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Biostatistics
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Statistical Methods for Disease Surveillance Based on Multiple Data Streams
1 of 10
Advances in Causal Inference to Support Vaccine Development and Evaluation
2 of 10
New Statistical Methods for Analyzing Microbiome Data
3 of 10
Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
4 of 10
Deciphering the Cell Type Specific Activities from High-throughput Omics Data
5 of 10
Flexible and Robust Methods for Evaluating Covariate Effects on Biomedical Outcomes
6 of 10
Association Study between Diseases and Human Tissue-Specific Epigenomes
7 of 10
Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
8 of 10
Genome-wide TWAS of brain and blood tissues identifies novel risk genes for Alzheimer’s disease dementia
9 of 10
Exploring the Genetics and Biological Pathways of Obesity through Computational Biology and Statistical Approaches
10 of 10
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Year
Spring 2020
54
Spring 2019
41
Spring 2018
28
Spring 2023
23
Spring 2024
19
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School
Rollins School of Public Health
178
Laney Graduate School
102
Department / Specialty
Biostatistics
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280
Degree
M.S.P.H.
122
M.P.H.
49
Ph.D.
45
PhD
45
MS
10
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Degrees
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Submission Type
Master's Thesis
185
Dissertation
95
Research Field
Biology, Biostatistics
183
Statistics
107
Health Sciences, Public Health
48
Biology, Bioinformatics
31
Health Sciences, Epidemiology
22
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Committee
Waller, Lance, Emory University
28
Lyles, Robert, Emory University
24
Manatunga, Amita, Emory University
22
Chang, Howard, Emory University
16
Hao Wu, Emory University
15
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Committees
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Keyword
Machine Learning
12
Survival Analysis
12
Biostatistics
10
Causal Inference
6
Clustering
5
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