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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Climate Change and Malnutrition Among Under-5 Children in Guatemala from 2000 to 2017
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Characteristics of Vasectomy Recipients in the United States During the COVID-19 Pandemic
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Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
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Sexual Activity and Attraction, Relationship Status, and Mental Well-Being in Transgender and Gender Diverse People
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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
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The association between neighborhood deprivation and DNA methylation in an autopsy cohort
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Jailbirds: A Machine-Learning Approach to Measuring Racial and Ethnic Disparities in Bail Setting
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Generalized Quantile Random Forest with Smoothed Estimating Equations
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Clustering the Liver Measures of Women Living with HIV
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Temporal Resolution vs. Accuracy of Rhesus Macaques’ Social Network Based on RFID Tracking Data
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Assessing the Economic Premium of Communist Party Membership
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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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Semiparametric Efficient Designs with Staggered Rollouts
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Efficient Training of Input Convex Neural Networks Using Variable Projection
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Detecting Training Data Biases: MLR And Graphical LASSO Based Methods
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Sentiment-based Open-domain Event Detection for COVID-19
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Adverse Outcomes Associated with Beers List Medications Following Total Knee Replacement
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