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Applying Logistic Regression Model to The Second Primary ...
Applying Logistic Regression Model to The Second Primary Cancer Data. Amr I. Abdelrahman Department of Statistics, Mathematics, and Insurance. Faculty of Commerce, Ain Shams University, Egypt Abstract The Logistic Regression Model is used to determine the social-demographic risk factors which affect the Second cancer occurrence for 200 patients who were initially treated for first Primary cancer stage I and were cancer free for at least 1 year after first Primary cancer treatment. The 200 patients were classified as "having a Second cancer", and "not having a Second cancer". The social-demographic risk factors used are age at first cancer, gender, area the patient lives in, marital status, family history, smoking, education and obesity in addition to treatment by radiation. The binary Logistic Regression Model is used in this study to estimate the probability of the occurrence and to determine the effective risk factors that cause the Second cancer occurrence.
( Hosmer and lemeshow, 2000; Fienberg,1998). The test based on the statistic" G" under the null hypothesis that the beta's coefficients for the covariates in the model are equal to zero.
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