Abstract:
No satisfactory goodness of fit test is available for multilevel survival
data which occur when survival data are clustered or hierarchical in
nature. Hence the aim of this research is to develop a new goodness of
fit test for multilevel survival data and to examine the properties of the
newly developed test. Simulation studies were carried out to evaluate
the type І error and the power. The results showed that the type I error
holds for every combination tested and that the test is powerful against
the alternative hypothesis of nonproportional hazards for all combinations
tested.
