Thanks for providing a fix to this problem. However, I was just wondering why the model uses listwise deletion?
I thought one of the benefits of using this model was that it could predict the missing values using the correlations between the outcomes? I believe this is what the model does when all ...
Search found 3 matches
- Thu Feb 25, 2016 4:00 pm
- Forum: R2MLwiN user forum
- Topic: multivariate binary model
- Replies: 5
- Views: 8155
- Tue Dec 15, 2015 10:50 am
- Forum: R2MLwiN user forum
- Topic: multivariate binary model
- Replies: 5
- Views: 8155
Re: multivariate binary model
Thanks for the quick reply.
Unfortunately, when I change the missing values to "NA", I still get the following error message (about a third of the time):
Error in if (!all(indata[[resp]] >= 0 && indata[[resp]] <= :
missing value where TRUE/FALSE needed
Unfortunately, when I change the missing values to "NA", I still get the following error message (about a third of the time):
Error in if (!all(indata[[resp]] >= 0 && indata[[resp]] <= :
missing value where TRUE/FALSE needed
- Mon Dec 14, 2015 4:34 pm
- Forum: R2MLwiN user forum
- Topic: multivariate binary model
- Replies: 5
- Views: 8155
multivariate binary model
Hi,
I'm currently trying to run a multivariate binary response model with missing data, but I keep getting an error message.
I have simulated a dataset to reflect a simple clinical trial. I have two binary outcomes (X1 and X2) and a variable to reflect if the participants received the treatment or ...
I'm currently trying to run a multivariate binary response model with missing data, but I keep getting an error message.
I have simulated a dataset to reflect a simple clinical trial. I have two binary outcomes (X1 and X2) and a variable to reflect if the participants received the treatment or ...