I have different categorical groups. In each group I've measured a dependent variable through time points. But the time points are different among groups. (For example, In group1 , the variable was measured after 12 months, and 24 months, and in group 2 it's measured at 24 months and 48 months later). Could I still use Linear mixed models?
Yes, you can use Linear Mixed Models for your analysis, even with different time points among groups. LMMs are flexible and can handle varying time points across groups by modeling both fixed and random effects.
It is indeed possible to employ a linear mixed model (LMM) even when the time points differ among groups. LMMs offer considerable flexibility regarding unbalanced data and are capable of handling varying time points by including random effects. This enables the analysis of data without the necessity of identical time points across groups.
Edit: Sorry, didn't see Zahras answer.
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