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My syntax is below (it is only the final model that has problems with the message)

matrix a= (1,1,0)
. runmlwin score cons fp1 fp6 , level2 (patid: cons ) level1(newids: cons ) nopause maxiterations(1250) tolerance(1)
. runmlwin score cons fp1 fp6 , level2 (patid: cons fp1) level1(newids: cons ...

Hey runmlwin

I had a runmlwin model that was working back in OCt 2012. I am currently writing up a paper and when I try to run the model with the same command I get the following message

"V gone -ve definite for block 0 iteration aborted(fixed pass)"

any idea what is going on here?

Best wishes ...

Hi here is one model:


. runmlwin score cons fp1 fp6 ageonset fp1ageonset fp6ageonset relapse_var gender , level2(patid: cons fp1 fp6) level1(newids: cons fp1 ) nopause maxiterations(1250)

MLwiN 2.24 multilevel model Number of obs = 1872
Normal response model
Estimation algorithm: IGLS ...

Hi,

I have just noticed that the way I order the variables in my multilevel model (repeated measures) can lead to very small but slight adjustments in

1. Log likelihood
2. Parameter estimates (plus std errors)
3. The number of iterations to convergence.

It is a negligible difference but it still ...

Hello

I just found my problem, I had fitted the following model:

runmlwin score cons ageonset fp1 fp6 , level2 (patid: cons fp1 fp6 ) level1(score: cons, residuals(lev1,var) ) nopause

However because I had made my level 1 indicator the same as my dependent variable (i.e. score) it came into ...

Hi,

Just tried your install command and now Stata displays the message:

runmlwin requires MLwiN version 2.24 or higher. You can download the latest version of MLwiN at: http://www.bristol.ac.uk/cmm/software/mlwin/download/upgrades.html

Can you tell me how to revert to the previous runmlwin ...

When asking runmlwin to store the level 1 residuals (using the residuals command) from my repeated measures model I get the following error message:

merge: after merge, not all observations from master or matched
(merged result left in memory)

I then have a list of residuals with a corresponding ...

Hello

Is there a simple way of testing for autocorrelation (e.g. lagged scatterplots, correlograms) after fitting a repeated measures model with runmlwin?

Many thanks
Michael

I have been having some problems with a model of a subset of my data. With other subsets or all my data I have been getting sensible results. My model is a repeated measures model with a continuous outcome (score) nested in individuals (patid) as detailed below where cons=1 and fp1 and fp6 are time ...

I have also been fitting 1 discrete (binary) outcome and 1 continuous (repeated measure) outcome. My program (shown below) was working fine within MLwiN 2.23

runmlwin (score cons fp1 fp6, equation(1)) (drugbin cons, equation(2)), ///
level2(patid: (cons fp1 fp6, eq(1)) (cons, eq(2))) ///
level1 ...