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http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5452| Title: | A goodness of fit test for multilevel survival data |
| Authors: | Balakrishnan, K. Sooriyarachchi, M.R. |
| Keywords: | Hosmer–Lemeshow test; Multilevel models; Power; Type I error; Survival data; Simulation |
| Issue Date: | 2018 |
| Publisher: | Taylor and Francis |
| 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) |
| 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. |
| URI: | http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5452 |
| Appears in Collections: | Department of Statistics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Published_A goodness of fit test for multilevel survival data.pdf | 1.14 MB | Adobe PDF | View/Open |
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