To manage MAR effectively, nurses can employ several strategies:
1. Multiple Imputation: This technique involves creating multiple datasets by imputing the missing values based on the observed data, analyzing each dataset separately, and then combining the results. 2. Maximum Likelihood Estimation: This method estimates parameters in a way that maximizes the likelihood of the observed data, considering the missingness. 3. Weighted Estimation: Assigns weights to observed data to account for the missingness, making the data more representative of the whole population.
