Please use this identifier to cite or link to this item: http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5466
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dc.contributor.authorRanatunge, K.N.O-
dc.contributor.authorSooriyarachchi, M.R.-
dc.date.accessioned2021-07-07T03:25:59Z-
dc.date.available2021-07-07T03:25:59Z-
dc.date.issued2017-
dc.identifier.citationKapuruge 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.urihttp://archive.cmb.ac.lk:8080/xmlui/handle/70130/5466-
dc.description.abstractThe 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.sponsorshipNo Sponsorsen_US
dc.language.isoenen_US
dc.subjectmultivariate multilevel model, probit regression, cardiovascular disease 9 and diabetes, chronic respiratory conditions, markov chain Monte Carloen_US
dc.titleMultivariate Multilevel Modeling of Age realated Diseasesen_US
dc.typeArticleen_US
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