10-20-2016 04:45 PM
Usually t-test is applied to test the significance of coefficient estimates. But HPGENSELECT uses chi-square test (see table below). Why?
Parameter Estimates from HPGENSELECT
Parameter | DF | Estimate | Standard Error | Chi-Square | Pr > ChiSq |
Intercept | 1 | 3.405338 | 0.142788 | 568.768 | <.0001 |
10-20-2016 04:52 PM
You can change that, can't you?
10-21-2016 09:53 AM
Reeza, thanks a lot for your help. I try to understand that how Chi-square can be used to test the significance of coefficient. Do you have any reference? thanks!
10-24-2016 11:57 AM
You are correct that for OLS regression and normally distributed errors you can use t tests. However, HPGENSELECT is most closely related to the GENMOD procedure, not the GLM procedure. For generalized linear models, the errors are not normally distributed and the solution technique is maximum likelihood estimation. The docs for PROC LOGISTIC and PROC GENMOD mention that confidence intervals are based on the likelihood ratio, and the statstic that is used has an asymptotic chi-square distribution:
10-24-2016 02:25 PM
Thanks for your reply. The links you attached is very helpful.