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New Insights in Computational Methods for Pharmacovigilance: E-Synthesis , a Bayesian Framework for Causal Assessment

Author

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  • Francesco De Pretis

    (Department of Biomedical Sciences and Public Health, Marche Polytechnic University, 60126 Ancona, Italy
    Department of Communication and Economics, University of Modena and Reggio Emilia, 42121 Reggio Emilia, Italy
    Current address: Via Tronto 10/A, 60126 Ancona, Italy.
    These authors contributed equally to this work.)

  • Barbara Osimani

    (Department of Biomedical Sciences and Public Health, Marche Polytechnic University, 60126 Ancona, Italy
    Munich Center for Mathematical Philosophy, Ludwig-Maximilians-Universität München, 80539 München, Germany
    These authors contributed equally to this work.)

Abstract

Today’s surge of big data coming from multiple sources is raising the stakes that pharmacovigilance has to win, making evidence synthesis a more and more robust approach in the field. In this scenario, many scholars believe that new computational methods derived from data mining will effectively enhance the detection of early warning signals for adverse drug reactions, solving the gauntlets that post-marketing surveillance requires. This article highlights the need for a philosophical approach in order to fully realize a pharmacovigilance 2.0 revolution. A state of the art on evidence synthesis is presented, followed by the illustration of E-Synthesis , a Bayesian framework for causal assessment. Computational results regarding dose-response evidence are shown at the end of this article.

Suggested Citation

  • Francesco De Pretis & Barbara Osimani, 2019. "New Insights in Computational Methods for Pharmacovigilance: E-Synthesis , a Bayesian Framework for Causal Assessment," IJERPH, MDPI, vol. 16(12), pages 1-19, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2221-:d:242461
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    References listed on IDEAS

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    1. Georg Gutjahr & Björn Bornkamp, 2017. "Likelihood ratio tests for a dose-response effect using multiple nonlinear regression models," Biometrics, The International Biometric Society, vol. 73(1), pages 197-205, March.
    2. Andrew Gelman & Christian Hennig, 2017. "Beyond subjective and objective in statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 967-1033, October.
    3. Sarah Watson & Rebecca E. Chandler & Henric Taavola & Linda Härmark & Birgitta Grundmark & Alem Zekarias & Kristina Star & Florence Hunsel, 2018. "Safety Concerns Reported by Patients Identified in a Collaborative Signal Detection Workshop using VigiBase: Results and Reflections from Lareb and Uppsala Monitoring Centre," Drug Safety, Springer, vol. 41(2), pages 203-212, February.
    4. F. Bretz & J. C. Pinheiro & M. Branson, 2005. "Combining Multiple Comparisons and Modeling Techniques in Dose-Response Studies," Biometrics, The International Biometric Society, vol. 61(3), pages 738-748, September.
    5. Anna K Jönsson & Henrik Lövborg & Wolfgang Lohr & Bertil Ekman & Joacim Rocklöv, 2017. "Increased Risk of Drug-Induced Hyponatremia during High Temperatures," IJERPH, MDPI, vol. 14(7), pages 1-6, July.
    6. Fabiana Rossi Varallo & Cleopatra S Planeta & Maria Teresa Herdeiro & Patricia de Carvalho Mastroianni, 2017. "Imputation of adverse drug reactions: Causality assessment in hospitals," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-10, February.
    7. David J. Spiegelhalter & Laurence S. Freedman & Mahesh K. B. Parmar, 1994. "Bayesian Approaches to Randomized Trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 157(3), pages 357-387, May.
    8. Valentin Amrhein & Sander Greenland & Blake McShane, 2019. "Scientists rise up against statistical significance," Nature, Nature, vol. 567(7748), pages 305-307, March.
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    Cited by:

    1. Elena Rocca & Rani Lill Anjum, 2020. "Causal Evidence and Dispositions in Medicine and Public Health," IJERPH, MDPI, vol. 17(6), pages 1-18, March.

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