BioVar: an online biological variation analysis tool

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dc.authoridYucel, Dogan/0000-0001-5487-2857
dc.authoridGOKSULUK, DINCER/0000-0002-2752-7668
dc.authoridSenes, Mehmet/0000-0002-7924-5478
dc.authoridKorkmaz, Selcuk/0000-0003-4632-6850
dc.authorwosidYucel, Dogan/AAM-3022-2021
dc.authorwosidYucel, Dogan/B-3550-2018
dc.authorwosidSenes, Mehmet/AAG-6802-2019
dc.authorwosidGOKSULUK, DINCER/E-9175-2013
dc.contributor.authorKorkmaz, Selcuk
dc.contributor.authorZarasiz, Gokmen
dc.contributor.authorGoksuluk, Dincer
dc.contributor.authorSenes, Mehmet
dc.contributor.authorSonmez, Cem
dc.contributor.authorYucel, Dogan
dc.date.accessioned2024-06-12T10:54:39Z
dc.date.available2024-06-12T10:54:39Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.description.abstractObjectives: Biological variation (BV) analysis of laboratory tests gets increased attention due to its practical applications. These applications include correct interpretation of laboratory tests, the decision on the availability of reference intervals, contributions to clinical decision-making. It is critical to derive the BV information accurately and reliably. Another crucial step is to perform the statistical analysis of the BV data. Although there are updated and comprehensive guidelines, there is no reliable and comprehensive tool to perform statistical analysis of BV data. Methods: We presented BioVar, an online tool for statistical analysis of the BV data based on available and updated guidelines. Results: This tool can be used (i) to detect outliers, (ii) to control normality assumption, (iii) to check steady-state condition, (iv) to test homogeneity assumptions, (v) to perform subset analysis for genders, (vi) to perform analysis of variance to estimate components of variation and (vii) to identify analytical performance specifications of laboratory tests. Moreover, plots can be created at each step of outlier detection to inspect outliers and compare gender groups visually. An automatic report can be generated and downloaded. Conclusion: The tool is freely available through turcosa. shinyapps.io/biovar/, and source code is available on the Github: github.com/selcukorkmaz/BioVar.en_US
dc.identifier.doi10.1515/tjb-2019-0437
dc.identifier.endpage489en_US
dc.identifier.issn0250-4685
dc.identifier.issn1303-829X
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85096928534en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage479en_US
dc.identifier.trdizinid461173en_US
dc.identifier.urihttps://doi.org/10.1515/tjb-2019-0437
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/461173
dc.identifier.urihttps://hdl.handle.net/20.500.14551/19126
dc.identifier.volume45en_US
dc.identifier.wosWOS:000582568000003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherWalter De Gruyter Gmbhen_US
dc.relation.ispartofTurkish Journal Of Biochemistry-Turk Biyokimya Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiological Variationen_US
dc.subjectLaboratory Testsen_US
dc.subjectNested ANOVAen_US
dc.subjectVariance Componentsen_US
dc.subjectWeb Toolen_US
dc.subjectLaboratory Medicineen_US
dc.subjectClinical-Chemistryen_US
dc.subjectCritical-Appraisalen_US
dc.subjectErroren_US
dc.subjectSpecificationsen_US
dc.subjectGenerationen_US
dc.subjectChecklisten_US
dc.subjectHealthyen_US
dc.subjectModelen_US
dc.titleBioVar: an online biological variation analysis toolen_US
dc.typeArticleen_US

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