- Thread starter fourize
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Thank you for your answers. Let take two examples for more understanding.

Suppose I have a continuous variable (CV) to explain.

If I have on the one hand: (1)

CV measures and an other categorical variable at different visits

and on the other hand: (2)

CV measures and other explanatory variables (categorical and continuous) at different visits.

Can I say that in case (1), a repeated measures ANOVA is the best method and in case (2) a mixed model?

Thanks

Repeated Measures ANOVA is usually one of two varieties, 1-way Repeated Measures ANOVA and 2-way Repeated Measures ANOVA.

2-way Repeated Measures is more common. In such a Case you would have two explanatory variables, one (usually time) which is 'within subjects', ie each subject experiences all time pionts, and one which is 'between subjects'.

Its hard for me to tell whether that fits

If I have on the one hand: (1)

CV measures and an other categorical variable at different visits

CV measures and an other categorical variable at different visits

Anyway I wouldn't over-think it, the answer is basically always 'mixed model'. RM-ANOVA is really only important in that it is computationally simple, ie it does not require iterative algorithms, but in modern times this is not verry important.