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A Bayesian Hierarchical Excess Mortality Model to Assess the Total Impact of COVID-19 on Opioid Users
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Assessing the Impact of Misclassification in Case-Control Studies: An Examination of Bayesian Credible Intervals
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Estimation of Cognitive Ability in Longitudinal IRT using Univariate Composite Likelihood: Application to the Emory Healthy Brain Study
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Identification of Spatially Variable Genes (SVGs)
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Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics
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Correlation between biomarkers associated with Alzheimer's disease and the cognitive practice effect
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A Density Ratio Super Learner
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Evaluation of Missing Data and Imputation Methods in Environmental Mixtures Analyses using Weighted Quantile Sum regression and Quantile g-computation
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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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Prediction of CBC Hemoglobin Levels for Preterm Infants: Evaluation of Anatomic Regions for Smartphone Photos
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The effect of ambient air pollution on term birth weight and preterm birth in Kansas, 2005-2013
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Evaluating Statistical Approaches to Model Multi-Pollutant Mixtures on Common Bottlenose Dolphin (Tursiops Truncatus) Health Along the Eastern Coast of Florida and South Carolina
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Variable Selection of Neuroimaging Features in Mild Cognitive Impairment
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Improved Algorithm for Independent Component Analysis (ICA) with the Relax and Split Approximation
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Hypothesis testing on the number of components in finite mixture models
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An Application of Bayesian Additive Regression Trees (BART) to Estimate Daily Concentrations of PM2.5 Components in California
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Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of Treatment Effects
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Comparisons of conditional logistic regression vs. a discriminant function approach in a case-control study where matching is performed
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