Question: why is it important to account for correlation in longitudinal data analysis? a. Longitudinal data involves repeated measurements on the same subjects , leading to

why is it important to account for correlation in longitudinal data analysis? a. Longitudinal data involves repeated measurements on the same subjects , leading to correlated observations. b. Correlation is irrelevant in longitudinal data analysis and researchers are only concerned with causation in these settings. c. Accounting for the correlation structure is a step that reduces computational complexity and simplifies the model interpretability for users. d. Longitudinal data never comes from a randomized setting so you have to account for correlation in the data

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