Multivariate Multilevel Modeling of Age realated Diseases
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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.
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multivariate multilevel model, probit regression, cardiovascular disease 9 and diabetes, chronic respiratory conditions, markov chain Monte Carlo
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.