While pairwise deletion has its benefits, it also has limitations:
Inconsistency: The number of observations can vary between different analyses, leading to inconsistent sample sizes. Assumes Missing at Random: It assumes that data is missing at random (MAR), which may not always be the case. Complexity in Interpretation: The varying sample sizes can complicate the interpretation of results. Potential for Bias: If data is not missing at random, pairwise deletion may still introduce bias.
