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Innovative methods for investigating the genetic architecture of complex human traits
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Novel Machine Learning Methods for Genomic Data Analysis
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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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Cell type identification in single-cell genomics and its applications
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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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Characterizing the Molecular Mechanisms Underlying the Health Effects of Fine Particulate Matters among Susceptible Populations via Multi-Omics Analysis
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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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Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches
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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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Investigating genetic associations using power-optimizing analytic approaches
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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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Roles of DNA methylation and hydroxymethylation in aging, immunosenescence, and gene regulation
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Inference of Inter-Individual Heterogeneity in Tuberculosis Transmission
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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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On estimating the spatial distribution of Yersinia pestis in the United States using a wide-ranging sentinel species and spatial statistics with sampling considerations
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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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Statistical Methods for Correlated Count Data
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Estimation of Influenza Vaccine Effectiveness from Observational Studies
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Statistical Methods for Handling Missing Data in Functional Data Analysis
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Statistical Methods for Omics Data Integration
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Novel Model-based Methods for High-throughput Genomics Data Analysis
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