Dear all,
I have this logistic regression model and would like to extract the p value of the interaction term "drug*var1".
proc glm data=test;
model bodyweight = drug var1 drug*var1;
run;
Problem is I need to do this 600 times because there are var1, var2, var3..... .... var600. Any thoughts appreciated!!
Raymond
Transpose the 600 variable to observations with and BY variable that IDs them. Then run your program with BY statement.
thanks for the quick reply
not sure if I understand fully and I have attached the screen shots of dataset and the transposed screenshot.
can u be more specific how to plug variable names into this regression model?
proc glm data=transposed;
model bodyweight= drug var1 drug*var1
run;
Don't show screen shots. Include example data in your post that can me copied and pasted into a program.
thanks again.
the dataset (call it dataset1) looks like this
var1 | var2 | var3 | |
patient1 | 10 | 1 | 1000 |
patient2 | 0 | 2 | 1400 |
patient3 | 30 | 3 | 1300 |
patient4 | 40 | 4 |
1600 |
after transposing it (call it dataset2), it looks like this and I added varname as the header
varname | patient1 | patient2 | patient3 | patient4 |
var1 | 10 | 0 | 30 | 40 |
var2 | 1 | 2 | 3 | 4 |
var3 | 1000 | 1400 | 1300 | 1600 |
How do I plug the variables (var1....var3) into the regression model?
thanks
Run this example and study how it works.
proc transpose data=sashelp.class out=class;
by name age sex;
var height weight;
run;
proc sort data=class;
by _name_;
run;
proc print;
run;
proc glm;
by _name_;
class sex;
model age= sex sex*col1;
run;
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