The main objective of this paper is to analyze the 2× K contingency tables with three statistical methods (regression analysis, multinomial logistic regression analysis and fuzzy model). We compare these methods for evaluating the association between a risk factor and a disease. These statistical methods measure the association between the numeric levels of a risk factor and a disease in different ways. They have been applied to a set of data of childhood cancer risk from prenatal x-ray

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... . Regression and multinomial logistic regression analyses show similar results for a data set of 16226 children whereas the fuzzy analysis yields a different result. Keywords: Contingency table, multinomial logistic regression, fuzzy model, Data of childhood cancer, X-ray exposure. How to cite this article: Neamah MW, Ali BK (2020): Analysis of childhood cancer risk by using 2xk contingency tables with variety statistical methods, Ann Trop Med & Public Health; 23 (4): S478.