Model option of Solution in Proc GLM/Mixed

[Nancych]

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

22.16666667	B	2.58800653	8.57	<.0001
39.06666667	B	2.58800653	15.10	<.0001
59.96666667	B	2.58800653	23.17	<.0001
4.26666667	B	2.58800653	1.65	0.1113
0.00000000	B	.	.	.

Please see my code below:

proc glm data=DrugTest;

class Drug gender;

model Y = Drug GENDER/ noint solution;

run;

Thank you so much!

Nancy

[Nancych]

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		.	.	.

[Rick_SAS · Accepted solution]

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.

[Nancych]

Thank you very much, it is helpful!