Showing 1 - 5 results of 5 for search 'Marie Stoner', query time: 0.03s Refine Results
  1. 1
    Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation.

    Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation. by Emily Hadley, Sarah Rhea, Kasey Jones, Lei Li, Marie Stoner, Georgiy Bobashev

    Published 2022-01-01
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  2. 2
    Lessons learned from the rapid development of a statewide simulation model for predicting COVID-19's impact on healthcare resources and capacity.

    Lessons learned from the rapid development of a statewide simulation model for predicting COVID-19's impact on healthcare resources and capacity. by Stacy Endres-Dighe, Kasey Jones, Emily Hadley, Alexander Preiss, Caroline Kery, Marie Stoner, Susan Eversole, Sarah Rhea

    Published 2021-01-01
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  3. 3
    Alterations in Functional Connectivity Measured by Functional Magnetic Resonance Imaging and the Relationship With Heart Rate Variability in Subjects After Performing Orgasmic Meditation: An Exploratory Study

    Alterations in Functional Connectivity Measured by Functional Magnetic Resonance Imaging and the Relationship With Heart Rate Variability in Subjects After Performing Orgasmic Medi... by Andrew B. Newberg, Andrew B. Newberg, Nancy A. Wintering, Chloe Hriso, Faezeh Vedaei, Marie Stoner, Reneita Ross

    Published 2021-11-01
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  4. 4
    Lessons learned from the rapid development of a statewide simulation model for predicting COVID-19’s impact on healthcare resources and capacity

    Lessons learned from the rapid development of a statewide simulation model for predicting COVID-19’s impact on healthcare resources and capacity by Stacy Endres-Dighe, Kasey Jones, Emily Hadley, Alexander Preiss, Caroline Kery, Marie Stoner, Susan Eversole, Sarah Rhea

    Published 2021-01-01
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    Article
  5. 5
    Improving preterm newborn identification in low-resource settings with machine learning.

    Improving preterm newborn identification in low-resource settings with machine learning. by Katelyn J Rittenhouse, Bellington Vwalika, Alexander Keil, Jennifer Winston, Marie Stoner, Joan T Price, Monica Kapasa, Mulaya Mubambe, Vanilla Banda, Whyson Muunga, Jeffrey S A Stringer

    Published 2019-01-01
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