| SGF |
2016 |
Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures |
Diep T. Nguyen, Sean Joo, Anh P. Kellermann, Jeffrey D. Kromrey, Jessica Montgomery, Yan Wang |
source presentation |
10 |
| SGF |
2016 |
Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS |
Jeffrey D. Kromrey |
source |
15 |
| SESUG |
2015 |
High-Performance Procedures in SAS 9.4: Comparing Performance of HP and Legacy Procedures |
Jessica Montgomery, Sean Joo, Anh P. Kellermann, Jeffrey D. Kromrey, Diep T. Nguyen, Yan Wang |
source |
10 |
| SGF |
2015 |
An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies |
Shetay Ashford, Chunhua Cao, Eun Sook Kim, Rheta Lanehart, Reginald Lee, Jessica Montgomery, Yan Wang |
source |
20 |
| SGF |
2015 |
GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models |
Anh P. Kellermann, Yi-Hsin Chen, Jeffrey D. Kromrey, Thanh Pham, Patrice Rasmussen, Jeanine L. Romano |
source |
12 |
| SESUG |
2014 |
ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models |
Diep T. Nguyen, Thanh V. Pham, Tyler Hicks, Yan Wang, Isaac Y. Li, Aarti P. Bellara, Jeanine L. Romano, Eun Sook Kim, Harold Holmes, Yi-Hsin Chen, Jeffrey D. Kromrey |
source |
12 |
| SGF |
2014 |
Trimmed_t: A SAS Macro for the Trimmed T-Test |
Anh P. Kellermann, Diep T. Nguyen, Eun Sook Kim, Jeffrey D. Kromrey |
source |
13 |
| SESUG |
2013 |
SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples |
Jeanine L. Romano, Thanh Pham, Diep T. Nguyen, Jeffrey D. Kromrey, Eun Sook Kim |
source |
9 |
| SGF |
2013 |
DICHOTOMIZED_D: A SAS Macro for Computing Effect Sizes for Artificially Dichotomized Variables |
Aarti P. Bellara, Harold Holmes, Isaac Y. Li, Jeanine L. Romano, Jeffrey D. Kromrey, Patrice Rasmussen, Yi-Hsin Chen |
source |
12 |
| SGF |
2013 |
GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models |
Anh P. Kellermann, Jeanine L. Romano, Jeffrey D. Kromrey, Patrice Rasmussen, Thanh Pham, Yi-Hsin Chen |
source pdf |
10 |
| SGF |
2013 |
Variance Heterogeneity and Non-Normality: How the SAS TTEST Procedure Can Keep Us Honest |
Aarti P. Bellara, Anh P. Kellermann, Diep T. Nguyen, Eun Sook Kim, Jeffrey D. Kromrey, Yi-Hsin Chen |
source pdf |
10 |
| SGF |
2013 |
What Score Should Johnny Get? Missing_Items SAS Macro for Analyzing Missing Item Responses on Summative Scales |
Jeffrey D. Kromrey |
source pdf |
12 |
| SESUG |
2012 |
A Randomization Test SAS/IML Program for Making Treatment Effects Inferences for Extensions and Variations of ABAB Single-Case Experimental Designs |
John M. Ferron |
source |
8 |
| SGF |
2012 |
Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures |
Rheta E. Lanehart, Eun Sook Kim, Aarti P. Bellara, Jeffrey D. Kromrey, Reginald Lee |
source |
11 |
| SESUG |
2011 |
Missing_Items: A SAS Macro for Missing Data Imputation in Summative Response Scales |
Jeffrey D. Kromrey |
source |
13 |