Turkiye Klinikleri Journal of Biostatistics

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Non-parametric Randomization-based Analysis of Covariance Method in Repeated Clinical Categorical
Tekrarlanan Klinik Kategorik Veride Non-parametrik Randomizasyon Tabanlı Kovaryans Analizi Metodu
Şirin ÇETİNa, S Kenan KÖSEb, Erhan KARAASLANc, Ayşe ÜLGENd
aDepartment of Biostatistics, Tokat Gaziosmanpaşa University Faculty of Medicine, Tokat, TURKEY
bDepartment of Biostatistics, Ankara University Faculty of Medicine, Ankara, TURKEY
cDepartment of Pediatrics, Tokat Gaziosmanpaşa University Faculty of Medicine, Tokat, TURKEY
dGirne American University, Faculty of Medicine, Kyrenia, CYPRUS
Turkiye Klinikleri J Biostat. 2021;13(1):50-6
doi: 10.5336/biostatic.2020-79326
Article Language: EN
Full Text
ABSTRACT
 Objective: Covariance analysis (ANCOVA) is a method used in biomedical and health research, but when the assumption of normality is not satisfied or the dependent variable is bivariate or on ordinal scale, various procedures are presented in the literature for covariance analysis. If assumptions are not satisfied and parametric methods are used, Type I error increases and the power of the test decreases. To overcome these issues, the researcher needs to look for an alternative approach to the analysis of covariance. For non-parametric ANCOVA, many methods are presented in the literature that can be applied to different types of data. Material and Methods: In our study, by analyzing various non-parametric covariance methods; the analysis of repeated categorical data obtained from the clinic is to be analyzed with the non-parametric randomization-based analysis of covariance (NPANCOVA) method. Results: The application of the method was performed on repeated clinical data obtained from 5 consecutive visits from pediatric patients diagnosed with Crimean-Congo hemorrhagic fever disease in the pediatric health and diseases service. Conclusion: As a result, we can state that the NPANCOVA method can be used in clinical analysis due to its many superior advantages in the analysis of categorically repeated non-parametric data.

Keywords: Non-parametric; non-parametric randomization-based analysis of covariance; non-parametric methods
ÖZET
 Amaç: Kovaryans analizi (ANCOVA), biyomedikal ve sağlık araştırmalarında kullanılan bir yöntemdir, fakat normallik varsayımı sağlanmadığında veya bağımlı değişkenin 2 değerli veya sıralı değişken olması durumunda literatürde kovaryans analizi için çeşitli prosedürler sunulmuştur. Varsayımlar sağlanmadığı hâlde, eğer parametrik yöntemler kullanılırsa Tip I hatanın artmasına ve testin gücünün azalmasına neden olmaktadır. Parametrik olmayan ANCOVA için literatürde farklı türden verilere uygulanabilecek pek çok yöntem sunulmuştur. Gereç ve Yöntemler: Çalışmamızda, parametrik olmayan çeşitli kovaryans analizi yöntemleri incelenerek, klinikten elde edilen tekrarlanan kategorik verilerinin analizinin non-parametrik randomizasyon tabanlı kovaryans analizi (NPANCOVA) metoduyla yapılması amaçlanmıştır. Bulgular: Metodun uygulaması ise çocuk sağlığı ve hastalıkları servisinde yatan Kırım-Kongo kanamalı ateşi hastalığı tanısı olan çocuk hastalardan art arda 5 vizitden elde edilen, tekrarlanan klinik veriler üzerinde yapılmıştır. Sonuç: Sonuç olarak, non-parametrik randomizasyon tabanlı kovaryans analizi metodunu kategorik tekrarlanan parametrik olmayan verilerin analizinde, pek çok üstün avantajları sebebiyle klinik analizlerde kullanılabileceğini ifade edebiliriz.

Anahtar Kelimeler: Non-parametrik; non-parametrik randomizasyon tabanlı kovaryans analizi; parametrik olmayan yöntemler
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