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cbt2119
Obsidian | Level 7

Dear SAS Community,

 

 

I am fitting a couple of generalized linear regression model with continuous outcomes: BUA, SOS, SI. The independent predictors are both categorical and continuous and my data is in long form. I would like to use PROC GENMOD for this, but I'm not sure if my code is calling the correct type of model. Do I need to include a repeated statement for the visit variable or should the code below work? 

 

Outcome=SOS (continuous)

Predictor=Group (dichotomous)

Time Variable=Visit (1,2,3)

 

proc genmod data=qus;
	class group (ref="2") / param=ref;
	class visit (ref="1") / param=ref;
	class id;
	model sos = group visit / dist=normal link=identity;
	run; 

Thank you,

Cara

1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User

I think you should drop VISIT .

 

proc genmod data=qus;
	class group (ref="2") / param=ref;
	class id;
	model sos = group  / dist=normal link=identity;
repeated subject=id / within=visit;
	run; 

View solution in original post

6 REPLIES 6
Ksharp
Super User

Yes. You should consider use GEE or Mixed model,since you have visit variable(repeated measure).

Check 

PROC GEE  

or 

PROC GENMOD + REPEATED statement

 

or

PROC MIXED 

PROC GLIMMIX

cbt2119
Obsidian | Level 7

Thank you. So when I add the following repeated statement, not much changes to my model output. Am I using the statement correctly?

 

proc genmod data=qus;
	class group (ref="2") / param=ref;
	class visit (ref="1") / param=ref;
	class id;
	model sos = group visit / dist=normal link=identity;
repeated subject=id;
	run; 
Ksharp
Super User

I think you should drop VISIT .

 

proc genmod data=qus;
	class group (ref="2") / param=ref;
	class id;
	model sos = group  / dist=normal link=identity;
repeated subject=id / within=visit;
	run; 
Ksharp
Super User

And better post it at STAT forum , @StatDave  is there . I am not expert about statistic .

cbt2119
Obsidian | Level 7

Okay, thank you, I will try this!

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