| PharmaSUG |
2026 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| PHUSE APAC |
2026 |
Annualized Relapse Rate and Clinical Profiles in South Korean Multiple Sclerosis Patients: A Sample Cohort Study Using Korean National Health Insurance Data |
Seongjun Byun, Jisuk Jo |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Future-Focused Real-World Data Use Strategies: Resilience and Innovation at Chugai |
Wataru Ohtsuka, Nauta Yamanaka |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Harnessing Real-World Evidence and Data Visualisation to Improve Clinical Development and Accelerate Patient-Centric, Insight-Driven Decision-Making [presentation] |
Mujeebuddin Shaik |
source |
20 |
| PharmaSUG |
2024 |
Harmony in Motion: Nurturing Work-Life Balance for Sustainable Wellbeing |
Purvi Kalra, Varsha Mithun Patil |
source |
6 |
| PharmaSUG |
2024 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| SESUG |
2023 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| PharmaSUG |
2023 |
Comparison of My Experience Between an Independent Consultant and an Employee |
Kriss Harris |
source |
11 |
| PharmaSUG |
2023 |
Metaverse in the Healthcare - More Real than imagined! |
Aman Bahl |
source |
14 |
| PharmaSUG |
2023 |
Pros and Cons of Freelancing |
Pradeep Bangalore |
source |
10 |
| PharmaSUG |
2023 |
Rate Setting |
Joshua M. Horstman |
source |
5 |
| PharmaSUG |
2023 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PharmaSUG |
2023 |
Why Incorporate is Smart Business |
Margaret Hung |
source |
16 |
| WUSS |
2022 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PharmaSUG |
2022 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PHUSE US |
2021 |
Keynote Presentation: Our Access to Real-world Data is Not Sustainable Without Transparency and Inclusion [presentation] |
Craig Lipset |
source |
33 |
| PharmaSUG |
2021 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| SESUG |
2019 |
Analyzing Hospital Medicare Cost Report Data Using SAS - Updated with Output |
Kimberly Andrews |
source |
19 |
| MWSUG |
2019 |
Comparison of three methods for transforming predictor variables to improve model fit using SAS |
Douglas Thompson |
|
13 |
| MWSUG |
2019 |
The SAS EG Process Flow: A Customizable Data Mining Tool in the Search for Healthcare Fraud |
Andrea McLain |
|
6 |
| MWSUG |
2019 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
|
24 |
| PharmaSUG |
2019 |
Finding Work and Networking |
Joshua M. Horstman |
source |
8 |
| PharmaSUG |
2019 |
Real-world data as real-world evidence: Establishing the meaning of data as a prerequisite to determining secondary-use value |
Jennifer R. Popovic |
source |
7 |
| PharmaSUG |
2019 |
Using freelancers in the programming world - Challenges and opportunities |
Vijay Moolaveesala |
source |
3 |
| SESUG |
2018 |
Analyzing Hospital Medicare Cost Report Data Using SAS |
Kimberly Andrews |
source |
19 |
| MWSUG |
2018 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
|
24 |
| PharmaSUG |
2018 |
Infrastructure for Healthcare Analytics: A Foundational Approach to Development |
Jennifer R. Popovic |
source |
11 |
| SGF |
2018 |
Infrastructure for Healthcare Analytics: A Foundational Approach to Development |
Jennifer R. Popovic |
source |
11 |
| SGF |
2018 |
Working Together for Public Health: Using SAS , Esri, and Tableau to Enhance Data Presentation |
Jennifer L. Han, Miriam McGaugh |
source |
135 |
| SESUG |
2017 |
Building an Out-of-Pocket Cost (OOPC) Calculator for Medical Expenses using the Medical Expenditure Panel Survey (MEPS) |
Barry Merriman |
source |
5 |
| SGF |
2017 |
Construction of a Disease Network and a Prediction Model for Dementia |
Jinwoo Cho |
source |
14 |
| SGF |
2017 |
Profitability and Actuarial Overview of Health Insurance on SAS Visual Analytics |
Janice Leal |
source |
9 |
| SGF |
2017 |
Visualizing the Demographics of a Large Healthcare Provider's Membership using SAS |
Don McCarthy, Michael Santema |
source |
16 |
| WUSS |
2016 |
Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates |
Allen Hom |
source pptx |
20 |
| SGF |
2016 |
Medicare Payment Models: Past, Present, and Future |
Paul Gorrell |
source |
9 |
| SGF |
2016 |
Using Administrative Databases for Research: Propensity Score Methods to Adjust for Bias |
Ruth Croxford |
source |
10 |
| SGF |
2015 |
All Payer Claims Databases (APCDs) in Data Transparency and Quality Improvement |
Paul A. LaBrec |
source |
17 |
| SGF |
2015 |
Obtaining a Unique View of a Company: Reports in SAS Visual Analytics |
Jacqueline Fraga |
source |
15 |
| SESUG |
2014 |
A National Study of Health Services Utilization and Cost of Care with SAS: Analyses from the 2011 Medical Expenditure Panel Survey |
Seungyoung Hwang, Johns Hopkins |
source |
12 |
| SESUG |
2014 |
Impact of Affordable Care Act on Pharmaceutical and Biotech Industry |
Salil Parab |
source |
8 |
| SESUG |
2014 |
Time Series Mapping with SAS: Visualizing Geographic Change over Time in the Health Insurance Industry |
Barbara B. Okerson |
source |
8 |
| PHUSE EU |
2014 |
Population Segmentation in a Healthcare Environment |
MaryAnne DePesquo |
source presentation source |
5 |
| PHUSE EU |
2014 |
Statistics and Computing for Health A 10-year Bachelor of Science in South Brittany [presentation] |
Jean-Francoius Petiot, Cedric Frambour |
source |
17 |
| MWSUG |
2014 |
Universal SAS Macro to Parse Any Schema of Ryan White Services (RSR) XML Data |
David Izrael, Michael Costa, Fizza S. Gillani |
|
6 |
| PharmaSUG |
2014 |
Reporting Healthcare Data: Understanding Rates and Adjustments |
Gregory S. Barnes Nelson |
source |
22 |
| SGF |
2014 |
Analyzing U.S. Healthcare Cost and Use with SAS |
Paul Gorrell |
source |
17 |
| SGF |
2014 |
Customer Profiling for Marketing Strategies in a Healthcare Environment |
MaryAnne DePesquo |
source |
7 |
| SGF |
2014 |
Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure |
Rob Agnelli |
source |
17 |
| SGF |
2014 |
Reporting Healthcare Data: Understanding Rates and Adjustments |
Gregory S. Barnes Nelson |
source |
22 |
| SGF |
2014 |
Time Series Mapping with SAS: Visualizing Geographic Change over Time in the Health Insurance Industry |
Barbara B. Okerson |
source |
8 |
| SESUG |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
Satish Garla |
source |
15 |
| PHUSE EU |
2013 |
My Big Data Experience - Getting my Feet Wet in the PUddle and Still Treading Water 2 Years Later |
Robert Walls |
source presentation source |
10 |
| NESUG |
2013 |
Continuous Enrollment Requirements in Epidemiologic Studies |
Jennifer R. Popovic |
|
12 |
| SGF |
2013 |
Healthcare Claims Processing with Base SAS through Denormalization of ANSI 837 Format |
Roberto Valverde, Victor Shigaev |
source |
7 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| SGF |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
Albert Hopping, Rick Monaco, Sarah Rittman, Satish Garla |
source |
15 |
| NESUG |
2012 |
Generating Estimates for U.S. Healthcare Costs and Use |
Paul Gorrell |
|
18 |
| SGF |
2012 |
Cluster Mapping of Medicare Severity Diagnosis-Related Groups for ICD-10 Conversions |
Keith A. Jones |
source |
11 |
| SGF |
2012 |
SAS Solutions Make HEDIS Measures Programming Easier |
Qingfeng Liang |
source |
9 |
| SESUG |
2011 |
Coping with Job Loss Or: how I survived being laid off with one day's notice |
Dianne Louise Rhodes |
source |
7 |
| SESUG |
2011 |
Healthcare Provider Cost Reporting Information System |
Kimberly Andrews, Richard Andrews |
source |
19 |
| NESUG |
2011 |
Using Macros to Compute US Health Insurance Coverage Estimates for Insertion into a Web-based Table Generator |
Michele M. Burlew, Peter Graven, Karen Turner, Michel Boudreaux |
|
12 |
| SGF |
2011 |
After SAS Performs the Surgery, Excel Applies the Make-Up: Making Healthcare Data Look Pretty |
Andrea Scott |
source |
5 |
| SGF |
2011 |
Develop Effective Disease Management Program for Managed Care Organization Using SAS |
Qingfeng Liang |
source |
8 |
| SGF |
2011 |
From a Doctors Certificate to an International Health Service Database with SAS |
Ragna Preal, Tonio Di Zinno |
source |
4 |
| NESUG |
2010 |
After SAS Performs the Surgery, Excel Applies the Make-Up: Making Healthcare Data Look Pretty |
Andrea E. Scott |
|
5 |
| MWSUG |
2010 |
Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio |
Douglas Thompson |
|
25 |
| SGF |
2010 |
Investigating the Impact of Medicare Part D on Diabetes Medications Using SAS Enterprise Miner and Survival Analysis |
Xiao Wang |
source |
13 |
| NESUG |
2009 |
All Rolled Up Into One: Using SAS to Generate Patient-Level Analysis Files from Insurance Claims Data |
Kathy Hardis Fraeman |
|
12 |
| NESUG |
2009 |
Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population |
Pramit A. Nadpara |
|
7 |
| WUSS |
2009 |
An Example of Using Different Methods to Create Excel Outputs from SAS |
Joyce C. Niland, Julie A. Kilburn, Rizvan Mamet, Anna ter Veer, Ann Vanderplas, Rebecca Ottesen |
source |
9 |
| SESUG |
2008 |
Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population |
Pramit Nadpara |
source |
6 |
| NESUG |
2008 |
Orchestrating SAS Processes Using Business Process Management (BPM) Software |
Kimball Lewis |
|
11 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| SGF |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Anthony B. An, Pushpal K. Mukhopadhyay, Randall D. Tobias, Donna L. Watts |
source |
16 |
| MWSUG |
2003 |
ThunderCell Plot Interpretation of Correlation Matrices Using the SAS System |
George J. Hurley |
|
6 |
| SEUGI |
2001 |
Data Warehouse and Strategic Management - How to Sustain Competitive Advantage [presentation] |
Karin Nischk, Wolfgang Hofbauer |
source |
31 |
| SEUGI |
2001 |
Data Warehouse Implementation in Financial Statistics using SAS at State Statistical Office of Republic of Macedonia [presentation] |
Lidija Petkovska, Valentina Jankovik |
source |
49 |
| SEUGI |
2001 |
Fraud Detection in Healthcare - MBF's successful approach through SAS South Pacific Data Mining Discovery Centre [presentation] |
Jolie Reichel |
source |
14 |
| SEUGI |
2001 |
The Managing Information System (S.I.D.) of the Civil Servants' Health Insurance [presentation] |
Isabelle Richard, Joseph Garacoits |
source |
48 |
| SEUGI |
2000 |
A PC Interface for Mainframe SAS Datawarehouse [presentation] |
Heidi Fog |
source |
19 |
| SEUGI |
2000 |
Creatng synergy by integrating SAS and Lotus Notes [presentation] |
Erwin van Dongen, Han Tanis |
source |
27 |
| SEUGI |
2000 |
Finding the needle in a haystack: Fraud Detection on million records [presentation] |
Thierry Van de Merckt |
source |
28 |
| SEUGI |
2000 |
From Doctor Shopping to Data Warehouseing to Improve Health Outcomes [presentation] |
John Trabinger |
source |
47 |
| SEUGI |
2000 |
GP's assess the quality and performance of clinical activity through an interactive homepage [presentation] |
Birgitte Holm Andersen, Per Allan Jensen |
source |
59 |
| SEUGI |
2000 |
V8 Let's Rev It Up [presentation] |
Alan Davies |
source |
28 |
| SEUGI |
1999 |
A balanced scoredcard for an insurance company base on SAS Software [presentation] |
Ludwig Fruhauf |
source |
39 |
| SEUGI |
1999 |
MOSII - A new account system the for Dutch Social Security [presentation] |
Jan van der Leeuw |
source |
19 |
| SEUGI |
1999 |
The squaring of the circle: managed health care - integration of medicine and economy [presentation] |
Georg A. Mathis, Guido Schaub |
source |
26 |
| SEUGI |
1998 |
Panta Rei or DAWIS: Data warehous information system [presentation] |
Thomas Klaibeer |
source |
27 |
| SUGI |
1998 |
Does a Data Warehouse Deliver the Goods? |
Glen Payne |
source |
3 |
| WUSS |
1997 |
Managing Large Health Insurance Claims-Based Files: Tricks and Techniques |
Miriam G. Cisternas, Marcia Stoddard |
source |
4 |
| NESUG |
1997 |
Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance |
Matthew Reilly |
|
8 |
| MWSUG |
1997 |
Examining Cointegration Among Time-Series Variables Using Customized SAS Macro: Residual-Based Methods |
Jun Zuo |
|
8 |
| SEUGI |
1994 |
Migrating SAS Applications from PC-DAS to OS/2 and UNIX |
Bram van den Berg |
source |
7 |
| SCSUG |
1992 |
Users Get It Their Way |
Twila Faye Turpen |
|
7 |
| SEUGI |
1992 |
Variable Constants |
Bram van den Berg |
source |
8 |
| SUGI |
1992 |
Optimal Tax Strategies for Small Businesses and Professional Practices |
Janet R. Gibley, Raymond A. Gibley |
source |
3 |
| SEUGI |
1991 |
Modelling the Development of a Professional Group in a Macroeconomic Environment - Exampole of Doctors in Austria |
Ulrike Radosch |
source |
11 |
| NESUG |
1989 |
SAS in the Insurance Office: 6 Ways to Present Data |
David S. Rubin |
|
14 |
| SUGI |
1987 |
Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables |
Ralph F. Catalanello, Bruce W. Eagle |
source |
6 |
| SUGI |
1986 |
Mirror, Mirror on the Wall: A SAS Software Methodology for Plotting Corporate Image |
Luanne M. Conley |
source |
5 |