Longitudinal data - Multilevel model: longitudinal data

4 important questions on Longitudinal data - Multilevel model: longitudinal data

What is the difference in interpretation of the regressioncoefficient between longitudinal data and cross-sectional data?

Longitudinal: The regressioncoefficient tells you the change within but also between individuals.
cross sectional: the regressioncoefficient only tells you the difference between individuals

Whhy is it important to also take the 'between subject' interpretation into account in longitudinal data?

Because it could be the case that one individual does not have change over time, but then there would still be a difference between individuals.

How do you investigate if a variable is a confounder?

Add the variable to the fixed part, if the regressioncoefficient of the independent variable changes, then its a confounder.
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How do you investigate if a variable is an effect modifier?

Add variable to fixed part, + variable*interpendent (interaction term) to fixed part. If the interactionterm is significant, its an effect modifier.

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