Pairwise deletion is a method used in statistical analysis to handle missing data by excluding only the specific data points that are missing for each pair of variables being analyzed, rather than removing entire cases. This approach allows for the use of more available data, potentially increasing statistical power, but it can lead to biased estimates if the data are not missing completely at random.