jhancardiac
Programmer
I am using PROC MIXED to estimate a 2nd order polynomial parameters (3 parameters), fitted to Heat-Stress at 2 Ca groups, each contains 10 Muscle subjects.
Proc mixed data=work.sas method=ML;
class Ca Muscle;
model Heat = Ca Ca*Stress Ca*Stress*Stress / noint solution CL COVB;
random intercept / subject=Muscle G CL group=Ca;
repeated / subject=Muscle group=Ca;
run;
The PROC MIXED outputs only the 3 parameters of the regression line, and corresponding parameter confidence intervals.
Any idea on how to get the parameters that describes the 95% confidence bands?
Thanks.
Proc mixed data=work.sas method=ML;
class Ca Muscle;
model Heat = Ca Ca*Stress Ca*Stress*Stress / noint solution CL COVB;
random intercept / subject=Muscle G CL group=Ca;
repeated / subject=Muscle group=Ca;
run;
The PROC MIXED outputs only the 3 parameters of the regression line, and corresponding parameter confidence intervals.
Any idea on how to get the parameters that describes the 95% confidence bands?
Thanks.