pearson partial correlation with PROC CORR and PROC GLM

[Sandrapharma]

I am trying to calculate the pearson partial correlation between continuous variables, x and y adjusted by continuous variable z. based on this article https://www.lexjansen.com/pharmasug/2010/SP/SP01.pdf, the following two procedure will give the same results (Pearson correlation from PROC CORR will be the same as the sqrt(R Square) from PROC GLM. However, I always got different results. I am wondering why and which one I should use to calculate the partial correlation.

PROC CORR data = adqol;
var y;
with x;
partial z ;
run;

PROC GLM data=adqol;
model y = x z;
manova / printE;
run;
quit;

[PaigeMiller]

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@Sandrapharma wrote:

I am trying to calculate the pearson partial correlation between continuous variables, x and y adjusted by continuous variable z. based on this article https://www.lexjansen.com/pharmasug/2010/SP/SP01.pdf, the following two procedure will give the same results (Pearson correlation from PROC CORR will be the same as the sqrt(R Square) from PROC GLM. However, I always got different results. I am wondering why and which one I should use to calculate the partial correlation.

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Show us the results.

[Rick_SAS · Accepted solution]

I don't think your PROC GLM step is correct. You need to put both variables on the left hand side of the MODEL statement. Try this:

PROC CORR data = sashelp.class;
var Weight;
with Height;
partial Age;
run;

PROC GLM data=sashelp.class plots=none;
model Weight Height = Age;
manova / printE;
run;
quit;

[Sandrapharma]

thanks. it has been resolved after i put both variables on the left of the model statement for GLM