A Bayesian model to estimate the cutoff value of TSH for management of preterm birth

• Maryam Rahmati,

  Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

  Affiliation Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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• Sima Nazarpour,

  Roles Conceptualization, Investigation, Writing – review & editing

  Affiliations Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Department of Midwifery, Varamin-Pishva Branch, Islamic Azad University, Tehran, Iran

  https://orcid.org/0000-0001-7972-2513

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• Sonia Minooee,

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

  Affiliation Centre for Midwifery, Child and Family Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia

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• Samira Behboudi-Gandevani ,

  Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

  * E-mail: samira.behboudi-gandevani@nord.no

  Affiliation Faculty of Nursing and Health Sciences, Nord University, Bodø, Norway

  https://orcid.org/0000-0003-3526-640X

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• Fereidoun Azizi,

  Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing

  Affiliation Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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• Fahimeh Ramezani Tehrani

  Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

  Affiliation Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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