Multivariate Multilevel Modeling of Age realated Diseases

Ranatunge, K.N.O; Sooriyarachchi, M.R.

dc.contributor.author	Ranatunge, K.N.O
dc.contributor.author	Sooriyarachchi, M.R.
dc.date.accessioned	2021-07-07T03:25:59Z
dc.date.available	2021-07-07T03:25:59Z
dc.date.issued	2017
dc.identifier.citation	Kapuruge Nishika Ranatunga, M.R. Sooriyarachchi (2017). Multivariate Multilevel Modeling of Age related Diseases. Journal of Modern Applied Statistical Methods. 16(1) : 498 – 517.	en_US
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5466
dc.description.abstract	The emerging role of modeling multivariate multilevel data in the context of analyzing 3 the risk factors are examined for the severity of cardiovascular disease diabetes, and 4 chronic respiratory conditions. The modeling phase results leads to some important 5 interaction terms between blood glucose, blood pressure, obesity, smoking and alcohol to 6 the mortality rates.	en_US
dc.description.sponsorship	No Sponsors	en_US
dc.language.iso	en	en_US
dc.subject	multivariate multilevel model, probit regression, cardiovascular disease 9 and diabetes, chronic respiratory conditions, markov chain Monte Carlo	en_US
dc.title	Multivariate Multilevel Modeling of Age realated Diseases	en_US
dc.type	Article	en_US