https://communities.sas.com/t5/Statistical-Procedures/MSE-in-mixed-models/m-p/72636#M3492 Hi, <BR /> <BR /> Where can I find the mean square of error in the ouput from the mixed procedure ? Else how can I compute it ?<BR /> <BR /> Thanks for your answers. Wed, 31 Mar 2010 07:45:31 GMT MisterFred 2010-03-31T07:45:31Z https://communities.sas.com/t5/Statistical-Procedures/MSE-in-mixed-models/m-p/72636#M3492 Hi, <BR /> <BR /> Where can I find the mean square of error in the ouput from the mixed procedure ? Else how can I compute it ?<BR /> <BR /> Thanks for your answers. Wed, 31 Mar 2010 07:45:31 GMT https://communities.sas.com/t5/Statistical-Procedures/MSE-in-mixed-models/m-p/72636#M3492 MisterFred 2010-03-31T07:45:31Z https://communities.sas.com/t5/Statistical-Procedures/MSE-in-mixed-models/m-p/72637#M3493 Well, the MSE is another name for the residual variance estimate. Note that not all models which can be fit using the MIXED procedure have a simple residual variance estimate. If you have fitted a multivariate normal distribution (using a REPEATED statement), then you could have a residual variance for each response. How residual variance(s) is(/are) identified in a specific model depends on the variance structure which you are estimating. So, there is not a simple, direct answer to your question.<BR /> <BR /> Does this circuitous answer help you to identify where to find the statistic in your output? Wed, 31 Mar 2010 19:46:19 GMT https://communities.sas.com/t5/Statistical-Procedures/MSE-in-mixed-models/m-p/72637#M3493 Dale 2010-03-31T19:46:19Z