A Goodness of fit test for the Multilevel logistic model

Perera, Piumi; Sooriyarachchi, M.R.; Wickremasuriya, Shanika

dc.contributor.author	Perera, Piumi
dc.contributor.author	Sooriyarachchi, M.R.
dc.contributor.author	Wickremasuriya, Shanika
dc.date.accessioned	2021-07-07T03:22:18Z
dc.date.available	2021-07-07T03:22:18Z
dc.date.issued	2016
dc.identifier.citation	Perera, P, Sooriyarachchi, M.R. and Wickremasuriya, S. A Goodness of fit test for the Multilevel logistic model. Communications in Statistics (Simulation and Computation). Communications in Statistics—Simulation and Computation R®, 45: 1–17, 2016	en_US
dc.identifier.issn	0361-0918 print /1532-4141 online
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5442
dc.description.abstract	It is crucial to test the goodness of fit of a model before it is used to make statistical inferences. However, no satisfactory goodness of fit test is available for the case of categorical multilevel data which occur when categorical data are clustered or hierar-chical in nature. Hence the aim of this paper is to develop a new goodness of fit test for multilevel binary data based on Hosmer and Lemeshow and Lipsitz et.al. In order to identify the properties of the developed test, simulation studies were carried out to assess the Type I error and the power.	en_US
dc.description.sponsorship	No sponsors	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor and Francis	en_US
dc.subject	Binary data, Multilevel models, Hosmer Lemeshow test, Simulation, Type I error, Power	en_US
dc.title	A Goodness of fit test for the Multilevel logistic model	en_US
dc.type	Article	en_US