| PharmaSUG |
2016 |
Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis |
Sakthivel Sivam, Subbiah Meenakshisundaram |
source |
8 |
| SGF |
2015 |
Using the SAS-PIRT Macro for Estimating the Parameters of Polytomous Items |
Sung-Hyuck Lee |
source |
9 |
| SESUG |
2014 |
Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure |
Yi-Hsin Chen |
|
11 |
| SGF |
2014 |
The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge |
Roosevelt Mosley, Nick Kucera |
source |
15 |
| SGF |
2013 |
What Score Should Johnny Get? Missing_Items SAS Macro for Analyzing Missing Item Responses on Summative Scales |
Jeffrey D. Kromrey, Patricia Rodríguez de Gil |
source pdf |
12 |
| SESUG |
2011 |
Missing_Items: A SAS Macro for Missing Data Imputation in Summative Response Scales |
Patricia Rodríguez de Gil, Jeffrey D. Kromrey |
source |
13 |
| MWSUG |
2008 |
Experimental Learning: Use of JMP Journal in Six Sigma Green and Black Belt Training |
Amurthur Ramamurthy, Paul Cook |
|
16 |
| SESUG |
2007 |
Information Criteria Methods in SAS for Multiple Linear Regression Models |
Dennis J. Beal |
source |
10 |
| WUSS |
2006 |
Detecting Structural Change Using SAS ETS Procedures |
Archie J. Calise, Joseph E. Earley |
source |
7 |
| SUGI |
2005 |
Structured Neural Network Techniques for Modeling Loyalty and Profitability |
Carl Lee, Tim Rey, James W. Mentele, Michael Garver |
source |
13 |
| SESUG |
2002 |
Using JMP to Develop a Model Specification for Daily Energy Consumption |
Thomas A. Fuchs |
source |
5 |
| SEUGI |
1992 |
An Application Using the SAS System to Perform Williams' Test in Toxicity Studies |
Paolo Fina |
source |
9 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |