While paired data offers many advantages, it also presents some challenges. These include:
Autocorrelation: Since measurements are taken from the same subjects, they may be correlated. Missing Data: If follow-up measurements are missing, it can complicate the analysis. Complexity: Analyzing paired data can be more complex than analyzing independent samples.
