BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Nancych
Fluorite | Level 6

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
22.16666667B2.588006538.57<.0001
39.06666667B2.5880065315.10<.0001
59.96666667B2.5880065323.17<.0001
4.26666667B2.588006531.650.1113
0.00000000B...

 

Please see my code below:

 

proc glm data=DrugTest;

class Drug gender;

model Y = Drug GENDER/ noint solution;

run;

 

Thank you so much!

Nancy

 

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
Rick_SAS
SAS Super FREQ

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.

 

View solution in original post

3 REPLIES 3
Nancych
Fluorite | Level 6

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
SAS Super FREQ

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
Fluorite | Level 6

Thank you very much, it is helpful!

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 3 replies
  • 1742 views
  • 0 likes
  • 2 in conversation