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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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Association Study between Diseases and Human Tissue-Specific Epigenomes
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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
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Genome-wide TWAS of brain and blood tissues identifies novel risk genes for Alzheimer’s disease dementia
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Exploring the Genetics and Biological Pathways of Obesity through Computational Biology and Statistical Approaches
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