I would love if you guys could help me in choosing the appropriate statistical analysis for my data. The topic is Evaluating Risks in supply chain management: An assessment of challenges, developments and risk assessing frameworks.
I have gathered long information, and is rehashed with various perceptions, for each case, that could vary (for instance one case could have one, one case could have two, another case could have four et cetera) and I have missing value in some perception. The cases are not autonomous. Would i be able to utilize GEE for the data collected?
Ya, why not. I think it is a great idea, as your data is somewhat similar to the data collected by me in my PhD.
I counselled a statistical service provided to me through the college and were guided by utilizing GEE for this reason. In the event that you have such a service accessible, I think it would be more suggested that you should take help from an expert statistical consultation.
Indeed, you can, yet there are some couple of things that you need to consider. The GEE model will give you a “population arrived at the midpoint of” or minor outcomes. That is the normal increase in Y for a one-unit increase in X. This would resemble evaluating the normal contrasts between people with X=0 versus people with X=1. Frequently, this approach is adequate to address the inquiry, representing the connected idea of the data. Be that as it may, in case you’re question is more “subject particular”, i.e., subject-particular change, at that point you need to use a mixed model approach.