Jul 01 0 Regularized Regression and Poststratification: Blending Data Science and Survey Methodology to Increase the Reproducibility of Population Genetics Research By Harrison |
Jun 30 0 Towards a Framework for the Characterization of Cellular & Spatial Relationships in Development and Disease By Harrison |
Jun 30 0 Incorporation of Multilevel Ontologies of Adverse Events and Vaccines for Vaccine Safety Surveillance By walshjam |
Jun 30 0 Probabilistic Modeling of Missing Data to Improve Predictions Using Metabolomics Data By Harrison |
Jun 29 0 Improved real-time surveillance of COVID-19 patients’ electronic health records using transfer learning and ordinal regression By walshjam |
Jun 29 0 Markovian And Non-Markovian (Discrete) Spatio-Temporal Processes with Active Decision Making Strategies For Addressing The COVID-19 Pandemic By walshjam |
Jun 29 0 From data to knowledge: Applying the principles of data science to understand preventable inequities in care and support among COVID-19 cases in Michigan By walshjam |
Jun 29 0 Handling Selective and Imperfect Testing in Design and Inference of COVID-19 Studies By walshjam |
