A New SEYHAN's Approach in Case of Heterogeneity of Regression Slopes in ANCOVA

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dc.contributor.authorAnkaralı, Handan
dc.contributor.authorCangür, Şengül
dc.contributor.authorAnkaralı, Seyit
dc.date.accessioned2020-04-30T22:38:44Z
dc.date.available2020-04-30T22:38:44Z
dc.date.issued2018
dc.departmentDÜ, Tıp Fakültesi, Temel Tıp Bilimleri Bölümüen_US
dc.descriptionAnkarali, Handan Camdeviren/0000-0002-3613-0523; ankarali, seyit/0000-0003-3752-0846en_US
dc.descriptionWOS: 000432000500006en_US
dc.descriptionPubMed: 27757767en_US
dc.description.abstractIn this study, when the assumptions of linearity and homogeneity of regression slopes of conventional ANCOVA are not met, a new approach named as SEYHAN has been suggested to use conventional ANCOVA instead of robust or nonlinear ANCOVA. The proposed SEYHAN's approach involves transformation of continuous covariate into categorical structure when the relationship between covariate and dependent variable is nonlinear and the regression slopes are not homogenous. A simulated data set was used to explain SEYHAN's approach. In this approach, we performed conventional ANCOVA in each subgroup which is constituted according to knot values and analysis of variance with two-factor model after MARS method was used for categorization of covariate. The first model is a simpler model than the second model that includes interaction term. Since the model with interaction effect has more subjects, the power of test also increases and the existing significant difference is revealed better. We can say that linearity and homogeneity of regression slopes are not problem for data analysis by conventional linear ANCOVA model by helping this approach. It can be used fast and efficiently for the presence of one or more covariates.en_US
dc.identifier.doi10.1007/s12539-016-0189-0en_US
dc.identifier.endpage290en_US
dc.identifier.issn1913-2751
dc.identifier.issn1867-1462
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage282en_US
dc.identifier.urihttps://doi.org/10.1007/s12539-016-0189-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2414
dc.identifier.volume10en_US
dc.identifier.wosWOS:000432000500006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofInterdisciplinary Sciences-Computational Life Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANCOVAen_US
dc.subjectHomogeneity of regression slopesen_US
dc.subjectGeneralized Johnson-Neymanen_US
dc.subjectNonlinear ANCOVAen_US
dc.subjectRobust ANCOVAen_US
dc.titleA New SEYHAN's Approach in Case of Heterogeneity of Regression Slopes in ANCOVAen_US
dc.typeArticleen_US

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