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forward selection

41 papers; 40 titles.

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Conference × Year × Title × Authors Extras Pages
MWSUG 2025 How to Modify SAS 9 Programs to Run in SAS Viya Danny R. Modlin source 40
SGF 2021 Weight of Evidence, Dummy Variables and Degrees of Freedom Bruce S. Lund source
sas
presentation
pdf		 15
SGF 2020 A Survey of Methods in Variable Selection and Penalized Regression Yingwei Wang source 17
SGF 2020 Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada Jason A. Oliver source 19
WUSS 2019 A strategy for speed Dating YuTing Tian source 21
PharmaSUG 2019 %LOGBINAUTO: A SAS 9.4 Macro for Automated Forward Selection of Log-Binomial Models Matthew Finnemeyer source 12
SGF 2018 Regression Model Building for Large, Complex Data with SAS Viya Procedures Weijie Cai,
Robert N. Rodriguez		 source 22
SESUG 2017 Exploring JMP Modeling Functionality Using Consumer Expenditure Data Joshua Klick source 12
PHUSE EU 2017 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
MWSUG 2017 How Can an NBA Player Be Clutch?: A Logistic Regression Analysis Logan Edmonds 18
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
SESUG 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Robert N. Rodriguez source 23
MWSUG 2016 An Analysis of the Repetitiveness of Lyrics in Predicting a Song's Popularity Drew Doyle 12
MWSUG 2016 Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL Drew Doyle 11
WUSS 2016 Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software Robert N. Rodriguez source 23
SGF 2016 Finding and Evaluating Multiple Candidate Models for Logistic Regression Bruce S. Lund source
zip		 17
SGF 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Bob Rodriguez source 23
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
SESUG 2015 Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL Drew Doyle source 10
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
WUSS 2013 An Algorithm for ARIMA Dynamic Regression Variable Selection Ross Bettinger source 14
WUSS 2013 Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM William Garner source 11
PharmaSUG 2012 Automated forward selection for Generalized Linear Models with Categorical and Numerical Variables using PROC GENMOD Manuel Sandoval source 5
MWSUG 2011 SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG Fang Wang,
Hee-Choon Shin		 27
MWSUG 2011 Using SAS to Create Sales Expectations for Everyday and Seasonal Products Lory Ellebracht,
Jamie Netherton,
Casey Gentry		 10
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
SESUG 2007 Information Criteria Methods in SAS for Multiple Linear Regression Models Dennis J. Beal source 10
SCSUG 2007 A SAS Macro for Hosmer and Lemeshow's Purposeful Selection Model Building Algorithm: Description and Performance David Williams,
Zoran Bursac,
David K. Hosmer		 6
SGF 2007 SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD Bonnie E. Williams,
Todd Kegan		 source 12
SUGI 2006 Introducing the GLMSELECT Procedure for Model Selection Robert A. Cohen source 18
SESUG 2005 SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria Dennis J. Beal,
Oak Ridge		 source 6
SUGI 2005 On GSForward-The Experimental Variable Selection Node in SAS Enterprise Miner 5.1 Leonardo Auslender source 6
NESUG 2002 Integration of SAS and NONMEM for Automation of Population Pharmacokinetic/Pharmacodynamic Modeling on UNIX systems Alan Xiao,
Jill Fiedler-Kelly		 5
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
SUGI 1999 Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression James E. Dunn,
Lynette K. Duncan		 source 6
SESUG 1996 Stepwise Regression as a Multiple Comparison Procedure Rodney Sparapani 3
NESUG 1994 How to Survive PROC LIFETEST Peter P. Gaccione 10
SEUGI 1993 Variable Selection Techniques Implemented in Procedures of SAS Software Olaf Gefeller source 9
SUGI 1991 Managing Multicollinearity with the SAS System Rudolf J. Freund source 9

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