| PHUSE APAC |
2026 |
From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials |
Sakshi Kaushik |
source presentation source |
14 |
| PHUSE APAC |
2026 |
Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms |
Ajay Kumar Singh, Sabyasachi Mukherjee |
source presentation source |
12 |
| MWSUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| SESUG |
2024 |
A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods |
Muslihat Adejoke Gaffari |
source |
43 |
| SESUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| SESUG |
2024 |
Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging |
Victor Aderanti |
source |
31 |
| WUSS |
2023 |
What's next after model comparison? Model selection and model averaging in SAS |
Chong Ho Yu, Charlene Yang |
source |
14 |
| 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 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| 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 |
| SESUG |
2013 |
GLIMMIX_Rasch: A SAS Macro for Fitting the Dichotomous Rasch Model |
Yi-Hsin Chen |
source |
10 |
| 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 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi, Swapna Deshpande |
source presentation source |
12 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| 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 |
| SUGI |
2000 |
Correcting for Missing Discrete Responses in Business Surveys |
Lawrence C. Marsh |
source |
10 |
| SEUGI |
1996 |
Statistical models for thermal aging of steel materials in nuclear power plants |
Mattieu Persoz |
source |
11 |
| MWSUG |
1995 |
Randomization and Analysis of Body Weights in Rodent Toxicity Studies |
Jen-Fue Maa |
|
6 |
| SUGI |
1993 |
Strategies for Performing Multiple Comparisons on Means |
Jenny Aquino Kendall |
source |
7 |
| NESUG |
1992 |
More on Business Forecasting With SAS |
Jeffrey Jarrett |
|
5 |
| SEUGI |
1992 |
An Application Using the SAS System to Perform Williams' Test in Toxicity Studies |
Paolo Fina |
source |
9 |
| SEUGI |
1992 |
Automatic Forecasting Menu System |
Joachim Hefner |
source |
11 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |
| SUGI |
1992 |
POWER: A Simple Macro for Power and Sample Size Calculations |
Kristin Latour |
source |
5 |
| NESUG |
1991 |
Analysis of Higher-Order Crossover Trials |
Jonathan B. Skinner |
|
5 |
| SUGI |
1991 |
Using SAS/IML Software in a New Approach to Dealing with Multicollinearity |
Kevin D. Brunson, Lawrence C. Marsh |
source |
5 |
| SUGI |
1989 |
Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC |
Gary William Carr, Gerald Tlapa |
source |
8 |
| SUGI |
1988 |
Comparison of Quantile Estimation Methods in the UNIVARIATE Procedure |
Robert F. Carsel, Rudolph S. Parrish |
source |
6 |
| SUGI |
1985 |
A Time Series Approach to Modeling Daily Peak Electricity Demands |
Michael F. Jacob |
source |
6 |
| SUGI |
1984 |
On the Limitations of Akaike's Information Criterion and Its Use in PROC STATESPACE |
Jim Chavern |
source |
6 |
| SUGI |
1983 |
FAA Aviation Forecast Error Analysis System |
Sivaram Kalyandrug, Akira Kondo |
source |
6 |
| SUGI |
1983 |
Regression of Simultaneous Systems Subject to Highly Nonlinear Constraints |
William Alexander, C. Richard Shumway, Hovav Talpaz |
source |
6 |
| SUGI |
1980 |
MRR: A New Approach to Ridge Regression Using SAS |
T. Janakiraman, Lawrence C. Marsh |
source |
5 |