Developing a goodness of fit test for a joint model of clustered survival and count data

Adikari, N.; Sooriyarachchi, M.R.

dc.contributor.author	Adikari, N.
dc.contributor.author	Sooriyarachchi, M.R.
dc.date.accessioned	2021-07-07T03:24:20Z
dc.date.available	2021-07-07T03:24:20Z
dc.date.issued	2020
dc.identifier.citation	A. P. N. G. Adhikari & M. R. Sooriyarachchi (2020): Developing a goodness of fit test for a joint model of clustered survival and count data, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2020.1825738	en_US
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5455
dc.description.abstract	Mixed responses within clusters are becoming an increasingly popular phenomenon. However, this scenario is a complex one. This research is based on survival and count response data which occur frequently in medical studies. In the literature, there is no satisfactory goodness of fit test for a joint model of these two responses within a cluster setting. Therefore, the main objective of this study is to develop a GOF test for this scenario. Simulation studies were used to examine the type I error rate and the power of the test. An example was used to display the practicality of the test.	en_US
dc.description.sponsorship	No Sponsors	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor and Francis	en_US
dc.subject	Count; Hierarchical data structure; Joint model; Mixed responses; Simulation; Survival	en_US
dc.title	Developing a goodness of fit test for a joint model of clustered survival and count data	en_US
dc.type	Article	en_US