Hello,
We have within-subject design where participants are scanned on multiple visits (4 times per participant). Time between visits is 2 years. Some visits are missing for a few participants. We'll call this variable 'time'.
We also collected two quantitative variables ("weight", "age") during each visit, so we have two time-variant covariates to add to the model
1) Can 3dLME handles missing data for -qvars? For example, we have imaging data for participant 5, visits 1, 2,3,4, but are missing behavior data for visit 2.
2). With respect to the model, we are also interested in each of the two qvars effect on the imaging data. Would our model formula look like the following: "-model 'time*weight*age'?
3) If so, would this also provide the interaction terms of time*weight and time*age, weight*age, and time*weight*age in the results?
Thanks
Michael