An interactive web application for propensity score matching with R shiny; example of thrombophilia

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dc.contributor.authorDemir, Emre
dc.contributor.authorKöse, Serdal Kenan
dc.contributor.authorAkmeşe, Ömer Faruk
dc.contributor.authorYıldırım, Engin
dc.date.accessioned2021-11-01T18:18:32Z
dc.date.available2021-11-01T18:18:32Z
dc.date.issued2020
dc.departmentHitit Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü
dc.departmentHitit Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü
dc.departmentHitit Üniversitesi, Osmancık Ömer Derindere Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü
dc.description.abstractAim: The aim of this study was to develop a new web-based R Shiny package that calculates propensity score using many algorithms such as logistic regression, machine learning, and performs matching analysis with balance evaluation. In addition, it was aimed to explain the process of matching analysis on a real data set by comparing the number of live births between those with methylenetetrahydrofolate reductase (MTHFR) homozygous mutations and those without mutations in women hospitalized due to abortion in the gynecology and obstetrics clinic. Material and Methods: The web-based application was developed using R shiny. The “matchIt” library was used for matching analysis and PS prediction. The “cobalt” library was used to evaluate balance and generate plots. Results: The abortion variable, which was statistically significantly different in the groups before matching (p=0.010), was similar in the groups after matching (p=0.743). In addition, when the descriptive statistics and p values of the other variables were examined, it was seen that almost full balance was achieved after matching and the confounder variables were similar distributed in groups. After matching analysis, it was determined that the result variable “livebirths” did not show statistically significant difference in the groups (p=0.864). Conclusion: In this study, we developed an interactive web application for matching analysis based on propensity score. It is thought that this application will facilitate the studies of the researchers.
dc.identifier.citationDemir, E., Kose, S. K., Akmese, O. F., & Yildirim, E. (2020). An interactive web application for propensity score matching with R shiny; example of thrombophilia. Annals of Medical Research, 27(2), 490-498.
dc.identifier.doi10.5455/annalsmedres.2020.01.047
dc.identifier.endpage498en_US
dc.identifier.issn2636-7688
dc.identifier.issn2636-7688
dc.identifier.issue2en_US
dc.identifier.startpage490en_US
dc.identifier.urihttps://doi.org10.5455/annalsmedres.2020.01.047
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpZME5USTNOdz09
dc.identifier.urihttps://hdl.handle.net/11491/8096
dc.identifier.volume27en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorDemir, Emre
dc.institutionauthorAkmeşe, Ömer Faruk
dc.institutionauthorYıldırım, Engin
dc.language.isoen
dc.relation.ispartofAnnals of Medical Research
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPropensity Scoreen_US
dc.subjectMatchingen_US
dc.subjectLogistic Regressionen_US
dc.subjectMachine Learningen_US
dc.subjectR Shinyen_US
dc.titleAn interactive web application for propensity score matching with R shiny; example of thrombophilia
dc.typeArticle

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