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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Generative Adversarial Networks as a Method to Produce Elliptic Curves by Rank
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Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of Treatment Effects
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Investigation of relationship between psychosocial profile and cardiovascular health among African Americans
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Identifying land use and meteorological factors associated with the ratio of personal PM2.5 exposures versus ambient concentration in a panel of college students
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Network-Based Machine Learning Methods for Omics Data
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Machine Learning Methods in Large Scale Neuroimaging Study
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