additional:
I get a data length mismatch error when imputing using MLwiN and similar using the macro. I presume this is because the data are unbalanced and these methods cannot handle this?
Search found 2 matches
- Mon May 28, 2012 4:09 pm
- Forum: MLwiN user forum
- Topic: Multiple imputation for longitudinal data
- Replies: 2
- Views: 6097
- Mon May 28, 2012 3:12 pm
- Forum: MLwiN user forum
- Topic: Multiple imputation for longitudinal data
- Replies: 2
- Views: 6097
Multiple imputation for longitudinal data
Afternoon,
I am new to MLwiN and to multiple imputation of missing data.
I have a longitudinal data set with missing data present in some categorical/binary predictor variables.
I wish to use MI to increase the working sample size for the modelling procedure.
What is the best way to do this? I ...
I am new to MLwiN and to multiple imputation of missing data.
I have a longitudinal data set with missing data present in some categorical/binary predictor variables.
I wish to use MI to increase the working sample size for the modelling procedure.
What is the best way to do this? I ...