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32 papers; 25 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
WUSS 2019 A strategy for speed Dating YuTing Tian source 21
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 23
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 23
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 23
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
WUSS 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2018 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 13
SESUG 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 12
WUSS 2017 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 12
SGF 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory source 12
SGF 2015 Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 source 7
MWSUG 2014 Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 7
PHUSE EU 2012 Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS Harshada Joshi,
Swapna Deshpande		 source
presentation source		 12
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
WUSS 1996 Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System George C. J. Fernandez source 9
NESUG 1995 Understanding the Collinearity Diagnostics in SAS/INSIGHT and PROC REG Charles B. Hallahan 4
SEUGI 1994 Using SAS/IML Software to Develop Flexible Regression Models Edwin Gillespie,
Noel Wilson		 source 5
SUGI 1993 Practical Econometric Analysis for Assessment of Real Property Using the SAS System on Personal Computers Shah Amal,
Robert Weselowski		 source 6
SUGI 1990 Analyzing a Regression Model with a General Positive Definite Covariance Matrix with the SAS System Gerardo I. Hurtado source 7
SUGI 1989 Weighted Multicollinearity Diagnostics for Logistic Regression Brian D. Marx,
Eric P. Smith		 source 6
SUGI 1988 Using SAS/STAT Software's REG Procedure to Develop Sales Tax Audit Selection Models Kirk L. Johnson,
Richard W. Kulp		 source 6
SEUGI 1987 Tutorial on PROC REG Gerhard Held source 39
SUGI 1986 The Effect of Centering on the Condition Number of Polynomial Regression Models Robert B. Bendel source 5
SUGI 1986 Variable Selection and Case Analysis in Regression Gerald R. Hobbs source 6
SUGI 1984 Using SAS Procedures to Examine Monthly Levels of Industrial Natural Gas Sales John H. Herbert source 4
SUGI 1982 An Algorithm for Changing a Matrix in Correlation Form into a Positive Definite Matrix with a Certain Condition Number George A. Milliken source 5
SUGI 1982 Linear Models with Dominant Variables Peter S. Lufkin source 6

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