Survival analysis of customers in telecommunication companies by using Cox proportional hazards regression model
Ramesh Khatana, Annasaheb Suryawanshi
The objective of the study was to assess the importance of various covariates in the survival times of individuals through the hazard function. The Kaplan-Meier curve compares customer survival across different groups by using Log-Rank test but the Cox proportional hazard regression simultaneously investigate the effects of several explanatory variables on the survival of customer. Cox regression was used for data analysis on 300 customers in various telecommunication companies. This research showed that, among all factors examined, age, gender, region and sim Card Company plays important role in customer survival in the telecommunications company.