Inference to Support Vaccine Development and Evaluation

Student Name:: Jin, Yutong
Date Uploaded:: 07/23/2023
Research Field:: Biology, Biostatistics and Statistics
Department:: Biostatistics

6. New Statistical Methods for Analyzing Microbiome Data

Student Name:: Yue, Ye
Date Uploaded:: 06/06/2023
Research Field:: Biology, Biostatistics
Department:: Biostatistics

7. Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status

Student Name:: Ge, Lin
Date Uploaded:: 04/28/2023
Research Field:: Statistics, Mathematics, and Health Sciences, Epidemiology
Department:: Biostatistics

8. Deciphering the Cell Type Specific Activities from High-throughput Omics Data

Student Name:: Chen, Luxiao
Date Uploaded:: 04/28/2023
Research Field:: Biology, Biostatistics
Department:: Biostatistics

9. Flexible and Robust Methods for Evaluating Covariate Effects on Biomedical Outcomes

Student Name:: Cui, Ying
Date Uploaded:: 04/25/2023
Research Field:: Biology, Biostatistics
Department:: Biostatistics

10. Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems

Student Name:: Nizam, Sohail
Date Uploaded:: 04/07/2023
Research Field:: Statistics and Computer Science
Department:: Biostatistics

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