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dc.contributor.authorRahmati, Maryam
dc.contributor.authorNazarpour, Sima
dc.contributor.authorMinooee, Sonia
dc.contributor.authorBehboudi-Gandevani, Samira
dc.contributor.authorAzizi, Fereidoun
dc.contributor.authorTehrani, Fahimeh Ramezani
dc.date.accessioned2023-04-11T13:42:37Z
dc.date.available2023-04-11T13:42:37Z
dc.date.created2023-04-03T08:32:18Z
dc.date.issued2023
dc.identifier.citationRahmati, M., Nazarpour, S., Minooee, S., Behboudi-Gandevani, S., Azizi, F., & Tehrani, F. R., (2023). A Bayesian model to estimate the cutoff value of TSH for management of preterm birth. PLOS ONE, 18(3), Article e0283503. doi:en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/11250/3062438
dc.language.isoengen_US
dc.publisherPLOSen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA Bayesian model to estimate the cutoff value of TSH for management of preterm birthen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Authorsen_US
dc.source.pagenumber15en_US
dc.source.volume18en_US
dc.source.journalPLOS ONEen_US
dc.source.issue3en_US
dc.identifier.doi10.1371/journal. pone.0283503
dc.identifier.cristin2139149
dc.source.articlenumbere0283503en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal