Abstract
The emerging role of modeling multivariate multilevel data in the context of analyzing the risk factors are examined for the severity of cardiovascular disease diabetes, and chronic respiratory conditions. The modeling phase results leads to some important interaction terms between blood glucose, blood pressure, obesity, smoking and alcohol to the mortality rates.
DOI
10.22237/jmasm/1493598540
Recommended Citation
Ranathunga, K. N. O. & Sooriyarachchi, R. (2017). Multivariate multilevel modeling of age related diseases. Journal of Modern Applied Statistical Methods, 16(1), 498-517. doi: 10.22237/jmasm/1493598540
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
