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Hi Dear All

I fitted a multinomial model using runmlwin,and now want to assess its performance. Is ther any command to test model performance and achive measures like c- index, Hosmer-Lemeshow , area under roc,.. ?

Regards

Hi Dear All I imputed missing values of my data using multiple imputation method. When I run a multinomial model with runmlwin, I get the following error message:" ... cases with missing values for one or more variables included in the model must be dropped...” I checked imputed variables but, ...

Hi all,
I have got the following error message when using runmlwin for 2- level model:

'error while obeying batch file C:\...\Local\Temp\ST_03000007.tmp at line number 80: STAR

How can I fix this problem?

Best Wishes, Ali

Hi Dear George Many thanks, I also think that the problem is with my data or model, but there is a question. When I tried to run the model with two levels (accident and driver), there is no problem and estimates for random effect part (accident) appear in stata outputs. Adding "district" t...

Hi Dear I had run multinomial multilevel model using runmlwin command as follow. My model has 3 levels: xi: runmlwin Outcome Sex cons , level3( District: cons) level2( Accident :cons) level 1(Driver:) discrete(dist (multinomial) link(mlogit) denom (cons) basecategory(1)) mlwinsettings(optimat) nopau...

Hi
Using runmlwin command i have got an error message from MLwiN package implying memory not enough.
The following message also appeared with stata outputs; "Warning: variance matrix is nonsymmetric or highly singular"
How can i increase the memory?
Regards

Hi Dear I have run a multinomial multilevel model using runmlwin, but have got the following error: OBEY "C:\DOCUME~1\ADMINI~1\LOCALS~1\Temp\ST_01000007.tmp" error while obeying batch file C:\DOCUME~1\ADMINI~1\LOCALS~1\Temp\ST_01000007.tmp at line number 76: calc 'pi'=expo('h') 106331 nume...

Hi Dear George I did what you asked me; tabulate V_outcome5,miss V_outcome5 | Freq. Percent Cum. ------------+----------------------------------- No injury | 19,067 91.51 91.51 Injured | 1,610 7.73 99.23 Dead | 142 0.68 99.91 . | 18 0.09 100.00 ----------------------------------------------- Total ...

Hi Dear Chria
Many thanks for your kindly suggestions. It seems to works wihout problem.

Thank you again for your helps

Best Regards

Yes, But there is no difference in outputs; xi:runmlwin V_outcome5 V_SEXID2 i.V_LICENCETYPEID3 cons, level2( TheKey:cons) le > vel1(V_id:) discrete(dist(multinomial) link(ologit) denom(cons) basecategory(3)) > optimat i.V_LICENCETY~3 _IV_LICENCE_0-4 (naturally coded; _IV_LICENCE_0 omitted) option op...