Yes -weights should certainly be used in model of interest. MLwiN will allow this.
It is often not serious if you do not use weights in the imputation.
Harvey Goldstein
Search found 49 matches
- Tue Jan 29, 2013 9:03 pm
- Forum: Realcom user forum
- Topic: Problem specifying weights
- Replies: 5
- Views: 9822
- Mon Jan 21, 2013 3:21 pm
- Forum: Realcom user forum
- Topic: Imputation model
- Replies: 2
- Views: 5969
Re: Imputation model
The equations displayed are for the complete imputation model that you have specified. See notes on realcom for an example.
Harvey Goldstein
Harvey Goldstein
- Mon Jan 21, 2013 3:17 pm
- Forum: MLwiN user forum
- Topic: missing data
- Replies: 1
- Views: 4279
Re: missing data
Mlwin will by default always use casewise deletion for missing data - even when carrying out a Bayesian fit using MCMC. REALCOM was written to overcome this and it links with mlwin - but will handle only 2 levels at present. You could impute using 24 dummies for country. Go to realcom web site to se...
- Mon Jan 21, 2013 3:12 pm
- Forum: Realcom user forum
- Topic: Problem specifying weights
- Replies: 5
- Views: 9822
Re: Problem specifying weights
The weights facility is still not implemented. Recent work by Carpenter has addressed this issue - see new book by Carpenter and Kenward (Wiley, 2013)
- Mon Jan 21, 2013 3:10 pm
- Forum: Realcom user forum
- Topic: Become insignificant after MI
- Replies: 1
- Views: 7419
Re: Become insignificant after MI
This is often what you might get when you do imputations - suggests that the complete cases analysis produced biased results.
Harvey Goldstein
Harvey Goldstein
- Mon Nov 05, 2012 11:41 pm
- Forum: MLwiN user forum
- Topic: Level 2 residuals after using multiple imputation
- Replies: 2
- Views: 5209
Re: Level 2 residuals after using multiple imputation
Mlwin will not automatically combine residuals. You will need to do this manually. We will look into doing this.
Harvey Goldstein
Harvey Goldstein
- Wed Oct 17, 2012 10:01 am
- Forum: Realcom user forum
- Topic: Imputation Model
- Replies: 2
- Views: 5546
Re: Imputation Model
You should generally use all variables that will appear in the model of ineterst. In addition you can condition on any auxiliary variables that might be useful for satisfying the missing at random assumption.
Harvey Goldstein
Harvey Goldstein
- Mon Sep 24, 2012 2:45 pm
- Forum: Realcom user forum
- Topic: Interaction Effects Model
- Replies: 2
- Views: 5395
Re: Interaction Effects Model
An interesting question. At the moment the MOI should not contain interaction terms. There are different approaches in the literature to incorporating interactions (including polynomials) - see e.g. van Buuren S (2007). Multiple imputation of discrete and continuous data by fully conditional specifi...
- Mon Sep 24, 2012 2:37 pm
- Forum: Realcom user forum
- Topic: Realcomimputeload error: `var’ found where numeric variable
- Replies: 5
- Views: 9057
Re: Realcomimputeload error: `var’ found where numeric varia
I'm puzzled by this. I don't think that realcom will ever write 'NA' in these files. It is just possible that if the model fails to converge you could get 'NAN'.
Harvey Goldstein
Harvey Goldstein
- Mon Sep 24, 2012 2:29 pm
- Forum: Realcom user forum
- Topic: Multivariate Ordered regression: error matrix dimensions
- Replies: 6
- Views: 9651
Re: Multivariate Ordered regression: error matrix dimensions
Re your second question categorical expl variables should be entered with dummy variable coding.
Re first Q try running as a single level model. Can you also confirm which are responses and which explanatory.
Harvey Goldstein
Re first Q try running as a single level model. Can you also confirm which are responses and which explanatory.
Harvey Goldstein