| 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 |