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Statistical Methods for Disease Surveillance Based on Multiple Data Streams
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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New Statistical Methods for Analyzing Microbiome Data
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Deciphering the Cell Type Specific Activities from High-throughput Omics Data
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Flexible and Robust Methods for Evaluating Covariate Effects on Biomedical Outcomes
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Statistical Methods for Analyzing Microbiome Data
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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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Brain Network-Based Statistical Approaches for Neuroimaging 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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Development of Statistical Methods for Multiple-Hypotheses Testing
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Statistical Methods for Evaluating Continuous and Functional Diagnostic Markers
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Statistical Methods for High-throughput Epigenomics Data
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Measurement error methods for unmeasured confounding and pooling
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Statistical Methods for Biomedical Network Data
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Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
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Statistical Learning Methods for Big Biomedical Data
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