Programming the statistical procedures from SAS

GLIMMIX does cannot calculate minimum variance quadratic unbiased estimates

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GLIMMIX does cannot calculate minimum variance quadratic unbiased estimates

Hi all,

 

I am trying to build a hierarchical model for a large survey dataset and I keep getting the error "WARNING: Obtaining minimum variance quadratic unbiased estimates as starting values for the covariance parameters failed" when fitting the following model:

 

proc glimmix data = arrlib.data pconv = 1e-4;
	class hospid flag_chf(ref = '0');
	model flag_ihca(event = '1') = flag_chf / cl dist = binary oddsratio solution;
	random intercept / sub = hospid type = chol;
	nloptions maxiter = 100 gconv = 1e-4;
	weight discwt;
	by flag_cancer;
	title 'small data';
run;

However, when I fit the model using a subset of this data, I am able to get the OR with no problems. I'm not sure if this is arising from the number of observations and whether I need to allow more iterations, or what. 

 

Thanks for y'all's consideration.

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