I have received the following output in Proc Logistic:
Variable | DF | Estimate | StdErr | WaldChiSq | ProbChiSq | StandardizedEst |
Intercept | 1 | -0.1744 | 0.2316 | 0.5671 | 0.4514 | _ |
Var1 | 1 | 1.7537 | 0.2977 | 34.7055 | <.0001 | 0.0772 |
Var2 | 1 | 0.0262 | 0.00393 | 44.3659 | <.0001 | 0.0792 |
Var3 | 1 | -0.4627 | 0.0773 | 35.8634 | <.0001 | -0.0813 |
Var4 | 1 | -0.3209 | 0.049 | 42.8821 | <.0001 | -0.0884 |
Var5 | 1 | -0.00191 | 0.000206 | 86.6722 | <.0001 | -0.1216 |
Var6 | 1 | -0.7336 | 0.1117 | 43.1698 | <.0001 | -0.1282 |
Var7 | 1 | -0.9459 | 0.1632 | 33.5811 | <.0001 | -0.057 |
How do I convert it into scoring formula?
I tried a formula based on the Estimate column:
-0.1744+1.7537*Var1+0.0262*Var2-0.4627*Var3 etc.. However, the result I am getting does not match the Score if I were to score using Proc Logistic (Proc Logistic Inmodel=a.Model)
I need to be able to create the score produced using Inmodel statement, but using linear function Intercept+XVar1+YVar2... Which info from the output I should be using and what is the transformation (if any) required?
Thank you!