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DC Field | Value | Language |
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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 |
Appears in Collections: | Department of Statistics |
Files in This Item:
File | Description | Size | Format | |
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Health related modeling.pdf | 827.93 kB | Adobe PDF | View/Open |
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