Open Source Web Based Software for Random Assignment/Allocation Methods in Data Processing

Basit Öğe Kaydı
dc.authoridÇOLAK, CEMİL/0000-0001-5406-098X
dc.authoridbalıkçıçiçek, ipek/0000-0002-3805-9214
dc.authoridARSLAN, Ahmet Kadir/0000-0001-8626-9542
dc.authorwosidÇOLAK, CEMİL/ABI-3261-2020
dc.authorwosidbalıkçıçiçek, ipek/ABI-8070-2020
dc.authorwosidARSLAN, Ahmet Kadir/AAA-2409-2020
dc.contributor.authorArslan, A. Kadir
dc.contributor.authorBalikci Cicek, Ipek
dc.contributor.authorColak, Cemil
dc.date.accessioned2024-08-04T20:46:54Z
dc.date.available2024-08-04T20:46:54Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, it is aimed to develop a user-friendly open-source web-based software which enables the assignment of the subjects included in the scientific research to the groups with equal probability. An open source R package, Shiny, is used to develop the recommended web tool. In the developed software, one of the required equilibrium methods; random allocation rule, truncated binomial design, maximal procedure design, complete randomization methods; complete randomization design, blocking methods; permuted block randomization with random block constellation, the Hadamard randomization, adaptive methods; the big stick design, Efron's biased coin design, Wei's urn design, generalized biased coin design, Chen's biased coin design are included. A random allocation rule, one of the random assignment methods, is applied to a hypothetical data set where the sample size is 140 and the number of groups are two. As a result, in the first group, a random assignment was made in such a way that the number of samples are 70 and the number of samples in the second group are 70. According to the hypothetical data set findings, the developed easily assigns the subjects to the study groups by using random assignment methods. Therefore, it is stated that it easily solved a significant bias problem in scientific studies. In the following stages of the study, the scope of the software can be expanded with the addition of techniques comparing the results of random assignment methods.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875979
dc.identifier.scopus2-s2.0-85074881343en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875979
dc.identifier.urihttps://hdl.handle.net/11616/99035
dc.identifier.wosWOS:000591781100106en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData processingen_US
dc.subjectHypothetical dataen_US
dc.subjectRandom assignment/allocation methodsen_US
dc.subjectWeb based softwareen_US
dc.titleOpen Source Web Based Software for Random Assignment/Allocation Methods in Data Processingen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu