Proc QLIM

[FinDoc]

How do you get measure of model significance for a Tobit model in SAS Studio? I used QLIM and get the printout you see attached with number of endogenous variables, the name of the endogenous variable, log likelihood, maximum absolute gradient, number of iterations, optimization method, AIC and Schwarz criterion.

The reviewer for the paper wants an F, R square, adjusted R square and the standard error of the regression. How do I get or compute these? Please help, this is the last thing needed for our second re-submission of the article.

[ShelleySessoms]

Hi @FinDoc,

You may find this helpful: http://support.sas.com/kb/35/044.html.

As a best practice, it is good not to post the same question in multiple communities. It messes up the search functionality for the question. So, I ask you to please delete this same question that you posted in the SAS Studio community.

Best,

Shelley 

[FinDoc]

Never mind. I figured it out.

[altijani]

Hi,

I have the same issue. Can you please let me know how did you figure it out?

Thanks

[FinDoc · Accepted solution]

Certainly. It's PROC QLIM; MODEL .....; TEST x1=0,x2=0...../all; Gives you Wald, Likelihood Ratio and LaGrange Multiplier test statistics and p-values.

[altijani]

Many thanks.