## Model option of Solution in Proc GLM/Mixed

Solved
Occasional Contributor
Posts: 5

# Model option of Solution in Proc GLM/Mixed

Hi,

does anyone know how to interprate the fixed effects in Solutions when the intercept is canceled, such as Drug A, D,G and Gender F as below?

The GLM Procedure

Dependent Variable: Y

Parameter Estimate   StandardError t Value Pr > |t|Drug ADrug DDrug GGender FGender M
 22.1667 B 2.58800653 8.57 <.0001 39.0667 B 2.58800653 15.10 <.0001 59.9667 B 2.58800653 23.17 <.0001 4.26667 B 2.58800653 1.65 0.1113 0 B . . .

proc glm data=DrugTest;

class Drug gender;

model Y = Drug GENDER/ noint solution;

run;

Thank you so much!

Nancy

Accepted Solutions
Solution
‎02-14-2018 10:01 PM
SAS Super FREQ
Posts: 4,245

## Re: Model option of Solution in Proc GLM/Mixed

Do you know how to interpret the coefficients for the intercept case?  It's the same idea for the no-intercept model, except the intercept term is assigned to the last level of DRUG.

For males, the mean response is 22, 38, and 60 for Drugs A, D, and G, respectively.

For females, the mean response is 4.3 units higher at each level of DRUG.

If you turn on ODS graphics and put

PLOTS=IntPlot;

on the PROC GLM statement, you can see plots of the regression.

All Replies
Occasional Contributor
Posts: 5

## Re: Model option of Solution in Proc GLM/Mixed

The results are re-posted as below

 Parameter Estimate Standard Error t Value Pr > |t| Drug A 22.16666667 2.58800653 8.57 <.0001 Drug D 39.06666667 2.58800653 15.10 <.0001 Drug G 59.96666667 2.58800653 23.17 <.0001 Gender F 4.26666667 2.58800653 1.65 0.1113 Gender M 0.00000000 . . .
Solution
‎02-14-2018 10:01 PM
SAS Super FREQ
Posts: 4,245

## Re: Model option of Solution in Proc GLM/Mixed

Do you know how to interpret the coefficients for the intercept case?  It's the same idea for the no-intercept model, except the intercept term is assigned to the last level of DRUG.

For males, the mean response is 22, 38, and 60 for Drugs A, D, and G, respectively.

For females, the mean response is 4.3 units higher at each level of DRUG.

If you turn on ODS graphics and put

PLOTS=IntPlot;

on the PROC GLM statement, you can see plots of the regression.

Occasional Contributor
Posts: 5

## Re: Model option of Solution in Proc GLM/Mixed

Thank you very much, it is helpful!

☑ This topic is solved.