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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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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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Statistical methods for modeling the association between repeated measures of hemoglobin during pregnancy and adverse birth outcomes
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Multi-tissue differential expression analyses between proxy case and control samples
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Using Negative Exposures to Partially Control for Unmeasured Confounders in Time-Series Analysis of Air Pollution and Health
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Investigation of predictability of photo images from different anatomic regions for detecting anemia among preterm infants
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Clustering the Liver Measures of Women Living with HIV
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Iron Biomarker Profiles and Prediction of Iron Deficiency Anemia among Women of Reproductive Age in the US
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A benchmark of rare cell type detection methods for single-cell RNA sequencing data
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Bias in Vaccine Effectiveness Estimation Under Changing Testing Probabilities When Using the Test-Negative Design
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Selection bias and permutation tests in fMRI
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