Programming the statistical procedures from SAS

Missing Data

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New Contributor
Posts: 3

Missing Data

Hi Everyone,

i am new in this forum and i hope finding my answer here.

i am working on missing data treatment; i used "proc mi" to do imputation of missing data.

i used this code:

proc mi data = time1 nimpute = 5 seed = 4321567 out=itime1;

run;

But  i got these warning messages:

(WARNING: All observed values are identical for variable surveyId. This variable will be excluded from

         the analysis.

WARNING: A covariance matrix computed in the EM process is singular. The linearly dependent variables

         for the observed data are excluded from the likelihood function. This may result in an

         unexpected change in the likelihood between iterations prior to the final convergence.

WARNING: The EM algorithm (MLE) fails to converge after 200 iterations. You can increase the number

         of iterations (MAXITER= option) or increase the value of the convergence criterion

         (CONVERGE= option).

WARNING: The EM algorithm (posterior mode) fails to converge after 200 iterations. You can increase

         the number of iterations (MAXITER= option) or increase the value of the convergence

         criterion (CONVERGE= option).

WARNING: The EM algorithm (posterior mode) fails to converge after 200 iterations. You can increase

         the number of iterations (MAXITER= option) or increase the value of the convergence

         criterion (CONVERGE= option).

WARNING: The posterior covariance matrix is singular. Imputed values for some variables may be fixed.)

I dont know where is the problem. so could anyone help me in that.

Thanks

Owis

PROC Star
Posts: 7,416

Missing Data

If you can post your time1 dataset it would help others to see why you got all of the warnings.

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