To further explore whether they are some relationship between missing values of observed predictors, a new dataset has created by replacing missing values with 1 while non-missing with 0.
cor(newDataSet) AST ALT CD4 marriage_f AST 1.00000000 0.77589893 0.22670360 0.07317342 ALT 0.77589893 1.00000000 0.29791660 0.09978341 CD4 0.22670360 0.29791660 1.00000000 0.07826039 marriage_f 0.07317342 0.09978341 0.07826039 1.00000000
Output show the missing values in
AST variable are strongly correlated with missing values in
My question are the follows
- Is that belong to MAR or MNAR, of course I know it is not MCAR?
- How to handle such issue? Is that fine to use multiple imputation by