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Novel Machine Learning Methods for Genomic Data Analysis
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Omniscience in Adversarial Causal Inference: Implications for Balancing Estimators of Average Treatment Effects
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
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Statistical Methods for Analyzing Compositional Human Microbiome Data
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Prediction Approaches for High-dimensional and Complex Neuroimaging Data
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Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors
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New Statistical Methods for Complex Survival Analysis Problems
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Latent Class Methods for Complex Chronic Disease Data
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Characterizing the Developmental Trajectories for Cerebellar Volumes via Penalized Splines and Derivative Analysis
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