best subsets

17 papers; 17 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
WUSS	2018	Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG	L. Grisell Diaz-Ramirez, Siqi Gan, Sei J. Lee, Alexander Smith, John Boscardin	source	14
SGF	2016	Finding and Evaluating Multiple Candidate Models for Logistic Regression	Bruce S. Lund	source zip	17
WUSS	2013	Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM	William Garner	source	11
WUSS	2013	Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building	Yinghui Miao, Irena Stijacic Cenzer, Katharine Kirby, W. John Boscardin	source	13
SGF	2013	Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples	Irena Stijacic Cenzer, W. John Boscardin, Katharine Kirby, Yinghui Miao	source	12
WUSS	2012	Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples	Irena Stijacic Cenzer, Yinghui Miao, Katharine Kirby, W. John Boscardin	source	9
SGF	2008	Advanced Statistical and Graphical features of SAS PHREG	Lida Gharibvand, George C. J. Fernandez	source	12
SGF	2008	How to Use SAS to Fit Multiple Logistic Regression Models	Anpalaki J. Ragavan	source	13
WUSS	2007	Recreating the SELECTION=SCORE Model Specification with the BEST=n Effect Selection Option for PROC SURVEYLOGISTIC	Sara R. Adams, David R. Mink, Dave P. Miller	source	8
PharmaSUG	2007	Effects of Multicollinearity in All Possible Mixed Model Selection	George C. J. Fernandez		18
SGF	2007	Model Selection in PROC MIXED-A User-Friendly SAS Macro Application	George C. J. Fernandez	source	20
SUGI	2005	Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria	Emily M. Cain, Ken Kleinman, Ernest S. Shtatland	source	10
SUGI	2004	A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging	Ernest S. Shtatland, Ken Kleinman, Emily M. Cain	source	11
SUGI	2003	STEPWISE Methods in Using SAS PROC LOGISTIC and SAS Enterprise MinerTM for Prediction	Ernest S. Shtatland, Ken Kleinman, Emily M. Cain	source	6
SUGI	2001	The Perils of Stepwise Logistic Regression and How to Escape Them Using Information Criteria and the Output Delivery System	Ernest S. Shtatland, Mary B. Barton, Emily M. Cain	source	6
SUGI	1995	Bootstrap Cox Regression Using SAS Procedures	Chikuma Hamada, Junji Kishimoto	source	5
SEUGI	1993	Variable Selection Techniques Implemented in Procedures of SAS Software	Olaf Gefeller	source	9

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