Survival analysis is also known as event analysis. It is used extensively in different fields, such as biomedicine, engineering, and social science. However, it is used for different purposes in different fields. For example, in biomedicine, it is used to analyze the time of death of patients and also for laboratory tests. In social science, it is used to analyze time events, for example, marriage, job verification, child birth, the call waiting time in call centers, and so on. In the engineering field, it is used to find out the breakdown time of machines. Survival analysis is also called reliability or failure time analysis.

When data is analyzed through old-style statistical models (for example, multiple linear regressions), a few features of survival analysis data (for example, censoring and non normality) might create hurdles. The non-normality feature interrupts the normality notion/assumption of a statistical model (for example, regression, Anova...