I am working on a project involving group-based trajectory modeling (GBTM) and have several questions I hope you can help with. My dataset tracks treatment adherence (a binary variable: yes/no) over several years (2012-2016). Here are my queries:
- Can GBTM be applied to categorical outcomes (treatment adherence: yes/no)?
- Which variables should be considered to identify trajectories? Should I use just the time variable (year) and the outcome (treatment adherence), or do I need to adjust for other covariates?
- What should I do if the odds of correct classification (OCC) for several groups is less than 5 and the average posterior probability is below 0.7?
- Why am I getting random BIC values for increasing degrees? Usually, the BIC decreases with increasing degrees, but in my case, for 1 group it might be -7800, for 2 groups it might be -7600, and for 3 groups it might be -7700.
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