| PHUSE US |
2026 |
Handle with Care: Study-Specific Assessment of R Package Risk |
Shannon Grant |
source presentation source |
9 |
| PHUSE EU |
2025 |
Aspirations of language agnosticism - experiences expanding the programming stack with python |
Kaj Arai Hejlesen, Michael Svingel |
source presentation source |
9 |
| PHUSE EU |
2025 |
Contributions to CAMIS PHUSE Project in 2025: Tobit Regression, Reference-based Multiple Imputation and Tipping Point Analysis |
Yannick Vandendijck |
source presentation source |
12 |
| PHUSE EU |
2024 |
CDISC SDTM/SEND Generation Without Statistical Software: A Software Demonstration |
Jozef Aerts |
source |
3 |
| SESUG |
2024 |
Using SAS and R to Create Plot for Temperature Study |
Abbas S. Tavakoli, Isabelle Bennett, Robin B. Dail |
source |
10 |
| PharmaSUG CN |
2024 |
Openstatsware: who we are and what we build together |
Liming Li |
source |
3 |
| PharmaSUG |
2024 |
Piloting into the Future: Publicly available R-based Submissions to the FDA |
Benjamin Straub |
source |
9 |
| SESUG |
2023 |
Translating Common Data Visualizations from PROC SGPLOT to ggplot2 |
Austin R. Brown |
source |
11 |
| SESUG |
2023 |
Using Macro in SAS to Read, Combine Datasets, and Analysis NICU Study |
Abbas S. Tavakoli, Ashley Howard, Kayla Everhart, Jessica Bradshaw, Robin B. Dail |
source |
6 |
| PHUSE EU |
2022 |
If You Build it, Will They Come? The Pros and Cons of a Build Versus Buy Strategy for Statistical Computing Environments (SCEs) [presentation] |
Venu Mallarapu |
source |
13 |
| PHUSE EU |
2021 |
Methods and Challenges of R Validation for Regulatory Submission Analysis [presentation] |
Parvee Kumar |
source video |
14 |
| SESUG |
2021 |
Differentiate Yourself |
Kirk Paul Lafler |
source |
18 |
| PharmaSUG |
2021 |
Differentiate Yourself |
Kirk Paul Lafler |
source |
18 |
| PHUSE EU |
2020 |
Using R from End to End: CDISC SDTM and ADaM into .xpt and Output Generation [presentation] |
Antonio Rodríguez Contestí |
source video |
46 |
| SGF |
2020 |
Simulating Time Series Analysis Using SAS - Part II Cointegration [presentation] |
Ismail E. Mohamed |
source |
24 |
| SGF |
2020 |
Using Lag and Other Function in SAS to Create Final Datasets Temperature Study |
Abbas S. Tavakoli |
source |
14 |
| PHUSE US |
2019 |
Submission of Software Programs to Regulatory Agencies |
Maria Dalton |
source presentation source |
10 |
| PharmaSUG |
2018 |
A Method for Independent Program Validation utilising SAS, R and Python |
Aik Hoe Seah |
source |
13 |
| SGF |
2017 |
Modeling Actuarial Risk using SAS Enterprise Guide: A Study on Mortality Tables and Interest Rates |
Luiz Carlos Leao |
source |
20 |
| SGF |
2017 |
Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide |
Luiz Carlos Leao |
source |
20 |
| WUSS |
2016 |
Making SAS the Easy Way Out: Harnessing the Power of PROC TEMPLATE to Create Reproducible, Complex Graphs |
Debra A. Goldman |
source |
23 |
| SGF |
2016 |
Careers in Biotatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| SCSUG |
2015 |
Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References |
Maryam Tabarestani, Hector Zapata |
|
23 |
| PHUSE EU |
2015 |
EmpoweR your Application with R! |
Sudipta Basu, Pravin Holkar |
source presentation source |
11 |
| PHUSE EU |
2015 |
The Rewarding (and Rocky) Road from SAS Applications Programmer to SAS Software Developer |
Jeffrey M. Abolafia, Carrie Dundas-Lucca |
source presentation source |
8 |
| WUSS |
2014 |
Breaking Eggs to Make Omelets: Distributing Analytic Effort with Scrambled Datasets |
Margaret Warton, Howard Moffet, Andrew Karter |
source |
11 |
| WUSS |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| PharmaSUG |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| SGF |
2014 |
How will Big Data change Healthcare Delivery and the Life Sciences Industry? |
Mark Blatt |
source |
6 |
| SESUG |
2013 |
Platinum Gold |
Jennifer Parks |
source |
7 |
| PHUSE EU |
2013 |
Are We Really Doing Independent Validation of Statistician Procedures in SAS? [presentation] |
Sameer Bamnote |
source |
49 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi, Swapna Deshpande |
source presentation source |
12 |
| SGF |
2012 |
Visualizing Spatial Data Using SAS and Google Static Maps |
Jizhou Fu, Yanwei Zhang |
source |
9 |
| PHUSE EU |
2011 |
Using R to Validate Results of Other Programming Environments |
Nikhil Abhyankar, Vidyagouri Prayag |
source presentation source |
8 |
| PHUSE EU |
2010 |
New CDISC migration strategies and tools: determining the best approach and employing automated data mapping [presentation] |
Michael Weitz, Lauren Spiess |
source |
29 |
| PHUSE EU |
2009 |
On the use of spreadsheets for statistical analysis |
Martin Gregory |
source |
7 |
| PHUSE EU |
2008 |
Decimaker: A statistical software using R, Microsoft .NET, R (D)COM Server and graphical libraries |
Julien Vanwinsberghe, Francois Vandenhende |
source |
10 |
| PharmaSUG |
2008 |
Using SAS Enterprise Guide 4.0 to find a Correlation between Mortality and Co-morbidities for Prostate Disease Patients |
Jeong W. Park |
|
18 |
| PHUSE EU |
2007 |
A gentle introduction to Meta-analysis |
Angelo Tinazzi, Jayne Tierney |
source |
8 |
| SGF |
2007 |
Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software |
Bethany A. Kromrey, Jeffrey D. Bell-Ellison |
source |
10 |
| NESUG |
2006 |
Implementing SAS and Enterprise Guide to Enhance a Graduate Biostatistics Curriculum |
Albert Crawford, Howard Chapman |
|
9 |
| MWSUG |
2005 |
Using SAS For Spatial Analysis |
Christina Pertrou |
|
5 |
| NESUG |
2005 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller, Linda Tompkins |
|
7 |
| SUGI |
2004 |
Successfully Supporting SAS at the University: Lessons Learned |
David C. Steven |
source |
9 |
| MWSUG |
2003 |
Using the SAS Statistical Tool from Thesis to Career: Current Experiences and Future Outlook |
Jean Chen |
|
3 |
| SEUGI |
2003 |
Business Intelligence with SAS 9.1 [presentation] |
Mark Torr |
source |
31 |
| SEUGI |
2002 |
Building Strategic Advantage from a Single Customer View in Banking [presentation] |
Iain Jennings |
source |
15 |
| SESUG |
2000 |
Computing the Approximate and Exact Leaving-One-Out Method in Multiple Group Logistic Discrimination with the SAS System |
Mohamed H. Hussein |
source |
6 |
| WUSS |
1998 |
Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems |
George C. J. Fernandez |
source |
8 |
| SUGI |
1997 |
Issues Concerning Consultant-Client Interactions: Things I learned at the Information Center |
Ioannis C. Dimakos |
source |
3 |
| NESUG |
1995 |
Cooperative File Interfaces: How SAS & BMDP Can Work Together On VAX/VMS |
Thalene T. Mallus |
|
10 |
| NESUG |
1994 |
SAS Database Management System Used for Semiconductor Defect Learning |
Tracy L. Lord, Ken A. Wiggin |
|
3 |
| SESUG |
1994 |
Client! Server and SAS: End-user support in distributed environments |
Gregory S. Barnes Nelson |
|
9 |
| SEUGI |
1994 |
Practical Aspects of Modelling Techniques in Logistic Regression Procedures of the SAS System |
Josef Hogel |
source |
6 |
| SEUGI |
1994 |
Variants of the Attributable Risk in a Multi-factorial Situation Theory and Computational Realisation |
Olaf Gefeller |
source |
11 |
| SUGI |
1994 |
SAS Database Management Systems Used for Semiconductor Defect Learning |
Tracy L. Lord, Ken A. Wiggin |
source |
3 |
| SEUGI |
1993 |
Epidemiologic Concepts for Describing Disease Frequencies |
Anette Pfahlberg |
source |
8 |
| SEUGI |
1993 |
Using SAS/AF Software to Produce Support Materials for Statistics - a Case Study from Higher Education |
Noel Wilson |
source |
11 |
| MWSUG |
1992 |
SAS-L: An Electronic SAS Discussion Group |
Nancy Hill |
|
6 |
| SEUGI |
1992 |
Basic Problems of Analysing Disease Data in Epidemiologic Applications |
Anette Pfahlberg |
source |
7 |
| SEUGI |
1992 |
SAS Macros for Exact Methods in Nonparametrical Statistics |
Thomas Bregenzer |
source |
12 |
| SEUGI |
1992 |
The SAS System and Meta Knowledge |
Herve Augendre |
source |
7 |
| SUGI |
1992 |
The History of the SAS System at the Census Bureau |
Michael Fortier |
source |
3 |
| SCSUG |
1991 |
PROC AUTOREG to Forecast With a Time-Series/Cross-Section Autocorrelation Model |
Neil S. Fleming, Willy Waks |
|
16 |
| MWSUG |
1991 |
SAS-L: An Electronic SAS Discussion Group |
Nancy Hill |
|
6 |
| SUGI |
1991 |
A Comparison of RS/1 and SAS Software in Meeting Information Systems Development Needs .. . |
Loren L. Heun, Michael S. Lajiness |
source |
8 |
| SUGI |
1991 |
The Obsolescence of the SAS System Revisited |
Grant Blank |
source |
6 |
| SEUGI |
1989 |
Introducing A New Statistical Package (i,e. SAS Software) In A University Environment |
Per H. Jacobsen |
source |
10 |
| SUGI |
1989 |
Narrowing the Communication Gap: Expanding the Information Center - Client Connection |
Sandra Robinson, Dusty Teaf |
source |
5 |
| SUGI |
1988 |
An Expert System Interface |
Julie A. Elston, David J. Purdon |
source |
5 |
| SUGI |
1988 |
User Surveys: The Key to Customer Satisfaction and Happiness |
Sandra Robinson, Sallie R. Teaf |
source |
5 |
| SEUGI |
1987 |
Effective Use of SAS Software In a Large-Scale Sample Survey |
Risto Lehtonen |
source |
15 |
| SUGI |
1987 |
Improving Statistical Methodology with the SAS System in an Industrial Environment |
Robert V. Baxley Jr. |
source |
9 |
| SUGI |
1984 |
The SAS System and the Microcomputer |
P. L. Olympia |
source |
5 |
| SUGI |
1983 |
Software for Statistical Graphics-An Overview |
Patricia M. Caporal, C.J. Hahn |
source |
10 |
| SUGI |
1981 |
Using the SIR Data Management System as a Complement to SAS |
Jonathan Arlook |
source |
|
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
Teaching Statistical Computing: A Comparison of Videotape and Classroom Methodologies |
John C. Boling |
source |
4 |
| SUGI |
1980 |
Teaching the Three Major Statistical Packages Simultaneously - SAS, SPSS, BMDP |
Chapman P. Gleason |
source |
6 |
| SUGI |
1979 |
The South Carolina Papmobile Program: A SAS Application |
Bonnie Pleasants Dumas, M. Clinton Miller III, Janet M.' Riggs, Sue L. Stramm, Paul B. Underwood Jr. |
source |
6 |