Pacific D
Analysis of Cervical Cancer Count Data: Copula-Based Approaches (306673)
*Hadi Safari-Katesari, Southern Illinois University, CarbondaleS. Yaser Samadi, Southern Illinois University, Carbondale
Samira Zaroudi, Islamic Azad University, Tehran
Keywords: Cervical Cancer, Copula, Spearman’s rho, Bivariate measure of association, Concordance Discordance Dependence
In this presentation, we derive the population version of Spearman's rho correlation via copulas when both marginal random variables are discrete. The upper and lower bounds of the Spearman's rho for Bernoulli random variables are derived. Moreover, the proposed Spearman's rho correlations are compared with their corresponding Kendall's tau values based on different types of copulas with different discrete marginal distributions. An extensive simulation study is conducted to demonstrate the validity of our theoretical results. A cervical cancer data is analyzed to find the effect of number of years of using IUD on sexually transmitted diseases.