Missing data using logistic regression PreviousNext
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 Gail Smith posted on Tuesday, July 05, 2011 - 7:31 am
I am using logistic regression and have missing data. I added the covariates.
Below is my code.

VARIABLE:
NAMES ARE v1 - v48;
USEVARIABLES ARE v32 v5 v6 v11 v12 v13 v14 v26 v27 v30 v33 v42-v48;
MISSING ARE ALL (-99);
CATEGORICAL ARE v32 ;

ANALYSIS:
! TYPE IS MONTECARLO;
ESTIMATOR IS ml;
integration = montecarlo;
ITERATIONS = 1000;
CONVERGENCE = 0.00005;

model:
v32 on v5 v6 v11 v12 v13 v14 v26 v27 v30 v33 v42-v48 ;
v5 v6 v11 v12 v13 v14 v26 v27 v30 v33 v42-v48 ;

I get the folowing warning:
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE
TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE
FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING
VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE
CONDITION NUMBER IS 0.463D-18. PROBLEM INVOLVING PARAMETER 184.

If I just list the variables that have missing values, it runs with no warnings.

If I list the variables that have missing values with an *, Iit runs with no warnings but the standard errors are differnt from the run without the *.

Thank you for your help,
Gail
 Linda K. Muthen posted on Tuesday, July 05, 2011 - 7:48 am
Please send the two outputs and your license number to support@statmodel.com.
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