Example 55.3 Reading Regression Results from a DATA= EST Data Set

This example creates an EST-type data set that contains regression coefficients and their corresponding covariance matrices computed from imputed data sets. These estimates are then combined to generate valid statistical inferences about the regression model.

The following statements use the REG procedure to generate regression coefficients:

   proc reg data=outmi outest=outreg covout noprint;
      model Oxygen= RunTime RunPulse;
      by _Imputation_;
   run;

The following statements display (in Output 55.3.1) output regression coefficients and their covariance matrices from PROC REG for the first two imputed data sets:

   proc print data=outreg(obs=8);
      var _Imputation_ _Type_ _Name_
         Intercept RunTime RunPulse;
      title 'REG Model Coefficients and Covariance Matrices'
            ' (First Two Imputations)';
   run;

The following statements combine the results for the imputed data sets. The EDF= option is specified to request that the adjusted degrees of freedom be used in the analysis. For a regression model with three independent variables (including the Intercept) and 31 observations, the complete-data error degrees of freedom is 28.

   proc mianalyze data=outreg edf=28;
      modeleffects Intercept RunTime RunPulse;
   run;