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Ph.D.
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Research Field
Statistics
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Novel Machine Learning Methods for Genomic Data Analysis
1 of 10
Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
2 of 10
Advances in Causal Inference to Support Vaccine Development and Evaluation
3 of 10
Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
6 of 10
Statistical Methods for Analyzing Compositional Human Microbiome Data
7 of 10
Statistical Methods for Mediation Analysis of Omics Data
8 of 10
Statistical approaches to understanding between and within host dynamics of infectious disease agent replication
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Prediction Approaches for High-dimensional and Complex Neuroimaging Data
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Year
Spring 2022
6
Fall 2017
4
Summer 2021
4
Spring 2020
3
Summer 2019
3
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School
Laney Graduate School
38
Department
Biostatistics
32
Biological and Biomedical Sciences
2
Computer Science and Informatics
1
Economics
1
Epidemiology
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Departments
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Degree
Ph.D.
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38
Submission Type
Dissertation
38
Research Field
Statistics
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38
Biology, Biostatistics
14
Computer Science
5
Health Sciences, Public Health
5
Biology, Bioinformatics
3
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Committee
Hao Wu, Emory University
6
Chang, Howard, Emory University
5
Waller, Lance, Emory University
5
John Hanfelt, Emory University
4
Manatunga, Amita, Emory University
4
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Keyword
Causal Inference
5
Machine Learning
4
Deep Learning
3
Causal inference
2
Epigenetics
2
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