GENMOD: Longitudinal linear regression with continuous dependent variable

[cbt2119]

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

[ChrisNZ]

Moved to Procedures community and altered title.

[Ksharp]

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]

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 · Accepted solution]

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]

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

[cbt2119]

Okay, thank you, I will try this!