Utilizing Cox Regression Analysis and Bootstrapping test for Indicating the Risk of Smoking on Health in Kurdistan

Abstract

Survival analysis is a branch of statistical analysis which analyzing the envisioned of time till one event occurs. it is a widely used technique in biomedical and health services researches. In this study, the data sample takes with size (300) persons from all classes of society in Kurdistan, from the age of (15 years) to (82 years) to analyze Cox regression and bootstrapping test for indicating the risk of smoking for this purpose. The dependent variable which it is the effect of smoking on several diseases represents in the independent (predictor) variables like mouth odor, Lung diseases, Dental disease, Gastrointestinal diseases, Liver diseases, Heart and blood system diseases, Alzheimer, Mental diseases and Cancer. The result of the analyses confirmed that Smoking caused several diseases such as cancer, lung diseases, dental diseases, heart and blood system diseases. For these analyses the IBM SPSS Statistics is a powerful statistical software platform used.

Keywords

• Survival analysis, Cox regression, Bootstrapping, Smoking