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ordinal variable

47 papers and 1 presentation; 39 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2022 Safety ADaM Automation from Design to Implementation [presentation] Chengxin Li,
Toshio Kimura
source
video
18
SESUG 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source 30
SGF 2021 Copying Data Between SAS and JSON Files Bruce F. Gilsen source
presentation
30
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng
source
presentation
11
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
SCSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach source 15
SESUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach,
Keith J. Brown
source 15
PharmaSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels Keith J. Brown,
John R. Gerlach
source 15
SGF 2018 A Study of Modeling Approaches for Predicting Dropout in a Business College Helmut Schneider,
Xuan Wang
source 8
SGF 2016 An Application of the PRINQUAL Procedure to Develop a Synthetic Index of Customer Value for a Colombian Financial Institution Ivan Atehortua,
Diana Flórez
source 7
MWSUG 2015 Using SAS Programs to Conduct Discriminate Analysis Mengyu Liu 6
WUSS 2015 An Example of Discriminate Analysis in SAS using Seal Vocalization Data Mengyu Liu source 6
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
SGF 2015 Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables Alec Zhixiao Lin source 27
SESUG 2014 Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development Alec Zhixiao Lin,
Tung-Ying Hsieh
23
SGF 2014 Data Coarsening and Data Swapping Algorithms Tom Krenzke,
Katie A. Hubbell,
Mamadou Diallo,
Amita Gopinath,
Sixia Chen
source 19
SGF 2014 Dining with the Data: The Case of New York City and Its Restaurants Pruthvi Bhupathiraju Venkata,
Goutam Chakraborty
source 7
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
SGF 2013 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI Multiple Imputation source 12
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
WUSS 2012 SAS Rule-Based Codebook Generation for Exploratory Data Analysis Ross Bettinger source 8
SGF 2012 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
SGF 2010 Let SAS Do the Work: Correlation Crossroads Theresa Gilligan,
Cheryl Coon,
Lauren Nelson,
Lori D. McLeod,
Yung-Jui Yang
source 18
SGF 2009 Generate a Customized Axis Scale with Uneven Intervals in SAS - Automatically Perry Watts source 13
SGF 2009 Learning When To Be Discrete: Continuous vs. Categorical Predictors David J. Pasta source 10
WUSS 2008 Learning When To Be Discrete: Continuous vs. Categorical Predictors David J. Pasta source 6
NESUG 2008 Generate a Customized Axis Scale with Uneven Intervals in SAS - Automatically Perry Watts 9
PharmaSUG 2006 Analyzing Ordinal Repeated Measures Data Using SAS Bin Yang 8
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
PharmaSUG 2005 Program Templates for Report Generation Roger J. DeAngelis,
Thousand Oaks
9
WUSS 2004 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
SEUGI 1999 Segmentation of the Slovenian retail bank market Anuska Ferligoj,
Igor Horvat,
Joze Rovan
source 14
MWSUG 1998 Using SAS PROC GENMOD for Log-linear Association Models of Ordinal Data James R. Hershey 4
SUGI 1997 Developing Risk Adjustment Techniques Using the SAS System for Assessing Health Care Quality in the IMSystem Yanchun Xu,
Andrius Kubilius
source 5
SUGI 1996 Computing Min and Max Scorings for Two-Sample Ordinal Data Lyn Whitaker,
Michael D. Whitaker
source 6
SEUGI 1995 Macro Procedure for Equivalence Testing Francois Montestruc source 16
SUGI 1988 Estimation of Row and Column Scores in the Linear-by-Linear Model for Two-Way Ordinal Contingency Tables Charles S. Davis source 6
SUGI 1985 Analyzing Tables with Ordered Categories Ginger Caldwell,
John D. Smith
source 6

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