A goodness of fit test for multilevel survival data

Balakrishnan, K.; Sooriyarachchi, M.R.

dc.contributor.author	Balakrishnan, K.
dc.contributor.author	Sooriyarachchi, M.R.
dc.date.accessioned	2021-07-07T03:23:49Z
dc.date.available	2021-07-07T03:23:49Z
dc.date.issued	2018
dc.identifier.citation	Kirushanthini Balakrishnan and M. R. Sooriyarachchi, A goodness of fit test for multilevel survival data, Communications in Statistics - Simulation and Computation, 47(1) : 30-47 (2018)	en_US
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5452
dc.description.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.	en_US
dc.description.sponsorship	No Sponsors	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor and Francis	en_US
dc.subject	Hosmer–Lemeshow test; Multilevel models; Power; Type I error; Survival data; Simulation	en_US
dc.title	A goodness of fit test for multilevel survival data	en_US
dc.type	Article	en_US