A goodness of fit test for multilevel survival data

Simple item page
dc.contributor.authorBalakrishnan, K.
dc.contributor.authorSooriyarachchi, M.R.
dc.date.accessioned2021-07-07T03:23:49Z
dc.date.available2021-07-07T03:23:49Z
dc.date.issued2018
dc.description.abstractNo 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.sponsorshipNo Sponsorsen_US
dc.identifier.citationKirushanthini 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.urihttp://archive.cmb.ac.lk:8080/xmlui/handle/70130/5452
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.subjectHosmer–Lemeshow test; Multilevel models; Power; Type I error; Survival data; Simulationen_US
dc.titleA goodness of fit test for multilevel survival dataen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Published_A goodness of fit test for multilevel survival data.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Statistics