Kesirli Polinomlu Lojistik Regresyon Modeli

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Logistic Regression Model with Fractional Polynomial

In logistic regression analysis, there is a linearity assumption between the independent and dependentvariables. The violation of linearity assumption leads to wrong final model. When a continuous variable iscategorized to use in a model, the analysis and interpretation of the model may become difficult especiallywith the high number of levels. For these reasons, fractional polynomials are used to determine the functionalstructure of the continuous variables. In this study, the fractional polynomials are examined and applied to areal data set. The results for logistic regression model with an assumption of linearity and logistic regressionmodel with a categorical independent variable were also obtained and discussed.

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İstatistikçiler Dergisi:İstatistik ve Aktüerya-Cover
  • ISSN: 1308-0539
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2008
  • Yayıncı: Aktüerya Derneği