Longitudinal data - which to use?

4 important questions on Longitudinal data - which to use?

Name 3 reasons to use mixed model analysis over GEE with longitudinal data?

- slightly better with missing data
- More flexible, you an evaluate if you need a random slope or not.
- You get a loglikelihood

What is the difference in the process for MLM and GEE?

MLM: models through correlations between individuals
GEE: models through correlation within individuals

Is MLM or GEE better for continuous outcome? Why?

The output is similar, MLM is slightly better with missing data. Ans gives you loglikelihood.
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Is MLM or GEE better for binary outcome? Why?

For the point estimate, GEE is slightly lower than MLM. But simulation studies have shown the point estimate through GEE is more accurate. You dont need a random slope anyway (most of the time)

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