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COVID-19 Mitigation Strategies: Implications for Pandemic Control and the Incidence of Drug-Resistant Tuberculosis
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Causal Inference in Multilayered Networks
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The Analysis of COVID-19 Physical and Mental Health Impacts in the United States
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Generative Adversarial Networks as a Method to Produce Elliptic Curves by Rank
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Fitness Estimation for Viral Variants in the Context of Cellular Coinfection
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Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
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Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors
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Flexible Methods to Incorporate Covariates in Latent Class Analysis
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New Statistical Methods for Complex Survival Analysis Problems
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Latent Class Methods for Complex Chronic Disease Data
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