Select a Version
1. Are you are using a 32-bit or 64-bit machine?
- Not sure? See Microsoft’s instructions.
2. Are you using 32-bit or 64-bit SAS?
- In SAS, go to HELP > ABOUT SAS 9.
- Under Software Information “64” = 64-bit SAS.
- “64” not displayed = 32-bit SAS.
|PROC SCADLS & PROC SCADGLIM:||32-bit Windows, 32-bit SAS (v. 1.2)|
|64-bit Windows, 32-bit SAS (v. 1.2)|
|64-bit Windows, 64-bit SAS (v. 1.2)|
|Users’ Guide:||PROC SCADLS & SCADGLIM Users’ Guide (v. 1.2)|
If you have questions or comments, please email MChelpdesk@psu.edu. If your organization does not permit download and installation of files, please contact us with a shipping address and we will provide a CD containing all downloadable files.
PROC SCAD works with 32-bit versions of SAS.
Variable selection is a classic and very important problem in applied statistics. Methodology Center researcher Dr. Runze Li and his collaborators have been studying penalized likelihood approaches to automatic variable selection for predictive modeling when the number of potential predictors is very large. This involves adjusting the likelihood function using a penalty that rewards parsimony. One such penalty function, which has some favorable theoretical properties, is the smoothly clipped absolute deviation (SCAD) penalty (see Fan & Li, 2001).
The Methodology Center released two SAS procedures, PROC SCADLS, which does linear regression using penalized least squares with the SCAD penalty and SCADGLIM which implements the SCAD variable selection method in the context of penalized maximum-likelihood generalized linear regression models. This approach automatically selects and estimates a model at the same time.
Fan, J., & Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96(456), 1348-1360.
PROC SCADLS & PROC SCADGLIM (Version 1.2.1) [Software]. (2014). University Park: The Methodology Center, Penn State. Retrieved from methodology.psu.edu
Dziak, J. J., Lemmon, D. R., Li, R., & Huang, L. (2014). PROC SCADLS users’ guide (Version 1.2). University Park: The Methodology Center, Penn State. Retrieved from methodology.psu.edu
Dziak, J. J., Lemmon, D. R., Li, R., & Huang, L. (2014). PROC SCADGLIM users’ guide (Version 1.2). University Park: The Methodology Center, Penn State. Retrieved from methodology.psu.edu