Hi!
Am dealing with a multivariate longitudinal data where we collect data from two group of subjects (cases and controls) at baseline , one month , two month, and at three months . At each of these four time points we collect data (which basically consist of 4000 variable of which many of them are highly correlated, similar to NIR or nmr spectra). There is also clinical measurements such as hight, weight, biochemistry data etc which are also collected at the same time)
The idea is to identify the differences in the groups as well as the differences occuring with time
Any suggestion for the best data analysis methods?
Thanks in advance
Am dealing with a multivariate longitudinal data where we collect data from two group of subjects (cases and controls) at baseline , one month , two month, and at three months . At each of these four time points we collect data (which basically consist of 4000 variable of which many of them are highly correlated, similar to NIR or nmr spectra). There is also clinical measurements such as hight, weight, biochemistry data etc which are also collected at the same time)
The idea is to identify the differences in the groups as well as the differences occuring with time
Any suggestion for the best data analysis methods?
Thanks in advance