• E-ISSN 2636-7688
  • Call Us: +90 422 341 06 60 / 1224
  • Email Us: dergi@inonu.edu.tr

Formerly Journal of Turgut Ozal Medical Center - ISSN 1300-1744

Current Issues

An interactive web application for propensity score matching with R shiny; example of thrombophilia (p.490-8)

An interactive web application for propensity score matching with R shiny; example of thrombophilia (p.490-8)

Emre Demir1, Serdal Kenan Kose2, Omer Faruk Akmese3, Engin Yildirim4
1Hitit University, Faculty of Medicine, Department of Biostatistics, Corum, Turkey
2Ankara University, Faculty of Medicine, Department of Biostatistics, Ankara, Turkey
3Hitit University, Osmancik Omer Derindere Vocational School, Department of Computer Technologies, Corum, Turkey
4Hitit University, Faculty of Medicine, Department of Gynecology and Obstetrics, Corum, Turkey
Copyright © 2020 by authors and Annals of Medical Research Publishing Inc.

Abstract

Aim: 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.

Keywords: Propensity score; matching; logistic regression; machine learning; R shiny

 

 

DOWNLOAD
doi: 10.5455/annalsmedres.2020.01.047

DownloadXML


demo

Annals of Medical Research is the scientific official journal of the Inonu University Faculty of Medicine. It is published monthly. The essential aim of the Annals of Medical Research is to publish scientifically high quality clinical and experimental research articles on fields of medicine which can contribute to the literature data. In addition, review articles, case reports, editorials, letters to the editors and manuscripts on publication ethics and medical history, which can contribute to the education and practices of physicians and health sector professionals within the scope of the journal’s target audience and which can increase the level of scientific communication between the authors and readers, are included in the scope of the journal.

 

Recent News

Links

Web Traffic

Today341
Yesterday920
This week3052
This month341
Total22567

2020-10-01

Certificate of General Impact Factor

Email Newsletter

Sign up for the latest Inonu University Our new article, updates....