Bayesian Analysis of Non-normal and Non-independent Mixed Model UsingSkew-Normal/Independent Distributions

Autor:	Mohammad Gholami-Fesharaki, Anoshiravan Kazemnejad
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	multilevel modeling bayesian analysis normal independe nt distributions triglycerides Biology (General) QH301-705.5 Probabilities. Mathematical statistics QA273-280
Zdroj:	Journal of Biostatistics and Epidemiology, Vol 1, Iss 3/4 (2015)
Druh dokumentu:	article
ISSN:	2383-4196 2383-420X
Popis:	The main assumptions in liner mixed model are normality and independency of random effect component. Unfortunately, these two assumptions might be unrealistic in some situations. Therefore, in this paper, we will discuss about the analysis of Bayesian analysis of non-normal and non-independent mixed model using skew-normal/independent distributions, and finally, this methodology is illustrated through an application to a triglyceride data from Isfahan’s Mobarakeh Steel Company Cohort Study.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/395b49d37cd646c7a19c35bdf53c1f0b Zobrazit plný text záznamu View record in DOAJ