We are working with longitudinal data from at treatment study and want to identify classes of patient with different courses during a 3-year period. Latent class growth analysis with ML for treating missing is the method. Our problem is that in our data there are some cases that only have baseline data and are missing on the remaining 6 time points (early dropouts). Would it be reasonable to include these cases in the analysis or should they be completely removed?
I will take a look at the cprob values! A final question if I may. Would you take any actions on subjects that have many missing values and very low cprob, such as removing them? Thank you again for taking time to answer my questions. Your help is highly appreciated. David