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David Benkeser, Emory University
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Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Improvements in statistical machine learning for current problems in public health
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Trends of authorship equity in global health research in infectious disease over the past two decades
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Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of Treatment Effects
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The Impact of Enhancing Quality of Provider Practices for Older Adults in the Emergency Department (EQUiPPED) on Potentially Inappropriate Medications (PIMs)
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Targeted Maximum Likelihood Estimation to Evaluate Effect of Novel Regimens on Multidrug Resistant Tuberculosis
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