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.
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