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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
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Clustering the Liver Measures of Women Living with HIV
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Evaluating the performance of maximum likelihood estimation in a discriminant function framework to account for non-detectable exposure measurements in matched case-control studies
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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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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Statistical Methods for Mediation Analysis of Omics Data
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