HormoneBayes: A novel Bayesian framework for the analysis of pulsatile hormone dynamics

• Margaritis Voliotis ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Writing – original draft

  * E-mail: m.voliotis@exeter.ac.uk

  Affiliation Department of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom

  https://orcid.org/0000-0001-6488-7198

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• Ali Abbara,

  Roles Data curation, Investigation, Methodology, Resources, Writing – review & editing

  Affiliation Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom

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• Julia K. Prague,

  Roles Data curation, Investigation, Resources, Writing – review & editing

  Affiliations Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom, Department of Diabetes and Endocrinology, MacLeod Diabetes and Endocrine Centre, Royal Devon and Exeter Hospital, Exeter, United Kingdom, College of Medicine and Health, University of Exeter, Exeter, United Kingdom

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• Johannes D. Veldhuis,

  Roles Resources, Writing – review & editing

  Affiliation Emeritus Mayo Clinic, Rochester, Michigan, United States of America

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• Waljit S. Dhillo,

  Roles Investigation, Resources, Writing – review & editing

  Affiliation Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom

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• Krasimira Tsaneva-Atanasova

  Roles Investigation, Methodology, Writing – review & editing

  Affiliation Department of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom

  https://orcid.org/0000-0002-6294-7051

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