Imputation: This involves replacing missing values with substituted values. Various techniques like mean imputation, regression imputation, and multiple imputation can be used. Complete Case Analysis: Only cases with complete data are analyzed. While this is simple, it may lead to biased results if the missing data is not MCAR. Weighting: This method involves adjusting the analysis to account for the missing data, often by assigning weights to different cases.
