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Novel Model-based Methods for High-throughput Genomics Data Analysis
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Machine Learning Methods in Large Scale Neuroimaging Study
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Statistical Methods for Omics Data Integration
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Statistical Methods for Incomplete Big Data
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Statistical Methods for Handling Missing Data in Functional Data Analysis
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Estimation of Influenza Vaccine Effectiveness from Observational Studies
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Statistical Methods for Correlated Count Data
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Statistical Learning Methods for Big Biomedical Data
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Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
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Statistical Methods for Biomedical Network Data
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Measurement error methods for unmeasured confounding and pooling
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Statistical Methods for Estimating and Analyzing Brain Functional Connectivity
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Statistical Methods for High-throughput Epigenomics Data
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Statistical Methods for Evaluating Continuous and Functional Diagnostic Markers
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Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
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Development of Statistical Methods for Multiple-Hypotheses Testing
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Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillance Systems
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Network-Based Machine Learning Methods for Omics Data
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Novel Statistical and Machine Learning Methods with Application to Brain Imaging Data
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Estimates of Influenza Vaccine Effectiveness from Observational Studies
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