Abstract:
Survival analysis models the time it takes until an event occurs.
The prototypical event is death, from which the name survival analysis
is derived.Accordingly, each time survival analysis is studied, aspects
of some selected rates or reliability of some study are usually consid-
ered. Frailty modelling has been used in this study as the statistical
tool for analysing the time-event data. Parametric and non-parametric
models and the frailty models are fitted to help derive the required con-
clusions.The impact of misspecification of frailty random effects in a
survival data using parametric frailty modelling approach were deter-
mined during this research study.It is expected that these approaches
would produce less bias estimates compared to the results achieved of
the estimates when the misspecification of the frailty random effects are
ignored.
