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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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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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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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Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
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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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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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