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proc corr

122 papers and 2 presentations; 113 titles.

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Conference × Year × Title × Authors Extras Pages
MWSUG 2024 Evaluating Internal Consistency of Questionnaire Data Yida Bao,
Zheng Zhang,
Jiafeng Ye,
Liangliang Xu,
Tao Jiang,
Yongli Zhao,
Philippe Gaillard
source 15
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng
source
presentation
11
SGF 2020 %SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building David R. Nelson,
Siew Wong-Jacobson
source 20
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS Bethany A. Bell source 27
SGF 2020 Tricks of the Trade: Streamlining and Enhancing Your SAS Sessions Debra A. Goldman source 11
SESUG 2019 Computing Classical Item Statistics in SAS Using the Long vs. Wide Form of the Data Imelda C. Go source 6
SCSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers source 28
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS Troy Martin Hughes 8
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader
source 23
SGF 2019 Analyzing Structural Causal Models using the CALIS Procedure Banoo Madhanagopal,
John Amrhein
source 23
SGF 2019 Causal Analyses Using Structural Equation Models Banoo Madhanagopal,
John Amrhein
source 23
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SESUG 2018 Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS Troy Martin Hughes source 8
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson
source 23
MWSUG 2018 Confounded? This example shows how to use SAS chi-square tests, correlations and logistic regression to unconfound a result. Michael C. Grierson 13
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader
23
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt
20
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
PharmaSUG 2018 Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS Troy Martin Hughes source 8
SGF 2018 Estimation of Correlation Coefficient in Data with Repeated Measures Katherine Irimata,
Paul Wakim,
Xiaobai Li
source 19
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Simple Methods for Repeatability and Comparability: Bland-Altman Plots, Bias, and Measurement Error Maribeth H. Johnson,
Jennifer L. Waller
source 12
SGF 2018 Using the COPULA Procedure to Simulate Multivariate Data Bill Qualls source 8
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
MWSUG 2017 Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody
22
WUSS 2017 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 12
WUSS 2017 Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS Troy Martin Hughes source 8
SGF 2017 A Moment-Matching Approach for Generating Synthetic Data in SAS Brittany Bogle,
Jared Erickson
source 17
SGF 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory source 12
SGF 2017 Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS Troy Martin Hughes source 7
SGF 2017 Where Does Cleopatra Really Belong? An Analysis of Slot Machine Placement and Performance Using SAS Stephen Tam source 12
SESUG 2016 A Macro for Calculating Kendall's Tau-b Correlation on Left Censored Environmental Data Dennis J. Beal,
Oak Ridge
source 13
SESUG 2016 Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins
source 9
MWSUG 2016 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory 2
WUSS 2016 How we know an intervention works: Program evaluation by example AnnMaria De Mars source 13
SESUG 2015 A SAS Macro for Improved Correlation Coefficient Inference Stephen W. Looney source 7
WUSS 2015 Alternative use of proc corr: product co-distribution analysis Amarnath Vijayarangan source 6
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
SGF 2014 Estimating Ordinal Reliability Using SAS Laura Kapitula source 6
SGF 2014 Recommending TV Programs Using Correlation John Dilip Raj,
Ledalla Venkata Naga Rajendra,
Qing Wang
source 6
SGF 2014 Top Seven Techniques for Creating SAS Web Applications Yogendra Joshi source 20
SGF 2014 Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores Renee Gennarelli,
Melody S. Goodman
source 10
NESUG 2013 Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR Renee Gennarelli,
Melody S. Goodman
7
NESUG 2013 Proc SurveyCorr Jessica R. Hampton 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
WUSS 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
SGF 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
SGF 2012 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg source 10
SESUG 2011 Creating Correlated Variable Tables Dynamically John Barrow,
Aref Dajani
source 8
NESUG 2011 Feature Selection and Dimension Reduction Techniques in SAS Sassoon Kosian,
Varun Aggarwal
6
NESUG 2011 Modern Portfolio Theory Using SAS OR Murphy Choy 8
NESUG 2010 Creating Trellis Graph Using SAS Jane X. Liao 9
NESUG 2010 The Quest for Causation: An Introduction to Correlation and Regression Analysis Ian Stockwell 9
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
PharmaSUG 2010 Using SAS to Compute Partial Correlation Jianxin Lin,
Aiming Yang,
Arvind Shah
5
SGF 2010 Kick Start with ODS Erik W. Tilanus,
Ellen Lokollo
source 10
MWSUG 2009 Using PROC CALIS and PROC CORR to Compare Structural Equation Modeling Based Reliability Estimates and Coefficient Alpha When Assumptions are Violated Fei Gu,
Todd Little,
Neal M. Kingston
10
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong
11
NESUG 2009 Customizing a Correlation Matrix That Would Make Pearson Proud Aaron Hill 10
NESUG 2009 What Drives Physicians to Use A Particular Product when Prescribing Marc States 5
WUSS 2009 Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis Diana D. Suhr,
Mary Shay
source 15
SGF 2009 ODS 101+ Erik W. Tilanus source 20
SESUG 2008 Tailoring the use of SAS Enterprise Miner Sascha Schubert source 14
SESUG 2008 Techniques for Evidence-Based Decision Making Using SAS Ian Stockwell source 8
SGF 2008 Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research Hui Liu,
David Shen,
Louie Huang
source 8
SGF 2008 Introduction to Correlation and Regression Analysis Ian Stockwell source 8
SGF 2008 ODS for the Professional Statistician Steven M. LaLonde source 9
SGF 2008 Tailoring the use of SAS Enterprise Miner Sascha Schubert source 14
NESUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 18
NESUG 2007 Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures Suhas R. Sanjee,
Sheng Zhang
7
SESUG 2007 Reducing PROC CORR Output using ODS and Data Step Carry W. Croghan source 7
SESUG 2007 The CORR Procedure and Power of GTL Mirjana Stojanovic source 10
PharmaSUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 17
MWSUG 2006 How to use Summary Statistics as raw data to do basic statistical analysis Dachao Liu 6
NESUG 2006 Data Analysis: Beyond the Basics Ian Stockwell 9
SUGI 2006 Computation of Correlation Coefficient and Its Confidence Interval in SAS David Shen,
Zaizai Lu
source 6
SESUG 2005 What Do You Mean You Don't Have SAS!!!?? Using the Power of the SAS Data Step to Create Cluster Scoring Code That Is Not Platform Dependent Bill Hartley source 5
SUGI 2005 A SAS Macro for Visually Displaying Correlations between Brain Regions Using fMRI Data Warren B. Bilker,
Colleen M. Brensinger,
Ruben C. Gur,
Maximilian Herlim
source 6
SUGI 2005 Rounding after Multiple Imputation with Non-Binary Categorical Covariates Christopher F. Ake source 11
NESUG 2004 ODS for the Statistician Steven M. LaLonde 5
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski
source 9
MWSUG 2004 Explore, Analyze, and Summerize Your Data with SAS Software:Selecting the Most Appropriate Power Tool from a Rich Portfolio LeRoy Bessler 20
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
WUSS 2003 Picturing Statistics Diana D. Suhr source 6
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
MWSUG 2003 ThunderCell Plot Interpretation of Correlation Matrices Using the SAS System George J. Hurley 6
SEUGI 2003 The Topic Scoring Engine [presentation] Ulrich Reincke source 37
SUGI 2003 Reliability, Exploratory and Confirmatory Factor Analysis for the Scale of Athletic Priorities Diana D. Suhr source 7
SCSUG 2002 Grading Efficiency Based On Gamma Distribution with SAS Procedures Dagan Zhang 8
SCSUG 2002 ODS: A Primer Matthew Grover 8
NESUG 2002 Psychometrics 101 Ronald P. Cody 9
WUSS 2002 Reliability, Exploratory, & Confirmatory Factor Analysis for the Scale of Atheletic Priorities Diana D. Suhr source 8
SEUGI 2002 Integrating With .NET - Patterns for Leveraging SAS in Microsoft's Strategic Architecture [presentation] Daniel Jahn source 29
SESUG 2000 Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin Alvin L. Killough source 8
WUSS 1999 Evaluating Student Performance in Statistics Using SAS/ETS Procedures Seid M. Zekavat,
Marianna Fratkina
source 4
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1999 Psychometrics 101 Ronald P. Cody 9
MWSUG 1997 Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals Lynette A. Gerstner 7
SESUG 1996 Using SASe to Write a LlSREL Program Francis J. Kelley 8
SCSUG 1995 A Macro for Displaying Correlation Matrices Diana L. Urbauer,
Stephen I. Black
23
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
NESUG 1994 Exploratory Data Analysi When You Don't Have SAS/INSIGHT Michael A. Walega 10
SESUG 1994 Critical Steps to Meaningful Causal Data Analysis Deborah Wall 4
SUGI 1994 A SAS Approach to the Theory of Optimal Level of Output and Employment: A Management Decision-making Case Seid M. Zekavat source 4
SUGI 1994 Exploring Data With Base SAS Software Thomas J. Winn Jr. source 6
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
SUGI 1993 Using the SAS System to Integrate Managerial Economics Concepts of Optimization Seid M. Zekavat source 6
NESUG 1992 Getting to Know Your Data Using SAS Felicia Borglum 7
SUGI 1991 Testing Separate Correlations for Homogeneity and Estimating Common Correlations: Extending the Information from the CORR Procedure Jose Maria J. Alvir,
Jeffrey A. Lieberman,
Gail Lerner
source 3
SUGI 1990 The Distribution of Cronbach's Coefficient Alpha from the CORR Procedure of SAS Software Andrew J. Cucchiara,
Susan J. Kenny,
J. Paul Costiloe
source 6
SUGI 1989 How to Perform Jonckheere's Test Using the CORR Procedure E. Jacquelin Dietz,
Richard W. Morris
source 3
SUGI 1987 Some Applications of PROC MATPAR: Match Pair Partial Correlation Procedure Chun Chen,
Robert E. Johnson
source 6
SUGI 1986 Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures Mary Lynn Spada source 4
SUGI 1986 Automatic Generating of Simple Repetitive SAS Code Marianne Cumming,
H. Ian Whitlock
source 6
SUGI 1984 The Use of the SAS System under VM/CMS in Teaching Introductory Statistics: A Model for Instructing First-Time Computer Users Delwyn L. Harnisch,
Carolyn J. Palmer
source 4
SUGI 1979 Analyzing Large Data Sets Using PROC SSCP and GLMMS Ronald W. Helms,
James D. Hosking
source 5

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