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

Author(s):

Mohammad Gholami-Fesharaki , Anoshiravan Kazemnejad

Message:
Abstract:
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.
Keywords:

multilevel modeling , bayesian analysis , normal , independent distributions , triglycerides

Language:
English
Published:
Journal of Biostatistics and Epidemiology, Volume:1 Issue: 3, Summmer 2015
Pages:
112 to 120
https://www.magiran.com/p1458026