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Have you tried with ...?

This manual says that the command "Returns the deviance from "mlwinfitIGLS" objects", which I guess is what you get using R2MLwiN.

k.

I have around 1700 subjects j nested in 50 groups k that were observed 3 times i , producing the following 3-level growth model (Fig 1): http://i.imgur.com/JG7igNc.png I would like to calculate the approximate 95% CI around the fitted values of each group, but it looks that my method produces slight...

Hi Bill, Thank you for your kind reply, I have been reading your manual with interest. Of course you are right in that I left nothing to estimate. I had not thought about the multivariate response model, I can start with that with the group median / mean from previous years imputed to some subjects....

So I tried to simulate this situation without success. First, I noted down the parameters from an analysis using last year's dataset. http://i.imgur.com/qwB4LfY.png Obs is the HEALTH variable I mentioned in the previous post, and we have 51 GPs at level 3 and 1754 patients at level 2. Then I removed...

Slightly OT, if you find yourself without SPSS on a particular PC, one trick that works for me is to sort as mentioned earlier in Excel, save the file as a TAB delimited .txt, open with Notepad, copy all and paste in MLwiN. That preserves the variable names.

k.

You have to use Data Manipulation -> Sort. If it is a 3-level model, specify 3 keys and enter the sorting columns in order from the highest to the lowest level (i.e., countries first, then grandparents, then children). Select all columns as an input and output in the same columns. If this fails, my ...

Suppose that the health condition of 200 patients from each of 50 GPs was observed 3 times last year. The data can be analysed as a 3-level growth model with observations nested within patients, nested within GPs (let's assume that a linear model is appropriate for this kind of data): HEALTH_ijk = B...

Hi Chris,

I've sent it now, the subject of the email is "covariances with orthogonal polynomials".

Thank you and apologies to the rest of the forum community for this semi-private exchange.

k.

Hi Chris,

Of course, could I send you the dataset via private message? I will remove all unnecessary and personal information.

Thank you and all the best,

k.

Hi Chris,

Thank you for your prompt reply, will do.

All the best,

k.