| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| WUSS |
2026 |
Macro-Powered Clinical Reporting in SAS: Automating Workflows with Automatic Macro Variables, ODS TRACE, and Reusable Table-Building Macros |
Chary Akmyradov |
source |
8 |
| WUSS |
2026 |
SAS Essentials III: Introduction to SAS Procedures [presentation] |
Susan J. Slaughter |
source |
52 |
| WUSS |
2026 |
SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB |
Matthew T. Slaughter,
Isaiah Lankham,
Kirk Paul Lafler |
source |
19 |
| PharmaSUG CN |
2026 |
A Standardized Programming Framework for Daily Dose Dataset Construction from Multi-Source Clinical Data |
Xianjun Li,
Chengye Lu |
source |
10 |
| PharmaSUG CN |
2026 |
Design and Analysis of a Multi-Frequency PRO Collection Strategy in a Clinical Trial |
Jiaqi Lu,
Zijing Guo |
source |
7 |
| PharmaSUG CN |
2026 |
Efficient Strategies for Handling Data Issues in Clinical Trial Submissions |
Kate Sun |
source |
7 |
| PharmaSUG |
2026 |
%Compare_counts: A Macro for Speeding Up the QC Process When Proc Compare Slows it Down |
Michael Garside |
source |
6 |
| PharmaSUG |
2026 |
Accelerating Code Translation and Generation with ChatGPT |
Brian K. Varney,
David J. Bosak |
source |
11 |
| PharmaSUG |
2026 |
An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective |
David W. Franklin |
source |
27 |
| PharmaSUG |
2026 |
ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation |
Chengxin Li |
source |
10 |
| PharmaSUG |
2026 |
Beyond WHODrug: Insight into Concomitant Medication Data Analysis |
Song Liu,
Martin Nielsen,
Rambabu Sura |
source |
9 |
| PharmaSUG |
2026 |
Biostatistical Foundations 201: Privacy Preserving Patient Linkage Across Real World Data Sources |
Anbu Damodaran |
source |
8 |
| PharmaSUG |
2026 |
Creating Reproducible Clinical Output with SASSY - Reporter Package |
Vicky Yuan |
source |
16 |
| PharmaSUG |
2026 |
Designing a modular and interactive visualization tool for DMC |
Chen Li,
Hong Wang,
Shu Chen,
Xuan Jiang |
source |
2 |
| PharmaSUG |
2026 |
Efficiency Techniques in SAS 9.4 |
Stephen B. Sloan |
source |
9 |
| PharmaSUG |
2026 |
Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. |
Ajay Gupta,
Misikir Tesfaye |
source |
25 |
| PharmaSUG |
2026 |
From Data Flood to Insight: Efficient SDTM Validation for High-Frequency Sources |
Seiko Yamazaki |
source |
6 |
| PharmaSUG |
2026 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency |
Troy Martin Hughes |
source |
12 |
| PharmaSUG |
2026 |
Human Beings Still Needed: Manual ADaM Checks that AI Can-t Do |
Sandra Minjoe,
Mario Widel |
source |
9 |
| PharmaSUG |
2026 |
Implementation of Quality Tolerance Limits in Statistical Programming |
Yang Gao |
source |
4 |
| PharmaSUG |
2026 |
Introduction to Plotting with the PROCS Package |
David J. Bosak |
source |
11 |
| PharmaSUG |
2026 |
My DIY Swiss Army Knife of SAS Procedures: A Macro Approach of Forging with My Favorite PROCs |
Jason J. Su |
source |
11 |
| PharmaSUG |
2026 |
Patient-Level, Dose-Stratified Swimmer Plots for Comparative Adverse Event Time-Course Assessment in Clinical Trials Using SAS PROC TEMPLATE |
Qingwei Hu,
Zhaoyu Xie,
Ji Qi |
source |
5 |
| PharmaSUG |
2026 |
Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing? |
Sunil Kumar Gupta,
Tomás Sabat Stofsel |
source |
6 |
| PharmaSUG |
2026 |
Regression Analysis Made Easy Using R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
source |
32 |
| PharmaSUG |
2026 |
SAS for Microsoft 365: Integrating SAS Programs, Data, and Reports Across the Microsoft 365 Ecosystem |
Shelby Taylor |
source |
23 |
| PharmaSUG |
2026 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2026 |
The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming |
Ramesh Potluri |
source |
9 |
| PharmaSUG |
2026 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| PHUSE US |
2026 |
Accelerating Study Insights: Agile Data Visualisation Using R-Shiny |
Lin Yuan,
Heather Howell |
source
presentation source |
6 |
| PHUSE US |
2026 |
Coding Clinical R with Confidence: Digital AI Assistant based on Self-Hosted LLMs |
Kostiantyn Drach |
source
presentation source |
8 |
| PHUSE US |
2026 |
Combining Trigonometry, Functions and the Polygon Plot to Create Complex Figures Not Available in SAS, Including Sankey, Sunburst and CIRCOS Charts |
Jeffrey P. Meyers |
source
presentation source |
16 |
| PHUSE US |
2026 |
Enhancing Clinical Trial Dataset Mapping with AI/ML Techniques: An Approach for CDISC Variable Prediction |
Parvee Kumar |
source
presentation source |
7 |
| PHUSE US |
2026 |
Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata |
Ji Qi,
Kaixiang Li |
source
presentation source |
5 |
| PHUSE US |
2026 |
Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI |
Parvee Kumar,
Shrutimita Pokhariyal |
source
presentation source |
11 |
| PHUSE US |
2026 |
Leveraging AI for Clinical Data Transparency: Automating Complex Disclosure Workflows [presentation] |
Woo Song |
source |
21 |
| PHUSE US |
2026 |
Methods of a Fully Automated CONSORT Diagram Macro %CONSORT |
Jeffrey P. Meyers |
source
presentation source |
18 |
| PHUSE US |
2026 |
Not Another Other: Bridging Data Collection with SDTM Mapping Without Open Text Fields |
Aminta Jimenez |
source
presentation source |
6 |
| PHUSE US |
2026 |
One eye open, one eye closed: How to approach masking in open-label oncology study |
Abhay Kumar |
source
presentation source |
8 |
| PHUSE US |
2026 |
Open Source Pavilion: Metadata-driven Automation Interactive [presentation] |
Orla Doyle,
Rammprasad Ganapathy |
source |
28 |
| PHUSE US |
2026 |
Ready for Next-Level SDTM and ADaM Compliance with End-to-End Processing? |
Sunil Kumar Gupta |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
AI for Adverse Event Signal Detection: Moving Beyond |
Monika Monika |
source
presentation source |
10 |
| 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 |
e2e Metadata Driven Model for Efficient Reporting Unveiling a Revolutionary Method for Defining Metadata and Reporting |
Priyanka Sarode |
source
presentation source |
2 |
| PHUSE APAC |
2026 |
Early Detection of Adverse Events Associated with Antihypertensive Medications: A Real-World Evidence Study Using FAERS Data |
Noel S. John,
Mahjoob O. Majeed |
source
presentation source |
3 |
| PHUSE APAC |
2026 |
Estimands Framework Through the Eye of a Statistical Programmer |
Shraddha Ganoo,
Kinjal Pandat |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
How Central Statistical Monitoring Drives a Risk-Based Approach to Clinical Trial Monitoring |
Charles Warne |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Innovating Clinical Signal Surveillance: Real-Time Dashboards for Protocol and PK Deviation Monitoring |
Rubina Pathan,
Jinu J. Nair |
source
poster source |
7 |
| PHUSE APAC |
2026 |
Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) |
Varun Sethuraman |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
SAS to Python: A Hands-On Cheat Sheet for Statistical Programmers |
Jagadish Katam |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
SAS to R: CHEAT SHEET - A Practical Guide for Clinical Programmers |
Lekitha JK,
Jalendhar Ettedi |
source
poster source |
24 |
| PHUSE EU |
2025 |
Beyond Tokenisation: Considerations for Linking Healthcare Data Sets for Scientific Research |
Jennifer Dusendang,
Yuval Koren |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Code Compare A Machine Learning Based Framework for Code Plagiarism Analysis and Detection |
Saroj Kumar Jena |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Everyday AI for Statistical Programmers: Global Implementation of a Clinical Analysis Assistant |
Mathieu Cayssol,
Christoph Centner |
source
presentation source |
17 |
| PHUSE EU |
2025 |
From Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs |
Kala Shivali,
Bhuvana Venkatappa |
source
presentation source |
16 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| PHUSE EU |
2025 |
Statistical Endpoints and Analysis in Diagnostic Imaging: The Matrix Has You and Your Data |
Srinivas Lanka,
James Sykes |
source
presentation source |
17 |
| PHUSE EU |
2025 |
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks |
Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede |
source
poster source |
13 |
| MWSUG |
2025 |
Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional |
Kirk Paul Lafler,
Charu Shankar |
source |
49 |
| MWSUG |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| MWSUG |
2025 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
source |
42 |
| MWSUG |
2025 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize |
Troy Martin Hughes |
source |
12 |
| MWSUG |
2025 |
SAS Macro Programming: The Basics and Beyond |
Kirk Paul Lafler |
source |
13 |
| SESUG |
2025 |
AP Statistics and SaS |
Immanuel Pulavarti |
|
8 |
| SESUG |
2025 |
Automate in a DASH with SAS: Time Saving Techniques for Building Quality Improvement Dashboards |
Shavonne J. Standifer |
|
10 |
| SESUG |
2025 |
Becoming Trilingual: A Story of a SAS Programmer Learning R and Python |
Aaron Brown |
|
10 |
| SESUG |
2025 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
|
42 |
| SESUG |
2025 |
Data Diagnostics with Base SAS |
Mark L. Jordan |
|
38 |
| SESUG |
2025 |
Determine the Dimensionality of Shared Trauma Posttraumatic Professional Growth Inventory-Modified Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
April Hutoo,
Phyllis Raynor |
|
10 |
| SESUG |
2025 |
Efficiency Techniques in SAS 9 |
Stephen B. Sloan |
|
9 |
| SESUG |
2025 |
Is Hockey still Canada's game? How USA teams have won every Stanley Cup since 1994 |
Joe DeMaio,
Michael Frankel,
Long Doan,
Jon-Paul Faix,
Aaron Montgomery |
|
16 |
| SESUG |
2025 |
Modeling and Forecasting Wildfire Trends in Colorado, Montana, Utah, and Wyoming: A Spatio-Temporal Approach with R |
Princess Tagoe |
|
14 |
| SESUG |
2025 |
Spring Cleaning for CSVs: Prepare for PROC IMPORT |
Brooke Ellen Delgoffe |
|
16 |
| SESUG |
2025 |
Statistical Analysis in SAS: The Not-So-Scary Overview |
Danny R. Modlin |
|
64 |
| WUSS |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| WUSS |
2025 |
Data Validation Using SAS Procedures [presentation] |
Charu Shankar |
source |
62 |
| WUSS |
2025 |
Evolving Human Emotions Under a Global Crisis: An Analysis of Popular Music Sentiment |
Hamed Hemmati,
Bennett Frohock |
source |
23 |
| WUSS |
2025 |
From RealityTV to Real Dependency: Digital Validation Dependence Disorder (DVDD) |
Denzel Smalls Smalls |
source |
15 |
| WUSS |
2025 |
Getting Started with SAS Visual Analytics |
Danny R. Modlin |
source |
4 |
| WUSS |
2025 |
Sandwich your SAS datasets to Excel Pivot Tables [presentation] |
Charu Shankar |
source |
28 |
| WUSS |
2025 |
SAS Essentials III: Introduction to SAS Procedures [presentation] |
Susan J. Slaughter |
source |
47 |
| PharmaSUG |
2025 |
A collaborative and agile approach for end to end Standards Governance and Release |
Kairav Tarmaster,
Pratiksha Wani |
source |
10 |
| PharmaSUG |
2025 |
AI Search LOG |
Zhuo Chen,
Martha Cao,
Ted Lystig,
Sateesh Arjula |
source |
8 |
| PharmaSUG |
2025 |
An Introduction to Obtaining Test Statistics and P-Values from SAS and R for Clinical Reporting |
Brian K. Varney |
source |
9 |
| PharmaSUG |
2025 |
Better, Faster, Stronger: A Case Study in Updating SAS Macro Code with Run-time Optimization in Mind |
Valerie Finnemeyer |
source |
10 |
| PharmaSUG |
2025 |
Change the way you think of Codelist - Optimize managing Organization Controlled Terminology with a meta-model and its features to manage Codelist in MDR |
Kairav Tarmaster |
source |
11 |
| PharmaSUG |
2025 |
Clopper Pearson CI? get your data ready for it! |
Ruth Marisol Rivera Barragan,
Isaac Vazquez |
source |
7 |
| PharmaSUG |
2025 |
Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional |
Charu Shankar,
Kirk Paul Lafler |
source |
49 |
| PharmaSUG |
2025 |
Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source |
Jayanth Iyengar |
source |
32 |
| PharmaSUG |
2025 |
Does SDTM Validation Really Require Double Programming? |
Sunil Kumar Gupta,
Tomás Sabat Stofsel |
source |
5 |
| PharmaSUG |
2025 |
Efficiency Techniques in SAS 9 |
Stephen B. Sloan |
source |
9 |
| PharmaSUG |
2025 |
Efficient Strategies for Handling Data Issues in Clinical Trial Submissions |
Kate Sun |
source |
7 |
| PharmaSUG |
2025 |
Ensuring Data Integrity: Techniques for Validating SDTM Datasets in Clinical Research |
Amy Welsh |
source |
8 |
| PharmaSUG |
2025 |
Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals |
Michael Carnival |
source |
14 |
| PharmaSUG |
2025 |
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis |
Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin |
source |
11 |
| PharmaSUG |
2025 |
Shining a Light on Adverse Event Monitoring with R Shiny |
Abigail Zysk,
Joe Lorenz |
source |
10 |
| PharmaSUG |
2025 |
Simulating Optimal Sample Sizes for Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| PharmaSUG |
2025 |
Swanky Sankey Enhancements: Transforming a Graph with Pretty Curves to a Research Tool uncovering Deeper Scientific Insights |
Siqi Wang,
Toshio Kimura |
source |
10 |
| PharmaSUG |
2025 |
Translation from SAS to R Using ChatGPT |
David J. Bosak,
Brian K. Varney |
source |
10 |
| PharmaSUG |
2025 |
Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. |
Veronica Gonzalez |
source |
15 |
| PHUSE US |
2025 |
Challenges of Genomic Data in Clinical Trials |
Hong Zheng,
Lingsong Yun |
source
presentation source |
8 |
| PHUSE US |
2025 |
Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy |
Monika Ludwinska |
source
presentation source |
11 |
| PHUSE US |
2025 |
Next-Generation Deliverable Tracker |
Michael Byrne,
Stuart Malcolm |
source
presentation source |
5 |
| PHUSE US |
2025 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck,
Sridhar Vijendra |
source
presentation source |
15 |
| MWSUG |
2024 |
An Introduction to Obtaining Test Statistics and P-Values from SAS and R |
Brian K. Varney |
source |
9 |
| MWSUG |
2024 |
Bessler's Recommendations for Using Color in Web Pages, Graphs, Tables, Maps, Text, and Print [presentation] |
LeRoy Bessler |
source |
76 |
| MWSUG |
2024 |
Calculating Cardinality Ratio in Two Steps |
Ronald J. Fehd |
source |
22 |
| MWSUG |
2024 |
Create Report with SAS Visual Analytics to Finish Your SAS Story [presentation] |
Shinya Kodama |
source |
25 |
| MWSUG |
2024 |
Dashboards Made Easy Using SAS Software |
Kirk Paul Lafler |
source |
42 |
| MWSUG |
2024 |
List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables |
Ronald J. Fehd |
source |
13 |
| MWSUG |
2024 |
Looking for the Missing(ness) Piece |
Louise S. Hadden |
source |
14 |
| MWSUG |
2024 |
Teaching Your Computer to See: Using Computer Vision to Detect Defects [presentation] |
Scott Koval |
source |
23 |
| MWSUG |
2024 |
The Everytown Research database: Using SAS analytic procedures to analyze mass shootings |
Jayanth Iyengar |
source |
31 |
| MWSUG |
2024 |
Using SAS/STAT: A Gentle Introduction to Some Frequently Used Tools [presentation] |
Melodie Rush |
source |
123 |
| MWSUG |
2024 |
What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression |
Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol |
source |
16 |
| PHUSE EU |
2024 |
BY-lieve in better BY group tables |
Chris Spence |
source
presentation source |
10 |
| PHUSE EU |
2024 |
Finding Out Subject Compliance Data in Clinical Trials |
Bhakti Gadekar,
Pravat Pradhan |
source
presentation source |
10 |
| PHUSE EU |
2024 |
Genomic Biomarkers: Development of a Pipeline for Distilling Patient Mutation Status |
Alexander Tchourbanov,
Karl Brand |
source
presentation source |
9 |
| PHUSE EU |
2024 |
It's Not You; It's My Algorithm: How Prompt Engineering Can Save Your Relationship with AI |
Josua Böser,
Vanessa Kapsona |
source
presentation source |
12 |
| PHUSE EU |
2024 |
Leveraging Open Data and Machine Learning Enhanced Data Extraction for Clinical Trials Insight |
Hugo Bottois |
source
presentation source |
9 |
| PHUSE EU |
2024 |
Topic and Sentiment Analysis of Anti-Vaccine Activism Using Natural Language Processing and Large Language Models |
Tamas Bosznay |
source
presentation source |
12 |
| 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 |
An Introduction to Obtaining Test Statistics and P-Values from SAS and R |
Brian K. Varney |
source |
6 |
| SESUG |
2024 |
Building Amazing Dashboards Using SAS Software |
Kirk Paul Lafler,
Joshua J. Cook |
source |
42 |
| SESUG |
2024 |
Comparative Analysis of Sentiment Prediction Methods Using Aspects in Consumer Reviews |
Harish Palakurthi |
source |
8 |
| SESUG |
2024 |
Comparative Tools in SAS: Analyzing Self-Reported versus Imputed Values |
Neesha Nathwani,
Sarah Woodruff |
source |
30 |
| SESUG |
2024 |
Data Diagnostics with Base SAS |
Mark L. Jordan |
source |
37 |
| SESUG |
2024 |
Determine the Dimensionality of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (PCOSQ-50) Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
Pamela J. Wright,
Robin M. Dawson |
source |
19 |
| SESUG |
2024 |
Leveraging SAS/IML for Audio Source Separation |
Katharine Mary Scott |
source |
13 |
| SESUG |
2024 |
SAS and Analytical Research: A Primer for Qualitative Analysis |
Kelly D. Smith |
source |
8 |
| SESUG |
2024 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| SESUG |
2024 |
Using Data Visualization to Explore the Association Between Education and Mortality: Insights from the 2012-2018 National Health Interview Survey Linked Mortality Files |
Cindy Zhang,
Jessie Parker,
Yeats Ye,
Cordell Golden |
source |
25 |
| SESUG |
2024 |
Utilizing SAS to Remedy Issues with Long Character Variables |
Piotr Krzystek |
source |
5 |
| SESUG |
2024 |
Who's Bringing That Big Data Energy? A 47-Year Longitudinal Analysis of 30,000 Presentations in the SAS User Community To Elucidate Top Contributors and Rising Stars |
Troy Martin Hughes |
source |
36 |
| WUSS |
2024 |
CTRL + S(HARE): A Programmer's Advice for Branding on Social Media |
Inka Leprince |
source |
5 |
| WUSS |
2024 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency |
Troy Martin Hughes |
source |
12 |
| WUSS |
2024 |
Handling Missing Values in SAS 9 and SAS Viya [presentation] |
Melodie Rush |
source |
102 |
| WUSS |
2024 |
How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values |
Lisa A. Mendez |
source |
9 |
| WUSS |
2024 |
It's All About the Base-Procedures |
Jane Eslinger |
source |
20 |
| WUSS |
2024 |
Regression Analysis Made Easy Using SAS Studio |
Zheyuan (Walter) Yu |
source |
42 |
| WUSS |
2024 |
Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| WUSS |
2024 |
Statistical Programmers Role for SPM Analysis |
Marckenley Mercie,
Ce (Colin) Zhou |
source |
11 |
| WUSS |
2024 |
The Everytown Research database: Using SAS analytic procedures to analyze mass shootings |
Jayanth Iyengar |
source |
31 |
| WUSS |
2024 |
Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments |
Paul M. Dorfman,
Donald J. Henderson |
source |
17 |
| PharmaSUG CN |
2024 |
An Easy Way of Obtaining One-sided p-value for Asymptotic Generalized Cochran-Mantel-Haenszel (CMH) Test Between Proportions |
Shaoming Liu,
Fang Wang |
source |
6 |
| PharmaSUG CN |
2024 |
Application of I&I Late Phase in Programming |
Renxiang Wang |
source |
15 |
| PharmaSUG CN |
2024 |
Enhancing SAS Programming Efficiency with Large Language Models (LLMs) |
Guangyong Li,
Junkai Zhao |
source |
15 |
| PharmaSUG |
2024 |
A New Way to Automate Data Validation with Pinnacle 21 Enterprise CLI in LSAF |
Crystal Cheng |
source |
7 |
| PharmaSUG |
2024 |
Automating third party data transfer through digitized Electronic DTA Management |
Vandita Tripathi,
Manas Saha |
source |
6 |
| PharmaSUG |
2024 |
AutoVis Oncology Presenter: Automated Python-Driven Statistical Analysis and Visualizations for Powerful Presentations |
Indraneel Narisetty |
source |
12 |
| PharmaSUG |
2024 |
Bayesian Models with the Power Prior Using PROC BGLIMM |
Yi Gong,
Fang K. Chen |
source |
15 |
| PharmaSUG |
2024 |
Combining Functions and the POLYGON Plot to Create Unavailable Graphs Including Sankey and Sunburst Charts |
Jeffrey P. Meyers |
source |
20 |
| PharmaSUG |
2024 |
Comparing SAS and R Approaches in Creating Multicell Dot Plots in Statistical Programming |
Yi Guo |
source |
14 |
| PharmaSUG |
2024 |
Creating Dated Archives Automatically with SAS |
Derek P. Morgan |
source |
19 |
| PharmaSUG |
2024 |
Demystifying Incidence Rates: A Step-by-Step Guide to Adverse Event Analysis for Novice Programmers |
Yuting Peng,
Ruohan Wang |
source |
10 |
| PharmaSUG |
2024 |
Leveraging ChatGPT in Statistical Programming in the Pharmaceutical Industry |
Ian Sturdy |
source |
24 |
| PharmaSUG |
2024 |
Replicating SAS Procedures in R with the PROCS Package |
David J. Bosak |
source |
10 |
| PharmaSUG |
2024 |
Standardizing Validation Data Sets (VALDS) as matrices indexed by Page, Section, Row, and Columns (PSRC) to improve Validation and output creation and revisions. |
Kevin R. Viel |
source |
25 |
| PharmaSUG |
2024 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2024 |
The Missing(ness) Piece: Building Comprehensive, Data Driven Missingness Reports and Codebooks Dynamically |
Louise S. Hadden |
source |
15 |
| PharmaSUG |
2024 |
Transitioning from SAS to R |
Ashley Tarasiewicz,
Chelsea Dickens |
source |
83 |
| PharmaSUG |
2024 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| PharmaSUG |
2024 |
Visual discovery in Risk-Based Monitoring using topological models |
Kostiantyn Drach,
Iryna Kotenko |
source |
31 |
| PHUSE US |
2024 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Patty Hegarty |
source
presentation source |
7 |
| PHUSE US |
2024 |
A standard data set format in regulatory submissions for clinical trials: automatic creation of headers, headers of headers, and footnotes |
Kevin R. Viel |
source
presentation source |
12 |
| PHUSE US |
2024 |
Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review |
Robert Musterer |
source
presentation source |
10 |
| PHUSE US |
2024 |
My Data Are Too Good to Be True! Should I Worry About Fraud or Sloppiness? |
Johann Proeve |
source
presentation source |
9 |
| PHUSE EU |
2023 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Boris Grimm,
Diana Ye |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Exploring Antidepressant Side Effects in the UK Through Topic Modelling and Social Media Analysis |
Khalid Ismail,
Amna Dridi |
source
presentation source |
13 |
| PHUSE EU |
2023 |
Navigating R Package Management in a Validated Environment: Maintaining and Implementing the Latest R Packages with Different Versions of R [presentation] |
Ali Dootson,
Rakesh Gotiwale |
source |
11 |
| PHUSE EU |
2023 |
Structural Equation Modelling of Quality of Life in Adults with Down's Syndrome in Nigeria [presentation] |
Ogochukwu Ijezie,
Philip Davies |
source |
15 |
| PHUSE EU |
2023 |
Transparent is the New Black - Improving Data Findability Through Better Clinical Metadata |
Lukas Kniola |
source
presentation source |
16 |
| WUSS |
2023 |
An Overview of the SASSY System |
David J. Bosak |
source |
16 |
| WUSS |
2023 |
Automating Reports Using Macros and Macro Variables |
Ekaterina Roudneva |
source |
18 |
| WUSS |
2023 |
Creating Dated Archive Folders Automatically with SAS |
Derek P. Morgan |
source |
19 |
| WUSS |
2023 |
Generation of AE (Adverse Events) summary tables by worst CTC Grade utilizing SAS |
Ballari Sen |
source |
14 |
| WUSS |
2023 |
Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic |
Richann J. Watson,
Lynn Mullins |
source |
14 |
| WUSS |
2023 |
List Processing Macro Call-Macro |
Ronald J. Fehd |
source |
18 |
| WUSS |
2023 |
List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables |
Ronald J. Fehd |
source |
13 |
| WUSS |
2023 |
Open-Source Essentials HOW - R and RStudio |
Wendy Christensen |
source |
17 |
| WUSS |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang |
source |
43 |
| WUSS |
2023 |
Survey Data Analysis in SAS |
Denis Nyongesa,
Marianne Jurasic,
Gregg Gilbert,
Tamara Lischka |
source |
11 |
| WUSS |
2023 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| WUSS |
2023 |
The Great Escape(char) |
Louise S. Hadden |
source |
21 |
| WUSS |
2023 |
Who's Bringing That Big Data Energy? A 47-Year Longitudinal Analysis of 30,000 Presentations in the SAS User Community To Elucidate Top Contributors and Rising Stars |
Troy Martin Hughes |
source |
36 |
| SESUG |
2023 |
Binning Predictors for Logistic Regression |
Bruce S. Lund |
source |
25 |
| SESUG |
2023 |
Data Management and Analysis of Adverse Events Data using SAS ARRAY, IF-THEN, DO LOOP, and MACRO Statements |
Amita Patil |
source |
6 |
| SESUG |
2023 |
Getting to Know the SAS Data Access Engine: SASEFRED |
Paul Newsom |
source |
14 |
| SESUG |
2023 |
List Processing Macro Call-Macro |
Ronald J. Fehd |
source |
18 |
| SESUG |
2023 |
List Processing using SQL Select Into to Replace Call Symputx Creating Indexed Arrays of Macro Variables |
Ronald J. Fehd |
source |
13 |
| SESUG |
2023 |
Looking for the Missing(ness) Piece |
Louise S. Hadden |
source |
4 |
| SESUG |
2023 |
Looking for the Missing(ness) Piece |
Louise S. Hadden |
source |
4 |
| SESUG |
2023 |
MISSING Mysteries for SAS Beginners |
Jinson J. Erinjeri |
source |
9 |
| SESUG |
2023 |
Predicting Employees' Preference for Remote or On-site Jobs |
Livingstone Gadzanku |
source |
10 |
| SESUG |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang |
source |
43 |
| SESUG |
2023 |
The Everytown Research database: Using SAS analytic procedures to analyze mass shootings |
Jayanth Iyengar |
source |
31 |
| SESUG |
2023 |
Translating Common Data Visualizations from PROC SGPLOT to ggplot2 |
Austin R. Brown |
source |
11 |
| SESUG |
2023 |
Two illustrations of the Quantity Theory of Money: A Restatement |
Lawrence Ogbeifun |
source |
81 |
| SESUG |
2023 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
25 |
| 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 |
| SESUG |
2023 |
Visualizing Chronic Lung Disease Incidence in SAS; An Educational Journey to Data Visualization |
Natalie A. Jordan,
A. Nicole Ferguson,
Jessica G. Woo,
Kevin Gittner,
Reese H. Clark |
source |
10 |
| PharmaSUG |
2023 |
A Pain in My ISR - A Primer on Injection Site Reactions |
Kjersten Offenbecker,
Fox Mulder |
source |
11 |
| PharmaSUG |
2023 |
An Introduction to Obtaining Test Statistics and P-Values from SAS and R for Clinical Reporting |
Brian K. Varney |
source |
9 |
| PharmaSUG |
2023 |
CMS VRDC - A simplified overview. What to expect in terms of data, system, code. |
Zeke Torres |
source |
22 |
| PharmaSUG |
2023 |
Divergent Nested Bar Plot and SAS Implementation |
Brian Lin,
Weiming Du,
Toshio Kimura |
source |
6 |
| PharmaSUG |
2023 |
From Sea to shining sea - End to End discussion on PR and LB data |
Abraham Yeh |
source |
7 |
| PharmaSUG |
2023 |
Implementing Agile Methodologies: Using Trello to Generate and Optimize Kanban Boards for Recurring SAS Programming Tasks |
Gina Boccuzzi,
Patrick Dowe |
source |
7 |
| PharmaSUG |
2023 |
Life Table Analysis for Time to First Event Onset |
Abhinav Srivastva |
source |
11 |
| PharmaSUG |
2023 |
Methods of a Fully Automated CONSORT Diagram Macro %CONSORT |
Jeffrey P. Meyers |
source |
21 |
| PharmaSUG |
2023 |
Smart Use of SAS Output System and SAS Macro for Statistic Test Selection |
Mengxi Wang |
source |
10 |
| PharmaSUG |
2023 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2023 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PharmaSUG |
2023 |
Visualization for Success: Driving KPIs and Organizational Process Improvements via Portfolio-level Analytics |
Philip Johnston,
Julie Ann Hood |
source |
5 |
| PharmaSUG |
2023 |
Was the load okay? |
Lisa Eckler,
Lisa Eckler |
source |
22 |
| PHUSE US |
2023 |
A Standard Data Set Format for the Validation of Tables and Listings in Regulatory Submissions for Clinical Trials |
Kevin R. Viel |
source
poster source |
10 |
| PHUSE US |
2023 |
An Introduction to Obtaining Test Statistics and P-Values from SAS and R for Clinical Reporting |
Brian K. Varney |
source
presentation source |
6 |
| PHUSE US |
2023 |
Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] |
Parvee Kumar,
Diwakar Angra |
source
video |
17 |
| PHUSE US |
2023 |
Conditional Branching in QRS Data and How to Represent It [presentation] |
Dana Booth,
Steve Kopko |
source
video |
39 |
| PHUSE US |
2023 |
Handling Non-printable Special Characters and Double Byte Characters in Clinical Data |
Aravindan Govindaraj Karunakaran |
source
presentation source |
18 |
| PHUSE US |
2023 |
The Thick and Thin of Adopting Risk-Based Approach to Data Management [presentation] |
Michał Ruciński |
source
video |
17 |
| PHUSE EU |
2022 |
FACT - Fast Access to Clinical Trial Insights [presentation] |
Julia Gnatek,
Steffen Vangsgaard |
source
video |
27 |
| PHUSE EU |
2022 |
GSK Diversity Paper: The Challenges We Faced with Real-world Data |
Harrison James,
Chris Leach |
source
presentation source |
43 |
| PHUSE EU |
2022 |
My Journey from SAS to R [presentation] |
Lucy Watson |
source |
15 |
| PHUSE EU |
2022 |
Quality Tolerance Limits: Statistical and Programming Consideration |
Dhruba Sikdar,
Nathalie van Borrendam |
source
video
presentation source |
7 |
| PHUSE EU |
2022 |
R Shiny Apps: To QC or Not to QC? [presentation] |
Katie Withycombe |
source
video |
19 |
| PHUSE EU |
2022 |
RBM Beyond the Mandate: The Importance and Impacts of Risk-based Monitoring Today [presentation] |
Gina Wood,
Alison Banda |
source |
14 |
| PHUSE EU |
2022 |
Set Up and Drive Your Routine Business Task with Power Automate [presentation] |
Satish Patil,
Bhavin Solanki |
source
video |
33 |
| SESUG |
2022 |
Essential Programming Techniques Every SAS User Should Learn |
Kirk Paul Lafler |
source |
27 |
| SESUG |
2022 |
Introduction To SCL Functions For Macro Programmers |
Ronald J. Fehd |
source |
20 |
| SESUG |
2022 |
Q&A with the Macro Maven: Do we need Macros? An Essay on the Theory of Application Development |
Ronald J. Fehd |
source |
11 |
| SESUG |
2022 |
SAS Heatmaps in the Analysis of Real Estate Markets |
Harshita Budumuru |
|
16 |
| SESUG |
2022 |
To Lend, or Not to Lend, That Is the Question! Evaluating Loan Application with Machine Learning |
Rafae Abdullah,
Sucharitha Vallabhaneni,
Jaideep Muley |
source |
17 |
| SESUG |
2022 |
Using Parallel Analysis to Determine the Dimensionality of Students' Perspectives of Online Caring |
Abbas S. Tavakoli,
Kathrine Jones,
Phyllis Raynor |
source |
12 |
| WUSS |
2022 |
A Configuration File Companion: testing and using environment variables and options; templates for startup-only options initstmt and termstmt |
Ronald J. Fehd |
source |
17 |
| WUSS |
2022 |
Automating Reports Using Macros and Macro Variables |
Ekaterina Roudneva |
source |
18 |
| WUSS |
2022 |
Calculating Cardinality Ratio in Two Steps |
Ronald J. Fehd |
source |
23 |
| WUSS |
2022 |
Data mining for the online retail industry: Customer segmentation and assessment of customers using RFM and k-means |
Gowtham Varma Bhupathiraju |
source |
9 |
| WUSS |
2022 |
Did the load work? |
Lisa Eckler |
source |
18 |
| WUSS |
2022 |
Essential Programming Techniques Every SAS User Should Learn |
Kirk Paul Lafler |
source |
27 |
| WUSS |
2022 |
Introduction to SCL for Macro Programmers |
Ronald J. Fehd |
source |
20 |
| WUSS |
2022 |
Let SAS do the work for you: Tips and tricks for turning SAS output into client-ready tables |
Becky Lien,
Sara Richter,
Lily Dunk |
source |
15 |
| WUSS |
2022 |
Quick Jumpstart into Pharmaceutical SAS Programming |
Jim Box,
Matthew J. Becker |
source |
7 |
| WUSS |
2022 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| WUSS |
2022 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| WUSS |
2022 |
Using SAS Gplot Overlay to Effectively Visualize and Compare COVID-19-Sepsis versus Sepsis Post-hospital Discharge Locations Over Time |
Xiao Qing Wanng,
Sarah Seelye,
Brenda McGrath,
Hallie Prescott,
Theodore Iwashyna,
Elizabeth Viglianti |
source |
7 |
| PharmaSUG |
2022 |
A Programmer's Perspective on Patient reported Outcomes in Oncology Trials |
Divya Vemulapalli |
source |
7 |
| PharmaSUG |
2022 |
Begin with the End in Mind: eCOA data from collection to analysis |
Franklin E. Menius,
Monali Khanna,
Vincent Allibone |
source |
7 |
| PharmaSUG |
2022 |
How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values |
Lisa A. Mendez |
source |
10 |
| PharmaSUG |
2022 |
ODS Document & Item Stores: A New Beginning |
Bill Coar |
source |
72 |
| PharmaSUG |
2022 |
Self Modifying Macro to Automatically Repeat a SAS Macro Function |
Chary Akmyradov |
source |
6 |
| PharmaSUG |
2022 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PharmaSUG |
2022 |
Win Ratio Simulation For Power Calculation Made Easy |
Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su |
source |
13 |
| PHUSE EU |
2021 |
A Beginner's Guide to Data Analysis |
Shuva Dey |
source
video |
15 |
| PHUSE EU |
2021 |
Automated Testing of the Programming Workflow Using Cypress [presentation] |
Darwin Hadley |
source
video |
15 |
| PHUSE EU |
2021 |
EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] |
Eftychia-Eirini Psarelli,
Jesper Kjær |
source |
21 |
| PHUSE EU |
2021 |
Incorporating Novel Real-world Evidence Across the Drug Development Continuum: Leveraging the Value of Digital Social Media [presentation] |
Nardin Farid,
Stephen Doogan |
source
video |
24 |
| PHUSE EU |
2021 |
Replicating R Figures into SAS |
Antonio Rodríguez Contestí |
source
video
presentation source |
26 |
| PHUSE EU |
2021 |
Transition Probability for Analysis of COVID Test Positivity Ra [presentation] |
Hrishikesh K S,
Limna Salim |
source
video |
10 |
| SESUG |
2021 |
A Configuration File Companion: testing and using environment variables and options; templates for startup-only options initstmt and termstmt |
Ronald J. Fehd |
source |
17 |
| SESUG |
2021 |
A Macro to Utilize a Nonparametric Multiple Stream Process Quality Control Chart in SAS |
Austin R. Brown |
source |
10 |
| SESUG |
2021 |
A SAS Macro Program to Calculate the Fragility Index |
Tamar C. Roomian |
source |
9 |
| SESUG |
2021 |
Coarsening Continuous Variables: An Automated Method to Create Categorical Version of Continuous Variables While Mitigating Loss of Precision |
Zach Acuff |
source |
10 |
| SESUG |
2021 |
Looking for the Missing(ness) Piece |
Louise S. Hadden |
source |
4 |
| SESUG |
2021 |
Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis |
Kelly D. Smith |
source |
12 |
| SESUG |
2021 |
PROC FORMAT for Scrappy SAS Users and Posh Programmers |
Rachel Straney |
source |
12 |
| SESUG |
2021 |
Ten Rules for Better Charts, Figures and Visuals |
Kirk Paul Lafler |
source |
19 |
| SESUG |
2021 |
Using JMP and R Integration to Analyze Virtual Chat Messages during a Coronavirus Pandemic |
Melvin T. Alexander |
source |
37 |
| SESUG |
2021 |
Using the SAS HPBIN Procedure to Create Format Value Ranges for Numeric Variables |
Michael A. Raithel |
source |
9 |
| PHUSE US |
2021 |
Graphs Made Easy Using SAS Graph Template Language |
Manohar Modem |
source
video
presentation source |
27 |
| PHUSE US |
2021 |
SDTM Mapping and Conversion Using NLP [presentation] |
Eric Weising |
source
video |
16 |
| PHUSE US |
2021 |
Standing Room Only Presentation: ML08: You Are the Company You Keep: Converting Words to Numbers Using Text Embeddings [presentation] |
Michael Stackhouse |
source |
23 |
| PharmaSUG |
2021 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| PharmaSUG |
2021 |
Data Visualization in Real World Data (RWD) and Health Economics Outcomes Research (HEOR) using (Statistical Analysis Software) SAS |
Swapna Ambati |
source |
45 |
| PharmaSUG |
2021 |
Data Visualization Using GANNO, GMAP and GREMOVE to Map Data onto the Human Body |
Rui Huang,
Toshio Kimura,
Jennifer McGinniss |
source |
12 |
| PharmaSUG |
2021 |
Essential Programming Techniques Every SAS User Should Learn |
Kirk Paul Lafler |
source |
26 |
| PharmaSUG |
2021 |
Forward Planning: How to get the most of your eCOA data |
Monali Khanna,
Franklin E. Menius |
source |
7 |
| PharmaSUG |
2021 |
Graphical Representation of Clinical Data using Heat Map Graph |
Pavani Potuganti,
Sree Nalluri |
source |
10 |
| PharmaSUG |
2021 |
Graphs Made Easy Using SAS Graph Template Language |
Manohar Modem,
Bhavana Bommisetty |
source |
31 |
| PharmaSUG |
2021 |
Looking for the Missing(ness) Piece |
Louise S. Hadden |
source |
4 |
| PharmaSUG |
2021 |
Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis |
Chengxin Li,
Michael Pannucci,
Toshio Kimura |
source |
9 |
| PharmaSUG |
2021 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
19 |
| PharmaSUG |
2021 |
Overlay Graphs: A Powerful Tool to Visualize and Simplify Complex Data |
Manasa Gangula |
source |
7 |
| PharmaSUG |
2021 |
Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers |
Yun (Julie) Zhuo |
source |
10 |
| PharmaSUG |
2021 |
The SASSY System: Making R Easier for SAS Programmers |
David J. Bosak |
source |
14 |
| PharmaSUG |
2021 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
source |
24 |
| PharmaSUG |
2021 |
Using PROC FCMP to Create Custom Functions in SAS |
Keith Shusterman,
Mario Widel |
source |
12 |
| SGF |
2021 |
Data-driven Programming Techniques Using SAS |
Kirk Paul Lafler |
source
presentation |
23 |
| SGF |
2021 |
Methods of a Fully Automated CONSORT Diagram Macro %CONSORT |
Jeffrey P. Meyers |
source
sas
txt
presentation |
20 |
| SGF |
2021 |
Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data |
Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang |
source
presentation |
7 |
| SGF |
2021 |
Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments |
Paul M. Dorfman,
Donald J. Henderson |
source
presentation |
17 |
| PHUSE EU |
2020 |
Analysis Used in RBM [presentation] |
Aminul Islam,
Shafi Chowdhury |
source
video |
8 |
| PHUSE EU |
2020 |
Enabling Novel Digital Endpoints in Clinical Trials for Regulatory Purposes: Bringing Efficiency to the Industry by Creating a Service-based Ecosystem [presentation] |
Bert Hartog,
Kai Langel |
source
video |
14 |
| PHUSE EU |
2020 |
Enhanced COVID-19 (SARS-COV-2) Detection - An Artificial Intelligence Approach [presentation] |
Muhammad Hamiz Ahmed,
Soundarya Palanisamy |
source
video |
37 |
| PHUSE EU |
2020 |
It's All About the Base-Procedures |
Jane Eslinger |
source
video
presentation source |
18 |
| PHUSE EU |
2020 |
Patient Insights and Real-world Data from Social Media [presentation] |
Luisa Regenold,
Soundarya Palanisamy |
source
video |
28 |
| PHUSE EU |
2020 |
Population Pharmacokinetic Model in SAS - Application with proc MCMC [presentation] |
Bruno Boulanger,
Maud Hennion |
source
video |
25 |
| PHUSE EU |
2020 |
SAS v. R vs. Python - A Comparison of Data Exploration Techniques |
Nathanael Cockburn |
source
video
presentation source |
12 |
| PHUSE EU |
2020 |
SDTM Mapping and Conversion Using ML/NLP [presentation] |
Eric Weising,
Farha Feroze |
source
video |
15 |
| PHUSE EU |
2020 |
Success: A Point of View [presentation] |
Sarah Berenbrinck |
source
video |
27 |
| 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 |
| SESUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SESUG |
2020 |
Equity Data: Using SAS to Establish the Baseline |
Kelly D. Smith |
source |
10 |
| SESUG |
2020 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SESUG |
2020 |
Outlier Detection and Treatment |
Ross Bettinger |
source |
29 |
| SESUG |
2020 |
Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students |
Abbas S. Tavakoli |
source |
13 |
| SGF |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2020 |
Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt |
Alex Chaplin |
source |
16 |
| SGF |
2020 |
Adopting SAS Viya into Your Business: Data Success Tales from a Central Bank's Perspective |
Ben Zenick |
source |
20 |
| SGF |
2020 |
An Efficient Way to Create Descriptive Tables with Pairwise Comparison |
Ang Gao,
Chul W. Ahn |
source |
10 |
| SGF |
2020 |
Architecting SAS Analytics Edge-to-Cloud Solutions on Hewlett Packard Enterprise Infrastructure |
Mark Barnum,
Kannan Mani |
source |
24 |
| SGF |
2020 |
Best Practices for Converting SAS Code to Leverage CAS |
Steven Sober,
Brian Kinnebrew |
source |
11 |
| SGF |
2020 |
Dealing with Missing Data in Epidemiological and Clinical Research |
Andrew T. Kuligowski,
Lida Gharibvand |
source |
6 |
| SGF |
2020 |
Delay Analysis in the SAS Middle Tier |
Bob Celestino |
source |
19 |
| SGF |
2020 |
Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS |
Tunde Odusami |
source |
25 |
| SGF |
2020 |
Exploring DataOps in the Brave New World of Agile and Cloud Delivery |
Shane Gibson |
source |
10 |
| SGF |
2020 |
Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models |
Thu Dinh,
Goutam Chakraborty |
source |
23 |
| SGF |
2020 |
Five Simple Ways to Know If Variables in a Table Are All Missing |
Xia Ke Shan,
Kurt Bremser |
source |
6 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
Hate Speech Classification of social media posts using Text Analysis and Machine Learning |
Venkateshwarlu Konduri |
source |
7 |
| SGF |
2020 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
Mark Keintz |
source |
14 |
| SGF |
2020 |
How to Build a Text Analytics Model in SAS Viya with Python |
Nate Gilmore |
source |
13 |
| SGF |
2020 |
Introducing the GAMSELECT Procedure for Generalized Additive Model Selection |
Michael Lamm,
Weijie Cai |
source |
25 |
| SGF |
2020 |
It's All about the Base-Procedures, Part 2 |
Jane Eslinger |
source |
20 |
| SGF |
2020 |
Making Life Easier on the SAS End: Best Practices for |
Julie Plano,
Keli Sorrentino |
source |
20 |
| SGF |
2020 |
MOVIE REVIEWS: TO READ OR NOT TO READ! Spoiler Detection with Applied Machine Learning |
Sreejita Biswas |
source |
11 |
| SGF |
2020 |
Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS |
Bethany A. Bell |
source |
27 |
| SGF |
2020 |
Multinomial vs. Ordinal. Does model selection make a difference? for SAS Global Forum 2020 |
Corey Leadbeater |
source |
15 |
| SGF |
2020 |
Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS Viya |
Yuwei Liao |
source |
24 |
| SGF |
2020 |
Scalable Cloud-Based Time Series Analysis and Forecasting Using Open Source Software |
Javier Delgado |
source |
21 |
| SGF |
2020 |
Semi-automatic Feature Engineering from Transactional Data |
James A. Cox,
Biruk Gebremariam,
Tao Wang |
source |
17 |
| SGF |
2020 |
Solving the VAST Challenge: Three Case Studies Using SAS Visual Analytics |
Riley Benson |
source |
17 |
| SGF |
2020 |
Sound Insights: A Pipeline for Information Extraction from Audio Files |
Biljana Belamaric Wilsey,
Xiaozhuo Cheng |
source |
8 |
| SGF |
2020 |
Survey Data Analysis Made Easy wth SAS |
Melanie Dove,
Katherine Heck |
source |
8 |
| SGF |
2020 |
Synchronized Multivariate Resampling to Designated Distribution and Population Level with PROC SURVEYSELECT |
Zhiyong Chen |
source |
10 |
| SGF |
2020 |
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
23 |
| SGF |
2020 |
Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets |
Jayanth Iyengar |
source |
18 |
| SGF |
2020 |
Transdermal Medicine - Challenges and Solutions with SAS |
Marina Komaroff |
source |
14 |
| SGF |
2020 |
Using Lag and Other Function in SAS to Create Final Datasets Temperature Study |
Abbas S. Tavakoli |
source |
14 |
| SGF |
2020 |
Using SAS OpRisk Global Data to Improve Decision-Making at a Bank |
Mentje Gericke,
Helgard Raubenheimer |
source |
17 |
| SGF |
2020 |
Using SAS Visual Analytics Reports for Operational Reporting in Clinical Trials |
Jun Wen,
Jack Shostak |
source |
17 |
| SGF |
2020 |
Visualizing America: SAS Graphical Depictions utilizing the American Community Survey (ACS 2018) [presentation] |
Wendy B. Dickinson |
source |
12 |
| PharmaSUG |
2020 |
A Brief Introduction to Performing Statistical Analysis in SAS, R & Python |
Erica Goodrich,
Daniel Sturgeon |
source |
22 |
| PharmaSUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
14 |
| PharmaSUG |
2020 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| PharmaSUG |
2020 |
Calculation of Cochran-Mantel-Haenszel Statistics for Objective Response and Clinical Benefit Rates and the Effects of Stratification Factors |
Girish Kankipati,
Chia-Ling (Ally) Wu |
source |
8 |
| PharmaSUG |
2020 |
Data Library Comparison Macro %COMPARE_ALL |
Jeffrey P. Meyers |
source |
6 |
| PharmaSUG |
2020 |
Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models |
Thu Dinh,
Goutam Chakraborty |
source |
22 |
| PharmaSUG |
2020 |
Hidden Gems in SAS Display Manager: Old Wine in New Bottle |
Ramki Muthu |
source |
11 |
| PharmaSUG |
2020 |
Is Your Dataset Analysis-Ready? |
Kapila Patel,
Nancy Brucken |
source |
10 |
| PharmaSUG |
2020 |
It's All about the Base-Procedures, Part 2 |
Jane Eslinger |
source |
20 |
| PharmaSUG |
2020 |
Library Datasets Summary Macro %DATA_SPECS |
Jeffrey P. Meyers |
source |
7 |
| PharmaSUG |
2020 |
Natural History Study - A Gateway to Treat Rare Disease |
Tabassum Ambia |
source |
5 |
| PHUSE US |
2020 |
2020 Syneos Health. All rights reserved |
Working Smarter |
source |
7 |
| PHUSE US |
2020 |
A Comparison of Machine Learning Algorithms for Binary Classification of Free-text Fields Using SAS, R, and Python |
Michael S Rimler |
source
presentation source |
12 |
| PHUSE US |
2020 |
An Approach to Dynamic Data Visualization with dplyr DT and Shiny |
Megan Kendellen,
Nicholas Masel |
source
presentation source |
11 |
| PHUSE US |
2020 |
Connected Monitoring |
Mike Henderson |
source
presentation source |
6 |
| PHUSE US |
2020 |
Data Load Automation |
Jennifer H. Desai |
source
presentation source |
4 |
| PHUSE US |
2020 |
Early Detection and Prevention of Compliance Issues |
Vara Prasad Reddy Sakampally |
source |
5 |
| PHUSE US |
2020 |
Generating TFLs in R - Challenges and Successes Compared to SAS |
Amol Wayker,
Andrew Miskell |
source
presentation source |
10 |
| PHUSE US |
2020 |
Incidence Rate - Incidence Proportion Prevalence Rate and Other Related Statistics |
Nadiia Pukhliar |
source
presentation source |
7 |
| PHUSE US |
2020 |
Visualizing the Complexities of Genomics Datasets |
Vibha Raghavan |
source
presentation source |
7 |
| PHUSE EU |
2019 |
An Introduction to Python: The SAS Programmer's Guide |
Bradley Harris |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Beyond missing data patterns: augmenting PROC MI tables with summary of imputed data |
Lamine Signate |
source
presentation source |
6 |
| PHUSE EU |
2019 |
Efficiently Simulating Normally Distributed Data for Animation |
Benjamin White |
source
poster source |
14 |
| PHUSE EU |
2019 |
Finding the Right Balance - Data Management Surveillance in a Fully Outsourced Partnership Model |
Konstanze Morgenroth |
source
presentation source |
11 |
| PHUSE EU |
2019 |
SDTM Validation Tool |
Anamaria Calai |
source
presentation source |
12 |
| PHUSE EU |
2019 |
The Importance of Sleep and How Best to Measure It [presentation] |
Neil Stanley |
source |
122 |
| PHUSE EU |
2019 |
Validate the validated: A python script for study leads to review clinical outputs |
Varaprasad Ilapogu |
source
presentation source |
6 |
| SESUG |
2019 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| SESUG |
2019 |
Comparison Word Clouds Using the %PROC_R macro and Base SAS Interface |
Melvin T. Alexander |
source |
13 |
| SESUG |
2019 |
Data Visualizations using Census Shapefiles, PROC GMAP, SAS/GRAPH Animation, and BISG |
Martha D. Pohl |
source |
26 |
| SESUG |
2019 |
Data-driven Programming Techniques using SAS Macros to Semi-automate Generation of Descriptive Tables in Healthcare Research |
Katie Mercaldi |
source |
37 |
| SESUG |
2019 |
Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis |
Charlotte Baker |
source |
14 |
| SESUG |
2019 |
Hybrid Rare Event Sampling Technique |
Ross Bettinger |
source |
15 |
| SESUG |
2019 |
Introduction to Propensity Score Modeling and Treatment Effect Estimation |
Jason Brinkley |
source |
13 |
| SESUG |
2019 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SESUG |
2019 |
PROC SQL for PROC SUMMARY Stalwarts |
Christianna S. Williams |
source |
18 |
| SESUG |
2019 |
Summarizing some conventional methods to classify a binary target |
Yida Bao,
Philippe Gaillard |
source |
10 |
| SESUG |
2019 |
The Power of PROC SQL's SELECT DISTINCT INTO |
HoaiNam Tran |
source |
9 |
| SESUG |
2019 |
User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps |
Troy Martin Hughes |
source |
25 |
| SESUG |
2019 |
Using SAS to examine peripheral intravenous access using ultrasound guided |
Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess |
source |
6 |
| SESUG |
2019 |
Validating Classification and Recidivism in Corrections Through Outcome Analytics |
Alan R. Mann |
source |
34 |
| SESUG |
2019 |
When in Doubt, Shell It Out |
Timothy Egan |
source |
9 |
| SCSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
source |
28 |
| SCSUG |
2019 |
Introduction to Data-Driven Programming Using SAS for Beginners |
Kirk Paul Lafler |
source |
23 |
| SCSUG |
2019 |
Making Your SAS Results More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SCSUG |
2019 |
Pattern Analysis and Predictive Policing Using Socio-Economic Factors |
Trishla Mishra |
source |
12 |
| SCSUG |
2019 |
Working with Customer Contact Data |
Jon Purvis |
source |
9 |
| MWSUG |
2019 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
|
20 |
| MWSUG |
2019 |
Breaking Human Trafficking Network: An Analytics Approach |
Raj Laxmi Prakash,
Miriam McGaugh |
|
16 |
| MWSUG |
2019 |
Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models |
Thu Dinh |
|
23 |
| MWSUG |
2019 |
Evaluate your SCORE: Logistic regression prediction comparison using the SCORE statement |
Robert G. Downer |
|
6 |
| MWSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
|
28 |
| MWSUG |
2019 |
Exploring and characterizing time series data in a non-regression based approach |
Steven C. Myers |
|
20 |
| MWSUG |
2019 |
Exploring Wine Reviews: How Language and Word Use Varies in Wine Reviews |
Abigail Zysk,
Kylie Springer |
|
8 |
| MWSUG |
2019 |
Frequency matching case-control techniques: an epidemiological perspective |
Hai Nguyen |
|
8 |
| MWSUG |
2019 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
|
22 |
| MWSUG |
2019 |
Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS |
Troy Martin Hughes |
|
8 |
| MWSUG |
2019 |
SAS Macro Programming Tips and Techniques |
Kirk Paul Lafler |
|
13 |
| MWSUG |
2019 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
|
24 |
| MWSUG |
2019 |
User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps |
Troy Martin Hughes |
|
25 |
| WUSS |
2019 |
Analyzing Factors Influencing Viewer Count of TED Talks through Text Analytics |
Yasha Pastaria |
source |
15 |
| WUSS |
2019 |
Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software |
Troy Martin Hughes |
source |
17 |
| WUSS |
2019 |
Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS |
Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja |
source |
10 |
| WUSS |
2019 |
Easy Solutions To %LET You Reduce Repetitive Programming |
Ekaterina Roudneva |
source |
16 |
| WUSS |
2019 |
Keyboard Macros! An awesome tool you may have never heard of - once you do, you will never program the same again (It's that amazing!) |
Steven C. Black |
source |
6 |
| WUSS |
2019 |
Principles of Automation |
Robert Ellsworth |
source |
14 |
| WUSS |
2019 |
User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps |
Troy Martin Hughes |
source |
25 |
| WUSS |
2019 |
Validate the validated: A python script for study leads to review clinical outputs |
Varaprasad Ilapogu |
source |
6 |
| PharmaSUG |
2019 |
An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories |
Xiaoyu Tang,
Todd Case |
source |
10 |
| PharmaSUG |
2019 |
Common Pinnacle 21 Report Issues: Shall we Document or Fix? |
Ajay Gupta |
source |
11 |
| PharmaSUG |
2019 |
Enhancing Randomization Methodology Decision-Making with SAS Simulations |
Kevin Venner,
Jennifer Ross,
Kyle Huber,
Graham Nicholls |
source |
15 |
| PharmaSUG |
2019 |
Ensuring Programming Integrity with Python: Dynamic Code Plagiarism Detection |
Michael Stackhouse |
source |
17 |
| PharmaSUG |
2019 |
Free Duplicates Here! Get Your Free Duplicates |
Kristen Reece Harrington |
source |
5 |
| PharmaSUG |
2019 |
Freq Out - Proc Freq's Quick Answers to Common Questions |
Christine McNichol |
source |
8 |
| PharmaSUG |
2019 |
Heat Map and Map Chart using TIBCO Spotfire |
Ajay Gupta |
source |
14 |
| PharmaSUG |
2019 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
Mark Keintz |
source |
11 |
| PharmaSUG |
2019 |
It's All About the Base-Procedures |
Jane Eslinger |
source |
20 |
| PharmaSUG |
2019 |
Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare |
Michael S Rimler,
Matt Pitlyk |
source |
18 |
| PharmaSUG |
2019 |
Programmatically mapping source variables to output SDTM variables based upon entries in a standard specifications Excel file |
Frederick A. Cieri,
Rama Arja,
Zev Kahn,
Ramesh Karuppusamy |
source |
16 |
| PharmaSUG |
2019 |
Sum Fun with Flags! Sum Any Flagged Occurrence Data with FLAGSUM and Report It with FLAGRPT or PROC REPORT. |
Brendan Bartley |
source |
31 |
| PharmaSUG |
2019 |
Text Analysis of QC/Issue Tracker Using Natural Language Processing (NLP) Tools |
Huijuan Zhang,
Todd Case |
source |
8 |
| PharmaSUG |
2019 |
The Power of PROC FORMAT |
Jonas V. Bilenas,
Kajal Tahiliani |
source |
13 |
| PharmaSUG |
2019 |
User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps |
Troy Martin Hughes |
source |
25 |
| SGF |
2019 |
An ETL Macro Toolbox: Simplify How You Add Class Variables and Low Volume Limits |
Zeke Torres |
source |
22 |
| SGF |
2019 |
Automate in a DASH with SAS: Time Saving Techniques for Building Quality Improvement Dashboards |
Shavonne J. Standifer |
source |
10 |
| SGF |
2019 |
Data Governance: Harder, Better, Faster, Stronger |
Vincent Rejany |
source |
18 |
| SGF |
2019 |
Data Quality Programming Techniques with SAS Cloud Analytic Services |
Nicolas Robert |
source |
10 |
| SGF |
2019 |
Dealing with Exact Confidence Interval of Binary Endpoint Data [presentation] |
Kamleshkumar Patel,
Vaishali Patel |
source |
3 |
| SGF |
2019 |
Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis |
Charlotte Baker |
source |
16 |
| SGF |
2019 |
Exclusive Data Set Access in a Stored Process Web Application: Macros for mutexes in Windows OS |
Richard A. DeVenezia |
source |
14 |
| SGF |
2019 |
Google Store Revenue Probability Prediction |
Rohit Kaul,
Meera Govindan |
source |
10 |
| SGF |
2019 |
Hearing Every Voice: SAS Text Analytics for Federal Regulations Public Commentary |
Emily McRae,
Tom Sabo,
Manuel Figallo-Monge |
source |
12 |
| SGF |
2019 |
Human Trafficking Research: The Persistence and Movement of Phone Numbers in Escort Ads |
Miriam McGaugh,
James Van Scotter,
Lauren Ann Agrigento,
Denise J. McManus,
Tom Kari |
source |
10 |
| SGF |
2019 |
Increase your Productivity with SAS Enterprise Guide |
Marje Fecht |
source |
18 |
| SGF |
2019 |
Integrating SAS, Apache Hadoop and an Enterprise Data Warehouse in a Single Solution [presentation] |
Bob Matsey |
source |
17 |
| SGF |
2019 |
Introduction to Data-driven Programming Using SAS |
Kirk Paul Lafler |
source |
23 |
| SGF |
2019 |
It's All About the Base-Procedures |
Jane Eslinger |
source |
21 |
| SGF |
2019 |
Optimizing Product Assortment with Total Unduplicated Reach and Frequency Analysis in SAS/OR |
Jay Laramore |
source |
16 |
| SGF |
2019 |
Real-World Evidence and Population Health Analytics: Intersection and Application |
David Olaleye |
source |
16 |
| SGF |
2019 |
Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
21 |
| SGF |
2019 |
Statistical Data Checks to Identify Questionable and Suspicious Data |
Kaitie Lawson |
source |
11 |
| SGF |
2019 |
SuperFreq: using the REPORT Procedure to Create Multi-Level Frequency Tables |
Jedediah J. Teres |
source |
17 |
| SGF |
2019 |
Surveys: Finding the message in the tables |
Alice Feldesman |
source |
12 |
| SGF |
2019 |
SWAT's it all about? SAS Viya for Python Users |
Carrie Foreman |
source |
18 |
| SGF |
2019 |
The Benefits of Keeping It Casual: Investigating Stress-Mediated Health Outcomes with PROC CAUSALMED |
Daniel Muzyka,
Matthew Lypka |
source |
19 |
| SGF |
2019 |
The Categorical Might of PROC FREQ |
Jinson J. Erinjeri,
Saritha Bathi |
source |
18 |
| SGF |
2019 |
The Wondrous New tmCooccur SAS Cloud Analytic Services (CAS) Action and Some of Its Many Uses |
James A. Cox,
Russell Albright |
source |
13 |
| SGF |
2019 |
Thirteen Statistics Every Biostatistician Should Know |
AnnMaria De Mars |
source |
20 |
| SGF |
2019 |
Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets |
Jayanth Iyengar |
source |
18 |
| SGF |
2019 |
Understanding, Tracking, and Visualizing Decisions with SAS Viya |
Carl Sommer |
source |
13 |
| SGF |
2019 |
Using Cost-Sensitive Predictive Modeling in Digital Marketing |
Romana Sipoldova |
source |
7 |
| SGF |
2019 |
Using Parallel Analytics to Determine the Dimensionality of the Computer-Based Prostate Cancer Screen |
Abbas S. Tavakoli,
Otis L. Owens,
Nikki R. Wooten |
source |
10 |
| SGF |
2019 |
Using PROC SQL to Generate Shift Tables More Efficiently |
Jenna Cody |
source |
9 |
| SGF |
2019 |
Using SAS Forecast Server and the SASEFRED Engine to Enhance Your Forecast |
Catherine LaChapelle |
source |
7 |
| PHUSE US |
2019 |
Check Your Data: Tools for Automating Data Assessment |
Paul Stutzman |
source
presentation source |
10 |
| PHUSE US |
2019 |
Ensuring Programming Integrity with Python: Dynamic Code Plagiarism Detection |
Michael Stackhouse |
source
presentation source |
16 |
| PHUSE US |
2019 |
Free Duplicates Here! Get Your Free Duplicates |
Kristen Reece Harrington |
source
presentation source |
4 |
| PHUSE US |
2019 |
Is There a Magic Pill for Employee Retention in Our Domain? A Statistical Viewpoint |
Anu Sivanesan |
source
presentation source |
5 |
| PHUSE US |
2019 |
Overview of SAS Studio [presentation] |
Bruce Wienckowski |
source |
51 |
| PHUSE US |
2019 |
Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials |
Michael Farnum |
source
presentation source |
12 |
| PHUSE US |
2019 |
Using Study Metrics to Monitor Several Aspects of Clinical Studies Virtually Real Time |
Julio Ruiz |
source
presentation source |
6 |
| SCSUG |
2018 |
Detecting Fake News |
Gaurav Jhanwar |
source |
15 |
| SCSUG |
2018 |
Introduction to Data-driven Programming Using SAS |
Kirk Paul Lafler |
source |
22 |
| SCSUG |
2018 |
Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| SCSUG |
2018 |
Visual Storytelling - The Art of Communicating Information with Graphics |
Kirk Paul Lafler |
source |
16 |
| PHUSE EU |
2018 |
A Learned Approach to CDISC Specifications |
Stephen M. Noga,
Brandon L. Welch,
Jeffrey M. Abolafia |
source
presentation source |
9 |
| PHUSE EU |
2018 |
Big Datasets Seen as a Big Problem and How to Deal With Them |
Daniil Shliakhow |
source
presentation source |
5 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Designing and Implementing an 'Information Hub' for Statistics and Programming |
Bradley Harris |
source
poster source |
7 |
| PHUSE EU |
2018 |
Do Loops in Proc DS2 |
Fred Ross,
George Allerston |
source
presentation source |
7 |
| PHUSE EU |
2018 |
Enhancing the Application of Real-world Evidence with Episode of Care Analytics |
David Olaleye,
Lina Clover |
source
presentation source |
13 |
| PHUSE EU |
2018 |
Optimizing the Traceability Method in ADaM Parallel Conversions |
Roxane Debrus |
source
presentation source |
15 |
| PHUSE EU |
2018 |
Program Validation - Care for a Black Sheep |
Andrea Weber |
source
poster source |
8 |
| PHUSE EU |
2018 |
Step-by-step Guide to Efficacy Analysis in Solid Tumors Oncology Clinical Trials |
Anastasiia Tiurdo |
source
presentation source |
11 |
| PHUSE EU |
2018 |
The Salford Lung Study: Challenges and Complexities with the Reporting of Electronic Medical Record Data in a Pioneering and Novel Approach to Clinical Trials |
Daniel Kwok,
Jennifer Colthart |
source
presentation source |
11 |
| SESUG |
2018 |
"Use SAS PROC Tabulate to create a PDF with Bookmarks" |
Barbara Felts,
Chuchun Chien,
Susan Myers |
source |
9 |
| SESUG |
2018 |
A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma |
Hurricane Irma |
source |
11 |
| SESUG |
2018 |
A Quick Bite on SAS Studio Custom Tasks |
Michael Kola |
source |
29 |
| SESUG |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
20 |
| SESUG |
2018 |
Automation Methods: Using SAS to Write the Code for Repetitive Quality Control Checks |
Imelda C. Go |
source |
5 |
| SESUG |
2018 |
Five Crazy Good Visualizations and How to Plot Them |
David Mintz |
source |
12 |
| SESUG |
2018 |
Introduction to Data-driven Programming Using SAS |
Kirk Paul Lafler |
source |
22 |
| SESUG |
2018 |
Investigation of Impact on Smoking due to Vaporizing in High Schools |
Justin Williams |
source |
17 |
| SESUG |
2018 |
Knowing What You've Got |
Stephanie R. Thompson |
source |
9 |
| SESUG |
2018 |
Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic |
Richann J. Watson,
Lynn Mullins |
source |
14 |
| SESUG |
2018 |
Life in the Fast Lane: SAS Macro Language with Parallel Processing |
Merry G. Rabb |
source |
7 |
| SESUG |
2018 |
Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS |
Troy Martin Hughes |
source |
8 |
| SESUG |
2018 |
Student Placement: Using SAS to Combine and Prioritize Information |
Kelly D. Smith,
Bobbie E. Frye,
Paul G. Earls |
source |
6 |
| SESUG |
2018 |
Table Taming - Using ODS to Simplify Data Presentation |
Emily Perry |
source |
12 |
| SESUG |
2018 |
The Categorical Might of PROC FREQ |
Jinson J. Erinjeri,
Saritha Bathi |
source |
18 |
| SESUG |
2018 |
Using PROC SQL to Generate Shift Tables More Efficiently |
Jenna Cody |
source |
8 |
| SESUG |
2018 |
Using SAS to create HTML codebooks and more! |
Ethan Ritchie |
source |
9 |
| MWSUG |
2018 |
A Hands-on Introduction to SAS Metadata DICTIONARY Tables and SASHELP Views |
Kirk Paul Lafler |
|
16 |
| MWSUG |
2018 |
Analyzing Amazon's Customer Reviews using SAS Text Miner for Devising Successful Product Launch Strategies |
Manideep Mellachervu,
Anvesh Reddy Minukuri |
|
13 |
| MWSUG |
2018 |
Analyzing YouTube comments on gun violence using SAS Viya and SAS Text Miner |
Sridevi Loya |
|
9 |
| MWSUG |
2018 |
Confounded? This example shows how to use SAS chi-square tests, correlations and logistic regression to unconfound a result. |
Michael C. Grierson |
|
13 |
| MWSUG |
2018 |
Data-Driven Data Analysis |
Jack N. Shoemaker |
|
10 |
| MWSUG |
2018 |
Efficiency Programming with Macro Variable Arrays |
Veronica Renauldo |
|
19 |
| MWSUG |
2018 |
Making Your SAS Output, Results, Reports, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
|
20 |
| MWSUG |
2018 |
Screening, Transforming, and Fitting Predictors for Cumulative Logit Model |
Bruce S. Lund |
|
22 |
| MWSUG |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
|
18 |
| MWSUG |
2018 |
Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets |
Jayanth Iyengar |
|
18 |
| MWSUG |
2018 |
Understanding Administrative Healthcare Datasets using SAS programming tools |
Jayanth Iyengar |
|
24 |
| MWSUG |
2018 |
Using your FREQ effectively: Displays to Decipher Proportional Odds in Ordinal Regression |
Robert G. Downer |
|
11 |
| MWSUG |
2018 |
Visual Storytelling - The Art of Communicating Information with Graphics |
Kirk Paul Lafler |
|
16 |
| MWSUG |
2018 |
What's the Difference? Using the PROC COMPARE to find out. |
Larry Riggen |
|
19 |
| WUSS |
2018 |
Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| WUSS |
2018 |
Advanced Programming Concepts: History of the List Processing and Cardinality Ratio Memes |
Ronald J. Fehd |
source |
30 |
| WUSS |
2018 |
Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models |
Wendy Christensen |
source |
10 |
| WUSS |
2018 |
Data-Driven Data Analysis |
Jack N. Shoemaker |
source |
10 |
| WUSS |
2018 |
Essential Programming Techniques Every SAS User Should Learn |
Kirk Paul Lafler |
source |
26 |
| WUSS |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| WUSS |
2018 |
Introduction to Data-driven Programming Using SAS |
Kirk Paul Lafler |
source |
22 |
| WUSS |
2018 |
Introduction to SAS Procedures: SAS Basics III [presentation] |
Susan J. Slaughter |
source |
46 |
| WUSS |
2018 |
Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic |
Richann J. Watson,
Lynn Mullins |
source |
14 |
| WUSS |
2018 |
Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color |
Kirk Paul Lafler |
source |
20 |
| WUSS |
2018 |
Parallel Processing with Base SAS |
Jim Barbour |
source |
17 |
| WUSS |
2018 |
Survey data analysis made easy with SAS: a hands-on workshop [presentation] |
Melanie Dove,
Katherine Heck |
source |
38 |
| PHUSE US |
2018 |
A Statistics-based Tool to Inform Risk-based Monitoring Approaches |
Laura Williams,
Giulia Zardi |
source
presentation source |
8 |
| PHUSE US |
2018 |
Adverse Event Analysis - One step forward! |
Anuja Rasal |
source
presentation source |
11 |
| PHUSE US |
2018 |
Cue the Word - QC - All You Need to Know! |
Subha Jamburajan,
Nancy Haeusser |
source
presentation source |
6 |
| PHUSE US |
2018 |
Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA |
Qais Hatim |
source
presentation source |
31 |
| PHUSE US |
2018 |
Going Pro with PROs: Implementation and Analysis of Patient Reported Outcomes |
Shilpakala Vasudevan |
source
presentation source |
12 |
| PHUSE US |
2018 |
Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation |
Qais Hatim,
Emily McRae |
source
presentation source |
24 |
| PHUSE US |
2018 |
Proc FCMP: Stay Magical |
Keerthana Palwai |
source |
7 |
| PHUSE US |
2018 |
PROC TEMPLATE and its Application IN TABLES & CROSSTABULATION TABLES |
Ruchi Sahu |
source
presentation source |
8 |
| PHUSE US |
2018 |
Subgroup Explorer and AdEPro - The Full Picture on Clinical Trial Data [presentation] |
Madhurima Majumder,
Erya Huang |
source |
20 |
| PharmaSUG |
2018 |
A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening |
William Coar |
source |
8 |
| PharmaSUG |
2018 |
A SAS@ Macro Application on Confidence Intervals for Binominal Proportion |
Kaijun Zhang,
Sheng Zhang |
source |
13 |
| PharmaSUG |
2018 |
Advanced Analytics approach to explore CENSUS Data and know the population in order to determine the best opportunities to open the new Hospital |
Krystian Matusz |
source |
12 |
| PharmaSUG |
2018 |
Automating and Abstracting SAS Format Creation: Leveraging the CNTLIN Option To Build Dynamic SAS Formats That Clean, Convert, and Categorize Data |
Troy Martin Hughes |
source |
21 |
| PharmaSUG |
2018 |
Data Standards for Population Pharmacokinetic (POPPK) and Non-Compartmental Analysis (NCA) |
Neelima Thanneer |
source |
7 |
| PharmaSUG |
2018 |
Easy CSR In-Text Table Automation, Oh My |
Janet E. Stuelpner |
source |
6 |
| PharmaSUG |
2018 |
Exploring techniques of using multiple SET statements in a DATA step |
Yizhong Huang |
source |
10 |
| PharmaSUG |
2018 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
23 |
| PharmaSUG |
2018 |
Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic |
Lynn Mullins,
Richann J. Watson |
source |
14 |
| PharmaSUG |
2018 |
Let's Start Something New! A Beginner's Guide to Programming in the SAS CAS Environment |
Kevin Russell,
Gerry Nelson |
source |
15 |
| PharmaSUG |
2018 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| PharmaSUG |
2018 |
Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS |
Troy Martin Hughes |
source |
8 |
| PharmaSUG |
2018 |
PK Data Explained |
Timothy J. Harrington |
source |
9 |
| PharmaSUG |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
source |
18 |
| PharmaSUG |
2018 |
Statistician in my Soul. Statistical Questions from SPA |
Nadiia Hryhorenko |
source |
12 |
| PharmaSUG |
2018 |
TECHNIQUES FOR GLOBAL, ADAPTABLE, AND EFFICIENT PROGRAMMING |
Sunil Kumar Pusarla |
source |
8 |
| PharmaSUG |
2018 |
Using SAS GTL to Visualize Data When there is Too Much of It to Visualize |
Nathaniel Derby,
Perry Watts |
source |
22 |
| PharmaSUG |
2018 |
Visually Exploring Odds Ratios between Risk Factors for Fetal and Infant Mortality in Kent County, MI |
Ruth Kurtycz |
source |
11 |
| PharmaSUG |
2018 |
What makes a good QC Programmer? |
Timothy J. Harrington |
source |
8 |
| SGF |
2018 |
A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma |
Bogdan Gadidov,
Linh H. Le |
source |
11 |
| SGF |
2018 |
A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening |
Bill Coar |
source |
9 |
| SGF |
2018 |
A Simple Approach to Text Analysis Using SAS Functions |
Wilson Suraweera,
Jaya Weerasooriya,
Neil Fernando |
source |
10 |
| SGF |
2018 |
An Investigation of the Factors Associated with Opioid Misuse |
Claire Masson |
source |
6 |
| SGF |
2018 |
Association Rule Mining of Polypharmacy Patterns in Health Care Data Using SAS Enterprise Miner |
Dingwei Dai |
source |
17 |
| SGF |
2018 |
Back to Basics: Get Better Insights from Data |
Atrin Assa |
source |
10 |
| SGF |
2018 |
Bayesian Concepts: An Introduction |
John Amrhein,
Fei Wang |
source |
10 |
| SGF |
2018 |
BI Centralization: The Benefits of Implementing a Report Encyclopedia for Your Organization |
John Mattox |
source |
13 |
| SGF |
2018 |
Bricolage: My Autobiography, with SAS Procedures |
AnnMaria De Mars |
source |
13 |
| SGF |
2018 |
Bridging the Skills Gap between Post-Secondary Education Outcomes and Employment Opportunities |
Hong-Yu Xavier Fu,
Allan Esser |
source |
7 |
| SGF |
2018 |
Deploying and Maintaining Models in a Big Data Environment: An Intelligent SAS Workflow |
Anvesh Reddy Minukuri,
Ramcharan Kakarla,
Sundar Krishnan |
source |
8 |
| SGF |
2018 |
Do You Need to Put Your Data on a Diet? |
Howard Plemmons Jr.,
Priya Sharma |
source |
7 |
| SGF |
2018 |
Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide |
Marje Fecht |
source |
18 |
| SGF |
2018 |
Economic Capital Modeling with SAS Econometrics |
Mahesh V. Joshi |
source |
19 |
| SGF |
2018 |
Factors versus Clusters |
Diana D. Suhr |
source |
16 |
| SGF |
2018 |
Fine-Tuning Topical Content in Written Expressions in Cloud-Based Environments Using SAS |
Gurpreet S. Bawa |
source |
10 |
| SGF |
2018 |
From Unstructured Text to the Data Warehouse: Customer Support at the University of North Texas |
Nick Evangelopoulos |
source |
10 |
| SGF |
2018 |
Fuzzy Matching Programming Techniques Using SAS Software |
Stephen B. Sloan,
Kirk Paul Lafler |
source |
24 |
| SGF |
2018 |
Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment |
Joe Lorenz |
source |
10 |
| SGF |
2018 |
Identifying Semantically Equivalent Questions Using Singular Value Decomposition |
Varsha Reddy Akkaloori |
source |
6 |
| SGF |
2018 |
Implementing Privacy Protection-Compliant SAS Aggregate Reports |
Leonid Batkhan |
source |
14 |
| SGF |
2018 |
Innovating Government Decision-Making through Analytics |
Steve Bennett |
source |
19 |
| SGF |
2018 |
Key-Independent Uniform Segmentation of Arbitrary Input Using a Hash Function |
Paul M. Dorfman,
Donald J. Henderson |
source |
18 |
| SGF |
2018 |
Measuring Response to the Ultimate Driving Machine: Consumer Sentiments and Brand Advertising |
Amit K Ghosh,
Goutam Chakraborty,
Praveen Kumar Kotekal |
source |
8 |
| SGF |
2018 |
Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS |
Kyle Biron |
source |
20 |
| SGF |
2018 |
My Experiences in Adopting SAS Cloud Analytic Services into Base SAS Processes |
Steven Sober |
source |
17 |
| SGF |
2018 |
New Ways to Incorporate Continuous Predictors in Generalized Linear Models |
Anthony Salis,
Angela Wu,
Gordon Johnston |
source |
15 |
| SGF |
2018 |
Retail Product Bundling: A New Approach |
Bruno Nogueira |
source |
18 |
| SGF |
2018 |
Risk Pathways: Using Machine Learning Techniques of SAS Viya to Understand Customer Risk Drivers |
Leigh Ann Herhold |
source |
14 |
| SGF |
2018 |
Robust Principal Component Analysis: Two Analyses in One |
Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha |
source |
11 |
| SGF |
2018 |
SAS and Python: The Perfect Partners in Crime |
Carrie Foreman |
source |
14 |
| SGF |
2018 |
SAS Visual Analytics 8.2: What's New in Reporting? |
Riley Benson,
Rajiv Ramarajan |
source |
17 |
| SGF |
2018 |
SAS Visual Forecasting: A Cloud-Based Time Series Analysis and Forecasting System |
Jerzy M. Brzezicki,
Joseph H. Katz |
source |
21 |
| SGF |
2018 |
Scalable Cloud-Based Time Series Analysis and Forecasting |
Thiago Quirino,
Michael J. Leonard,
Ed Blair |
source |
22 |
| SGF |
2018 |
Sentiment Analysis of Netflix and Competitor Tweets to Classify Customer Opinions |
Rucha Jadhavar,
Agastya Komarraju |
source |
15 |
| SGF |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
source |
18 |
| SGF |
2018 |
Supercharging Data Subsets in SAS Viya 3.3 |
Brian Bowman |
source |
20 |
| SGF |
2018 |
Text Analytics Lessons Learned: When MAUDE Doesn't Talk to You |
Grace Heyne Lybrand,
Reid Baughman,
Ingrid Lundberg,
Michael Swanson |
source |
9 |
| SGF |
2018 |
The Function Selection Procedure |
Bruce S. Lund |
source |
11 |
| SGF |
2018 |
Time Series Feature Extraction |
Michele A. Trovero,
Michael J. Leonard |
source |
18 |
| SESUG |
2017 |
A macro of building predictive model in PROC LOGISTIC with AIC-optimal variable selection embedded in cross-validation |
Hongmei Yang |
source |
7 |
| SESUG |
2017 |
A Software Toolkit for Data Management |
Kim Chantala,
Jean Robinson,
Helen Smith |
source |
19 |
| SESUG |
2017 |
Advanced Programming Concepts: History of the List Processing and Cardinality Ratio Memes |
Cardinality Ratio Memes |
source |
29 |
| SESUG |
2017 |
Analysis of Tweets on Demonetization in India using SAS Enterprise Miner |
Jital Patel,
Narmada Deve Panneerselvam |
source |
19 |
| SESUG |
2017 |
Churn the Data Around - A Machine Learning Approach to Understanding Why Customers Leave |
Sean Ankenbruck |
source |
9 |
| SESUG |
2017 |
Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency |
Kirk Paul Lafler |
source |
10 |
| SESUG |
2017 |
Format-o-matic: Using Formats To Merge Data From Multiple Sources |
Marcus Maher,
Ipsos Public |
source |
10 |
| SESUG |
2017 |
From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing |
Troy Martin Hughes |
source |
22 |
| SESUG |
2017 |
From Words to Actions: Using Text Analytics to Drive Business Decisions |
Reid Baughman |
source |
6 |
| SESUG |
2017 |
Fuzzy Matching Programming Techniques Using SAS Software |
Stephen B. Sloan,
Kirk Paul Lafler |
source |
25 |
| SESUG |
2017 |
Identifying Semantically Equivalent Questions Using Singular Value Decomposition |
Varsha Reddy Akkaloori |
source |
7 |
| SESUG |
2017 |
Parallel Processing in a SAS Grid |
Merry G. Rabb,
Keith J. Brown |
source |
12 |
| SESUG |
2017 |
Quality Control in SAS: Checking Input, Work, and Output |
Aaron Brown |
source |
11 |
| SESUG |
2017 |
SAS Survey Report Macro for Creating User-Friendly Descriptive Summaries |
Tammiee Dickenson |
source |
16 |
| SESUG |
2017 |
Setting the Percentage in PROC TABULATE |
David W. Franklin |
source |
7 |
| SESUG |
2017 |
Statistical Analyses of Public Health Surveys Using SAS Survey Package |
Trung Ha,
Julia Soulakova |
source |
6 |
| SESUG |
2017 |
Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses |
Bobbie E. Frye,
James E. Bartlett |
source |
19 |
| SCSUG |
2017 |
Apple or Samsung? Which Phone Should I Buy? Sentiment Analysis Utilizing Customer Reviews on Unlocked iPhone and Samsung Galaxy |
Rosie Nguyen,
Nandan Moza,
Goutam Chakraborty,
Miriam McGaugh |
source |
14 |
| SCSUG |
2017 |
Classifying and Predicting Spam Messages Using Text Mining in SAS Enterprise Miner |
Venkata Kondamudi,
Sai Mounika,
Balamurugan Mohan |
source |
14 |
| SCSUG |
2017 |
Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency |
Kirk Paul Lafler |
source |
10 |
| SCSUG |
2017 |
Fuzzy Matching Programming Techniques Using SAS Software |
Kirk Paul Lafler,
Stephen B. Sloan |
source |
25 |
| PHUSE EU |
2017 |
Growing Up with SAS: It Gets Real |
Yevhen Los,
Dmytro Hasan |
source
presentation source |
6 |
| PHUSE EU |
2017 |
KeyDAN: a Clinical Data De-identification Solution |
Stéphane Chollet |
source
presentation source |
4 |
| PHUSE EU |
2017 |
Mapping of Gastrointestinal Tolerance Data to SDTM |
Lieke Gijsbers |
source
presentation source |
5 |
| PHUSE EU |
2017 |
Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs |
Onkar Tajarekar |
source
presentation source |
9 |
| PHUSE EU |
2017 |
SAS Performance Qualification for Clinical Programmers |
Tatiana Volodina,
Andrey Myslivets |
source
presentation source |
8 |
| MWSUG |
2017 |
An Introduction to ODS Statistical Graphics |
Kirk Paul Lafler |
|
13 |
| MWSUG |
2017 |
Arbovirus, Varicella and More: Using SAS for Reconciliation of Disease Counts |
Misty Johnson |
|
8 |
| MWSUG |
2017 |
Cleaning Messy Data: SAS Techniques to Homogenize Tax Payment Data |
Aaron Barker |
|
8 |
| MWSUG |
2017 |
Let's Get FREQy with our Statistics: Let SAS Determine the Appropriate Test Statistic Based on Your Data |
Lynn Mullins,
Richann J. Watson |
|
14 |
| MWSUG |
2017 |
Oscars 2017 - Text Mining & Sentimental Analysis |
Karthik Sripathi |
|
9 |
| MWSUG |
2017 |
Patient Safety with SAS Visual Analytics |
Piyush K. Singh,
Prasoon Sangwan,
Ghiyasuddin Mohammed Faraz Khan |
|
12 |
| MWSUG |
2017 |
Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights |
Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton |
|
15 |
| WUSS |
2017 |
A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software |
Kirk Paul Lafler,
Stephen B. Sloan |
source |
25 |
| WUSS |
2017 |
Analysis of Complex Survey Data with SAS |
Christine Wells |
source |
6 |
| WUSS |
2017 |
Creating Completely Automated Reports in SAS Using the ODS RTF Destination: Protect Your Results from Human Error |
Debra A. Goldman |
source |
19 |
| WUSS |
2017 |
Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems |
Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh |
source |
15 |
| WUSS |
2017 |
Introduction to SAS Procedures: SAS Basics III |
Susan J. Slaughter |
|
40 |
| WUSS |
2017 |
Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS |
Troy Martin Hughes |
source |
8 |
| WUSS |
2017 |
Programming Triage: Rooting Out Dataset Discrepancies in the Validation Process |
Julia Sturgeon |
source |
7 |
| WUSS |
2017 |
Quality Control of Clinical Data Listings with PROC COMPARE |
Robert Bikwemu,
Nicole Wallstedt |
source |
7 |
| WUSS |
2017 |
SAS/GRAPH and GfK Maps: a Subject Matter Expert Winning Combination |
Louise S. Hadden |
source |
21 |
| WUSS |
2017 |
Ten Things You Should Know About PROC FORMAT |
Jack N. Shoemaker |
source |
10 |
| PharmaSUG CN |
2017 |
One Step to Produce Shift Table by Using PROC REPORT |
Haiqiang Luo |
|
7 |
| PharmaSUG |
2017 |
Analyzing data from multiple clinical trials using SAS Real World Evidence |
Jay Paulson,
David Olaleye |
source |
13 |
| PharmaSUG |
2017 |
Beyond - Just fix it!- Application of Root Cause Analysis Methodology in SAS Programming. |
Nagadip Rao |
source |
8 |
| PharmaSUG |
2017 |
Check Your Data: Tools for Automating Data Assessment |
Paul Stutzman |
source |
12 |
| PharmaSUG |
2017 |
Combining Survival Analysis Results after Multiple Imputation of Censored Event Times |
Jonathan L Moscovici,
Bohdana Ratitch |
source |
11 |
| PharmaSUG |
2017 |
Dear Dave, Please See the .LST File for Our Validation Differences. Thanks, Bad Validation Programmer |
Tracy Sherman,
David W. Carr,
Brian P. Fairfield-Carter |
source |
9 |
| PharmaSUG |
2017 |
Make it personal: Upgrade your figures by adding individual patient data to the common figure types |
Yuliia Bahatska,
Christiane Ahlers |
source |
20 |
| PharmaSUG |
2017 |
New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 |
Vincent DelGobbo |
source |
26 |
| PharmaSUG |
2017 |
Overview and Application of the HCV Vertical Resistance Analysis Template |
Yan Xie |
source |
5 |
| PharmaSUG |
2017 |
Put the "K" in Your KAB: Know How to Efficiently Program with Knowledge, Attitudes, and Behavior Survey Data |
Cara Lacson,
Jasmeen Hirachan |
source |
16 |
| PharmaSUG |
2017 |
Same statistical method different results? Don-t panic the reason might be obvious. |
Iryna Kotenko |
source |
8 |
| PharmaSUG |
2017 |
Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data |
Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo |
source |
20 |
| PharmaSUG |
2017 |
Using Animated Graphics to Show PKPD Relationships in SAS 9.4 |
Andrew Mccarthy |
source |
8 |
| SGF |
2017 |
A Big-Data Challenge: Visualizing Social Media Trends about Cancer Using SAS Text Miner |
Scott Koval,
Yijie Li,
Mia Lyst |
source |
8 |
| SGF |
2017 |
An Easy-to-Use SAS Macro for a Descriptive Statistics Table |
Yuanchao Zheng,
Jin Long,
Maria E. Montez-Rath |
source
pdf |
16 |
| SGF |
2017 |
Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary |
Bo Zhang,
Liwei Wang |
source |
6 |
| SGF |
2017 |
Auditing in SAS Visual Analytics |
Elena Muriel |
source |
18 |
| SGF |
2017 |
Automate Validation of CDISC SDTM with SAS |
Sy J. Truong |
source |
11 |
| SGF |
2017 |
Breaking through the Barriers: Innovative Sampling Techniques for Unstructured Data Analysis |
Murali Krishna Pagolu |
source |
8 |
| SGF |
2017 |
Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics |
Leesha Delatie-Budair,
Jessica Campbell |
source |
14 |
| SGF |
2017 |
Classroom Success with SAS Grid Manager and SAS Visual Analytics: Coping With Big Data |
John Jernigan,
Ken Gahagan,
Cheryl Doninger |
source |
11 |
| SGF |
2017 |
Complex Merging of Emergency Department and Hospitalization Data to Create a Longitudinal Data Set |
Charlotte Baker |
source |
9 |
| SGF |
2017 |
Construction of a Disease Network and a Prediction Model for Dementia |
Jinwoo Cho |
source |
14 |
| SGF |
2017 |
Data Visualization from SAS to Microsoft SharePoint |
Xiaogang Tang |
source |
14 |
| SGF |
2017 |
Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide |
Marje Fecht |
source
zip |
17 |
| SGF |
2017 |
Escape the Desktop with ODS EPUB |
David W. Kelley |
source |
14 |
| SGF |
2017 |
Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics |
Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard |
source |
15 |
| SGF |
2017 |
Exploring the Art and Science of SAS Text Analytics: Best Practices in Developing Rule-Based Models |
Murali Krishna Pagolu,
Cheyanne Baird,
Christina Engelhardt |
source |
15 |
| SGF |
2017 |
How Members Really Feel About Your Credit Card |
Anirban Chakraborty,
Surya Bhaskar Ayyalasomayajula |
source |
25 |
| SGF |
2017 |
Investigating Big-Data Crime Scenes |
Theresa H. Ngo |
source |
10 |
| SGF |
2017 |
KA Team: Crime in the City of Philadelphia |
Edwin Baidoo,
Christina Jones,
Muniza Naqvi |
source |
21 |
| SGF |
2017 |
Mind-Map the Gap: Sentiment Analysis of Public Transport |
Tamas Bosznay |
source |
20 |
| SGF |
2017 |
Multivariate Time Series: Recent Additions to the VARMAX Procedure |
Xilong Chen,
Stefanos Kechagias |
source
zip |
14 |
| SGF |
2017 |
New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 |
Vincent DelGobbo |
source
zip |
26 |
| SGF |
2017 |
Nine Best Practices for Big Data Dashboards Using SAS Visual Analytics |
Elena Snavely |
source |
7 |
| SGF |
2017 |
Not So Simple: Intervals You Can Have Confidence In with Real Survey Data |
David A. Vandenbroucke |
source |
12 |
| SGF |
2017 |
Optimizing Anti-Money Laundering Transaction Monitoring Systems Using SAS Analytical Tools |
Stephen M. Overton,
Eric Hale,
Leigh Ann Herhold |
source |
10 |
| SGF |
2017 |
Outline Outliers: Adding a Business Sense |
Alex Glushkovsky |
source |
17 |
| SGF |
2017 |
PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds |
Paul Hilliard |
source
zip
pdf |
16 |
| SGF |
2017 |
Sankey Diagram: A Compelling, Convenient, and Informational Path Analysis with SAS Visual Analytics |
Abhilasha Tiwari |
source |
17 |
| SGF |
2017 |
SAS Macros for Binning Predictors with a Binary Target |
Bruce S. Lund |
source |
13 |
| SGF |
2017 |
SAS/GRAPH and GfK GeoMarketing Maps: a Subject Matter Expert Winning Combination |
Louise S. Hadden |
source |
21 |
| SGF |
2017 |
So You Think You Can Combine Data Sets? |
Christopher J. Bost |
source |
23 |
| SGF |
2017 |
Stress Testing and Supplanting the LOCK Statement: Using Mutex Semaphores for Reliable File Locking |
Troy Martin Hughes |
source |
28 |
| SGF |
2017 |
Tables and Graphics That Will FREQ You Out |
Kathryn McLawhorn |
source |
21 |
| SGF |
2017 |
Text Mining of Movie Synopsis by SAS Enterprise Miner |
Yiyun Zhou |
source
pdf |
3 |
| SGF |
2017 |
The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money |
Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell |
source |
59 |
| SGF |
2017 |
Time-Frequency Analysis Using SAS |
Michael J. Leonard,
Wei Xiao,
Arin Chaudhuri |
source |
5 |
| SGF |
2017 |
Using a SAS Macro to Calculate Kappa and 95% CI for Several Pairs of Nurses of Chemical Triage |
Abbas S. Tavakoli,
Joan Culley,
Jane Richter,
Sara Donevant,
Jean Craig |
source
pdf |
10 |
| SGF |
2017 |
Using PROC SEVERITY to Evaluate Quantile Approximation Techniques for Compound Distributions |
Helgard Raubenheimer,
Riaan de Jongh |
source |
11 |
| SGF |
2017 |
Using SAS to Analyze Emergency Department Visits: Medicaid Patients Compared to Other Pay Sources |
Bradley Casselman,
Taylor K. Larkin,
Denise J. McManus |
source |
16 |
| SGF |
2017 |
Using SAS to Estimate SE, SP, PPV, NPV, and Other Statistics of Chemical Mass Casualty Triage |
Abbas S. Tavakoli,
Joan Culley,
Jane Richter,
Sara Donevant,
Jean Craig |
source
pdf |
11 |
| SGF |
2017 |
Using Segmentation to Build More Powerful Models with SAS Visual Analytics |
Darius S. Baer,
Sam Edgemon |
source |
18 |
| SGF |
2017 |
Using Text Analysis to Improve the Quality of Scoring Models with SAS Enterprise Miner |
Piotr Małaszek |
source |
11 |
| SGF |
2017 |
Using the OPTGRAPH Procedure: Transformation of Transactional Data into Graph for Cluster Analysis |
Linh H. Le,
Jennifer Priestley |
source |
12 |
| SGF |
2017 |
Using Vibration Spectral Analysis to Predict Failures by Integrating R into SAS Asset Performance Analytics |
Adriaan Van Horenbeek |
source |
15 |
| SGF |
2017 |
Visualizing Market Structure Using Brand Sentiments |
Praveen Kumar Kotekal,
Amit K Ghosh,
Goutam Chakraborty |
source |
9 |
| SCSUG |
2016 |
Analyzing sentiments in tweets for Tesla Model 3 |
Praneth Guggilla,
Tejaswi Jha,
Goutam Chakraborty |
source |
12 |
| SCSUG |
2016 |
How to stop Stephen Curry |
Wei Gao,
Vrushali Walde |
source |
11 |
| SCSUG |
2016 |
Sentiment Analysis of Opinions about Self Driving Cars |
Nachiket Kawitkar,
Swapneel Deshpande,
Goutam Chakraborty,
Miriam McGaugh |
source |
13 |
| SESUG |
2016 |
An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step |
Michael S. Zdeb |
source |
10 |
| SESUG |
2016 |
Applying SAS to Explore the Utilization and Impact of Sensitive Clinical Indicators on a Heart Failure Unit |
Jametta S. Magwood-Golston,
Abbas S. Tavakoli |
source |
7 |
| SESUG |
2016 |
Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation |
Gregory Weller |
source |
8 |
| SESUG |
2016 |
Divide & Conquer: Simple Sub-Data Sets Creation with Call Execute |
Dylan L. Holt |
source |
8 |
| SESUG |
2016 |
Extract Information from Large Database Using SAS Array, PROC FREQ, and SAS Macro |
Lifang Zhang |
source |
6 |
| SESUG |
2016 |
Extracting Email Domains and Geo-Processing IP Addresses in SAS |
Alec Zhixiao Lin |
source |
4 |
| SESUG |
2016 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni |
source |
62 |
| SESUG |
2016 |
Introduction to ODS Statistical Graphics |
Kirk Paul Lafler |
source |
13 |
| SESUG |
2016 |
Make the Jump from Business User to Data Analyst in SAS Visual Analytics |
Ryan Kumpfmilller |
source |
13 |
| SESUG |
2016 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
source |
14 |
| SESUG |
2016 |
Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods |
Tyler Hicks,
Jeffrey D. Kromrey |
source |
8 |
| SESUG |
2016 |
Sample Size Estimation with PROC FREQ and PROC POWER |
Adeline J. Wilcox |
source |
12 |
| SESUG |
2016 |
Sankey Diagram with Incomplete Data - From a Medical Research Perspective |
Sankey Diagram |
source |
14 |
| SESUG |
2016 |
Spawning SAS Sleeper Cells and Calling Them into Action: Implementing Distributed Parallel Processing in the SAS University Edition Using Commodity Computing To Maximize Performance |
Troy Martin Hughes |
source |
17 |
| SESUG |
2016 |
Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing |
Troy Martin Hughes |
source |
27 |
| SESUG |
2016 |
Text Analysis of American Airline s Customer Reviews |
Rajesh Tolety |
source |
7 |
| SESUG |
2016 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
source |
10 |
| SESUG |
2016 |
Using SAS Macros to Extract P-values from PROC FREQ |
Rachel Straney |
source |
7 |
| SESUG |
2016 |
Using SAS to Examine Relationships among Leadership Styles of College of Nursing Deans and Faculty Job Satisfaction Levels in Research Intensive Institutions |
Nursing Deans,
Faculty Job Satisfaction Levels |
source |
6 |
| SESUG |
2016 |
Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations |
Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins |
source |
9 |
| PHUSE EU |
2016 |
Automating Frequency Tables with ClinXport SAS Macro Package |
Loizos Nicolaou |
source
presentation source |
6 |
| PHUSE EU |
2016 |
Program-level Programming Strategy - Oh, I Wish I'd Thought of That Beforehand! |
Jennie McGuirk |
source
presentation source |
9 |
| PHUSE EU |
2016 |
The Data Detective: Hints and Tips for Independent Programming QC |
Bethan Thomas |
source |
11 |
| PHUSE EU |
2016 |
What Auditors Want |
Angelo Tinazzi,
Cédric Marchand |
source
presentation source |
8 |
| MWSUG |
2016 |
A Demonstration of Various Models Used in a Key Driver Analysis |
Steven M. LaLonde |
|
17 |
| MWSUG |
2016 |
Analyzing sentiments in tweets for Tesla Model 3 using SAS Enterprise Miner and SAS Sentiment Analysis Studio |
Tejaswi Jha,
Praneth Guggilla |
|
12 |
| MWSUG |
2016 |
Calculating Cardinality Ratio in Two Steps |
Ronald J. Fehd |
|
22 |
| MWSUG |
2016 |
Data Analysis with User-Written DS2 Packages |
Robert S. Ray,
William Eason |
|
11 |
| MWSUG |
2016 |
Discover the golden paths, unique sequences and marvelous associations out of your big data using Link Analysis in SAS Enterprise Miner TM |
Delali Agbenyegah,
Candice Zhang |
|
14 |
| MWSUG |
2016 |
I Have a Secret: How Can I Hide Small Numbers from Public View? |
Fred Edora |
|
6 |
| MWSUG |
2016 |
Read html files and create standard tables for BISR at KUMC |
Chuanwu Zhang,
John Keighley,
Byron J. Gajewski |
|
7 |
| MWSUG |
2016 |
SAS/GRAPH and GfK Maps: a Subject Matter Expert Winning Combination |
Louise S. Hadden |
|
14 |
| MWSUG |
2016 |
Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing |
Troy Martin Hughes |
|
27 |
| MWSUG |
2016 |
The Joinless Join ~ The Impossible Dream Come True; Expand the Power of Base SAS and SAS Enterprise Guide in a New Way |
Kent Phelps,
Ronda Phelps |
|
49 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| MWSUG |
2016 |
Utilizing PROC CONTENTS with Macro Programming to Summarize and Tabulate Copious Amounts of Data |
Kathryn Schurr,
Erica Goodrich |
|
9 |
| PharmaSUG CN |
2016 |
The Simple Application of SAS DDE in Excel |
Danting Guo |
|
6 |
| WUSS |
2016 |
An Animated Guide: Incremental Response Modeling in Enterprise Miner |
Russell M. Lavery |
source |
19 |
| WUSS |
2016 |
Bayesian Concepts: An Introduction |
John Amrhein |
source |
8 |
| WUSS |
2016 |
Clinton vs. Trump 2016: Analyzing and Visualizing Tweets and Sentiments of Hillary Clinton and Donald Trump |
Siddharth Grover |
source |
9 |
| WUSS |
2016 |
Constructing Confidence Intervals for the Differences of Binomial Proportions in SAS |
William Garner |
source |
13 |
| WUSS |
2016 |
Creating meaningful factors from dietary questionnaires |
Jenna Carlson |
source |
9 |
| WUSS |
2016 |
Descriptive Analysis of Donation Amount Data and Text Mining of Tweets on Presidential Primaries using SAS |
Aditya Jakkam,
Swetha Nallamala |
source |
14 |
| WUSS |
2016 |
Don't Forget About Small Data |
Lisa Eckler |
source |
15 |
| WUSS |
2016 |
Equivalence Tests |
John Amrhein,
Fei Wang |
source |
9 |
| WUSS |
2016 |
Getting it Done with PROC TABULATE |
Michael Williams |
source |
14 |
| WUSS |
2016 |
How we know an intervention works: Program evaluation by example |
AnnMaria De Mars |
source |
13 |
| WUSS |
2016 |
Identifying Duplicates Made Easy |
Yunin Ludena,
Elizabeth Guerrero Angel |
source |
5 |
| WUSS |
2016 |
SAS Graphing Done Right: Two Good Alternatives to PROC GPLOT/GCHART, Part 2 |
Isaiah Lankham |
source |
17 |
| WUSS |
2016 |
Selection Bias: How Can Propensity Score Utilization Help Control For It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| WUSS |
2016 |
Text Analysis of American Airline s Customer Reviews |
Saurabh Choudhary,
Rajesh Tolety |
source |
9 |
| WUSS |
2016 |
The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure |
Joshua M. Horstman |
source |
13 |
| WUSS |
2016 |
Using SAS to analyze Countywide Survey Data: A look at Adverse Childhood Experiences |
Roshni Shah |
source |
3 |
| PharmaSUG |
2016 |
AE: An Essential Part of Safety Summary Table Creation |
Rucha Landge |
source |
12 |
| PharmaSUG |
2016 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| PharmaSUG |
2016 |
CDISC Standards End-to-End: Transitional Hurdles |
Alyssa M. Wittle,
Christine McNichol,
Antonio Cardozo |
source |
6 |
| PharmaSUG |
2016 |
Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis |
Sakthivel Sivam,
Subbiah Meenakshisundaram |
source |
8 |
| PharmaSUG |
2016 |
Formats and Informats - Concepts and Quick Reference Table |
Emmy V Pahmer |
source |
8 |
| PharmaSUG |
2016 |
Handling Interim and Incomplete Data in a Clinical Trials Setting |
Paul Stutzman |
source |
13 |
| PharmaSUG |
2016 |
Preparing the Data to Ensure Correct Calculation of Relative Risk |
Ravi Kankipati,
Abhilash Chimbirithy |
source |
13 |
| PharmaSUG |
2016 |
Setting the Percentage in PROC TABULATE |
David W. Franklin |
source |
6 |
| PharmaSUG |
2016 |
Tips and Tricks for Bar Charts using SAS/Graph Template Language |
Randall Nordfors,
Boxun Zhang |
source |
8 |
| SGF |
2016 |
A Descriptive Analysis of Reported Health Issues in Rural Jamaica |
Verlin Joseph |
source
presentation |
5 |
| SGF |
2016 |
A Guide to Section 508 Compliance Using SAS 9.4 Output Delivery System (ODS) |
Glen R. Walker |
source |
40 |
| SGF |
2016 |
A Prompted Application to Easily Create Forest Plots and Inner Margin Tables |
Ted Durie |
source
zip |
21 |
| SGF |
2016 |
Analysis of IMDb Reviews for Movies and Television Series Using SAS Enterprise Miner and SAS Sentiment Analysis Studio |
Ameya Jadhavar,
Goutam Chakraborty,
Prithvi Raj Sirolikar |
source |
17 |
| SGF |
2016 |
Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study |
Yan Zhang,
Ryan Baker,
Yoav Bergner |
source
presentation |
7 |
| SGF |
2016 |
Correcting the Quasi-complete Separation Issue in Logistic Regression Models |
Xinghe Lu |
source |
10 |
| SGF |
2016 |
Data Analysis with User-Written DS2 Packages |
Robert S. Ray,
William Eason |
source |
11 |
| SGF |
2016 |
Diagnosing Obstructive Sleep Apnea: Using Predictive Analytics Based on Wavelet Analysis in SAS/IML Software and Spectral Analysis in PROC SPECTRA |
Woranat Wongdhamma |
source |
12 |
| SGF |
2016 |
Disparities in the Receipt of Cardiac Revascularization Procedures |
C. Perry Brown,
Jontae Sanders |
source |
13 |
| SGF |
2016 |
Document and Enhance Your SAS Code, Data Sets, and Catalogs with SAS Functions, Macros, and SAS Metadata |
Roberta J. Glass,
Louise S. Hadden |
source
zip |
12 |
| SGF |
2016 |
Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide |
Marje Fecht |
source |
17 |
| SGF |
2016 |
Enhanced Segmentation Using SAS Visual Analytics and SAS Visual Statistics |
Darius S. Baer,
Suneel Grover |
source |
19 |
| SGF |
2016 |
Equivalence Tests |
Fei Wang,
John Amrhein |
source |
9 |
| SGF |
2016 |
Everyone CAN be a Data Scientist: Using SAS Studio to Create a Custom Task for SAS In-Memory Statistics |
Stephen Ludlow |
source |
20 |
| SGF |
2016 |
Evolving Fraud Types: Can Your Application Keep Up? |
Gordon Robinson |
source |
11 |
| SGF |
2016 |
Factors of Multiple Fatalities in Car Crashes |
Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere |
source |
60 |
| SGF |
2016 |
From Sensors to Solutions: An Example of Analytics in Motion |
Milad Falahi,
Gilbert Hernandez |
source |
12 |
| SGF |
2016 |
Graph a Million with the SGPLOT Procedure |
Prashant Hebbar,
Lingxiao Li,
Sanjay N. Matange |
source
zip |
9 |
| SGF |
2016 |
Graphical Results in Clinical Oncology Studies |
Nora Ruel |
source |
14 |
| SGF |
2016 |
How Do My Neighbors Affect Me? SAS/ETS Methods for Spatial Econometric Modeling |
Guohui Wu,
Jan Chvosta |
source |
13 |
| SGF |
2016 |
How to STRIP Your Data: Five Go-To Steps to Assure Data Quality |
Michael Santema,
Fagen Xie |
source |
6 |
| SGF |
2016 |
Improve Your Business through Process Mining |
Emily Y. Gao,
Robert Chu,
Xudong Sun |
source |
17 |
| SGF |
2016 |
Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs |
John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn |
source |
15 |
| SGF |
2016 |
Measuring Brand Sentiment Using Smileys |
Sharat Dwibhasi |
source |
8 |
| SGF |
2016 |
Missing Values: They Are NOT Nothing |
Justin Jia,
Shan Shan Lin |
source |
19 |
| SGF |
2016 |
My "Excel"lent Adventure |
Gina Huff |
source |
18 |
| SGF |
2016 |
Name That Tune--Writing Music with SAS |
Daniel R. Bretheim |
source |
8 |
| SGF |
2016 |
No FREQ'n Way |
Renee Canfield |
source |
10 |
| SGF |
2016 |
Predicting Rare Events Using Specialized Sampling Techniques in SAS |
Rhupesh Damodaran Ganesh Kumar,
Kiren Raj Mohan Jagan Mohan |
source |
7 |
| SGF |
2016 |
Product Purchase Sequence Analyses by Using a Horizontal Data Sorting Technique |
Justin Jia,
Shan Shan Lin |
source
presentation |
11 |
| SGF |
2016 |
SAS Analytics for Multi-armed Bandit Market Analysis |
Thomas Lehman |
source |
5 |
| SGF |
2016 |
SAS Grid Administration Made Simple |
Scott Parrish,
Paula Kavanagh,
Linda Zeng |
source |
3 |
| SGF |
2016 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| SGF |
2016 |
Survey Data Imputation with PROC SURVEYIMPUTE |
Pushpal K. Mukhopadhyay |
source |
26 |
| SGF |
2016 |
Text Analytics and Brand Topic Maps |
Nicholas Evangelopoulos |
source |
11 |
| SGF |
2016 |
The Baker's Dozen: What Every Biostatistician Needs to Know |
AnnMaria De Mars |
source |
17 |
| SGF |
2016 |
The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure |
Joshua M. Horstman |
source |
13 |
| SGF |
2016 |
The Six Tenets of a Better Decision |
Daniel Jahn |
source |
9 |
| SGF |
2016 |
Uncommon Techniques for Common Variables |
Christopher J. Bost |
source |
10 |
| SGF |
2016 |
Upgrade from ARIMA to ARIMAX to Improve Forecasting Accuracy of Nonlinear Time-Series: Create Your Own Exogenous Variables Using Wavelet Analysis |
Woranat Wongdhamma |
source |
16 |
| SGF |
2016 |
Using GENMOD to Analyze Correlated Data on Military Health System Beneficiaries Receiving Behavioral Health Care in South Carolina Health Care System |
Abbas S. Tavakoli,
Jordan Brittingham,
Nikki R. Wooten |
source
presentation |
10 |
| SGF |
2016 |
Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| SGF |
2016 |
Using the Kaplan-Meier Product-Limit Estimator to Adjust NFL Yardage Averages |
Keith G. Curtis |
source |
20 |
| SGF |
2016 |
Using the SURVEYSELECT Procedure to Draw Stratified Cluster Samples with Unequally Sized Clusters |
Chuanjie Liao,
Brian Patterson |
source
presentation |
11 |
| SGF |
2016 |
Visualizing Eye-Tracking Data with SAS: Creating Heat Maps on Images |
Matthew Duchnowski |
source
presentation |
9 |
| MWSUG |
2015 |
Are You Missing Out? Working with Missing Values to Make the Most of What is not There |
Arthur L. Carpenter |
|
12 |
| MWSUG |
2015 |
Base SAS Sentiment Analysis Using Catchprases |
Mike D. Tangedal |
|
9 |
| MWSUG |
2015 |
Basic SAS PROCedures for Quick Results |
Kirk Paul Lafler |
|
19 |
| MWSUG |
2015 |
Do we need Macros? An Essay on the Theory of Application Development |
Ronald J. Fehd |
|
10 |
| MWSUG |
2015 |
Getting and Staying Organized: Tips for Improving the SAS Data Analysis/Analyst Experience |
Harlan Sayles |
|
5 |
| MWSUG |
2015 |
Improving Data Collection Efficiency And Programming Process Flow Using SAS Enterprise Guide With Epi Info |
Chad Wetzel,
Anne O'Keefe,
Justin Frederick |
|
9 |
| MWSUG |
2015 |
Reading a Column into a Row to Count N-levels, Calculate Cardinality Ratio and Create Frequency and Summary Output In One Step |
Ronald J. Fehd |
|
10 |
| MWSUG |
2015 |
The Joinless Join ~ The Impossible Dream Come True; Expanding the Power of SAS Enterprise Guide in a New Way |
Kent Phelps,
Ronda Phelps |
|
37 |
| MWSUG |
2015 |
Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
|
7 |
| PHUSE EU |
2015 |
Ensuring Data Quality in Outsourced Studies - The Role of the Data Scientist |
Sarah Malbon,
Vikki Horton |
source
presentation source |
8 |
| PHUSE EU |
2015 |
MULTILABEL Option - Valuable Addition to PROC FORMAT (Frequency Analysis with MULTILABEL Formats) |
Anna Amosova |
source
presentation source |
9 |
| PHUSE EU |
2015 |
PHUSE De-identification Working Group: Providing identification Standards to CDISC Data Models |
Jean-Marc Ferran,
Khaled El Eman |
source
presentation source |
13 |
| PHUSE EU |
2015 |
The Rocky Road to Data Transparency |
Rafi Rahi,
Shafi Chowdhury |
source
presentation source |
7 |
| SESUG |
2015 |
A Descriptive Analysis of Reported Health Issues in Rural Jamaica |
Verlin Joseph |
source |
5 |
| SESUG |
2015 |
A SAS Algorithm for Imputing Discrete Missing Outcomes Based on Minimum Distance |
Minimum Distance |
source |
7 |
| SESUG |
2015 |
All Data Are (Most Likely) Not Created Equal: A SAS Macro to Compare Structure and Data Across Multiple Datasets |
Jason L. Salemi |
source |
13 |
| SESUG |
2015 |
Applications Design and Development, a case study of the EDA Summarize-Each-Variable Suite |
Ronald J. Fehd |
source |
22 |
| SESUG |
2015 |
Coder ' |
s Corner |
source |
10 |
| SESUG |
2015 |
Confidence Intervals for Binomial Proportion Using SAS: The All You Need to Know and No More... |
Confidence Intervals,
Jiangtang Hu |
source |
10 |
| SESUG |
2015 |
Creating Quartiles from Continuous Responses: Making Income Data Manageable |
Michelle M. Dahnke |
source |
5 |
| SESUG |
2015 |
Don't Forget About Small Data |
Lisa Eckler,
Lisa Eckler |
source |
15 |
| SESUG |
2015 |
IA_CTT: A SAS Macro for Conducting Item Analysis Based on Classical Test Theory |
Yi-Hsin Chen,
Isaac Y. Li |
source |
9 |
| SESUG |
2015 |
No FREQ-in Way |
Renee Canfield |
source |
9 |
| SESUG |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangiang Meng,
Wayne Thompson,
Jennifer Ames |
source |
12 |
| SESUG |
2015 |
Same Question, Different Name: How to Merge Responses |
Michelle M. Dahnke |
source |
5 |
| SESUG |
2015 |
Streamlining Medicaid Enrollment Reporting and Calculation of Enrollment Trends Using Macro and PROC Statements in SAS |
Deniz Soyer |
source |
10 |
| SESUG |
2015 |
Successful Ways to Add and Drop Data, While Also Reformatting Data |
Adetosoye Oladokun |
source |
11 |
| SESUG |
2015 |
Text Analytics Using JMP |
Melvin T. Alexander,
Social Security |
source |
14 |
| SESUG |
2015 |
Using SAS Macros to Split a Data Set into Several Output Files |
Imelda C. Go |
source |
5 |
| SESUG |
2015 |
Using SAS to Examine Health Effects of Intimate Partner Violence among HIV+ Women |
Abbas S. Tavakoli,
Sabra S. Custer,
Yu Min NI |
source |
6 |
| WUSS |
2015 |
A strategy for understanding your data: Binary Flags and PROC MEANS |
Tejaswini Tiruke,
Glen Masuda |
source |
5 |
| WUSS |
2015 |
Are You Missing Out? Working with Missing Values to Make the Most of What is not There |
Arthur L. Carpenter |
source |
12 |
| WUSS |
2015 |
Basic SAS PROCedures for Quick Results |
Kirk Paul Lafler |
source |
19 |
| WUSS |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| WUSS |
2015 |
Coding Your Own MCMC Algorithm |
Chelsea Lofland |
source |
19 |
| WUSS |
2015 |
Constructing Confidence Intervals for a Single Binomial Proportion in SAS |
William Garner |
source |
8 |
| WUSS |
2015 |
Graphical Results in Clinical Studies A focus on graphics used in oncology |
Nora Ruel,
Paul Frankel |
source |
12 |
| WUSS |
2015 |
Master Macro Variables - by Examples |
Sophia Yue |
source |
16 |
| WUSS |
2015 |
ODS Output Data Sets That Work for You |
Stuart D. Long,
Edward Heaton,
Daniel R. Scharf |
source |
29 |
| WUSS |
2015 |
SAS Certification as a Tool for Professional Development |
Susan J. Slaughter,
Andra Northup |
source |
17 |
| WUSS |
2015 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
source |
15 |
| WUSS |
2015 |
Yes, PROC FREQ does that! |
AnnMaria De Mars |
source |
15 |
| WUSS |
2015 |
You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly |
Mary Federico Katz,
Jason R. Beene |
source |
13 |
| PharmaSUG CN |
2015 |
Reading and Resolving OpenCIDSC Message [presentation] |
Yu Pang |
|
23 |
| PharmaSUG |
2015 |
A Practical Approach to Create Adverse Event Summary by Toxicity Grade Table |
Zhengxin (Cindy) Yang |
source |
8 |
| PharmaSUG |
2015 |
Confidence Intervals Are a Programmer's Friend |
Xinxin Guo,
Zhaohui Su |
source |
8 |
| PharmaSUG |
2015 |
Efficiently Produce Descriptive Statistic Summary Tables with SAS Macros |
Chunmao Wang |
source |
3 |
| PharmaSUG |
2015 |
Improving Data Quality - Missing Data Can Be Your Friend! |
Julie Chen |
source |
12 |
| PharmaSUG |
2015 |
Keyboard Macros - The most magical tool you may have never heard of - You will never program the same again (It-s that amazing!) |
Steven C. Black |
source |
5 |
| PharmaSUG |
2015 |
Leveraging ADaM Principles to Make Analysis Database and Table Programming More Efficient |
Andrew L Hulme |
source |
13 |
| PharmaSUG |
2015 |
PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models |
Jean-Marc Ferran,
Jacques Lanoue |
source |
8 |
| PharmaSUG |
2015 |
Simulate PRELOADFMT Option in PROC FREQ |
Ajay Gupta |
source |
5 |
| PharmaSUG |
2015 |
Statistical Analyses Across Overlapping Time Intervals Based on Person-Years |
John Reilly,
John R. Gerlach |
source |
10 |
| PharmaSUG |
2015 |
Summing up - SDTM Trial Summary Domain |
Yi Liu,
Jenny Erskine,
Stephen Read |
source |
9 |
| PharmaSUG |
2015 |
Team-work and Forensic Programming: Essential Foundations of Indestructible Projects |
Brian P. Fairfield-Carter |
source |
14 |
| PharmaSUG |
2015 |
The Disposition Table: Make it Easy |
Endri Endri,
Benedikt Trenggono |
source |
10 |
| PharmaSUG |
2015 |
Use of SAS Reports for External Vendor Data Reconciliation |
Soujanya Konda |
source |
12 |
| PharmaSUG |
2015 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen,
Meenal (Mona) Sinha |
source |
12 |
| SGF |
2015 |
A Quick View of SAS Views |
Elizabeth Axelrod |
source |
7 |
| SGF |
2015 |
Alien Nation: Text Analysis of UFO Sightings in the US Using SAS Enterprise Miner 13.1 |
Pradeep Reddy Kalakota,
Naresh Abburi,
Goutam Chakraborty,
Zabiulla Mohammed |
source
zip |
14 |
| SGF |
2015 |
An Overview of Econometrics Tools in SAS/ETS: Explaining the Past and Modeling the Future: |
Mark Little,
Kenneth Sanford |
source |
13 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
Application of Text Mining on Tweets to Collect Rational Information about Type-2 Diabetes |
Shubhi Choudhary,
Goutam Chakraborty,
Vijay Singh |
source |
7 |
| SGF |
2015 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| SGF |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2015 |
Competing Risk Survival Analysis Using SAS: When, Why, and How |
Lovedeep Gondara |
source |
10 |
| SGF |
2015 |
Creating Reports in SAS Visual Analytics Designer That Dynamically Substitute Graph Roles on the Fly Using Parameterized Expressions |
Kenny Lui |
source |
12 |
| SGF |
2015 |
Data Quality Scorecard |
Tom Purvis |
source
zip |
16 |
| SGF |
2015 |
Data Sampling Improvement by Developing the SMOTE Technique in SAS |
Lina Maria Guzman Cartagena |
source |
9 |
| SGF |
2015 |
Easing into Analytics Using SAS Enterprise Guide 6.1 |
Marje Fecht |
source |
11 |
| SGF |
2015 |
Educating Future Business Leaders in the Era of Big Data |
Tonya E. Balan |
source |
8 |
| SGF |
2015 |
Efficiently Using SAS Data Views |
Shigui Weng,
Shy Degrace,
Ya Jiun Tsai |
source |
16 |
| SGF |
2015 |
Equivalence and Noninferiority Testing Using SAS/STAT Software |
John M. Castelloe,
Donna Watts |
source |
23 |
| SGF |
2015 |
Experimental Approaches to Marketing and Pricing Research |
Max Friedauer,
Jason Greenfield,
Yuhan Jia,
Joseph Thurman |
source |
22 |
| SGF |
2015 |
Getting Your Hands on Reproducible Graphs |
Rebecca Ottesen,
Leanne Goldstein |
source |
19 |
| SGF |
2015 |
How Best to Effectively Teach the SAS Language |
Arthur X. Li |
source |
13 |
| SGF |
2015 |
How to Hunt for Utility Customer Electric Usage Patterns Armed with SAS Visual Statistics with Hadoop and Hive |
Kathy Ball |
source |
12 |
| SGF |
2015 |
Improving SAS Global Forum Papers |
Vijay Singh,
Pankush Kalgotra,
Goutam Chakraborty |
source |
7 |
| SGF |
2015 |
Managing Extended Attributes With a SAS Enterprise Guide Add-In |
Larry Hoyle |
source |
9 |
| SGF |
2015 |
Meter Data Analytics--Enabling Actionable Decisions to Derive Business Value from Smart Meter Data |
Tom Anderson,
Jennifer Whaley |
source |
11 |
| SGF |
2015 |
Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS |
Betty Johanna Garzon Rozo |
source |
20 |
| SGF |
2015 |
Multinomial Logistic Model for Long-Term Value |
Bruce S. Lund |
source |
16 |
| SGF |
2015 |
Multiple Product Affinity Makes Much More Sense |
Hsin-Yi Wang |
source |
12 |
| SGF |
2015 |
Multiple Ways to Detect Differential Item Functioning in SAS |
Yan Zhang |
source |
9 |
| SGF |
2015 |
Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! |
Debbie Buck |
source |
12 |
| SGF |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangxiang Meng,
Jennifer Ames,
Wayne Thompson |
source |
12 |
| SGF |
2015 |
Preparing Students for the Real World with SAS Studio |
AnnMaria De Mars |
source |
18 |
| SGF |
2015 |
Prioritizing Feeders for Investments: Peformance Analysis Using Data Envelopment Analysis |
Victor Henrique de Oliveira,
Iguatinan Monteiro |
source |
9 |
| SGF |
2015 |
PROC SQL for PROC SUMMARY Stalwarts |
Christianna S. Williams |
source |
19 |
| SGF |
2015 |
Sankey Diagrams in SAS Visual Analytics |
Varsha Chawla,
Renato Luppi |
source |
21 |
| SGF |
2015 |
SAS Certification as a Tool for Professional Development |
Andra Northup,
Susan J. Slaughter |
source |
17 |
| SGF |
2015 |
SAS Does Data Science: How to Succeed in a Data Science Competition |
Patrick Hall |
source
zip |
11 |
| SGF |
2015 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
source |
32 |
| SGF |
2015 |
SAS Visual Analytics: The Value in Leveraging Your Preexisting Data Sets |
Shaun Kaufmann |
source |
6 |
| SGF |
2015 |
Social Media and Open Data Integration through SAS Visual Analytics and SAS Text Analytics for Public Health Surveillance |
Manuel Figallo-Monge,
Emily McRae |
source |
19 |
| SGF |
2015 |
Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures |
Donna Brogan |
source |
20 |
| SGF |
2015 |
Understanding Characteristics of Insider Threats by Using Feature Extraction |
Ila Gokarn,
Clifton Phua |
source |
14 |
| SGF |
2015 |
Using SAS Text Analytics to Examine Labor and Delivery Sentiments on the Internet |
Michael Wallis |
source |
14 |
| SGF |
2015 |
Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial |
Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten |
source |
11 |
| SGF |
2015 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
source |
17 |
| SGF |
2015 |
Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data |
Troy Martin Hughes |
source |
25 |
| SGF |
2015 |
You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly |
Jason R. Beene,
Mary Federico Katz |
source |
14 |
| SCSUG |
2014 |
Baltimore City Data Analysis to Identify High Risk Towing Zones using SAS Enterprise Guide 6.1 |
Karush Jaggi,
Ameya Jadhavar,
Prithvi Raj Srolikar |
|
39 |
| SCSUG |
2014 |
Basic SAS PROCedures for Producing Quick Results |
Kirk Paul Lafler |
|
19 |
| SESUG |
2014 |
A Quick View of SAS Views |
Elizabeth Axelrod |
source |
7 |
| SESUG |
2014 |
Evaluating and Mapping Stroke Hospitalization Costs in Florida |
Shamarial Roberson,
Charlotte Baker,
Jamie Forrest |
source |
6 |
| SESUG |
2014 |
Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization |
Jennifer Mann,
Jason Brinkley,
Pamela Larson |
source |
7 |
| SESUG |
2014 |
Interacting with SAS using Windows PowerShell ISE |
Mayank Nautiyal |
source |
13 |
| SESUG |
2014 |
PROC SQL for PROC SUMMARY Stalwarts |
Christianna S. Williams |
source |
18 |
| SESUG |
2014 |
SAS Enterprise Guide for Institutional Research and Other Data Scientists |
Claudia W. McCann |
source |
20 |
| SESUG |
2014 |
Searching for (and Finding) a Needle in a Haystack: a BASE SAS Exploratory Search Tool to Facilitate Text Mining |
Troy Martin Hughes |
source |
8 |
| SESUG |
2014 |
To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured |
Kate Phillips |
source |
16 |
| SESUG |
2014 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen |
source |
12 |
| SESUG |
2014 |
You've used FREQ, but have you used SURVEYFREQ? |
Charlotte Baker |
source |
8 |
| PHUSE EU |
2014 |
Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies |
Pavla Kadlecová,
Vid Stanulovic |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies |
Pava Kadlecova,
Vid Stanulovic |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Biomarker as Essential Part of Clinical Development |
Renuka Chinthapally |
source
presentation source |
7 |
| PHUSE EU |
2014 |
Conjoint Analysis of Treatment Preference |
Milena Balcerzak |
source
presentation source |
12 |
| PHUSE EU |
2014 |
Do You Like What You See? - Understanding Data in Magnetic Resonance Imaging Studies |
Oliver Wirtz |
source
presentation source |
7 |
| PHUSE EU |
2014 |
Frequency Tables - Aspects to Consider |
Katja Glass |
source
presentation source |
10 |
| PHUSE EU |
2014 |
From Gene Expression to Expression Cartography, Grade Correspondence Analysis Application in Class Comparison Studies |
Edyta Winciorek |
source
presentation source |
6 |
| PHUSE EU |
2014 |
MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting |
Pamela J. Giese |
source
presentation source |
9 |
| PHUSE EU |
2014 |
Monitoring Clinical Trials with a SAS Risk-Based Approach |
Laurie Rose |
source
presentation source |
9 |
| MWSUG |
2014 |
A SAS Macro Using Parallel Genetic Algorithm to Automate Variable Selection |
Jinqiao Li,
Yi Cao,
Yanping Shen |
|
19 |
| MWSUG |
2014 |
Basic SAS PROCedures for Quick Results |
Kirk Paul Lafler |
|
18 |
| MWSUG |
2014 |
Interactive HTML Reporting Using D3 |
Naushad Pasha Puliyambalath Ph.D |
|
7 |
| MWSUG |
2014 |
List Processing Macro Call-Macro |
Ronald J. Fehd |
|
19 |
| MWSUG |
2014 |
Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data |
Robert G. Downer |
|
10 |
| MWSUG |
2014 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
|
15 |
| MWSUG |
2014 |
SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right |
Ira Shapiro |
|
42 |
| MWSUG |
2014 |
The Joinless Join; Expand the Power of SAS Enterprise Guide in a New Way |
Kent Phelps,
Ronda Phelps,
Kirk Paul Lafler |
|
37 |
| MWSUG |
2014 |
Using Cardinality Ratio for Fast Data Review |
Ronald J. Fehd |
|
16 |
| MWSUG |
2014 |
Visualization of Self-Reported Alcohol Use Data: A Timeline Followback Dashboard using Heatmaps, Time Series Plots, and HTML Hover-Text |
Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger |
|
11 |
| MWSUG |
2014 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
|
14 |
| MWSUG |
2014 |
Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data |
Troy Martin Hughes |
|
25 |
| PharmaSUG CN |
2014 |
Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs |
Halimu Haridona |
|
7 |
| PharmaSUG CN |
2014 |
Marco free automation to identify and drop variables with all values as missing |
Vamse Goutam |
|
5 |
| PharmaSUG CN |
2014 |
Visualizing Clinical Trial Data |
Matthew J. Becker |
|
10 |
| WUSS |
2014 |
A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS |
Christopher Yim |
source |
10 |
| WUSS |
2014 |
Alert when one is not Alert: SAS Call Sound Function |
Amarnath Vijayarangan,
Palanisamy Mohan,
Vamse Goutam |
source |
2 |
| WUSS |
2014 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| WUSS |
2014 |
Different Ways of Calculating Percentiles Using SAS |
Arun Akkinapalli |
source |
5 |
| WUSS |
2014 |
Expediting Access to Critical Pathology Data |
Leanne Goldstein,
Rebecca Ottesen,
Julie A. Kilburn,
Joyce C. Niland |
source |
8 |
| WUSS |
2014 |
Getting Your Hands on Reproducible Graphics |
Rebecca Ottesen,
Leanne Goldstein |
source |
17 |
| WUSS |
2014 |
List Processing Macro Call-Macro |
Ronald J. Fehd |
source |
19 |
| WUSS |
2014 |
Macro Design Ideas: Theory, Template, Practice |
Ronald J. Fehd |
source |
21 |
| WUSS |
2014 |
Macro free automation to identify and drop variables with all values as missing |
Amarnath Vijayarangan,
Vamse Goutam |
source |
5 |
| WUSS |
2014 |
Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps |
AnnMaria De Mars |
source |
17 |
| WUSS |
2014 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
source |
15 |
| WUSS |
2014 |
SAS Certification as a Tool for Professional Development |
Andra Northup,
Susan J. Slaughter |
source |
11 |
| WUSS |
2014 |
SAS Essentials I (or How I Learned to Stop Worrying and Love SAS) |
Tasha Chapman |
source |
13 |
| WUSS |
2014 |
TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say |
Karen Walker |
source |
10 |
| WUSS |
2014 |
Using Cardinality Ratio for Fast Data Review |
Ronald J. Fehd |
source |
15 |
| WUSS |
2014 |
Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study |
Deanna Naomi Schreiber-Gregory |
source |
35 |
| WUSS |
2014 |
Using SAS and the Centers for Disease Control and Prevention 2010 Natality Data to Estimate the Effect Size of Prenatal Visits on Preterm Birth |
Melissa Borelli |
source |
10 |
| WUSS |
2014 |
You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity |
Mary Federico Katz,
Jason R. Beene |
source |
12 |
| PharmaSUG |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| PharmaSUG |
2014 |
A SAS Macro to Evaluate Balance after Propensity Score Matching |
Erin Hulbert,
Lee Brekke |
source |
12 |
| PharmaSUG |
2014 |
Are You Missing Out? Working with Missing Values to Make the Most of What is not There |
Arthur L. Carpenter |
source |
11 |
| PharmaSUG |
2014 |
Attain 100% Confidence in Your 95% Confidence Interval |
Indu Nair,
Binal Patel |
source |
9 |
| PharmaSUG |
2014 |
Atypical Application of PROC SUMMARY |
John Henry King |
source |
14 |
| PharmaSUG |
2014 |
Automate the Process of Image Recognizing a Scatter Plot: An Application of Non-parametric Cluster Analysis in Capturing Data from Graphical Output |
Zhaojie Wang |
source |
11 |
| PharmaSUG |
2014 |
Considerations in the Submission of Exposure Data in SDTM-Based Datasets |
Fred Wood,
Jerry Salyers,
Richard Lewis,
Kristin Kelly |
source |
6 |
| PharmaSUG |
2014 |
Defining Non-Inferiority Margins for Skin Adhesion Studies |
Marina Komaroff,
Sailaja Bhaskar |
source |
12 |
| PharmaSUG |
2014 |
Expediting Access to Critical Pathology Data |
Rebecca Ottesen,
Leanne Goldstein,
Julie A. Kilburn,
Joyce C. Niland |
source |
8 |
| PharmaSUG |
2014 |
Healthcare Data Manipulation and Analytics Using SAS |
Lumin Shen,
Jane Lu |
source |
11 |
| PharmaSUG |
2014 |
Let Chi-Square Pass Decision to Fisher's Programmatically |
Linga Reddy Baddam,
Sudarshan Reddy Shabadu |
source |
5 |
| PharmaSUG |
2014 |
Let Hash SUMINC Count For You |
Joseph W. Hinson |
source |
7 |
| PharmaSUG |
2014 |
Linking Healthcare Claims and Electronic Health Records (EHR) for Patient Management - Diabetes Case Study |
Paul A. LaBrec |
source |
17 |
| PharmaSUG |
2014 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
source |
15 |
| PharmaSUG |
2014 |
That SASsy Lab Data |
Amie Bissonett |
source |
6 |
| PharmaSUG |
2014 |
The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction |
Ashwini S Erande,
Shaista Malik |
source |
11 |
| PharmaSUG |
2014 |
The path less trodden - PROC FREQ for ODDS RATIO |
Manjusha Gondil,
Linga Reddy Baddam |
source |
4 |
| PharmaSUG |
2014 |
Tips for Finding Your Bugs Before QC Does |
Beatriz Garcia |
source |
6 |
| PharmaSUG |
2014 |
TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say |
Karen Walker |
source |
10 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| PharmaSUG |
2014 |
Validating Analysis Data Set without Double Programming - An Alternative Way to Validate the Analysis Data Set |
Linfeng Xu,
Christina Scienski |
source |
15 |
| SGF |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2014 |
Analyzing U.S. Healthcare Cost and Use with SAS |
Paul Gorrell |
source |
17 |
| SGF |
2014 |
Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs |
Justin Jia,
Amanda Lin |
source |
12 |
| SGF |
2014 |
Basic SAS PROCedures for Producing Quick Results |
Kirk Paul Lafler |
source |
18 |
| SGF |
2014 |
Calculate All Kappa Statistics in One Step |
Matthew Duchnowski |
source |
7 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst,
Diane Hatcher |
source |
16 |
| SGF |
2014 |
Counting Days of the Week - The INTCK Approach |
Jinson J. Erinjeri |
source |
4 |
| SGF |
2014 |
Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure |
Rob Agnelli |
source |
17 |
| SGF |
2014 |
Graphs Useful for Variable Selection in Predictive Modeling |
Bob Moore |
source |
9 |
| SGF |
2014 |
How to Interpret SVD Units in Predictive Models? |
Murali Krishna Pagolu,
Goutam Chakraborty |
source |
10 |
| SGF |
2014 |
Implementing Multiple Comparisons on Pearson Chi-square Test for an RxC Contingency Table in SAS |
Man Jin,
Binhuan Wang |
source |
6 |
| SGF |
2014 |
Leveraging Advanced Analytics to Create Customer-Centric Assortments |
Christopher Matz |
source |
10 |
| SGF |
2014 |
Macro Design Ideas: Theory, Template, Practice |
Ronald J. Fehd |
source |
21 |
| SGF |
2014 |
Managing Opt-Out Risk |
Jia Lei |
source |
4 |
| SGF |
2014 |
Measures of Fit for Logistic Regression |
Paul D. Allison |
source |
12 |
| SGF |
2014 |
Model Variable Selection Using Bootstrap Decision Tree |
David J. Corliss |
source |
7 |
| SGF |
2014 |
Predictive Analytics Reporting Framework [presentation] |
Heidi Hiemstra |
source |
6 |
| SGF |
2014 |
Programmatic Challenges of Dose Tapering Using SAS |
Iuliana Barbalau,
Chen Shi,
Yang Yang |
source |
9 |
| SGF |
2014 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
source |
15 |
| SGF |
2014 |
SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! |
George S. Habek |
source |
19 |
| SGF |
2014 |
Selecting Peer Institutions with Cluster Analysis |
Diana D. Suhr |
source |
12 |
| SGF |
2014 |
Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries |
Mahesh V. Joshi,
Jan Chvosta |
source
zip |
20 |
| SGF |
2014 |
Star Wars and the Art of Data Science: An Analytical Approach to Understanding Large Amounts of Unstructured Data |
Adam Maness,
Mary Osborne |
source |
28 |
| SGF |
2014 |
Text Mining Economic Topic Sentiment for Time Series Modeling |
Michael P. Dessauer,
Justin Kauhl |
source |
14 |
| SGF |
2014 |
Text Mining Reveals the Secret of Success: Identification of Sales Determinants Hidden in Customers' Opinions |
Rafal Wojdan |
source |
18 |
| SGF |
2014 |
The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS Visual Analytics Explorer |
Nascif Abousalh-Neto |
source |
15 |
| SGF |
2014 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
source |
8 |
| SGF |
2014 |
Tools of the SAS Trade: A Centralized Macro-Based Reporting System |
Patrick Thornton |
source |
20 |
| SGF |
2014 |
Unlock the Power of SAS Visual Analytics Starting with Multiple Microsoft Excel Files |
Beena Mathew,
Michelle Wilkie |
source |
28 |
| SGF |
2014 |
Using SAS Graph Template Language with SAS 9.3 Updates to Visualize Data When There is Too Much Data to Visualize |
Perry Watts,
Nathaniel Derby |
source |
20 |
| SGF |
2014 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen,
Meenal Sinha |
source |
12 |
| SGF |
2014 |
Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores |
Renee Gennarelli,
Melody S. Goodman |
source |
10 |
| SGF |
2014 |
Validating Self-Reported Survey Measures Using SAS |
Sarah Lyons,
Kimberly Kaphingst,
Melody S. Goodman |
source |
6 |
| SGF |
2014 |
Visualizing Lake Michigan Wind with SAS Software |
Aaron Clark |
source |
8 |
| SGF |
2014 |
What You're Missing About Missing Values |
Christopher J. Bost |
source |
11 |
| SGF |
2014 |
When Do You Schedule Preventative Maintenance? Multivariate Time Series in SAS/ETS |
Kenneth Sanford |
source |
8 |
| WUSS |
2013 |
"How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important |
Arthur L. Carpenter |
source |
20 |
| WUSS |
2013 |
A Quick and Dirty Descriptive Data Summary |
Nora Ruel,
Rebecca Nelson |
source |
12 |
| WUSS |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
source |
19 |
| WUSS |
2013 |
Exact Testing Procedures in SAS for Categorical Data Analysis |
Guogen Shan,
Darren Liu |
source |
5 |
| WUSS |
2013 |
Getting so Much when Reviewing Data with Touch |
Sy J. Truong |
source |
14 |
| WUSS |
2013 |
The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" |
Ashwini Erande,
Shaista Malik |
source |
11 |
| SCSUG |
2013 |
The Concepts and Practice of Analysis with SAS Enterprise Guide |
Christopher W. Schacherer |
source |
48 |
| SESUG |
2013 |
5 Simple Steps to Improve the Performance of your Clinical Trials Table Programs using Base SAS Software |
Sally Walczak |
source |
12 |
| SESUG |
2013 |
Binning Bombs When You're Not a Bomb Maker: A Code-Free Methodology to Standardize, Categorize, and Denormalize Categorical Data |
Binning Bombs |
source |
26 |
| SESUG |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SESUG |
2013 |
Coding For the Long Haul With Managed Metadata and Process Parameters |
Mike Molter |
source |
20 |
| SESUG |
2013 |
Data Review Information: N-Levels or Cardinality Ratio |
Ronald J. Fehd |
source |
6 |
| SESUG |
2013 |
Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? |
Ronald J. Fehd |
source |
9 |
| SESUG |
2013 |
Dup, Dedup, DUPOUT |
Heidi Markovitz |
source |
5 |
| SESUG |
2013 |
Explore RFM approaches using SAS |
Explore RFM |
source |
6 |
| SESUG |
2013 |
Getting Out of the PROC PRINT Comfort Zone to Start Using PROC REPORT |
Imelda C. Go |
source |
10 |
| SESUG |
2013 |
Introducing the New ADAPTIVEREG Procedure for Adaptive Regression |
Warren F,
Weijie Cai |
source |
21 |
| SESUG |
2013 |
Know Thy Data: Techniques for Data Exploration |
Andrew T. Kuligowski |
source |
20 |
| SESUG |
2013 |
Macro Design Ideas: Theory, Template, Practice |
Ronald J. Fehd |
source |
21 |
| SESUG |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| SESUG |
2013 |
RUN_MACRO Run! With PROC FCMP and the RUN_MACRO Function from SAS 9.2, Your SAS Programs Are All Grown Up |
Dylan Ellis,
Mathematica Policy |
source |
10 |
| SESUG |
2013 |
SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples |
Patricia Rodríguez de Gil,
Jeanine L. Romano,
Thanh Pham,
Diep T. Nguyen,
Jeffrey D. Kromrey,
Eun Sook Kim |
source |
9 |
| SESUG |
2013 |
SAS Macros to Conduct Common Biostatistical Analyses and Generate Reports |
Dana Nickleach,
Yuan Liu,
Adam Shrewsberry,
Kenneth Ogan,
Sungjin Kim |
source |
8 |
| SESUG |
2013 |
Ten Things You Should Know About PROC FORMAT |
Ten Things |
source |
10 |
| SESUG |
2013 |
Using SAS to Examine Social Networking Difference between Faculty and Students |
Abbas S. Tavakoli,
Joan Culley,
Laura C. Hein,
Blake Frazier,
Amber Williams |
source |
11 |
| SESUG |
2013 |
Using the 7th edition American Joint Commission on Cancer (AJCC) |
Cancer Staging Manual |
source |
13 |
| PHUSE EU |
2013 |
Anatomy of an Epidemiology Study |
Paul Murray |
source
presentation source |
12 |
| PHUSE EU |
2013 |
Computation of Cls for Binomial Proportions in SAS and its Practical Difficulties |
Jose Abraham |
source
presentation source |
8 |
| PHUSE EU |
2013 |
EDC Integration [presentation] |
Rob Jongen |
source |
21 |
| PHUSE EU |
2013 |
Is your Library a Success: Manage & Measure Conformance Across Partners and Projects |
Lauren L. Shinaberry,
Bart Van Win |
source
presentation source |
4 |
| PHUSE EU |
2013 |
Mission Possible: Your Assignment is to Validate Output for a Study |
Susan Fehrer Coulson |
source
presentation source |
7 |
| PHUSE EU |
2013 |
My First QlikView Application "CTI" [presentation] |
Anthony Caudard |
source |
12 |
| PHUSE EU |
2013 |
Quick Checks for Quick Review |
Gauri Khatu |
source
presentation source |
11 |
| PHUSE EU |
2013 |
The AZ-PLM Nausea Study: A Novel Patient-Centric Collaboration |
Jim Weatherall,
Alderley Park |
source
presentation source |
10 |
| MWSUG |
2013 |
"How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important |
Arthur L. Carpenter |
|
20 |
| MWSUG |
2013 |
A Concise Display of Multiple Response Items |
Patrick Thornton |
|
7 |
| MWSUG |
2013 |
A Tutorial on PROC LOGISTIC |
Arthur X. Li |
|
19 |
| MWSUG |
2013 |
An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
|
15 |
| MWSUG |
2013 |
Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ |
Taylor Lewis |
|
20 |
| MWSUG |
2013 |
Building a Better Bar Chart with SAS Graph Template Language |
Perry Watts |
|
22 |
| MWSUG |
2013 |
Data Cleaning 101: An Analyst's Perspective |
Anca M Tilea,
Deanna Chyn |
|
5 |
| MWSUG |
2013 |
Data Review Information: N-Levels or Cardinality Ratio |
Ronald J. Fehd |
|
6 |
| MWSUG |
2013 |
Information Value Statistic |
Bruce S. Lund,
David Brotherton |
|
18 |
| MWSUG |
2013 |
Know Thy Data: Techniques for Data Exploration |
Andrew T. Kuligowski,
Charu Shankar |
|
20 |
| MWSUG |
2013 |
Life Imitates Art: ODS Output Data Sets that Look like Listing Output |
Dylan Ellis |
|
14 |
| MWSUG |
2013 |
Macro Design Ideas: Theory, Template, Practice |
Ronald J. Fehd |
|
21 |
| MWSUG |
2013 |
The Joinless Join; Expand the Power of SAS Enterprise Guide in a New Way |
Kent Phelps,
Ronda Phelps,
Kirk Paul Lafler |
|
25 |
| MWSUG |
2013 |
Using ODS PDF, Style Templates, Inline Styles, and PROC REPORT with SAS Macro Programs |
Patrick Thornton |
|
21 |
| NESUG |
2013 |
A Quick View of SAS Views |
Elizabeth Axelrod |
|
7 |
| NESUG |
2013 |
Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time |
Louise S. Hadden,
Terri Bright |
|
12 |
| NESUG |
2013 |
Constructing a Table of Survey Data with Percent and Confidence Interval in every Direction |
David Izrael,
Sarah Ball,
Sara Donahue |
|
7 |
| NESUG |
2013 |
Dealing with Duplicates |
Christopher J. Bost |
|
6 |
| NESUG |
2013 |
Dropping variables from a large SAS data set when all their values are missing |
Gwen Babcock |
|
13 |
| NESUG |
2013 |
Exploring the Relationship Between Mental Health and Risky Behaviors in American Youth Using PROC SURVEYFREQ and SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
|
9 |
| NESUG |
2013 |
How to create a report for multi-select variables in 4 steps |
Marlene Scott |
|
7 |
| NESUG |
2013 |
How to Handle Binomial Proportion with Zero Frequency |
Tulin Shekar |
|
11 |
| NESUG |
2013 |
I'm Going to Pop Some Tags: Using SAS CALL SOUND Routines |
Richard Dirmyer |
|
4 |
| NESUG |
2013 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| NESUG |
2013 |
Model Variable Selection Using Bootstrapped Decision Tree |
David J. Corliss |
|
8 |
| NESUG |
2013 |
Navigating the Data Universe Aboard the Starship Enterprise Guide |
Jayanth Iyengar,
Kirk Paul Lafler |
|
10 |
| NESUG |
2013 |
Proc SurveyCorr |
Jessica R. Hampton |
|
7 |
| NESUG |
2013 |
So Many Films, So Little Time |
Lisa Eckler |
|
9 |
| NESUG |
2013 |
Ten Things You Should Know About PROC FORMAT |
Jack N. Shoemaker |
|
5 |
| NESUG |
2013 |
The Ultimate Macro to Generate Summary Tables |
Lan Hu,
Xiaoqiang Wang |
|
12 |
| NESUG |
2013 |
Using SAS ODS Tagsets to Create Non-SAS User Friendly Reports |
Stuart Summers |
|
10 |
| NESUG |
2013 |
Using the SAS ODS Report Writing Interface to Produce Codebooks for Survey Data |
Nancy Cole,
Cassandra Baxter |
|
20 |
| PharmaSUG |
2013 |
"How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important |
Arthur L. Carpenter |
source |
20 |
| PharmaSUG |
2013 |
Adjusted proportion difference and confidence interval in stratified randomized trials |
Yeonhee Kim,
Seunghyun Won |
source |
8 |
| PharmaSUG |
2013 |
Coding For the Long Haul With Managed Metadata and Process Parameters |
Mike Molter |
source |
20 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly |
source |
19 |
| PharmaSUG |
2013 |
Creating a Clinical Summary Table within a Single DATA Step with the Dynamic Trio: DOSUBL(), Hash Objects, and ODS Objects |
Joseph W. Hinson |
source |
14 |
| PharmaSUG |
2013 |
Defensive Programming and Error-handling: The Path Less Travelled |
Tracy Sherman,
Angela S. Ringelberg |
source |
9 |
| PharmaSUG |
2013 |
Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization |
Jenna Colavincenzo |
source |
9 |
| PharmaSUG |
2013 |
Flags for Facilitating Statistical Analysis Using CDISC Analysis Data Model |
Chun Feng,
Xiaopeng Li,
Nancy Wang |
source |
6 |
| PharmaSUG |
2013 |
If 'standard code' is so great ... |
Brian P. Fairfield-Carter |
source |
12 |
| PharmaSUG |
2013 |
MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting |
Pamela J. Giese |
source |
10 |
| PharmaSUG |
2013 |
Mission Possible: Your Assignment is to Validate Output for a Study |
Susan Fehrer Coulson,
Kevin R. Coulson |
source |
7 |
| PharmaSUG |
2013 |
Obesity and Weight Cycling: Use SAS Software for Epidemiological Studies |
Marina Komaroff |
source |
12 |
| PharmaSUG |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| PharmaSUG |
2013 |
Practice of SMQs for Adverse Events in Analysis of Safety Data and Pharmacovigilance |
Gary Chen,
David Shen |
source |
11 |
| PharmaSUG |
2013 |
The Hash of Hashes as a "Russian Doll" Structure: Application to Clinical Adverse Events Data Analysis |
Joseph W. Hinson |
source |
12 |
| PharmaSUG |
2013 |
There's Nothing ODiouS about ODS |
Aaron J. Rabushka |
source |
7 |
| PharmaSUG |
2013 |
When Asked for Subject Incidences, Go Ahead and FREQ OUT |
Rod Norman |
source |
8 |
| SGF |
2013 |
"How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important |
Arthur L. Carpenter |
source |
19 |
| SGF |
2013 |
A Concise Display of Multiple Response Items |
Patrick Thornton |
source |
7 |
| SGF |
2013 |
A Flock of C-Stats, or Efficiently Computing Multiple Statistics for Hundreds of Variables |
Bruce S. Lund,
Steven Raimi |
source |
11 |
| SGF |
2013 |
A Tale of Two SAS Technologies: Generating Maps of Topical Coverage and Linkages in SAS User Conference Papers |
Barry deVille,
Denise Bedford,
Richard W. La Valley |
source |
21 |
| SGF |
2013 |
Analysis of Change in Sentiments towards Chick-fil-A after Dan Cathy?s Statement about Same-Sex Marriage Using SAS Text Miner and SAS Sentiment Analysis Studio View Paper View Poster |
Goutam Chakraborty,
Jeffin Jacob,
Swati Grover |
source
pdf |
12 |
| SGF |
2013 |
Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time |
Louise S. Hadden,
Terri Bright |
source
pdf |
12 |
| SGF |
2013 |
Be Customer Wise or Otherwise: Combining Data Mining and Interactive Visual Analytics to Analyze Large and Complex Customer Resource Management (CRM) Data |
Aditya Misra,
Junyao Ji,
Kam Tin Seong |
source |
11 |
| SGF |
2013 |
Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD |
David M. Thompson,
Jessica Hale,
Paul Darden |
source
pdf |
7 |
| SGF |
2013 |
Checking Out Your Dates with SAS |
Christopher J. Bost |
source |
5 |
| SGF |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2013 |
Converting Thousands of Variables from Character to Numeric: The One-Hour Fix |
Kamya Khanna,
Wen Song |
source |
6 |
| SGF |
2013 |
Cool Views |
Elizabeth Axelrod |
source |
7 |
| SGF |
2013 |
Creating a Management-Friendly HTML Report Using SAS ODS Markup, Style Sheets, and JavaScript |
Robert Mann,
Rosely Flam Zalcman |
source
pdf |
4 |
| SGF |
2013 |
Data Fitness: A SAS Macro-based Application for Data Quality of Large Health Administrative Data |
Mahmoud Azimaee |
source |
12 |
| SGF |
2013 |
Data Review Information: N-Levels or Cardinality Ratio |
Ronald J. Fehd |
source |
6 |
| SGF |
2013 |
Dealing with Duplicates |
Christopher J. Bost |
source |
5 |
| 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,
Patricia Rodríguez de Gil,
Yi-Hsin Chen |
source |
12 |
| SGF |
2013 |
Do People Still Miss Steve Jobs As the CEO of Apple Inc.? A Text Mining Approach: Comparing SAS and R |
Anurag G. Srivastava,
Pranav Karnavat |
source
pdf |
18 |
| SGF |
2013 |
Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization |
Jenna Colavincenzo |
source |
9 |
| SGF |
2013 |
Exploring Health Trends and Risk Behavior Analysis in American Youth Using PROC SURVEYFREQ and PROC SURVEYLOGISTIC |
Deanna Naomi Schreiber-Gregory |
source |
11 |
| SGF |
2013 |
Feature Extraction and Rating of a Smartphone Photosharing Application Using SAS Sentiment Analysis Studio |
Anil Kumar Pantangi,
Goutam Chakraborty,
Sahithi Ravuri,
Siddhartha Reddy Mandati |
source
pdf |
10 |
| SGF |
2013 |
Feature-Based Sentiment Analysis on Android App Reviews Using SAS Text Miner and SAS Sentiment Analysis Studio |
Goutam Chakraborty,
Jiawen Liu,
Mantosh Kumar Sarkar |
source
pdf |
7 |
| SGF |
2013 |
Finally, a Tool for Business Users! A Step-By-Step Practical Approach to Pharma Sales Reporting Using SAS Enterprise Guide 4.3 |
Airaha Chelvakkanthan Manickam,
Ramya Purushothaman |
source |
18 |
| SGF |
2013 |
For All the Hats You Wear: SAS Enterprise Guide Has Got You Covered |
Chris Hemedinger |
source |
8 |
| SGF |
2013 |
FREQ Out - Exploring Your Data the Old School Way |
Stephanie R. Thompson |
source |
13 |
| SGF |
2013 |
Go Mobile with the ODS EPUB Destination |
David W. Kelley,
Ed Summers,
Julianna Langston |
source |
23 |
| SGF |
2013 |
Horizontal Data Sorting and Insightful Reporting: A Useful SAS Technique |
Amanda Lin,
Justin Jia |
source |
14 |
| SGF |
2013 |
Investigating the Impact of Amazon Kindle Fire HD 7? on Amazon.com Consumers Using SAS Text Miner and SAS Sentiment Analysis View Paper View Poster |
Goutam Chakraborty,
Hari Hara Sudhan Duraidhayalu,
Srihari Nagarajan |
source
pdf |
14 |
| SGF |
2013 |
Know Thy Data: Techniques for Data Exploration |
Andrew T. Kuligowski,
Charu Shankar |
source |
19 |
| SGF |
2013 |
Patient Profile Graphs Using SAS |
Sanjay N. Matange |
source |
14 |
| SGF |
2013 |
Predicting Application Review Rating with SAS Text Miner |
Jonghyun Kim,
Tianxi Dong,
Zhangxi Lin |
source
pdf |
8 |
| SGF |
2013 |
Product Affinity Segmentation That Uses the Doughnut Clustering Approach |
Darius S. Baer,
Goutam Chakraborty |
source |
17 |
| SGF |
2013 |
Relate, Retain, and Remodel: Creating and Using Context-Sensitive Linguistic Features in Text Mining Models |
Janardhana Punuru,
Lane Surratt,
Russell Albright |
source |
17 |
| SGF |
2013 |
Replacing Manual Coding of Customer Survey Comments with Text Mining: A Story of Discovery with Textual Data in the Public Sector |
Jared Prins |
source |
19 |
| SGF |
2013 |
RUN_MACRO Run! With PROC FCMP and the RUN_MACRO Function from SAS 9.2, Your SAS Programs Are All Grown Up |
Dylan Ellis |
source |
10 |
| SGF |
2013 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
source |
38 |
| SGF |
2013 |
SAS Enterprise Guide - Implementation Hints and Techniques for Insuring Success with Traditional SAS Programmers |
Roger D. Muller |
source |
11 |
| SGF |
2013 |
SAS Essentials: Maximize the Efficiency of Your Most Basic Users |
Julie Kezik,
Melissa Hill |
source
pdf |
12 |
| SGF |
2013 |
SAS Stored Processes Logging |
Bhargav Achanta |
source
pdf |
9 |
| SGF |
2013 |
SASY Codes for Lazy people |
Prashanthi Selvakumar |
source |
5 |
| SGF |
2013 |
Segmentation and Classification Analysis Using SAS |
Rachel Poulsen |
source |
14 |
| SGF |
2013 |
So Many Films, So Little Time |
Lisa Eckler |
source
pdf |
9 |
| SGF |
2013 |
Some Useful Utilities on UNIX Platform |
Kevin Chung |
source |
12 |
| SGF |
2013 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
12 |
| SGF |
2013 |
The Concepts and Practice of Analysis with SAS Enterprise Guide |
Christopher W. Schacherer |
source |
48 |
| SGF |
2013 |
Tips for Generating Percentages Using the SAS TABULATE Procedure |
Kathryn McLawhorn |
source |
13 |
| SGF |
2013 |
Using SAS to Create Code for Current Triage Systems during Chemical Incidents |
Abbas S. Tavakoli,
Erik Svendsen,
Jean Craig,
Joan Culley |
source
pdf |
12 |
| SGF |
2013 |
Using SAS to Measure Airport Connectivity: An Analysis of Airport Centrality in the US Network with SAS/IML Studio |
Augusto Voltes-Dorta,
Hector Rodriguez-Deniz,
Pere Suau-Sanchez |
source |
14 |
| NESUG |
2012 |
A Breeze through SAS Options to Enter a Zero-Filled Row |
Kajal Tahiliani |
|
6 |
| NESUG |
2012 |
An Efficient Method to Create a Large and Comprehensive Codebook |
Wen Song,
Kamya Khanna,
Baibai Chen |
|
7 |
| NESUG |
2012 |
Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time |
Louise S. Hadden,
Terri Bright |
|
12 |
| NESUG |
2012 |
Checking Out Your Dates with SAS |
Christopher J. Bost |
|
6 |
| NESUG |
2012 |
Dynamic Data Processing Using Data-Driven Formats and Informats |
Jedediah J. Teres |
|
9 |
| NESUG |
2012 |
Efficiently Screening Predictor Variables for Logistic Models |
Steven Raimi,
Bruce S. Lund |
|
13 |
| NESUG |
2012 |
Generating Estimates for U.S. Healthcare Costs and Use |
Paul Gorrell |
|
18 |
| NESUG |
2012 |
Implementing and Interpreting Canonical Correspondence Analysis in SAS |
Laxman Hegde |
|
10 |
| NESUG |
2012 |
Introduction to Statistics with Wavelets in SAS |
David J. Corliss |
|
11 |
| NESUG |
2012 |
Loading Metadata to the IRS Compliance Data Warehouse (CDW) Website: From Spreadsheet to Database Using SAS Macros and PROC SQL |
Robin Rappaport,
Jeffrey S. Butler |
|
7 |
| NESUG |
2012 |
Multitasking with Nested Formats |
Jonathan Kerman |
|
5 |
| NESUG |
2012 |
Pharma Sales Reporting Using SAS Enterprise Guide 4.3 - A Step-by-Step Practical Approach |
Airaha Chelvakkanthan Manickam,
Ramya Purushothaman |
|
18 |
| NESUG |
2012 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
|
32 |
| NESUG |
2012 |
Simple Statistical Programming: Preventing Errors When Creating Output Datasets Containing Statistical Test Results for McNemar's Test |
Stephen Bosch |
|
10 |
| NESUG |
2012 |
Using Axes Options to Stretch the Limits of SAS/GRAPH Template Language |
Perry Watts |
|
20 |
| NESUG |
2012 |
Using SAS GTL with 9.3 Updates to Visualize Data When There is Too Much of it to Visualize |
Perry Watts,
Nathaniel Derby |
|
20 |
| NESUG |
2012 |
Yes, No, Maybe So: Tips and Tricks for Using 0/1 Binary Variables |
Laurie Hamilton |
|
6 |
| SCSUG |
2012 |
Basic SAS PROCedures for Producing Quick Results |
Kirk Paul Lafler |
source |
17 |
| SCSUG |
2012 |
Dirty Data? Clean it up with SAS. |
Gabriela Cantu |
source |
11 |
| SCSUG |
2012 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
source |
38 |
| PHUSE EU |
2012 |
Bootstrap simulations to estimate Overall Survival based on the distribution of a historical control |
Antonio Nieto,
Javier Gómez |
source
presentation source |
7 |
| PHUSE EU |
2012 |
JMP Clinical 4.0 [presentation] |
Valérie Nedbal |
source |
45 |
| PHUSE EU |
2012 |
Programming Challenges of Sampling Controls to Cases from the Dynamic Risk Sets in Nested Case Control Studies |
Victor Kiri |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Risk-Benefit Analysis for Oncology Clinical Trials |
Lovemore Gakava,
Waseem Jugon |
source
poster source |
8 |
| PHUSE EU |
2012 |
The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 |
Lawrence Rasouliyan |
source
presentation source |
16 |
| PHUSE EU |
2012 |
Training Statistical Programmers on SAP Review Skills |
Sascha Ahrweiler |
source
presentation source |
7 |
| SESUG |
2012 |
A Standard SAS Program for Corroborating OpenCDISC Error Messages |
John R. Gerlach |
source |
11 |
| SESUG |
2012 |
Creating a Heatmap Visualization of 150 Million GPS Points on Roadway Maps via SAS |
Shih-Ching Wu |
source |
9 |
| SESUG |
2012 |
CT-30 Beyond "If then"-- Three Techniques for Cleaning Character Variables from Write-in Questions |
Yusheng Zhai,
Ryan Diver,
Xia Lin |
source |
8 |
| SESUG |
2012 |
Display, Group or Order: Using Proc Report to Create Clinical Trials Outputs |
Sally Walczak |
source |
8 |
| SESUG |
2012 |
Do You Have Too Much Class? |
Janet Willis |
source |
6 |
| SESUG |
2012 |
FREQ Out - Exploring Your Data the Old School Way |
Stephanie R. Thompson |
source |
13 |
| SESUG |
2012 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
14 |
| SESUG |
2012 |
ODS Output Data Sets That Work for You |
Stuart D. Long,
Edward Heaton,
Daniel R. Scharf |
source |
29 |
| SESUG |
2012 |
Pulling Data from Ellucian-Banner ODS with SAS-EG: Not only fast but fun as well! |
Claudia W. McCann |
source |
13 |
| SESUG |
2012 |
Reducing Big Data to Manageable Proportions |
Sigurd W. Hermansen |
source |
7 |
| SESUG |
2012 |
Using Axes Options to Stretch the Limits of SAS/GRAPH Template Language |
Perry Watts,
>>>> |
source |
20 |
| SESUG |
2012 |
Using Macro to simplify to Calculate Multi-Rater Observation Agreement |
Abbas S. Tavakoli,
Richard Walker |
source |
11 |
| MWSUG |
2012 |
A SAS Solution to Create a Weekly Format |
Susan Bakken |
|
9 |
| MWSUG |
2012 |
Base-SAS PROCedures for Quick Results |
Kirk Paul Lafler |
|
17 |
| MWSUG |
2012 |
Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding |
Bruce S. Lund,
Steven Raimi |
|
13 |
| MWSUG |
2012 |
Creating a SAS Frequency Data Set of Valid Categorical Variables for Export to Microsoft Excel or Access |
Neil Kamdar |
|
7 |
| MWSUG |
2012 |
Get SASsy with PROC SQL |
Amie Bissonett |
|
12 |
| MWSUG |
2012 |
Getting the Code Right the First Time |
Michael C. Frick |
|
11 |
| MWSUG |
2012 |
Models for Ordinal Response Data |
Robin High |
|
11 |
| MWSUG |
2012 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
|
15 |
| MWSUG |
2012 |
Random assignment of proxy event dates to unexposed individuals in observational studies: An automated technique using SAS |
Raymond Harvey,
Dana Drzayich Jankus,
David Mosley |
|
8 |
| MWSUG |
2012 |
Reproducible Research Two Ways: SASweave vs. StatRep |
Shannon M. Morrison,
Matthew T. Karafa |
|
16 |
| MWSUG |
2012 |
ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study |
Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones |
|
10 |
| MWSUG |
2012 |
SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets |
Christopher W. Schacherer |
|
38 |
| MWSUG |
2012 |
Swimming with Sharks: Using Formats with Summary Data |
Tom Bugg |
|
8 |
| MWSUG |
2012 |
Use of SAS to determine broiler chick feed color preference in correlation with performance under different housing light colors |
Nichole Graham |
|
4 |
| WUSS |
2012 |
44 Tricks with the Format Procedure |
Ben Cochran |
source |
7 |
| WUSS |
2012 |
A Concise Display of Multiple Response Items |
Patrick Thornton |
source |
5 |
| WUSS |
2012 |
An Efficient Method to Create a Large and Comprehensive Codebook |
Wen Song,
Baibai Chen |
source |
7 |
| WUSS |
2012 |
Basic SAS PROCedures for Producing Quick Results |
Kirk Paul Lafler |
source |
17 |
| WUSS |
2012 |
Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else |
AnnMaria De Mars,
Chelsea Heaven |
source |
20 |
| WUSS |
2012 |
Composite Indices for Health Outcomes in Epidemiologic Studies: Multi-dimensional Coding Using SAS |
Nadia Chung,
Huiyan Ma,
Jenna Voutsinas,
Leslie Bernstein,
Sophia Wang,
James Lacey |
source |
7 |
| WUSS |
2012 |
Dynamically Determine Treatment Populations and Denominators |
Ruth Johnson |
source |
10 |
| WUSS |
2012 |
Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData |
Rachel Poulsen |
source |
14 |
| WUSS |
2012 |
PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table |
Wuchen Zhao |
source |
11 |
| WUSS |
2012 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
source |
15 |
| WUSS |
2012 |
SAS Programming Basics: Producing Results from Your Data |
Helen D. Carey |
source |
16 |
| WUSS |
2012 |
SAS Rule-Based Codebook Generation for Exploratory Data Analysis |
Ross Bettinger |
source |
8 |
| WUSS |
2012 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| WUSS |
2012 |
Using ODS PDF, Style Templates, Inline Styles, and PROC REPORT with SAS Macro Programs |
Patrick Thornton |
source |
21 |
| WUSS |
2012 |
Visualizing Data Techniques, Including Autocharting and Big Data |
Justin Choy |
source |
12 |
| WUSS |
2012 |
Weighting Adjustment Methods for Nonresponse in Surveys |
Taylor Lewis |
source |
15 |
| PharmaSUG CN |
2012 |
SAS Data Query and Edit Checks with HTML5 |
Sy J. Truong |
pptx |
17 |
| PharmaSUG |
2012 |
A Standard SAS Program for Corroborating OpenCDISC Error Messages |
John R. Gerlach,
Ganesh Sankaran Thangavel |
source |
12 |
| PharmaSUG |
2012 |
An Efficient Method to Create Titles for Multiple Clinical Reports Using Proc Format within A Do Loop |
Youying Yu |
source |
5 |
| PharmaSUG |
2012 |
Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment |
Beeya Na,
Eric P. Elkin |
source |
5 |
| PharmaSUG |
2012 |
Considerations in the Submission of Exposure Data in an SDTM-Compliant Format |
Fred Wood,
Jerry Salyers,
Richard Lewis |
source |
4 |
| PharmaSUG |
2012 |
Considerations in the Submission of Pharmacokinetics (PK) Data in an SDTM-Compliant Format |
Fred Wood,
Peter Schaefer,
Richard Lewis |
source |
8 |
| PharmaSUG |
2012 |
Estimating Risk in the Presence of Unreported Zeros in the Data |
Brandon Fleming |
source |
7 |
| PharmaSUG |
2012 |
EXACTing a Price: Compute Fisher-s Exact Test P-values Only When Needed |
Robert D. Abelson |
source |
6 |
| PharmaSUG |
2012 |
Experience of Generating an XML file and Uploading Serious and Frequent Adverse Events to ClinicalTrials.gov |
Juan Wu,
Min Lai |
source |
9 |
| PharmaSUG |
2012 |
Get SASsy with PROC SQL |
Amie Bissonett |
source |
12 |
| PharmaSUG |
2012 |
Leverage SAS/Genetics Package to perform Biomarker Drug Response Analysis on Pharmacogenomic Data |
Deepali Gupta,
Shirish Nalavade |
source |
8 |
| PharmaSUG |
2012 |
One Macro Call to a Table with both Frequency and Summary Elements from a Subject-Level Dataset |
Wayne (Weizhen) Zhong |
source |
9 |
| PharmaSUG |
2012 |
Programming With CLASS: Keeping Your Options Open |
Arthur L. Carpenter |
source |
15 |
| PharmaSUG |
2012 |
SAS Data Query and Edit Checks with HTML5 |
Sy J. Truong,
Ale Gicqueau |
source |
17 |
| PharmaSUG |
2012 |
Short-circuiting PROC COMPARE: Techniques for Focusing Dataset Comparisons |
Tracy Sherman,
Brian P. Fairfield-Carter |
source |
8 |
| PharmaSUG |
2012 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
23 |
| PharmaSUG |
2012 |
Taming the Box Plot |
Sanjiv Ramalingam |
source |
7 |
| SGF |
2012 |
A Simple Yet Effective Way to Perform a Variable Cross Walk Between Multiple Data Sets |
Binh C. Le,
Huong T. Pham |
source |
7 |
| SGF |
2012 |
A Standard SAS Program for Corroborating OpenCDISC Error Messages |
John R. Gerlach,
Ganesh Sankaran Thangavel |
source |
12 |
| SGF |
2012 |
Adding Count as a Data Label in a Scatter Plot |
Suneetha Puttabasavaiah |
source |
4 |
| SGF |
2012 |
An Automatic Approach to Creating a Data Dictionary in SharePoint Using SAS |
Kevin Chung |
source |
17 |
| SGF |
2012 |
Analyzing Sentiments in Tweets about Wal-Marts Gender Discrimination Lawsuit Verdict Using SAS Text Miner |
Hari Hara Sudhan Duraidhayalu,
Satish Garla,
Goutam Chakraborty |
source |
8 |
| SGF |
2012 |
Calculating Multi-Rater Observation Agreement in Health Care Research Using the SAS Kappa Statistic |
Abbas S. Tavakoli,
Bo Cai,
Rita Snyder,
Nathan Huynh |
source |
11 |
| SGF |
2012 |
Community Detection to Identify Fraud Events in Telecommunications Networks |
Carlos Andre R. Pinheiro |
source |
8 |
| SGF |
2012 |
Creating the Perfect Plot with PROCs EXPAND and SGPLOT: The Dynamic Duo of Time Series Display |
Andrew H. Karp |
source |
2 |
| SGF |
2012 |
CSI: Customer Segmentation Intelligence for Increasing Profits |
Darius S. Baer |
source |
13 |
| SGF |
2012 |
Deep Dive into the PIM and DDI Data |
Michelle Hopkins |
source |
18 |
| SGF |
2012 |
Dickens vs. Hemingway: Text Analysis and Readability Statistics in Base SAS |
Jessica R. Hampton |
source |
8 |
| SGF |
2012 |
Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics |
Patricia A. Berglund |
source |
20 |
| SGF |
2012 |
Essential SAS ODS PDF |
Patrick Thornton |
source |
10 |
| SGF |
2012 |
Ethnicity and Race: When Your Output Isn't What You Expected |
Philamer M. Atienza |
source |
5 |
| SGF |
2012 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
20 |
| SGF |
2012 |
Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX |
Philippe Baecke,
Dirk Van den Poel |
source |
11 |
| SGF |
2012 |
Increase your OUTPUT with PROC MEANS and PROC FREQ |
Julie Kezik,
Melissa Hill |
source |
7 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Knowledge (of Your Missing Data) Is Power: Handling Missing Values in Your SAS Data Set |
Theresa Schwartz,
Rachel Zeig-Owens |
source |
8 |
| SGF |
2012 |
Let Oil and Gas Talk to You: Predicting Production Performance |
Keith R. Holdaway |
source |
12 |
| SGF |
2012 |
Mix and Match: Diversity in Displaying Data |
Melissa Hill,
Julie Kezik |
source |
12 |
| SGF |
2012 |
My Friend the SAS Format |
Andrew H. Karp |
source |
12 |
| SGF |
2012 |
SAS Enterprise Guide with SAS On-Demand for Academics: Everything You Need to Know After ""It's Free"" |
AnnMaria De Mars |
source |
20 |
| SGF |
2012 |
SAS Since 1976: An Application of Text Mining to Reveal Trends |
Zubair Shaik,
Satish Garla,
Goutam Chakraborty |
source |
10 |
| SGF |
2012 |
Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures |
Varma Nadimpalli,
Katie A. Hubbell |
source |
14 |
| SGF |
2012 |
Trend Analysis: An Automated Data Quality Approach for Large Health Administrative Databases |
Mahmoud Azimaee |
source |
9 |
| SGF |
2012 |
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles |
Ling Huang |
source |
7 |
| SGF |
2012 |
Using SAS for the Design, Analysis, and Visualization of Complex Surveys |
Sharon Lohr |
source |
15 |
| SGF |
2012 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Perry Watts,
Nathaniel Derby |
source |
21 |
| SGF |
2012 |
Wheres the LISTING Window? Using the New Results Viewer in SAS 9.3 |
Cynthia L. Zender |
source |
38 |
| SCSUG |
2011 |
At Random - Sampling with PROC SURVEYSELECT |
Patricia Hettinger |
source |
15 |
| SCSUG |
2011 |
Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures |
Kathryn McLawhorn |
source |
12 |
| SCSUG |
2011 |
Ethnicity and Race: When Your Output Isn't What You Expected |
Philamer M. Atienza |
source |
5 |
| SCSUG |
2011 |
Exploring trends in topics via Text Mining SUGI/Global Forum proceedings abstracts |
Zubair Shaik |
source |
11 |
| SCSUG |
2011 |
Intro to Longitudinal Data: A Grad Student "How-To" Paper |
Elisa L. Priest |
source |
14 |
| SCSUG |
2011 |
PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? |
Hemalkumar Mehta |
source |
14 |
| SCSUG |
2011 |
You Can't Get There From Here If You Don't Know Where Here Is. Improving the SAS Enterprise Guide Data Characterization Task |
Patricia Hettinger |
source |
16 |
| SESUG |
2011 |
A Coding Practice for Preparing Adaptive Multistage Testing |
Yung-Chen Hsu |
source |
6 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| SESUG |
2011 |
Analysis of Complex Survey Data |
Varma Nadimpalli |
source |
12 |
| SESUG |
2011 |
Categorizing the Degradation State of Aircraft Generators using Rank Order Statistics and SAS CLUSTER Procedure |
Tsung-Hsun Tsai |
source |
6 |
| SESUG |
2011 |
Counting the Ways to Count in SAS |
Imelda C. Go |
source |
12 |
| SESUG |
2011 |
Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data |
Eye Tracking |
source |
11 |
| SESUG |
2011 |
Introduction to ODS Graphics for the Non-Statistician |
Mike Kalt,
Cynthia L. Zender |
source |
28 |
| SESUG |
2011 |
JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research |
Melvin T. Alexander |
source |
18 |
| SESUG |
2011 |
Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File |
Bari Lawhorn |
source |
18 |
| SESUG |
2011 |
Loading Metadata to the IRS Research Compliance Data Warehouse (CDW) Website: From Excel Spreadsheet to SQL Server Relational Database Using SAS Macro and PROC SQL |
Robin Rappaport,
Jeffrey S. Butler |
source |
7 |
| SESUG |
2011 |
Macros for Two-Sample Hypothesis Tests |
Jinson J. Erinjeri,
D.K. Shifflet |
source |
7 |
| SESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen |
source |
20 |
| SESUG |
2011 |
Practical Approaches to Counting in SAS: How to Get Started When You Don't Know Where to Begin |
Sharon Avrunin-Becker |
source |
5 |
| SESUG |
2011 |
Resolving OpenCDISC Error Messages Using SAS |
John R. Gerlach |
source |
11 |
| SESUG |
2011 |
Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD |
Jonathan Steinberg,
Tim Moses |
source |
7 |
| SESUG |
2011 |
The SAS Magical Dictionary Tour |
Linda Libeg |
source |
12 |
| SESUG |
2011 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Perry Watts,
>>>> |
source |
22 |
| SESUG |
2011 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Perry Watts,
>>>> |
source |
22 |
| WUSS |
2011 |
%GetTweet: A New SAS Macro to Fetch and Summarize Tweets |
Satish Garla |
source |
12 |
| WUSS |
2011 |
Beyond Breslow-Day: Homogeneity Across R x C Tables |
Ginny Lai |
source |
7 |
| WUSS |
2011 |
Boost your confidence in a 2x2 standard table |
Iuliana Barbalau |
source |
8 |
| WUSS |
2011 |
ChiD, A Chi-2 - Based Discretization Algorithm |
Ross Bettinger |
source |
9 |
| WUSS |
2011 |
Effects of Timing of Surgery in Children with Ureteropelvic Junction Obstruction: A Pediatric Health Information System (PHIS) Database Study using SAS |
Andrea Masias |
source |
8 |
| WUSS |
2011 |
Getting Freqy with PROC REPORT |
Ethan Miller |
source |
10 |
| WUSS |
2011 |
Introduction to SAS Programming |
Lily Xu |
source |
10 |
| WUSS |
2011 |
JMP Scripting: Advanced Techniques |
Erin Vang |
source |
12 |
| WUSS |
2011 |
Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File |
Bari Lawhorn |
source |
18 |
| WUSS |
2011 |
Linkage of hospitalization records with time series data to define chronic disease events in a prospective epidemiologic study |
Nadia Chung |
source |
10 |
| WUSS |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
source |
20 |
| WUSS |
2011 |
Probabilistic Record Linkage in SAS |
Glenn Wright |
source |
13 |
| WUSS |
2011 |
Producing Cumulative Distribution Frequency Figures with Minimal Important Difference Reference Lines to Assess Quality of Life Treatment Effects |
Xiao Liu |
source |
7 |
| WUSS |
2011 |
SAS Data Query and Edit Checks Web 2.0 |
Sy J. Truong |
source |
15 |
| WUSS |
2011 |
SAS Essentials I: SAS Functions for a Better Functioning Community |
AnnMaria De Mars |
source |
15 |
| WUSS |
2011 |
SAS Essentials II: Better-Looking SAS for a Better Community |
AnnMaria De Mars |
source |
17 |
| WUSS |
2011 |
SAS Essentials III: Statistics for Hamsters |
AnnMaria De Mars |
source |
18 |
| WUSS |
2011 |
SAS since 1976 |
Zubair Shaik |
source |
10 |
| WUSS |
2011 |
SAS Style Templates: Always in Fashion |
Cynthia L. Zender |
source |
22 |
| WUSS |
2011 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
23 |
| WUSS |
2011 |
Tips and Techniques for the SAS Programmer |
Helen D. Carey |
source |
19 |
| WUSS |
2011 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| WUSS |
2011 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Nathaniel Derby |
source |
22 |
| PHUSE EU |
2011 |
An Animated Guide: An Introduction to Latent Class Clustering in SAS |
Russell M. Lavery |
source |
19 |
| PHUSE EU |
2011 |
Comparing dataset metadata |
Jim Groeneveld |
source
presentation source |
8 |
| PHUSE EU |
2011 |
Ensuring Compliant and Consistent Data Mappings for SDTM-based Studies - an ICON Approach |
Jennie McGuirk,
Steven Thacker |
source
presentation source |
16 |
| PHUSE EU |
2011 |
Training Statistical Programmers on SAP Review Skills |
Sascha Ahrweiler |
source
presentation source |
7 |
| MWSUG |
2011 |
A Lazy Programmer's Macro for Descriptive Statistics' Tables |
Matthew C. Fenchel,
Gary L. McPhail,
Rhonda D. VanDyke |
|
11 |
| MWSUG |
2011 |
Annotate your SG Procedure Graphs |
Mekhala Acharya |
|
8 |
| MWSUG |
2011 |
Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors |
Steven Raimi,
Bruce S. Lund |
|
18 |
| MWSUG |
2011 |
Building a Data-Driven Computer Assisted Interview Using SAS/AF |
Derek P. Morgan |
|
29 |
| MWSUG |
2011 |
Data Quality Review for Missing Values and Outliers |
Ying Guo,
Bradford J. Danner |
|
9 |
| MWSUG |
2011 |
Date/Time Issues with SAS: What to do if there is No Error |
Diahn L. Allen |
|
3 |
| MWSUG |
2011 |
Dealing with Duplicates in Your Data |
Joshua M. Horstman,
Roger D. Muller |
|
7 |
| MWSUG |
2011 |
Deep Dive into the PIM and DDI Data |
Michelle Hopkins |
|
20 |
| MWSUG |
2011 |
ETL Anatomy 101 |
Thomas A. Miron |
|
7 |
| MWSUG |
2011 |
Introducing SAS Structural Equation Modeling for JMP: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
|
18 |
| MWSUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen,
Ying So |
|
20 |
| MWSUG |
2011 |
Summary Statistics in Rows |
John Henry King |
|
15 |
| MWSUG |
2011 |
Taming the Interactive SAS Environment: Tips and Tricks for VIEWTABLE, The Enhanced Editor and More |
Roger D. Muller,
Joshua M. Horstman |
|
12 |
| MWSUG |
2011 |
Techniques for Creating Annotated 2D and 3D Pie Charts |
Erika Kelly |
|
6 |
| MWSUG |
2011 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Perry Watts,
Nathaniel Derby |
|
22 |
| NESUG |
2011 |
A Practical and Efficient Approach in Generating AE (Adverse Events) Reports Within a Clinical Study Environment |
Jiannan Hu |
|
8 |
| NESUG |
2011 |
A View Toward Performance |
Edward Heaton |
|
8 |
| NESUG |
2011 |
An Animated Guide: An Introduction to Latent Class Clustering in SAS |
Russell M. Lavery |
|
16 |
| NESUG |
2011 |
An Easy Route to a Missing Data Report with ODS + PROC FREQ + A Data Step |
Michael S. Zdeb |
|
10 |
| NESUG |
2011 |
Building Provider Panels: An Application for the Hash of Hashes |
Judy Loren,
Richard A. DeVenezia |
|
9 |
| NESUG |
2011 |
Don't Lose Your Data! Tracking and Reporting on Dropped Records |
Quentin McMullen,
Joshua Black |
|
9 |
| NESUG |
2011 |
Glorified PROC CONTENTS for Secondary Source Data |
Bruce Thomas |
|
15 |
| NESUG |
2011 |
Life in the FASTCLUS: A Data-Driven Approach to Classifying Time Intervals |
Jedediah J. Teres |
|
4 |
| NESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
|
20 |
| NESUG |
2011 |
PROC FORMAT - Not Just Another Pretty Face |
Lois Levin |
|
13 |
| NESUG |
2011 |
Promoting Data-Driven Techniques |
Haibin Shu |
|
3 |
| NESUG |
2011 |
Repeating Statistics Tables - Building A Macro that Dynamically Organizes and Formats |
Wayne (Weizhen) Zhong |
|
6 |
| NESUG |
2011 |
SAS Procedures as UNIX Commands |
Sriharsha Rachabattula |
|
7 |
| NESUG |
2011 |
SAS Style Templates: Always in Fashion |
Cynthia L. Zender |
|
22 |
| NESUG |
2011 |
The Application of SAS Hash Oblect to Ultra-high Frehuency Financial Data: A Case Study in Limit Order Book Reconstruction |
Dorian M. Noel |
|
10 |
| NESUG |
2011 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
|
9 |
| NESUG |
2011 |
Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize |
Perry Watts,
Nathaniel Derby |
|
22 |
| NESUG |
2011 |
Viva la Resolucion! 5 Things You Should Know About Macro Resolution |
Daniel R. Bretheim |
|
8 |
| NESUG |
2011 |
Why Programming Efficiency Should Matter to All of Us |
John J. Cohen |
|
15 |
| PharmaSUG |
2011 |
Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures |
Kathryn McLawhorn |
source |
12 |
| PharmaSUG |
2011 |
Data Quality Review for Missing Values and Outliers |
Ying Guo,
Bradford J. Danner |
source |
8 |
| PharmaSUG |
2011 |
Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach |
Annie S. Guo |
source |
12 |
| PharmaSUG |
2011 |
Evaluating Safety Signals in Clinical Trials: the Dirichlet-NBD Model Implementation with SAS |
Yuqin Li,
Xiaohai Wan |
source |
7 |
| PharmaSUG |
2011 |
FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS |
Sandeep Sawant,
Nehan Mohan |
source |
5 |
| PharmaSUG |
2011 |
Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding |
Manojkumar B Agravat |
source |
44 |
| PharmaSUG |
2011 |
Keeping Patients on Schedule, The Art of Visit Windows and Cycle Slotting |
Paul K. Slagle |
source |
4 |
| PharmaSUG |
2011 |
Macro to Generate Summary and Descriptive Statistics Tables |
Yogesh Pande |
source |
6 |
| PharmaSUG |
2011 |
Macros to Help You Clean Up! |
Kavitha Madduri |
source |
7 |
| PharmaSUG |
2011 |
Resolving OpenCDISC Error Messages Using SAS |
Virginia Redner,
John R. Gerlach |
source |
10 |
| PharmaSUG |
2011 |
Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS |
Dongsun Cao,
Xiaomin He |
source |
12 |
| PharmaSUG |
2011 |
Truncation, Variable Association, Controlled Terminology, and Some Other Pitfalls in the SDTM Mapping Process |
Na Li,
Gary de Jesus,
Daniel Bonzo |
source |
8 |
| PharmaSUG |
2011 |
Using a HASH Table to Reference Variables in an Array by Name |
John Henry King |
source |
9 |
| PharmaSUG |
2011 |
Validating Controlled Terminology in SDTM Domains |
John R. Gerlach |
source |
12 |
| SGF |
2011 |
%GetTweet: A New SAS Macro to Fetch and Summarize Tweets |
Satish Garla,
Goutam Chakraborty |
source |
12 |
| SGF |
2011 |
A Better Characterization Routine |
Patricia Hettinger |
source |
11 |
| SGF |
2011 |
A Side of Hash for You to Dig Into |
Shan A. Rasul |
source |
7 |
| SGF |
2011 |
Add Style to ODS Output by Stretching Your Inheritance in SAS 9.2 |
Perry Watts |
source |
21 |
| SGF |
2011 |
BASE SAS Implementation of Information Theoretic Feature Selection for Neural Networks |
Martin B. Jetton |
source |
13 |
| SGF |
2011 |
Building Provider Panels: An Application for the Hash of Hashes |
Judy Loren,
Richard A. DeVenezia |
source |
9 |
| SGF |
2011 |
Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures |
Kathryn McLawhorn |
source |
12 |
| SGF |
2011 |
Creating Proportional Venn Diagrams Using Google and SAS |
Hillary Kruger |
source |
6 |
| SGF |
2011 |
Creating Word Clouds in SAS: A DSGI Approach |
Murphy Choy |
source |
8 |
| SGF |
2011 |
Evaluating the Effectiveness of a Calcium Nutrition Educational Intervention for Middle School Students in Las Vegas, Nevada, Using SAS |
Ryan Fernandez |
source |
13 |
| SGF |
2011 |
Exploring Selective Sweeps with SAS |
Kristan A. Schneider,
Barbara Schneider |
source |
11 |
| SGF |
2011 |
Highlighting Unusual Behavior in Insurance Based on Social Network Analysis |
Carlos Andre R. Pinheiro |
source |
9 |
| SGF |
2011 |
Improving Searchable Access to SAS Global Forum Conference Papers Using Semantic Analysis Methods and Text Analytic Technologies |
Richard W. La Valley,
Denise A. Bedford |
source |
16 |
| SGF |
2011 |
In Control of Your Data Warehouse Processes With the Help of SAS Stored Processes and the SAS Information Delivery Portal |
Ralf Vaessen,
Danny Pannemans,
Juan M. Quesada,
Koen Vyverman |
source |
24 |
| SGF |
2011 |
Introducing SAS Structural Equation Modeling: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
source |
18 |
| SGF |
2011 |
Introduction to ODS Graphics for the Non-Statistician |
Mike Kalt,
Cynthia L. Zender |
source |
28 |
| SGF |
2011 |
JMP 9 and Interactive Statistical Discovery |
John P. Sall |
source |
15 |
| SGF |
2011 |
Learn SAS in 50 Minutes |
Subhashree Singh,
Sovraj Singh |
source |
13 |
| SGF |
2011 |
Lets Give Em Something to TOC About: Transforming Your.pdf Files Table of Contents |
Bari Lawhorn |
source |
18 |
| SGF |
2011 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
source |
7 |
| SGF |
2011 |
Multifrequency Forecasting with SAS High-Performance Forecasting Software |
Michele A. Trovero,
Ed Blair,
Michael J. Leonard |
source |
10 |
| SGF |
2011 |
Obesity in Children Treated in New York City Public Hospitals |
Ronald B. Low,
Shunsuke Ito,
Caroline Jacobs,
Raymond Gregory,
Susan Meehan,
Ramanathan Raju |
source |
9 |
| SGF |
2011 |
ODS Output Data Sets That Work for You |
Stuart D. Long,
Edward Heaton,
Daniel R. Scharf |
source |
29 |
| SGF |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş |
source |
20 |
| SGF |
2011 |
Patron Analytics in the Casino and Gaming Industry: How the House Always Wins |
Scott W. Sutton |
source |
7 |
| SGF |
2011 |
Plate of Spaghetti Anyone? Techniques for Learning Existing SAS Programs |
Patricia S. Aanderud |
source |
10 |
| SGF |
2011 |
Predictive Analysis of Auto Insurance Purchasing Behavior on the Internet |
Roosevelt Mosley |
source |
15 |
| SGF |
2011 |
PROC PANEL Vs. A FAST ALGORITHM FOR ESTIMATION OF UNBALANCED PANEL DATA MODELS WITH TWO FIXED EFFECTS |
Alan Ricardo da Silva,
Mariana Fernandes Teixeira,
Thaís Helena Fernandes Teixeira |
source |
12 |
| SGF |
2011 |
Ratemaking Using SAS Enterprise Miner: An Application Study |
Billie Anderson |
source |
20 |
| SGF |
2011 |
Repo Your Missing Data Using PROC REPORT |
Ethan Miller |
source |
5 |
| SGF |
2011 |
SAS Data Management: How Raw Variables with Complex Skip Patterns and Missing Values Are Interpreted with Derived Variables |
Isabel H. Perry,
Samantha E. Dilworth,
Elise D. Riley |
source |
10 |
| SGF |
2011 |
Social Networking and SAS: Running PROCs on Your Facebook Friends |
Susan J. Slaughter,
Chris Hemedinger |
source |
8 |
| SGF |
2011 |
Taking Disease and Health Management Analytics into the Next Generation |
George S. Habek |
source |
13 |
| SGF |
2011 |
Ten Ways to Improve the Efficiency of Clinical Statistical Programming |
Amos Shu |
source |
5 |
| SGF |
2011 |
Tips and Techniques for SAS Programmers |
Helen D. Carey,
Ginger Carey |
source |
19 |
| SGF |
2011 |
To FREQ, Perchance to MEANS |
Christopher J. Bost |
source |
10 |
| SGF |
2011 |
Understanding Drivers of Achieving Academic Success in University Students |
David Dobson |
source |
17 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Use Customer Analytics in Your Processes. Yes, But How? |
Pushkraj V. Marathe |
source |
11 |
| SGF |
2011 |
Using SAS Formats: So Much More than "M" = "Male" |
Peter J. Lund |
source |
14 |
| SGF |
2011 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| SGF |
2011 |
Visualizing Count Data with 3D Flash Animation in a SAS Environment |
Xin Wei |
source |
7 |
| SGF |
2011 |
What Were We Talking About at Those SAS Conferences, or Let's Make Some Tag Clouds |
Chang Y. Chung,
John Henry King |
source |
11 |
| SGF |
2011 |
While You Were Sleeping, SAS Was Hard At Work |
Andrea Wainwright-Zimmerman |
source |
9 |
| SGF |
2011 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
source |
13 |
| NESUG |
2010 |
A Side of Hash for You to Dig Into |
Shan A. Rasul |
|
7 |
| NESUG |
2010 |
A View Toward Performance |
Edward Heaton |
|
8 |
| NESUG |
2010 |
Automatically Converting Character Variables That Store Numbers to Numeric Variables |
Christopher J. Bost |
|
13 |
| NESUG |
2010 |
Facilitating Genetic Analysis: SAS, the NHLBI, and CARe |
Taylor R. Young |
|
7 |
| NESUG |
2010 |
Learn SAS in 50 Minutes |
Subhashree Singh |
|
12 |
| NESUG |
2010 |
Non Printable & Special Characters: Problems and how to overcome them |
Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng |
|
13 |
| NESUG |
2010 |
Ordering PROC FREQ around |
Jonathan Kerman |
|
9 |
| NESUG |
2010 |
PROC SQL: Tips and Translations |
Gail Jorgensen,
Susan P. Marcella |
|
23 |
| NESUG |
2010 |
PROC TABULATE - Building Tables With Style |
Michael G. Eberhart |
|
17 |
| NESUG |
2010 |
Revealing the Structure of Item Dependency with SAS CLUSTER and TREE Procedures in Educational Testing and Measurement |
Yung-Chen Hsu |
|
6 |
| NESUG |
2010 |
SAS Style Templates: Always in Fashion |
Cynthia L. Zender |
|
22 |
| NESUG |
2010 |
See All, Know All: Using PROC DOCUMENT to Produce Integrated Data Set Documentation |
Jyothi Pabbaraju |
|
17 |
| NESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen |
|
20 |
| NESUG |
2010 |
The Nitty-Gritty of FDA Electronic Submission: A Programmer's Perspective |
Sandeep N. Beniwal |
|
9 |
| NESUG |
2010 |
Tips of Efficient Programming for Integrated Summary of Safety and Efficacy |
Changhong Shi,
Qing Xue |
|
6 |
| NESUG |
2010 |
Tiptoe through the Templates |
Cynthia L. Zender |
|
27 |
| NESUG |
2010 |
To FREQ, Perchance to MEANS |
Christopher J. Bost |
|
11 |
| NESUG |
2010 |
Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables |
Jonas V. Bilenas |
|
15 |
| NESUG |
2010 |
What Were We Talking About at Those SAS Conferences, or Let's Make Some Tag Clouds |
Chang Y. Chung,
John Henry King |
|
6 |
| NESUG |
2010 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
|
14 |
| SCSUG |
2010 |
A SAS Primer for Health Care Data Analysts |
Christopher W. Schacherer |
source |
24 |
| SCSUG |
2010 |
Boost Your Confidence (Intervals) With SAS |
Peter Langlois |
source |
42 |
| SCSUG |
2010 |
Retrieving Sound Information from MIDI and Other Multivariate Data: SAS to the Rescue |
Cecil R. Hallum |
source |
22 |
| WUSS |
2010 |
101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 |
Keh-Dong Shiang |
source |
22 |
| WUSS |
2010 |
An Introduction to Statistical Tests for the SAS Programmer |
Sara Beck |
source |
10 |
| WUSS |
2010 |
Analyzing Data from Complex Samples Using PROC SURVEYFREQ in SAS 9.2 |
Kathryn Martin |
source |
7 |
| WUSS |
2010 |
Answering Your Research Questions with Descriptive Statistics |
Diana D. Suhr |
source |
7 |
| WUSS |
2010 |
Answering Your Research Questions with Inferential Statistics |
Diana D. Suhr |
source |
10 |
| WUSS |
2010 |
Check and Document Data Integrity with PROC DATASETS |
Patrick Thornton |
source |
10 |
| WUSS |
2010 |
Essential SAS ODS PDF |
Patrick Thornton |
source |
10 |
| WUSS |
2010 |
Evaluating the Effectiveness of a Calcium Nutrition Educational Intervention for Middle School Students in Nevada using SAS |
Ryan Fernandez |
source |
14 |
| WUSS |
2010 |
From Novice to Intermediate in (Approximately) Sixty Minutes: II. SAS Procedures Beyond the Basics |
AnnMaria De Mars |
source |
17 |
| WUSS |
2010 |
From Novice to Intermediate in (Approximately) Sixty Minutes: III. Presentation |
AnnMaria De Mars |
source |
15 |
| WUSS |
2010 |
Key Elements to Develop SAS Macros |
Wei Cheng |
source |
14 |
| WUSS |
2010 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
source |
7 |
| WUSS |
2010 |
Query Creation Wizards using SAS/IntrNet |
Matthew Redelings |
source |
12 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| WUSS |
2010 |
SAS Style Templates: Always in Fashion |
Cynthia L. Zender |
source |
22 |
| WUSS |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| WUSS |
2010 |
Statistical Modeling of the Mechanical Behavior of Spring, Mass and Damper Assembly Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| WUSS |
2010 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| WUSS |
2010 |
Survival 101: Reporting Survival Curves Using Sample Data from the Colorectal Cancer Outcomes Database |
Anna ter Veer |
source |
11 |
| WUSS |
2010 |
The Last Shall Be First: Matching Patients by Choosing the Least Popular First |
Stefanie Millar |
source |
9 |
| WUSS |
2010 |
The Next Generation: SAS/STAT 9.22 |
Robert N. Rodriguez |
source |
20 |
| PHUSE EU |
2010 |
Assessing Applications Training |
Edel Hogan |
source
presentation source |
5 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko,
Michael O'Connell |
source
poster source |
12 |
| MWSUG |
2010 |
A SAS Primer for Health Care Data Analysts |
Christopher W. Schacherer,
Brent D. Westra |
|
24 |
| MWSUG |
2010 |
Comparative Effectiveness Analysis and Statistical Methodology |
Patricia B. Cerrito,
John C. Cerrito |
|
11 |
| MWSUG |
2010 |
Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio |
Douglas Thompson |
|
25 |
| MWSUG |
2010 |
Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology |
Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson |
|
16 |
| MWSUG |
2010 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
|
19 |
| MWSUG |
2010 |
Simulating a Simple Solitaire Card Game Using SAS |
Robert G. Moore |
|
5 |
| MWSUG |
2010 |
The "Forgotten" JMP Visualizations |
Sam Gardner |
|
11 |
| MWSUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes |
|
20 |
| MWSUG |
2010 |
To Investigate the Impact of Medicare Part D on the Cost Effectiveness of Diabetes Medications and Health Outcomes with SAS |
Xiao Wang |
|
8 |
| SESUG |
2010 |
%SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots |
Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell |
source |
16 |
| SESUG |
2010 |
A View Toward Performance |
Edward Heaton |
source |
4 |
| SESUG |
2010 |
Analysis and Visual Review of Error Matrices in SAS Stat Studio |
Robert Seffrin |
source |
10 |
| SESUG |
2010 |
How to Monitor "Don't Know" and "Refusal" Non-responses in a Large National Survey - Using Simple SAS Macros, a Few PROCs, and Data Steps |
Mariah Mantsun Cheng,
Timothy Monbureau |
source |
10 |
| SESUG |
2010 |
PROC_CODEBOOK, Automating the Review and Documentation of SAS Files |
James Terry |
source |
3 |
| SESUG |
2010 |
QC Your SAS and RDBMS Data Using Dictionary Tables |
Harry Droogendyk |
source |
20 |
| SESUG |
2010 |
SAS tips for Institutional Researchers to Track Student Outcomes Efficiently |
Vijayalakshmi Sampath |
source |
7 |
| SESUG |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| PharmaSUG |
2010 |
%TABLEMAKER: Data Reporting Made Easy |
Bernadette H. Johnson |
|
6 |
| PharmaSUG |
2010 |
Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS |
Philip J. d'Almada,
Laura Aberle |
|
9 |
| PharmaSUG |
2010 |
CDASH Standards for Medical Device Trials: CRF Analysis |
Parag Shiralkar,
Jennie Tedrow,
Kit Howard,
Laura Fazio,
Daniela Luzi,
Rhonda Facile |
|
8 |
| PharmaSUG |
2010 |
Create Comprehensive Patient Profiles with SAS |
Sanjay N. Matange,
Daniel O'Connor |
|
12 |
| PharmaSUG |
2010 |
ECG Feature Detection Using SAS |
Suhas R. Sanjee,
Sridhar Vijendra |
|
9 |
| PharmaSUG |
2010 |
The Compliance and Implementation of Clinical Trial Outcome Disclosure on ClinicalTrials.gov |
Eric T. Sun,
Craig Anderson |
|
13 |
| PharmaSUG |
2010 |
Tiptoe through the Templates |
Cynthia L. Zender |
|
27 |
| PharmaSUG |
2010 |
Validate it Again?! Get SAS to do it! |
Carol Matthews,
Ginger Lewis,
Olga Belotserkovsky |
|
13 |
| PharmaSUG |
2010 |
Wonderful Unix SAS Scripts: SAS Quickies for Dummies |
Raoul A. Bernal |
|
9 |
| SGF |
2010 |
A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation |
Elisa L. Priest,
Derek Blankenship |
source |
14 |
| SGF |
2010 |
A Program to Automatically Compute Agreement Statistics for an Asymmetric Table |
Ying Feng,
Vincent Weng |
source |
6 |
| SGF |
2010 |
An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry |
Roosevelt Mosley |
source |
20 |
| SGF |
2010 |
Automatically Run Fisher's Exact Test When the Chi-square Test Might Not Be Valid |
Wei Xu |
source |
4 |
| SGF |
2010 |
Custom Designs Using JMP Design of Experiments and SAS PROC OPTEX |
Mei-Fen Yeh,
Anthony Cece,
Mark A. Presser |
source |
9 |
| SGF |
2010 |
Data and Text Mining in SAS Warranty Analysis 4.2 |
Ned Maran,
Wei Huang |
source |
13 |
| SGF |
2010 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner,
Steven R. Kirby |
source |
8 |
| SGF |
2010 |
Facilitating Genetic Analysis: SAS, the NHLBI, and CARe |
Taylor R. Young |
source |
7 |
| SGF |
2010 |
How to Transform a Technical Exercise into a Real Opportunity Taking Advantage of New Features That SAS Developed: The True Challenge of a Migration |
Grégory Becquembois,
Pascal Maurice |
source |
13 |
| SGF |
2010 |
Listening to the Twitter Conversation |
Russell Albright,
Ravi Devarajan,
Richard Foley |
source |
8 |
| SGF |
2010 |
SAS Presents In-Database Base Procedures in Practice |
Scott Mebust,
Robert S. Ray |
source |
25 |
| SGF |
2010 |
SAS Style Templates: Always in Fashion |
Cynthia L. Zender |
source |
22 |
| SGF |
2010 |
Segmenting Textual Data on Automobile Insurance Claims |
David Dobson |
source |
9 |
| SGF |
2010 |
Select Matched-Pair Control Sampling Using PROC SURVEYSELECT |
Yu Feng |
source |
4 |
| SGF |
2010 |
Statistical Modeling of the Mechanical Behavior of Spring, Mass and Damper Assembly Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| SGF |
2010 |
Systems Management of the SAS 9.2 BI Environment Using Enterprise Management Facilities |
Gary Ciampa |
source |
18 |
| SGF |
2010 |
Using SAS Formats: So Much More than "M" = "Male" |
Peter J. Lund |
source |
14 |
| SGF |
2010 |
Using the External Filename to Create File Date Variables |
Peter Cerussi |
source |
11 |
| SGF |
2010 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
20 |
| SCSUG |
2009 |
List Processing Routine CallXinc: Calling Parameterized Include Programs Using a Data Set as List of Parameters [presentation] |
Ronald J. Fehd |
|
40 |
| SCSUG |
2009 |
Random Split SAS data file exactly according to a given probabilty |
Liang Xie |
|
12 |
| SCSUG |
2009 |
Working with Longitudinal Data |
Ronald P. Cody |
|
4 |
| SESUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
source |
18 |
| SESUG |
2009 |
A Macro for Computing the Mantel-Fleisś Criterion |
Brandon L. Welch,
Jane Eslinger,
Robert F. Woolson |
source |
9 |
| SESUG |
2009 |
A New Effect Modification P Value Test Demonstrated |
Manojkumar B Agravat |
source |
14 |
| SESUG |
2009 |
Are Differences in Marital Status an Important Factor for KAP Related to HIV/AIDS in Saoner Rural Area? |
Amit Kamdi,
Vikram Shad,
Jitesh K Kar,
Kishorbhai J Gangani,
Arun Humne |
source |
1 |
| SESUG |
2009 |
High Performance Analytics with In-Database Processing |
High Performance |
source |
8 |
| SESUG |
2009 |
Taking the PROC FREQ a Step Beyond |
Priya Suresh,
Elizabeth Heath |
source |
6 |
| SESUG |
2009 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
source |
10 |
| SESUG |
2009 |
Using ODS Select to Limit SAS Output |
Matt Reich |
source |
4 |
| PHUSE EU |
2009 |
A Regular Expression is a Healthy Expression |
Paul Shannon |
source |
11 |
| PHUSE EU |
2009 |
Accelerate Clinical Development through Management of Data Quality [presentation] |
David Smith |
source |
30 |
| PHUSE EU |
2009 |
ClinicalTrials.gov - a programmers perspective |
Ralf Minkenberg |
source
presentation source |
6 |
| PHUSE EU |
2009 |
Data review: To see or not to see.. |
Estelle Tiemtore |
source
presentation source |
6 |
| PHUSE EU |
2009 |
Safety analysis using Bayesian simulation methods in SAS 9.2 |
Armin Gemperli |
source |
8 |
| PHUSE EU |
2009 |
Validate it Again?! Get SAS to do it! |
Carol Matthews,
Ginger Lewis |
source |
14 |
| MWSUG |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu,
Chuck Vu,
Sandeep Kharidhi |
|
13 |
| MWSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| MWSUG |
2009 |
Analysis of Breast Cancer and Surgery as Treatment Options |
Beatrice Ugiliweneza |
|
17 |
| MWSUG |
2009 |
Communication-Effective Reporting with Email/BlackBerry/iPhone, PowerPoint, Web/HTML, PDF, RTF/Word, Animation, Images, Audio, Video, 3D, Hardcopy, or Excel |
LeRoy Bessler |
|
79 |
| MWSUG |
2009 |
Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management |
Svetlana Zelenskiy,
Lauren Byrne,
Cheryl L. Thompson,
Thomas C. Tucker,
David Bruckman,
Li Li |
|
16 |
| MWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Michael Watzke |
|
8 |
| MWSUG |
2009 |
Irritable Bowel Syndrome and Mood Disorders |
Pedro Ramos |
|
6 |
| MWSUG |
2009 |
Where Does This Where Go? |
Scott Davis |
|
4 |
| PNWSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| PNWSUG |
2009 |
Building Multiple Linear Regression Models - Food for Thought |
Colleen E. McGahan,
Mei Chong |
|
11 |
| PNWSUG |
2009 |
High Performance Analytics with In-Database Processing |
Stephen Brobst,
Keith Collins,
Paul Kent,
Mike Watzke |
|
8 |
| PNWSUG |
2009 |
Tiptoe through the Templates |
Cynthia L. Zender |
|
27 |
| PNWSUG |
2009 |
When Good Looks Aren't Enough |
Lisa Eckler |
|
11 |
| NESUG |
2009 |
A PROC SQL+Data Step Alternative to the Hash Object for Creating Multiple, Data-Driven Data Sets |
Michael S. Zdeb |
|
6 |
| NESUG |
2009 |
Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide |
I-Kong B. Fu |
|
11 |
| NESUG |
2009 |
Analyzing MCBS Data with PROC SURVEYFREQ: The Maybe Cheesy but Simple Approach |
Christine E. Leonard |
|
19 |
| NESUG |
2009 |
Enhancing Textbook-Style Histograms with the PLOTHISTON09 SAS Macro |
Perry Watts,
Samuel Litwin |
|
18 |
| NESUG |
2009 |
Evolution of the Investigator Satisfaction Ranking Report: The Advantage of Using the "PROC REPORT Procedure/ODS Excel" versus a "CROSSTAB Output" or "CROSSTAB/ODS Excel" |
Mollie E. Van Loon,
John M. Shingler |
|
8 |
| NESUG |
2009 |
How Proc Freq Can Help You Merge |
Emmy V Pahmer |
|
5 |
| NESUG |
2009 |
PROC SQL Tips and Techniques |
Gail Jorgensen,
Susan P. Marcella |
|
23 |
| NESUG |
2009 |
SAS Text Miner: Introduction and Case Study |
Maria Skaletsky,
Dominique Haughton |
|
5 |
| NESUG |
2009 |
Successful Lab Result Conversion for LAB Analysis Data with Minimum Effort |
Pushpa Saranadasa |
|
8 |
| NESUG |
2009 |
Taming the Box Plot |
Sanjiv Ramalingam |
|
7 |
| NESUG |
2009 |
Tiptoe through the Templates |
Cynthia L. Zender |
|
27 |
| NESUG |
2009 |
Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables |
Jonas V. Bilenas |
|
16 |
| NESUG |
2009 |
Using SQL Joins to Perform Weighted Matches on Multiple Identifiers |
Jedediah J. Teres |
|
8 |
| NESUG |
2009 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| NESUG |
2009 |
When Good Looks Aren't Enough |
Lisa Eckler |
|
11 |
| WUSS |
2009 |
A Beginner's Example of PROC MIXED for the Analysis of Letter Identification Using Reaction Time |
Sarah R. Greene |
source |
4 |
| WUSS |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
source |
18 |
| WUSS |
2009 |
Custom Outcomes Benchmarking Reports Using Dynamic Data Exchange (DDE), the Only Way to Go |
Joyce C. Niland,
Rebecca Ottesen,
Julie A. Kilburn,
Ann Vanderplas,
Anna ter Veer,
Rizvan Mamet |
source |
9 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| WUSS |
2009 |
If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues |
Kim M. Wilson |
source |
17 |
| WUSS |
2009 |
Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export |
Keiko I. Powers |
source |
10 |
| WUSS |
2009 |
List Processing Routine CallXinc: Calling Parameterized Include Programs Using a Data Set as List of Parameters |
Ronald J. Fehd |
source |
20 |
| WUSS |
2009 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2009 |
Repo Your Missing Data Using PROC REPORT |
Ethan Miller |
source |
5 |
| WUSS |
2009 |
Reporting Quality of Cancer Care for the National Comprehensive Cancer Network - A SAS Bridge to Excel |
Joyce C. Niland,
Anna ter Veer,
Rebecca Ottesen,
Ann Vanderplas,
Julie A. Kilburn,
Dorothy Romanus |
source |
10 |
| WUSS |
2009 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
6 |
| WUSS |
2009 |
Solving Your Problems with SAS Enterprise Guide: SAS without Programming |
AnnMaria De Mars |
source |
18 |
| WUSS |
2009 |
The SURVEYFREQ Procedure in SAS 9.2: Avoiding FREQuent Mistakes When Analyzing Survey Data |
Kathryn Martin |
source |
6 |
| WUSS |
2009 |
Tiptoe through the Templates |
Cynthia L. Zender |
source |
27 |
| WUSS |
2009 |
Using PROC REPORT to Cross-Tabulate Multiple Response Items |
Patrick Thornton |
source |
5 |
| WUSS |
2009 |
Using SAS for Nonparametric Statistics |
Gerry Hobbs |
source |
7 |
| WUSS |
2009 |
Using the SmryEachVar Data Review Suite |
Ronald J. Fehd |
source |
20 |
| WUSS |
2009 |
Wonderful Unix SAS Scripts: SAS Quickies for Dummies |
Raoul A. Bernal |
source |
9 |
| PharmaSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| PharmaSUG |
2009 |
Are you computing Confidence Interval for binomial proportion using PROC FREQ? Be Careful!! |
Sandeep Sawant |
|
6 |
| PharmaSUG |
2009 |
CHECK YOUR DATA MORE EFFICIENTLY |
Jian Hua (Daniel) Huang |
|
12 |
| PharmaSUG |
2009 |
Chic FREQ and UNIVARIATE |
Jasmin Fredette |
|
14 |
| PharmaSUG |
2009 |
Confidence Intervals for the Binomial Proportion with Zero Frequency |
Xiaomin He,
Shwu-Jen Wu |
|
6 |
| PharmaSUG |
2009 |
Customized Efficient Data-Driven SAS Based System Tailored To Clients Needs |
Mila Chiflikyan,
Mai Nguyen,
Renee Karlsen |
|
12 |
| PharmaSUG |
2009 |
Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop |
Bradford J. Danner,
Steven R. Kirby |
|
8 |
| PharmaSUG |
2009 |
Stacked Cumulative Percent Plots |
Theresa Gilligan |
|
10 |
| PharmaSUG |
2009 |
The Existence of Maximum Likelihood Estimates for the Logistic Regression Model |
William F. McCarthy,
Nan Guo |
|
12 |
| PharmaSUG |
2009 |
Tiptoe through the Templates |
Cynthia L. Zender |
|
27 |
| PharmaSUG |
2009 |
Using SAS/IML to Generate Weighted Chi-Square Statistics |
Daniel DiPrimeo,
Bruce Johnston,
Lisa Price,
Junming Yang |
|
8 |
| SGF |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu,
Chuck Vu,
Sandeep Kharidhi |
source |
13 |
| SGF |
2009 |
A Flexible Count Data Regression Model Using SAS PROC NLMIXED |
Nan-Ting Chou,
David Steenhard |
source |
14 |
| SGF |
2009 |
Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide |
I-Kong B. Fu,
Wayne Thompson,
Mike Porter |
source |
11 |
| SGF |
2009 |
Applications of the GLMSELECT Procedure for Megamodel Selection |
Robert A. Cohen |
source |
25 |
| SGF |
2009 |
Beyond SAS/Genetics |
Amina Barhdadi,
Yassamin Feroz Zada,
Marie-Pierre Dube |
source |
10 |
| SGF |
2009 |
Bubble, Bubble: Less Toil, No Trouble |
Wendy B. Dickinson,
Bruce W. Hall,
Constance Hines |
source |
10 |
| SGF |
2009 |
Building Drill-Down Capabilities Dynamically in SAS Output Using Base SAS |
Mark Beardsley,
Barbara Kolln,
Ronald Palanca,
Hong (Lily) Zhang |
source |
13 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Evolution of the Investigator Satisfaction Ranking Report: The Advantage of Using the "PROC REPORT Procedure/ODS Excel" versus a "CROSSTAB Output" or "CROSSTAB/ODS Excel" |
Mollie Van Loon,
John M. Shingler |
source |
8 |
| SGF |
2009 |
If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues |
Kim M. Wilson |
source |
17 |
| SGF |
2009 |
Let Me Look At It! Graphic Presentation of Any Numeric Variable |
Anastasiya M. Osborne |
source |
12 |
| SGF |
2009 |
More than Just the Kappa Coefficient: A Program to Fully Characterize Inter-Rater Reliability between Two Raters |
Michael Cunningham |
source |
7 |
| SGF |
2009 |
ODS 101+ |
Erik W. Tilanus |
source |
20 |
| SGF |
2009 |
SAS Enterprise Guide for the Business Analyst |
Lina Clover |
source |
11 |
| SGF |
2009 |
SAS Fundamentals For Survey Data Processing |
Renato G. Villacorte |
source |
12 |
| SGF |
2009 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
6 |
| SGF |
2009 |
The Future of Revenue Management |
Kelly A. McGuire,
Steve Pinchuk |
source |
5 |
| SGF |
2009 |
The Path to Profitable Analytics: Via Predictive Analytics to Marketing Automation |
Petr Ptacnik |
source |
10 |
| SGF |
2009 |
The Pros and Cons of PROC DOCUMENT |
Philip R. Holland |
source |
2 |
| SGF |
2009 |
Tips and Tricks for Creating the Reports Your Clients Need to See |
Michael J. Molter |
source |
13 |
| SGF |
2009 |
Tiptoe through the Templates |
Cynthia L. Zender |
source |
27 |
| SGF |
2009 |
Using SAS Enterprise Guide 4.1 to Reduce the Cost of Diabetic Outpatients in Medicare |
Xiao Wang |
source |
7 |
| SGF |
2009 |
Using SAS OLAP Server for a ROLAP Scenario |
John Graas,
Brian Mitchell,
Tatyana Petrova,
Mary Simmons,
Michelle Wilkie |
source |
20 |
| SGF |
2009 |
Using SAS Software to Generate Textbook-Style Histograms |
Perry Watts |
source |
18 |
| SGF |
2009 |
Using SAS to Analyze System Performance Metrics |
Chris Helwig |
source |
9 |
| WUSS |
2008 |
A Hands-On Introduction to SAS Programming |
Casey Cantrell |
source |
21 |
| WUSS |
2008 |
An Unaccusative Categorization of 'Swarm' Type Verbs in Spanish: An Application of SAS to Linguistic Research |
Roberto Mayoral Hernández,
Lindsey N. Chen |
source |
6 |
| WUSS |
2008 |
Building Effective SAS Indexes using Short and Distinct Keys, Covered Queries and Clustered Indexes |
Kirk Paul Lafler |
source |
8 |
| WUSS |
2008 |
Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? |
Ronald J. Fehd |
source |
8 |
| WUSS |
2008 |
Demystifying Popular SAS Procedures. |
Lisa Smith |
source |
17 |
| WUSS |
2008 |
Generic Automated Data Dictionary for any SAS data set or format library |
Dale Harrington |
source |
8 |
| WUSS |
2008 |
Missing by Design: Questionnaire Skip Logic |
Kathryn A. Valdes |
source |
17 |
| WUSS |
2008 |
Moving from Data to Information: SAS Programming to Reduce Statistical and Programming Errors |
AnnMaria De Mars |
source |
6 |
| WUSS |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2008 |
SAS Fundamentals For Survey Data Processing |
Renato G. Villacorte |
source |
12 |
| WUSS |
2008 |
SmryEachVar: A Data-Review Routine for All Data Sets in a Libref |
Ronald J. Fehd |
source |
25 |
| WUSS |
2008 |
Tap Into the Power of Formats |
Nikki M. Carroll |
source |
12 |
| WUSS |
2008 |
The Power of the BY Statement |
Toby Dunn,
Paul A. Choate |
source |
16 |
| WUSS |
2008 |
Using PROC REPORT to Describe Case and Control Comparisons |
Sara Yuewen Gao |
source |
10 |
| SESUG |
2008 |
Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS |
Taylor Lewis |
source |
5 |
| SESUG |
2008 |
Count Regression Models in SAS |
David Steenhard,
Nan-Ting Chou |
source |
12 |
| SESUG |
2008 |
Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? |
Ronald J. Fehd |
source |
8 |
| SESUG |
2008 |
Let Me Look At It! Graphic Presentation of Any Numeric Variable |
Anastasiya M. Osborne |
source |
11 |
| SESUG |
2008 |
MISSING VALUES: Everything You Ever Wanted to Know |
Malachy J. Foley |
source |
8 |
| SESUG |
2008 |
Tag Clouds - A list of tokens, sized by relative frequency |
Richard A. DeVenezia |
source |
7 |
| SESUG |
2008 |
Tips and Tricks to Make SAS Life Easier |
Claudine Lougee |
source |
6 |
| PHUSE EU |
2008 |
.. but there are no ERROR messages in the LOGs |
Shafi Chowdhury |
source |
11 |
| PHUSE EU |
2008 |
Abbreviation Creation and Use: Loading an Abbreviation File |
M. Chris Moser,
Edward Heaton,
Russell M. Lavery |
source |
3 |
| PHUSE EU |
2008 |
Automated table generation: The macro SAS %GEEWHIZ |
Guido Wendland |
source |
12 |
| PHUSE EU |
2008 |
Efficiency Issues in Evaluating Pharmacogenetic Data With SAS |
Volker Harm,
Stephan Lehr |
source |
10 |
| PHUSE EU |
2008 |
Flexible Code Using Arrays With a Variable Name Wildcard |
Jonathan Goodard |
source |
4 |
| PHUSE EU |
2008 |
SAS Data via.NET "The Power to Show" |
Nicolas Rouillé |
source |
12 |
| MWSUG |
2008 |
Classification of Breast Cancer Cells Using JMP |
Marie Gaudard |
|
34 |
| MWSUG |
2008 |
Exploring Efficient Ways to Collapse Variables |
Yubo Gao |
|
5 |
| MWSUG |
2008 |
Let Me Look At It! Graphic Presentation of Any Numeric Variable |
Anastasiya M. Osborne |
|
11 |
| MWSUG |
2008 |
Mastectomy Versus Lumpectomy In Breast Cancer Treatment |
Beatrice Ugiliweneza |
|
17 |
| PNWSUG |
2008 |
Applied Aspects of Using Multiple Imputation in Clinical Data |
Christina Gullion |
|
7 |
| PNWSUG |
2008 |
Basic SAS PROCedures for Generating Quick Results |
Kirk Paul Lafler |
|
16 |
| PNWSUG |
2008 |
Database Vocabulary: Is Your Data Set a Dimension (LookUp) Table, a Fact Table or a Report? |
Ronald J. Fehd |
|
8 |
| PNWSUG |
2008 |
Get Your Hands Dirty Using the FORMAT Procedure |
Marge Scerbo |
|
13 |
| NESUG |
2008 |
A Tiptoe Through the Tagset Field |
Mike Molter |
|
23 |
| NESUG |
2008 |
An Introduction to the SAS Survey Analysis PROCs |
Xiuhua Chen,
Paul Gorrell |
|
17 |
| NESUG |
2008 |
Breakthrough Improvements through Reliable Modern Testing using SAS and JMP |
Sunil Kumar Gupta |
|
14 |
| NESUG |
2008 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
|
15 |
| NESUG |
2008 |
Competing with Analytics: The Case of a College Bookstore |
Sunil Kumar Gupta |
|
14 |
| NESUG |
2008 |
Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes |
Ernest S. Shtatland,
Timur Shtatland |
|
15 |
| NESUG |
2008 |
Just What the Doctor Ordered: Using SAS to Calculate Patient Drug Dose with Electronic Medical Record (EMR) Prescription Data |
Kathy Hardis Fraeman |
|
9 |
| NESUG |
2008 |
Multiple Adverse Event Tables without Surgical Intervention |
Adel Fahmy,
Carol Matthews |
|
11 |
| NESUG |
2008 |
Multiple Facts about Multilabel Formats |
Gwen Babcock |
|
8 |
| NESUG |
2008 |
SAS Macros To Help Create Report Quality Tables in Word Documents |
Brendan Bartley,
Heather Ribaudo |
|
10 |
| NESUG |
2008 |
Sensitivity Training for Building Better Bar Charts with SAS/GRAPH Software |
Perry Watts |
|
15 |
| NESUG |
2008 |
Top Ten Reasons to Switch to Enterprise Guide (Say Goodbye to PC SAS) |
Heather Y. Seeno |
|
15 |
| NESUG |
2008 |
Tricks to Quickly Analyze and Graphically Represent Numeric Data |
Anastasiya M. Osborne |
|
9 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| NESUG |
2008 |
Understanding Why Physicians Choose A Certain Drug When Treating A Patient - What Product Attributes Matter Most |
Marc States |
|
5 |
| NESUG |
2008 |
Using ODS Object Oriented Features To Produce A Formatted Record Layout |
Suzanne M. Dorinski |
|
17 |
| NESUG |
2008 |
Using PROC DOCUMENT To Modify PDF Bookmarks Generated by PROC FREQ |
Suzanne M. Dorinski |
|
10 |
| NESUG |
2008 |
Using SAS Software to Generate Textbook-Style Histograms |
Perry Watts |
|
18 |
| PharmaSUG |
2008 |
"Which Subjects?" Combining a Summary Table and a Data Listing to Answer Clinical's Favorite Question |
Kim Truett |
|
6 |
| PharmaSUG |
2008 |
%CHCKFRQS - A Macro Application for Generating Frequencies for QC and Simple Reports |
John Iwaniszek,
Natalie Walker,
Laura Lovette |
|
8 |
| PharmaSUG |
2008 |
%YAMGAST: Yet Another Macro to Generate a Summary Table |
Zang Xiong,
St. Jude Children's |
|
10 |
| PharmaSUG |
2008 |
An Animated Guide: Comparing Files without Proc Compare |
Alejandro Jaramillo,
Russell M. Lavery |
|
10 |
| PharmaSUG |
2008 |
An Annotated Guide: Using Proc Tabulate And Proc Summary to Validate SAS Code |
Yanmei Lu,
Russell M. Lavery |
|
13 |
| PharmaSUG |
2008 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
|
15 |
| PharmaSUG |
2008 |
Detecting Incorrect P-values |
John Morrill |
|
5 |
| PharmaSUG |
2008 |
Facilitate Statistical Analysis with Automatic Collapsing of Small Size Strata |
Sunil Kumar Gupta,
Linfeng Xu,
Thousand Oaks |
|
12 |
| PharmaSUG |
2008 |
Innovative Techniques and Tools to Detect Data Quality Problems |
Hong Qi,
Allan Glaser |
|
8 |
| PharmaSUG |
2008 |
Joint Repair: A Statistical Analysis of Patient Data |
Grant Johnson |
|
20 |
| PharmaSUG |
2008 |
Labor-Saving SQL Constructs |
Brian P. Fairfield-Carter,
David W. Carr |
|
11 |
| PharmaSUG |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
|
34 |
| PharmaSUG |
2008 |
Quality Oversight Measured By Complexity |
Hui-Ping Chen,
Mark Matthews |
|
4 |
| PharmaSUG |
2008 |
Sample Size Estimation for Trials of Recurrent Events |
Kuolung Hu |
|
8 |
| PharmaSUG |
2008 |
SmryEachVar: A Data-Review Routine for All Data Sets in a Libref |
Ronald J. Fehd |
|
24 |
| PharmaSUG |
2008 |
Text Mining to Summarize Complicated Datasets Containing Structured, Nominal Data |
Hamed Zahedi |
|
10 |
| PharmaSUG |
2008 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
|
14 |
| 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 |
| SGF |
2008 |
A Tiptoe Through the Tagset Field |
Michael J. Molter |
source |
23 |
| SGF |
2008 |
Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
23 |
| SGF |
2008 |
Another Look at Low-Order Autoregressive Models in Early Detection of Epidemic Outbreaks and Explosive Behaviors in Economic and Financial Time Series |
Ernest S. Shtatland |
source |
12 |
| SGF |
2008 |
BFF: Binary Flags Forever (Or, Boole's Paradise) |
David J. Pasta,
Eric P. Elkin |
source |
9 |
| SGF |
2008 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
source |
15 |
| SGF |
2008 |
Convergence Failures in Logistic Regression |
Paul D. Allison |
source |
11 |
| SGF |
2008 |
Count Data Models in SAS |
Wensui Liu,
Jimmy Cela |
source |
12 |
| SGF |
2008 |
Creating Journal-Style Tables in an Easy Way (with PROC TABULATE, PROC TEMPLATE, PROC FORMAT, and ODS RTF) |
Janet M. Grubber,
Maren Olsen,
Hayden Bosworth |
source |
14 |
| SGF |
2008 |
Employing SAS Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management |
Kristof Coussement |
source |
12 |
| SGF |
2008 |
Generalized McNemar's Test for Homogeneity of Marginal Distributions |
Xuezheng Sun,
Zhao Yang |
source |
10 |
| SGF |
2008 |
Get Your Hands Dirty Using the FORMAT Procedure |
Marge Scerbo |
source |
13 |
| SGF |
2008 |
How to Get Phase Portraits Animated with SAS |
Kristan A. Schneider,
Barbara Schneider |
source |
9 |
| SGF |
2008 |
How to Use SAS to Fit Multiple Logistic Regression Models |
Anpalaki J. Ragavan |
source |
13 |
| SGF |
2008 |
I Can Do That with PROC FORMAT |
Jonas V. Bilenas |
source |
12 |
| SGF |
2008 |
Introduction to PROC TABULATE |
Thomas J. Winn Jr. |
source |
17 |
| SGF |
2008 |
Labor-Saving SQL Constructs |
Brian P. Fairfield-Carter,
David W. Carr |
source |
10 |
| SGF |
2008 |
Learning PROC REPORT by Comparison |
Keith Cranford |
source |
15 |
| SGF |
2008 |
ODS and Output Data Sets: What You Need to Know |
Myra A. Oltsik |
source |
13 |
| SGF |
2008 |
Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach |
Sabri G. Uner |
source |
14 |
| SGF |
2008 |
PROC CORRESP for Categorical Data: Correspondence Analysis (CA) for Discovery, Display, and Decision-Making |
Wendy B. Dickinson,
Bruce W. Hall |
source |
8 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
Range Formats Made Easy A CreateRangeFormat Custom Task for SAS Enterprise Guide |
Petr Hustak |
source |
9 |
| SGF |
2008 |
SmryEachVar: A Data-Review Routine for All Data Sets in a Libref |
Ronald J. Fehd |
source |
24 |
| SGF |
2008 |
Start Improving Your Data Quality with %FreqAll |
Toby Dunn |
source |
10 |
| SGF |
2008 |
Steps to Success with the SAS Output Delivery System |
Andrew H. Karp |
source |
15 |
| SGF |
2008 |
Technology Solutions to Detect Fraud and Counter Other IT Risks |
Eckhardt Kriel |
source |
12 |
| SGF |
2008 |
The Early Warning Project: Prewarning and Avoiding Problems and Costly Downtime in Complex Industrial Processes |
Torulf Mollestad,
Frode Oplenskedal |
source |
12 |
| 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 |
| SGF |
2008 |
Use of Text Mining to Predict Patient Compliance |
Christiana Petrou |
source |
15 |
| SGF |
2008 |
Using PROC GENMOD to find a fair house insurance rate for the Norwegian market |
Sverre Grevskott,
Sten Sture |
source |
9 |
| SGF |
2008 |
Using the SAS DATA Step and PROC SQL to Create Macro Arrays |
Stuart D. Long,
Edward Heaton |
source |
11 |
| NESUG |
2007 |
A Consolidated Macro for Iterative Hot Deck Imputation |
Bruce Ellis |
|
15 |
| NESUG |
2007 |
A Tiptoe Through the Tagset Field |
Mike Molter |
|
23 |
| NESUG |
2007 |
An Algorithm to Compute Exact Power of an Unordered RxC Contingency Table |
Vivek Pradhan,
Stian Lydersen |
|
8 |
| NESUG |
2007 |
An RTF Document Index: Easier Than You Think |
Electra Small |
|
10 |
| NESUG |
2007 |
Building a Better Bar Chart with SAS/Graph Software |
Perry Watts |
|
20 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| NESUG |
2007 |
Charting the Basics with PROC GCHART |
Perry Watts |
|
20 |
| NESUG |
2007 |
Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment |
Huei-Ling Chen,
Aiming Yang |
|
9 |
| NESUG |
2007 |
Creating Multiple Cohorts Using the SAS Data Step |
Jonathan Steinberg |
|
9 |
| NESUG |
2007 |
EZLID: A SAS Macro for Local Item Dependence Assessment |
Yung-Chen Hsu,
Tsung-hsun Tsai |
|
10 |
| NESUG |
2007 |
Formats, Informats and How to Program with Them |
H. Ian Whitlock |
|
14 |
| NESUG |
2007 |
FreqLibname: A Data Review Routine For All Memnames in a Libname |
Ronald J. Fehd |
|
22 |
| NESUG |
2007 |
Guido's Guide to PROC FREQ - A Tutorial for Beginners Using the SAS System |
Joseph J. Guido |
|
16 |
| NESUG |
2007 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
17 |
| NESUG |
2007 |
Measuring Days and Hours: An Introduction to the Handy Uses of the IN, END, LAG, FIRST and LAST Statements |
Catherine Loveless-Schmitt |
|
9 |
| NESUG |
2007 |
Offset Techniques in Predictive Modeling for Insurance |
Matthew J. Flynn,
Jun Yan |
|
9 |
| NESUG |
2007 |
Programming Rolling Regressions in SAS |
Michael Boldin |
|
12 |
| NESUG |
2007 |
Relationships Between CDISC Variables Linking Domains (relrec) (CDISC Variable Relationships Part 3 of 3) |
Susan Fehrer,
Russell M. Lavery |
|
12 |
| NESUG |
2007 |
Revising Output from the TABULATE Procedure |
Michael F. Tuchman |
|
18 |
| NESUG |
2007 |
Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves |
Mithat Gonen |
|
18 |
| NESUG |
2007 |
Taming the PROC TRANSPOSE |
Matthew Taylor |
|
5 |
| NESUG |
2007 |
Tips and Tricks for Creating the Reports Your Clients Need to See |
Mike Molter |
|
13 |
| NESUG |
2007 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
|
22 |
| NESUG |
2007 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| NESUG |
2007 |
Using the SAS DATA Step and PROC SQL to Create Macro Arrays |
Stuart D. Long,
Edward Heaton |
|
11 |
| SESUG |
2007 |
Application of an Exact Covariate Matching Macro in Outcome Analysis |
Guiping Yang |
source |
19 |
| SESUG |
2007 |
Building Your Own Real-Time SAS Server Monitor under UNIX |
Houliang Li |
source |
7 |
| SESUG |
2007 |
Data Mining to Investigate University Expectations of Work |
Guoxin Tang |
source |
6 |
| SESUG |
2007 |
Formats, Informats and How to Program with Them |
H. Ian Whitlock |
source |
14 |
| SESUG |
2007 |
Generating Random Numbers from a Discrete User Defined Distribution |
Amy Boulris |
source |
6 |
| SESUG |
2007 |
Making Web Results Relevant with SAS |
Russell Albright,
Jake Bartlett,
David Bultman |
source |
12 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| SESUG |
2007 |
Simplifying the Sample Design Process with PROC PMENU |
Liza M. Thompson |
source |
12 |
| SESUG |
2007 |
Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) |
Andrea J Roofe |
source |
12 |
| MWSUG |
2007 |
44 Tricks with the 4mat Procedure |
Ben Cochran |
|
7 |
| MWSUG |
2007 |
A Macro for Producing Graphs used in Assessing a Spectrum |
David W. Meek |
|
6 |
| MWSUG |
2007 |
Fit Your Data into the FREQ Procedure and More |
Dachao Liu |
|
7 |
| MWSUG |
2007 |
FreqLibname: A Data Review Routine For All Memnames in a Libname |
Ronald J. Fehd |
|
22 |
| MWSUG |
2007 |
SAS Graphs for BlackBerry, iPhone, PowerPoint, Word, Web/HTML, PDF, or RTF |
LeRoy Bessler |
|
44 |
| MWSUG |
2007 |
SAS Macros for Quick Summary Reporting and Uppercasing of All Variables |
Craig Balog |
|
4 |
| WUSS |
2007 |
A Guided Tour Through the SAS Windowing Environment |
Casey Cantrell |
source |
19 |
| WUSS |
2007 |
An Example of SAS Application in Public Health Research --- Predicting Smoking Behavior in Changqiao District, Shanghai, China |
Ding Ding |
source |
8 |
| WUSS |
2007 |
Automated Programming Techniques for the Data Warehouse Manager |
Renato G. Villacorte |
source |
6 |
| WUSS |
2007 |
Automating Regression Analysis and PDF Report Output with the Use of Macros: Tricks for Disabling Default Delimiters and Making Use of Counters |
Svetlana Smorodinsky,
Bob McLaughlin |
source |
7 |
| WUSS |
2007 |
BFF: Binary Flags Forever (Or, Boole's Paradise) |
David J. Pasta,
Eric P. Elkin |
source |
8 |
| WUSS |
2007 |
Data Mining Using SAS Enterprise Miner |
Randall Matignon |
source |
10 |
| WUSS |
2007 |
Detecting Possible Anomalies in Large Data Tables: Methods and Concepts |
Thomas E. Billings |
source |
7 |
| WUSS |
2007 |
Enhance Your Programming with SAS DATA Step Views |
Thomas E. Billings |
source |
6 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2007 |
MISSING VALUES: Everything You Ever Wanted to Know |
Malachy J. Foley |
source |
9 |
| WUSS |
2007 |
Producing an Automated Data Dictionary as an RTF File (or a Topic to Bring Up at a Party If You Want to Be Left Alone) |
Cyndi Williamson |
source |
9 |
| WUSS |
2007 |
Tap Into the Power of Formats |
Nikki M. Carroll |
source |
12 |
| WUSS |
2007 |
The Power of the BY Statement |
Toby Dunn,
Paul A. Choate |
source |
16 |
| WUSS |
2007 |
Time to Take the Wheel: A Hands-On Introduction to SAS Programming |
Casey Cantrell |
source |
20 |
| WUSS |
2007 |
Validation Techniques in Clinical Trails Using SAS Enterprise Guide |
Venkata R. Darbha |
source |
8 |
| PHUSE EU |
2007 |
Relationships between CDISC variables linking domains (relrec) |
Susan Fehrer,
Russell M. Lavery |
source |
12 |
| PHUSE EU |
2007 |
SAS Indexes: Benefits, Limits and Applications |
Carole Beaugendre |
source |
5 |
| SCSUG |
2007 |
A Hands-On Introduction to Using PROC TABULATE |
Thomas J. Winn Jr. |
|
20 |
| SCSUG |
2007 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
10 |
| SCSUG |
2007 |
SAS Formats - Simply Powerful |
Howard Hagemann |
|
12 |
| PNWSUG |
2007 |
Multiple comparisons on 2xc proportions |
John Horne |
|
12 |
| PNWSUG |
2007 |
Utilizing PHREG for Cox proportional hazards regression modeling with time-varying covariates |
Marla J. Husnik,
Eugene Huang |
|
14 |
| PharmaSUG |
2007 |
A SAS Macro for Rapid Checking the Data Records |
Heng Zou |
|
8 |
| PharmaSUG |
2007 |
Cochran-Armitage Trend Test Using SAS |
Hui Liu |
|
11 |
| PharmaSUG |
2007 |
Combining ODS Output Datasets to Increase Program Clarity and Reduce Macro Load |
Rod Norman |
|
7 |
| PharmaSUG |
2007 |
Data Review Program FreqAll - Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
18 |
| PharmaSUG |
2007 |
General Use Data Delivery Codebook/Data Dictionary |
Donna Medeiros |
|
6 |
| PharmaSUG |
2007 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
10 |
| PharmaSUG |
2007 |
PROC REPORT or DATA _NULL_: Which to Use and How to Make it Easier |
David W. Carr |
|
11 |
| PharmaSUG |
2007 |
Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies |
Alejandro Jaramillo |
|
12 |
| PharmaSUG |
2007 |
SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice |
Shi-Tao Yeh,
Scott D Patterson |
|
20 |
| PharmaSUG |
2007 |
Saving QC Time for Production Tables |
Linfeng Xu,
Sunil Kumar Gupta |
|
10 |
| PharmaSUG |
2007 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
|
21 |
| 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 |
| SGF |
2007 |
Building Your Own Real-Time SAS Server Monitor under UNIX |
Houliang Li |
source |
7 |
| SGF |
2007 |
Creating Tables of Contents in RTF Documents |
Electra Small |
source |
10 |
| SGF |
2007 |
Critical Success Factors for Rate Making with SAS Enterprise Miner |
Hrushikesh Khopkar,
Jay King |
source |
17 |
| SGF |
2007 |
CRSP Indices in SAS |
Taras Zlupko |
source |
12 |
| SGF |
2007 |
Data Mining to Investigate the Prescribing of Medications Longitudinally |
Mussie A. Tesfamicael |
source |
17 |
| SGF |
2007 |
How to Make the "Best Choice" from the Many Ways to Create and Deliver SAS Graphs |
LeRoy Bessler |
source |
20 |
| SGF |
2007 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
source |
10 |
| SGF |
2007 |
Latent Class Analysis in SAS-Promise, Problems, and Programming |
David M. Thompson |
source |
12 |
| SGF |
2007 |
Learning What You Didn't Know about Your Data |
Larry W. Douglass |
source |
16 |
| SGF |
2007 |
Making Sense of PROC TABULATE (updated for SAS9) |
Jonas V. Bilenas |
source |
16 |
| SGF |
2007 |
Making Web Results Relevant with SAS |
Russell D. Bartlett,
Jake Bultman,
David Albright |
source |
12 |
| SGF |
2007 |
People, Pattern, and Place: SAS/GRAPH Data Display of Immigration Activity across the United States |
Wendy B. Hines,
Constance Onwuegbuzie,
Anthony Dickinson |
source |
11 |
| SGF |
2007 |
Predicting Software Maintenance Outcomes Using Data Mining and Text Mining |
Uzma Raja |
source |
9 |
| SGF |
2007 |
Reusable SAS/GRAPH Stored Processes for Dashboarding |
Michael Sherwood,
Rick D. Thomas |
source |
13 |
| SGF |
2007 |
SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD |
Bonnie E. Williams,
Todd Kegan |
source |
12 |
| SGF |
2007 |
The FILENAME Statement Revisited |
Yves DeGuire |
source |
7 |
| SGF |
2007 |
The Power of the BY Statement |
Paul A. Dunn,
Toby Choate |
source |
16 |
| SGF |
2007 |
Ubiquitous Scoring of 1000+ Warranty Categories Using Predictive Rules Derived from Text |
Barry deVille |
source |
8 |
| SGF |
2007 |
Using SAS to Process Repeated Measures Data - A Hands-On Approach |
Terry Gareleck,
Cyndie B. Fain |
source |
12 |
| SGF |
2007 |
Win the Pennant! Use PROC FORMAT |
Marge Scerbo |
source |
13 |
| PNWSUG |
2006 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionery.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
10 |
| PNWSUG |
2006 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| PNWSUG |
2006 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
|
9 |
| PNWSUG |
2006 |
Traversing the Bridges Between SAS and ESRI ArcMap (Note: This is a 2.8mb Powerpoint file.) [presentation] |
Curtis E. Mack |
|
47 |
| MWSUG |
2006 |
How to use Summary Statistics as raw data to do basic statistical analysis |
Dachao Liu |
|
6 |
| MWSUG |
2006 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
12 |
| MWSUG |
2006 |
Matched Case-Control Techniques: A Data Manager's Case Study |
Matt P Shevrin |
|
12 |
| MWSUG |
2006 |
Nonparametric Inference for Ordered Alternatives in a One-Way Layout Using |
Paul Juneau |
|
15 |
| MWSUG |
2006 |
SAS Enterprise Guide Custom Tasks |
Alex Dmitrienko |
|
7 |
| MWSUG |
2006 |
SAS Macros for Statistical Analysis and Data Management |
Brandy R. Sinco |
|
14 |
| SCSUG |
2006 |
MISSING VALUES: Everything You Ever Wanted to Know |
Malachy J. Foley |
|
9 |
| SCSUG |
2006 |
Some SAS Techniques Used in Insurance Business |
Wei Yu |
|
4 |
| PHUSE EU |
2006 |
Self-validating data |
Christof Binder |
source |
7 |
| PHUSE EU |
2006 |
Sorting by formatted values |
Jim Groeneveld |
source |
4 |
| PHUSE EU |
2006 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
source |
21 |
| SESUG |
2006 |
An Annotated Guide: Using Proc Tabulate And Proc Summary to Validate SAS Code |
Russell M. Lavery |
source |
13 |
| SESUG |
2006 |
Answering the Right Question with the Right PROC |
Carrie Mariner |
source |
5 |
| SESUG |
2006 |
Creating RTF Tables with Univariate Analyses of Multiply Imputed Data |
Marie Gantz |
source |
14 |
| SESUG |
2006 |
Dup, Dedup, DUPOUT - New in PROC SORT |
Heidi Markovitz |
source |
5 |
| SESUG |
2006 |
Hexadecimals in SAS: Have You Been Hexed? |
Imelda C. Go |
source |
4 |
| SESUG |
2006 |
Individual Growth Analysis Using PROC MIXED |
Individual Growth |
source |
10 |
| SESUG |
2006 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
source |
9 |
| SESUG |
2006 |
My ODS - Real-World Uses of Modifying Table Templates |
Steve James |
source |
15 |
| SESUG |
2006 |
ODS: Odious or Not |
Janet E. Stuelpner |
source |
8 |
| SESUG |
2006 |
Selecting Variable Names into a Macro Variable Facilitates Data Analysis |
Fenggang Peng |
source |
4 |
| SESUG |
2006 |
Using Advanced Features of DDE to Customize Formatted Tables in Excel |
Dennis J. Beal,
Oak Ridge |
source |
16 |
| SESUG |
2006 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology |
Stuart D. Long |
source |
21 |
| SESUG |
2006 |
What's really in your data? A quick and easy utility to analyze any SAS dataset |
Michele Laughlin,
Thom Clay,
Jamila Ervin |
source |
9 |
| WUSS |
2006 |
A Researcher's Guide to Making Descriptive and Analytic Tables that are Ready to Publish |
Kathryn Martin |
source |
10 |
| WUSS |
2006 |
Between Automation and Exploration: SAS Graphing Techniques for Visualization of Survey Data |
Chong Ho Yu,
Samuel DiGangi |
source |
8 |
| WUSS |
2006 |
Clean Up Your Act: Data Cleaning with SAS |
Mel Widawski |
source |
9 |
| WUSS |
2006 |
Dynamic Code Creation Using Call Symput and the SAS Macro Language |
Mark Gustafson |
source |
4 |
| WUSS |
2006 |
Essential ODS Techniques for Creating Reports in PDF |
Patrick Thornton |
source |
6 |
| WUSS |
2006 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| WUSS |
2006 |
Guided Tour Through the SAS Windowing Environment |
Casey Cantrell |
source |
19 |
| WUSS |
2006 |
How to Analyze Terabytes of Data with a Word |
Mark Gustafson |
source |
8 |
| WUSS |
2006 |
Introduction to Formats: Simplifying Programming and Improving Data Presentation |
Elizabeth A. Roth |
source |
11 |
| WUSS |
2006 |
Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry |
Keiko I. Powers |
source |
8 |
| WUSS |
2006 |
Sample Survey Data and the Procs you OUGHT To Be Using |
David L. Cassell |
source |
13 |
| WUSS |
2006 |
Techniques For Introducing SAS To Novice Programmers |
Renato G. Villacorte |
source |
4 |
| WUSS |
2006 |
Testing for Verb Types in Spanish: An Application of SAS to Corpus Linguistics |
Roberto Mayoral Hernández,
Lindsey N. Chen |
source |
6 |
| WUSS |
2006 |
The Logic and Logistics of Logistic Regression |
Lawrence Rasouliyan,
Dave P. Miller |
source |
14 |
| WUSS |
2006 |
Time to Take the Wheel: A Hands-On Introduction to SAS Programming |
Casey Cantrell |
source |
20 |
| NESUG |
2006 |
Creating a Customized Table of Contents in ODS RTF Documents |
Electra Small |
|
11 |
| NESUG |
2006 |
Customizing PROC FREQ's Output for One- and Two-Way Tables |
Nan Liu,
Marcelo Coca-Perraillon |
|
8 |
| NESUG |
2006 |
Developing Applications Using BASE SAS And UNIX |
Joe Novotny |
|
10 |
| NESUG |
2006 |
How To Get Around the SAS Customer Support Web Site |
Marianne L. Whitlock |
|
6 |
| NESUG |
2006 |
How To Produce Almost Perfect RTF Output |
Suzanne M. Dorinski |
|
20 |
| NESUG |
2006 |
Identifying Duplicate Values |
Christopher J. Bost |
|
8 |
| NESUG |
2006 |
Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops |
Ronald J. Fehd |
|
9 |
| NESUG |
2006 |
Logistic Regression Basics |
Joseph J. Guido,
Paul Winters,
Adam Rains |
|
7 |
| NESUG |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
|
18 |
| NESUG |
2006 |
Statistical analysis of clustered data using SAS |
Gui-Shuang Ying,
Chengcheng Liu |
|
13 |
| NESUG |
2006 |
Survey Logistic Regression: Some SAS-SUDAAN Comparisons |
Xiuhua Chen |
|
7 |
| NESUG |
2006 |
Taming the World Bank Data Using SAS |
Michael S. Zdeb |
|
6 |
| NESUG |
2006 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
|
9 |
| NESUG |
2006 |
Using SAS to Analyze the Summary Data |
Zhenyi Xue |
|
6 |
| PharmaSUG |
2006 |
A Comparison Between SQL and Data Step and Some SAS Procedures |
LaTonya Murphy |
|
6 |
| PharmaSUG |
2006 |
Building Stronger Axes for Your SAS Graph Wagons |
Don (Dongguang) Li |
|
6 |
| PharmaSUG |
2006 |
Consistency Check: QC Across Outputs for Inconsistencies |
John Morrill |
|
11 |
| PharmaSUG |
2006 |
Macros to get to "Know Thy Data" |
Diane E. Foose |
|
14 |
| PharmaSUG |
2006 |
PROC FORMAT is Our Friend |
Erin M. Christen |
|
20 |
| PharmaSUG |
2006 |
Randomization in Clinical Trial Studies |
David Shen,
Zaizai Lu |
|
8 |
| PharmaSUG |
2006 |
The Skinny on Processing Very Large Health Claims Data Sets |
Gopal Rajagopal,
Blue Bell |
|
10 |
| SUGI |
2006 |
"PROC Photo": A Generic Method to Capture Time-Stamped States of Operational Tables |
Richard Mass�,
Luc Simon |
source |
8 |
| SUGI |
2006 |
%DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report |
Deqing Pei,
Cheng Cheng |
source |
8 |
| SUGI |
2006 |
A Comparison of the MIXED Procedure and the GLIMMIX Procedure |
Jennifer L. Ferrell |
source |
8 |
| SUGI |
2006 |
A Strategy for Managing Data Integrity Using SAS |
Brett J. Peterson |
source |
9 |
| SUGI |
2006 |
Application of Proc Discrim and Proc Logistic in Credit Risk Modeling |
Jin Li |
source |
9 |
| SUGI |
2006 |
Archival Documentation of a SAS Database via the Web |
Joel F. Achtenberg,
Elizabeth M. Hornbeck |
source |
10 |
| SUGI |
2006 |
Assessing Within- and Between-Individual Effects Using Correlated Data from an HIV Clinical Trial |
Marla J. Husnik,
Grant Colfax,
Eugene Huang |
source |
10 |
| SUGI |
2006 |
Combining the Power of ODS, Data Set Concatenation, and DDE to Output Customized Statistical Results from SAS to Microsoft Excel |
Navneet K. Dhand,
Jenny-Ann Toribio |
source |
10 |
| SUGI |
2006 |
Compass Rose in Stock Markets: The Power of SASECRSP LIBNAME |
Taras Zlupko |
source |
7 |
| SUGI |
2006 |
Data Profiling Using Base SAS Software: A Quick Approach to Understanding Your Data |
Susan J. Nowlin |
source |
8 |
| SUGI |
2006 |
Developing, Managing, and Evaluating a Standard Macro System |
Albert Mo |
source |
10 |
| SUGI |
2006 |
Dishing Up SAS/IntrNet Applications - A Second Helping of a Grand Recipe |
Jonah P. Turner |
source |
18 |
| SUGI |
2006 |
Efficient Construction of a "One-Row-per-Subject" Data Mart for Data Mining |
Gerhard Svolba |
source |
16 |
| SUGI |
2006 |
Exploiting the Link Between the Wilcoxon-Mann-Whitney Test and a Simple Odds Statistic |
Ralph G. O'Brien,
John M. Castelloe |
source |
12 |
| SUGI |
2006 |
Finding a Duplicate in a Haystack |
Brett J. Peterson |
source |
10 |
| SUGI |
2006 |
FREQ n' MEANS |
Marge Scerbo,
Michael S. Lajiness |
source |
19 |
| SUGI |
2006 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| SUGI |
2006 |
Graphical Analysis of Clandestine Methamphetamine Laboratories Utilizing PROC GMAP: A Visual Inventory of Activity across the United States |
Wendy B. Dickinson,
Anthony Onwuegbuzie,
Constance Hines |
source |
12 |
| SUGI |
2006 |
Implementing a Multiple Comparison Test for Proportions in a 2xc Crosstabulation in SAS |
Alan C. Elliott,
Joan S. Reisch |
source |
6 |
| SUGI |
2006 |
Litigation Data Analysis/Auditing/ETL for BI: Triplets Separated at Birth |
Nicholson E. Warman |
source |
15 |
| SUGI |
2006 |
Measure the Performance of Your SAS/IntrNet Applications |
Michael A. Raithel |
source |
19 |
| SUGI |
2006 |
Modeling Water Quality Trend in Long Term Time Series |
Anpalaki J. Ragavan,
George C. J. Fernandez |
source |
10 |
| SUGI |
2006 |
Performing Latent Class Analysis Using the CATMOD Procedure |
David M. Thompson |
source |
8 |
| SUGI |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
source |
18 |
| SUGI |
2006 |
SAS Web Analytics 5.2 - What's New? |
Jonathan E. Polito |
source |
19 |
| SUGI |
2006 |
Text Mining with "Holographic" Decision Tree Ensembles |
Barry deVille |
source |
7 |
| SUGI |
2006 |
The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures |
Katherine L. Baisden,
Paul Hu |
source |
11 |
| SUGI |
2006 |
The Power of the FORMAT Procedure |
Jonas V. Bilenas |
source |
9 |
| SUGI |
2006 |
The Utter Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
source |
13 |
| SUGI |
2006 |
Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
21 |
| SUGI |
2006 |
Using SAS to Process Repeated Measures Data |
Terry Fain,
Cyndie B. Gareleck |
source |
11 |
| SUGI |
2006 |
Web-Site Analytics - A Land Mine or a Gold Mine? |
Jerry J. Hosking |
source |
19 |
| PNWSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| SESUG |
2005 |
%CHECKDATA: An Enhanced Data Diagnostic Macro |
John Stanmeyer |
source |
8 |
| SESUG |
2005 |
_05 Renaming SAS Variables |
Imelda C. Go |
source |
6 |
| SESUG |
2005 |
A Quick Tour of SAS ETL Studio to Build a Data Mart |
Kari Richardson |
source |
20 |
| SESUG |
2005 |
An Introduction to the Simplicity and Power of SAS/GRAPH |
Daniel E. Bruns |
source |
19 |
| SESUG |
2005 |
Clustering Analysis of Micro Array Data |
John Schwarz |
source |
12 |
| SESUG |
2005 |
Formats, Informats and How to Program with Them |
H. Ian Whitlock |
source |
15 |
| SESUG |
2005 |
MISSING VALUES: Everything You Ever Wanted to Know |
Malachy J. Foley |
source |
8 |
| SESUG |
2005 |
Speaking Klingon: A Translator's Guide to PROC TABULATE |
Dianne Louise Rhodes |
source |
14 |
| SESUG |
2005 |
Summarizing Data with Base SAS PROCs |
Deborah B. Buck |
source |
11 |
| SESUG |
2005 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
source |
8 |
| SESUG |
2005 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
source |
21 |
| SESUG |
2005 |
Using SAS to Process Repeated Measures Data |
Terry Fain |
source |
10 |
| SCSUG |
2005 |
Maintaining Inherited SAS Code |
Clarence W. Jackson |
|
9 |
| SCSUG |
2005 |
MP CONNECT: Warp Engine for SAS (Multi-Processing in the Sun Solaris Environment) |
Pablo J. Nogueras |
|
14 |
| SCSUG |
2005 |
ODS Output of Proc SurveyMeans for a Bobcat Hunter Survey |
Rebecca G. Frederick,
E. Barry Moser,
Greg Linscombe,
Mike Olinde |
|
18 |
| SCSUG |
2005 |
Summarizing Data with Base SAS PROCs |
Deborah B. Buck |
|
11 |
| PHUSE EU |
2005 |
Data Mining in a Pharmaceutical Environment |
Franky De Cooman |
source |
4 |
| PHUSE EU |
2005 |
Empty lines in SAS tables (list output and ODS RTF) produced by Proc Tabulate |
Twan van Berkel |
source |
15 |
| PHUSE EU |
2005 |
It's Proc Tabulate Jim, but not as we know it! |
Robert Walls |
source |
11 |
| MWSUG |
2005 |
44 Tricks with the 4mat Procedure |
Ben Cochran |
|
7 |
| MWSUG |
2005 |
A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients |
Jennifer Ferrell |
|
7 |
| MWSUG |
2005 |
Introduction To SAS Business Intelligence/Enterprise Guide |
Alex Dmitrienko |
|
13 |
| MWSUG |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard |
|
26 |
| MWSUG |
2005 |
SAS And Unix: Techniques For Developing Your Toolbox |
Joe Novotny |
|
7 |
| MWSUG |
2005 |
SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting |
Alex Dmitrienko |
|
9 |
| MWSUG |
2005 |
SAS Enterprise Guide: Introduction To Stored Processes And Custom Tasks |
Alex Dmitrienko |
|
7 |
| MWSUG |
2005 |
What's New And Upcoming In SAS 9 ODS |
Tim Hunter |
|
38 |
| MWSUG |
2005 |
Where Proc Freq Ends And Proc Report Begins |
Thushan Wijesinghe |
|
9 |
| WUSS |
2005 |
A Meeting of the Minds |
Kathryn A. Valdes |
source |
7 |
| WUSS |
2005 |
A Programmer's Guide to Statistical Procedures |
Jim Edgington |
source |
4 |
| WUSS |
2005 |
Can Matrix Capture Missing Data Values? |
Keh-Dong Shiang |
source |
9 |
| WUSS |
2005 |
Effects of PROC EXPAND Data Interpolation on Time Series Modeling when the Data are Volatile or Complex |
Keiko I. Powers |
source |
7 |
| WUSS |
2005 |
Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG |
Tyler C. Smith,
Besa Smith |
source |
18 |
| WUSS |
2005 |
MISSING VALUES: Everything You Ever Wanted to Know |
Malachy J. Foley |
source |
8 |
| WUSS |
2005 |
Producing Multipurpose Metadata for Data Quality and a Data Dictionary |
John E. Bentley |
source |
19 |
| WUSS |
2005 |
The Use of Formats, Concatenate and Sum for Reporting on "Check All That Apply" Variables |
Lara Jungvig-Hilton |
source |
4 |
| NESUG |
2005 |
%DIAGNOS: a Macro for a Quick Look Into the Inside of Your Data Set |
Yin You |
|
3 |
| NESUG |
2005 |
A Data Comparison Utility |
George P. Sharrard |
|
11 |
| NESUG |
2005 |
A Painless Approach to Convert SAS Statistical Outputs to Presentations |
Hongwei Zhang |
|
3 |
| NESUG |
2005 |
A Quick Look at Change in a Longitudinal Study |
Virginia Towle |
|
3 |
| NESUG |
2005 |
A Quick Tour of SAS ETL Studio to Build a Data Mart |
Kari Richardson |
|
20 |
| NESUG |
2005 |
A SAS Programmer's Guide to Project - and Program-Level Quality Control |
Paul Gorrell |
|
15 |
| NESUG |
2005 |
An Introduction to the Simplicity and Power of SAS/GRAPH |
Daniel E. Bruns |
|
19 |
| NESUG |
2005 |
An Introduction to Wavelet Analysis with SAS |
Michael Lane |
|
10 |
| NESUG |
2005 |
Freq n' Means |
Marge Scerbo,
Michael S. Lajiness |
|
19 |
| NESUG |
2005 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| NESUG |
2005 |
ODS Step by Step |
Wendi L. Wright |
|
19 |
| NESUG |
2005 |
Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You |
Elizabeth Axelrod,
David Shamlin |
|
9 |
| NESUG |
2005 |
The Power of PROC FORMAT Updated for SAS9. |
Jonas V. Bilenas |
|
8 |
| PharmaSUG |
2005 |
%PREFTAB - A macro to automatically create adverse event, medical history and concomitant medication tables |
Wilfried Esken |
|
11 |
| PharmaSUG |
2005 |
A Simple, Inexpensive Solution to the Dilemma of SAS Training |
Erin M. Christen |
|
4 |
| PharmaSUG |
2005 |
Analyzing and Displaying Study Data in Clinical Trials Made Easy |
Denise J. Smith |
|
15 |
| PharmaSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| PharmaSUG |
2005 |
Generating Customized Analytical Reports from SAS Procedure Output |
Brinda Bhaskar,
Kennan Murray |
|
9 |
| PharmaSUG |
2005 |
Oh No, a Zero Row: 5 Ways to Summarize Absolutely Nothing |
Stacey D. Phillips,
Gary Klein |
|
5 |
| PharmaSUG |
2005 |
Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) |
David Olaleye,
Michael Kilhullen,
Gail Kongable,
Tanyss Mason,
Eugenia Bastos,
Edward D. Helton |
|
8 |
| PharmaSUG |
2005 |
Programming Tips and Examples for Your Toolkit, II |
John Morrill |
|
12 |
| PharmaSUG |
2005 |
Remembering the Past: Ensuring Quality though Historical Benchmarking |
Marc-Paul Lee |
|
8 |
| PharmaSUG |
2005 |
Selected SAS Macro and SQL Techniques For Efficient Analysis Programming |
Brian P. Fairfield-Carter |
|
12 |
| PharmaSUG |
2005 |
Smoothing Techniques for Pharmacokinetic and Pharmacodynamic Profiles |
Naum M. Khutoryansky |
|
5 |
| PharmaSUG |
2005 |
Statistical Table Specifications and Automatic Code Generation using XML |
Alan Hopkins,
Linda Collins |
|
7 |
| PharmaSUG |
2005 |
The Use and Abuse of the Program Data Vector (The Procs) |
Jim Johnson |
|
17 |
| PharmaSUG |
2005 |
There's No Such Thing as Normal Clinical Trials Data, or Is There? |
Daphne E. Ewing |
|
14 |
| PharmaSUG |
2005 |
To Macro or Not To Macro? |
Amy Gillespie,
Blue Bell |
|
8 |
| PharmaSUG |
2005 |
Using Proc Freq for Manageable Data Summarization |
Curtis Wolf |
|
6 |
| PharmaSUG |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
|
10 |
| PharmaSUG |
2005 |
Using SAS/IntrNet as a Web-Enabled Platform for Clinical Reporting |
Paul M. Gilbert |
|
6 |
| PharmaSUG |
2005 |
Utility Macros Used in the Process for Database Translations |
Yuguang Zhao,
Jingchun Yu |
|
3 |
| PharmaSUG |
2005 |
Validating Data Using SAS Formats as a Programming Tool |
John R. Gerlach |
|
11 |
| PharmaSUG |
2005 |
Visualizing Minimum Spanning Tree (Working with Pharmacal Genetic data) |
Zhuoye Xu,
Xiaohui Wang |
|
6 |
| PharmaSUG |
2005 |
What's New in PROC FREQ Procedure, Version 9 |
Jyotheeswara Naidu Yellanki |
|
8 |
| SUGI |
2005 |
A Macro to Calculate Kappa Statistics for Categorizations by Multiple Raters |
Bin Chen,
Lynn Seel,
Dennis Zaebst |
source |
6 |
| SUGI |
2005 |
A Quick Tour of SAS ETL Studio to Build a Data Mart |
Eric Rossland,
Kari Richardson |
source |
20 |
| SUGI |
2005 |
An Easy-to-Use SAS Table Formatting Macro: Stand-Alone, Flexible, and Quick |
Zbigniew A. Kadziola |
source |
8 |
| SUGI |
2005 |
An Introduction to the Simplicity and Power of SAS/GRAPH |
Daniel E. Bruns |
source |
19 |
| SUGI |
2005 |
Benchmarking Character String Replacement |
Bruce F. Gilsen |
source |
10 |
| SUGI |
2005 |
Calculation of the Kappa Statistic for Inter-Rater Reliability: The Case Where Raters Can Select Multiple Responses from a Large Number of Categories |
Catherine R. Stein,
Raymond B. Devore,
Barbara E. Wojcik |
source |
8 |
| SUGI |
2005 |
Combining Decision Trees with Regression in Predictive Modeling with SAS Enterprise Miner |
Kattamuri S. Sarma |
source |
10 |
| SUGI |
2005 |
Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS Output Delivery System (ODS) |
Stuart D. Long |
source |
17 |
| SUGI |
2005 |
Creating and Using SAS Stored Processes with SAS Enterprise Guide |
Eric Rossland,
Kari Richardson |
source |
20 |
| SUGI |
2005 |
Data Profiling: Designing the Blueprint for Improved Data Quality |
Brett Dorr,
Pat M. Herbert |
source |
10 |
| SUGI |
2005 |
Everybody Loves SAS! They Just Don't Know It Yet |
Denise A. Figliozzi,
David Steves |
source |
4 |
| SUGI |
2005 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
source |
12 |
| SUGI |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard,
Brenda Wolfe |
source |
26 |
| SUGI |
2005 |
My Friend the SAS Format |
Andrew H. Karp |
source |
12 |
| SUGI |
2005 |
Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables |
David J. Pasta |
source |
20 |
| SUGI |
2005 |
Power Simulation for Categorical Data Using the RANTBL Function |
Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness |
source |
12 |
| SUGI |
2005 |
PROC FORMAT - Not Just Another Pretty Face |
Lois Levin |
source |
12 |
| SUGI |
2005 |
PROC FREQ and PROC MEANS: To Stat or Not to Stat |
Marge Scerbo,
Michael S. Lajiness |
source |
17 |
| SUGI |
2005 |
Producing Multipurpose Metadata for Data Quality and a Data Dictionary |
John E. Bentley |
source |
19 |
| SUGI |
2005 |
Publishing Jack Vance: The SAS System as a Tool for Literary Analysis |
Koen Vyverman |
source |
23 |
| SUGI |
2005 |
Remote Compute Services Simply Stated |
James C. Stokes |
source |
3 |
| SUGI |
2005 |
SAS 8 Is Seen in the Rearview Mirror: Generate Statistical Graphics Using ODS in SAS9 |
Wei Cheng |
source |
10 |
| SUGI |
2005 |
Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants |
Eugene Brusilovskiy |
source |
9 |
| SUGI |
2005 |
Speaking Klingon: A Translator's Guide to PROC TABULATE |
Dianne Louise Rhodes |
source |
14 |
| SUGI |
2005 |
Teaching Data Mining in a University Environment |
David A. Dickey |
source |
11 |
| SUGI |
2005 |
Text Utility Macros for Manipulating Lists of Variable Names |
Robert J. Morris |
source |
7 |
| SUGI |
2005 |
The Basics of Using SAS Indexes |
Michael A. Raithel |
source |
9 |
| SUGI |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
source |
10 |
| SUGI |
2005 |
Using SAS to Process Repeated Measures Data |
Terry Fain,
Cyndie B. Gareleck |
source |
10 |
| NESUG |
2004 |
A Data Comparison Utility |
George P. Sharrard |
|
11 |
| NESUG |
2004 |
A SAS Macro for Naive Bayes Classification |
Vadim Pliner |
|
6 |
| NESUG |
2004 |
An Animated Guide: Proc UCM |
Russell M. Lavery |
|
23 |
| NESUG |
2004 |
Automating the Production of Formatted Item Frequencies using Survey Metadata |
Tim Tilert,
Jane Zhang,
Lewis Berman |
|
7 |
| NESUG |
2004 |
Benchmarking Character String Replacement |
Bruce F. Gilsen |
|
10 |
| NESUG |
2004 |
Building Logistic Regression Models to Analyze Survey Data with Complex Sampling Design |
Zhenyi Xue,
Euni Lee,
Monika Datary,
Anthony Wutoh |
|
4 |
| NESUG |
2004 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
|
10 |
| NESUG |
2004 |
Creating Estimated Data to Match Data Characteristics from a Desired Group |
Towanda Sullivan |
|
8 |
| NESUG |
2004 |
Generating Customized Analytical Reports from SAS Procedure Output |
Brinda Bhaskar,
Kennan Murray |
|
12 |
| NESUG |
2004 |
Macro Madness: Creating Macro Calls using PROC FREQ |
Wendi L. Wright |
|
13 |
| NESUG |
2004 |
Macros: Code Cutters or Code Generators' |
Prashant Mittal |
|
7 |
| NESUG |
2004 |
Making a SYLK File from SAS Data - or - Another Way to Excel using SAS |
Cynthia A. Stetz |
|
12 |
| NESUG |
2004 |
Optimizing Large Data Imports from a Relational Database Management System |
Francis Harvey III |
|
10 |
| NESUG |
2004 |
PROC FORMAT - Not Just Another Pretty Face |
Lois Levin |
|
11 |
| NESUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
|
18 |
| NESUG |
2004 |
Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You |
Elizabeth Axelrod,
David Shamlin |
|
10 |
| NESUG |
2004 |
Speaking Klingon: A Translator's Guide to PROC TABULATE |
Dianne Louise Rhodes |
|
13 |
| NESUG |
2004 |
The Fundamentals of Efficiency |
Robert Virgile |
|
5 |
| NESUG |
2004 |
The Power of PROC FORMAT; Updated for SAS8 and SAS9 |
Jonas V. Bilenas |
|
4 |
| NESUG |
2004 |
The Utter Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
|
13 |
| NESUG |
2004 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
|
17 |
| NESUG |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
|
22 |
| SCSUG |
2004 |
Data Quality and Base SAS |
Clarence W. Jackson |
|
6 |
| SCSUG |
2004 |
Fishing in Texas with SAS |
Richard Glenn Willey |
|
4 |
| SCSUG |
2004 |
SAS and Multivariate Music: A GUI for Multivariate Analysis of Musical Instrumentation Digital Interface (MIDI) Data |
Lisa Cannon,
Cecil R. Hallum |
|
11 |
| SCSUG |
2004 |
Start with SAS with a few quick easy steps |
Zeke Torres |
|
4 |
| SCSUG |
2004 |
Teacher Evaluations - A tutorial in some advanced features of SAS |
Glenn Millard |
|
19 |
| SESUG |
2004 |
A Quick and Dirty Query System using HTML, Proc SQL, and SAS IntrNet |
Kevin McGowan |
source |
7 |
| SESUG |
2004 |
Binary Logistic Regression Model Optimization |
Jerry Musial |
source |
6 |
| SESUG |
2004 |
Building Efficient State Transition Diagrams from Charges, Collection and Call Detail Transactional Feeds |
Brett C. Peppe |
source |
19 |
| SESUG |
2004 |
Case Studies in Time Series: Periodic Behavior and Related Issues |
Periodic Behavior,
Related Issues,
David A. Dickey |
source |
16 |
| SESUG |
2004 |
Creating and Exploiting SAS Indexes |
Michael A. Raithel |
source |
9 |
| SESUG |
2004 |
Exceptional Exception Reports |
Gary M. McQuown |
source |
10 |
| SESUG |
2004 |
Here's the Data, Here's the Report I Want - How Do I Get There? |
Deborah B. Buck |
source |
8 |
| SESUG |
2004 |
The Utter "Simplicity?" of the TABULATE Procedure - The Final Chapter? |
Daniel E. Bruns |
source |
13 |
| SESUG |
2004 |
Tricks with the 4mat Procedure |
Ben Cochran |
source |
6 |
| SESUG |
2004 |
TU-09 Speaking Klingon: The Power of PROC TABULATE |
Dianne Louise Rhodes |
source |
13 |
| SESUG |
2004 |
Using Dynamic Data Exchange to Customize Formatted Reports in Microsoft Excel |
Dennis J. Beal |
source |
19 |
| SESUG |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
source |
22 |
| WUSS |
2004 |
Automatically Generating a Customized Table for Summarizing the Activities in Clinics |
Yan Xu,
Joyce X. Wu,
Han Wu |
source |
5 |
| WUSS |
2004 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
source |
16 |
| WUSS |
2004 |
Empirical Investigation of Time Series Frequency Conversion with PROC EXPAND |
Keiko I. Powers |
source |
9 |
| WUSS |
2004 |
Macro Arrays Make %DO-Looping Easy |
Ted Clay |
source
zip |
8 |
| WUSS |
2004 |
Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables |
David J. Pasta |
source |
12 |
| WUSS |
2004 |
SAS Programming for the Pharmaceutical Industry |
Brian C. Shilling,
Carol Matthews |
source |
4 |
| WUSS |
2004 |
The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures |
Katherine L. Baisden |
source |
20 |
| WUSS |
2004 |
The Position of Frequency Adverbials in Spanish: An Application of SAS to Corpus Linguistics |
Roberto Mayoral Hernández |
source |
10 |
| WUSS |
2004 |
The Utter Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
source |
13 |
| WUSS |
2004 |
Time Series Magic: Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
source |
8 |
| WUSS |
2004 |
Using Proc Freq for Manageable Data Summarization |
Curtis Wolf |
source |
5 |
| WUSS |
2004 |
V8 is seen in rearview mirror - generate statistical graphics using ODS in SAS? 9 |
Wei Cheng |
source |
11 |
| WUSS |
2004 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
12 |
| MWSUG |
2004 |
Analysis of Complex Sample Survey Data |
Patricia A. Berglund |
|
7 |
| MWSUG |
2004 |
Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS ODS |
Stuart D. Long,
Lawrence Park |
|
17 |
| MWSUG |
2004 |
CRM: Making it Simple for the Banking Industry |
Aslam Chaudhry |
|
11 |
| MWSUG |
2004 |
Exceptional Exception Reports |
Gary M. McQuown |
|
10 |
| MWSUG |
2004 |
Explore, Analyze, and Summerize Your Data with SAS Software:Selecting the Most Appropriate Power Tool from a Rich Portfolio |
LeRoy Bessler |
|
20 |
| MWSUG |
2004 |
Producing HTML Reports with ODS |
James T. Kardasis |
|
8 |
| MWSUG |
2004 |
Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You |
Elizabeth Axelrod,
David Shamlin |
|
10 |
| MWSUG |
2004 |
Using SAS at SAS: The timing of SAS Tech Support |
Annette M. Sanders,
Craig DeVault |
|
22 |
| MWSUG |
2004 |
Using SAS Special Missing Values to Enhance Display and Analysis of Survey Research Data |
Francine Cannarozzi |
|
5 |
| PNWSUG |
2004 |
ODS Tips and Tricks |
Lauren E. Haworth |
|
7 |
| PNWSUG |
2004 |
SAS with Style: Creating your own ODS Style Template for RTF Output |
Lauren E. Haworth |
|
10 |
| PharmaSUG |
2004 |
"Haven't We Met Somewhere Before?" and Other Useful Lines (of code) to Get to Know Their Data (Version 2.0) |
David Rucker |
|
10 |
| PharmaSUG |
2004 |
2D-gel Proteomics in Biomarker Discovery |
Mark Carpenter,
Craig Rowell,
Heath McCorkle,
Coral Lamartiniere |
|
7 |
| PharmaSUG |
2004 |
A Macro Generating a Report-Ready Table in Different Layout and Format |
Renda Cheng |
|
12 |
| PharmaSUG |
2004 |
CheckAll: a Routine to Produce A Frequency of Response Data Set from Multiple-Response Data |
Ronald J. Fehd |
|
5 |
| PharmaSUG |
2004 |
Common Error: Wrong Result |
Varsha C. Shah |
|
5 |
| PharmaSUG |
2004 |
Data Summary at a Glance |
Varsha C. Shah |
|
8 |
| PharmaSUG |
2004 |
Frequency Generation Using Indicator Variable |
Jinshi Zhou |
|
3 |
| PharmaSUG |
2004 |
INVALID: a Data Review Macro Using PROC FORMAT Option OTHER=INVALID to Identify and List Outliers |
Ronald J. Fehd |
|
5 |
| PharmaSUG |
2004 |
One Frequency Macro for All Frequency Tables |
Sam Mao |
|
9 |
| PharmaSUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
|
18 |
| PharmaSUG |
2004 |
SAS Application in 2x2 Crossover Clinical Trial |
Wuwei Wayne Feng |
|
10 |
| PharmaSUG |
2004 |
SAS with Style: Creating your own ODS Style Template for RTF Output |
Lauren E. Haworth |
|
20 |
| PharmaSUG |
2004 |
Tools to Facilitate the Creation of Pooled Clinical Trials Databases |
Patricia Majcher |
|
8 |
| SUGI |
2004 |
A SAS Program Computes the Crude, Stratified and Mantel-Haenszel Odds Ratio for Case-Control Study Analysis of Nx2xK Tables |
Ilene K. Brill,
Fabio Barbone |
source |
10 |
| SUGI |
2004 |
Basic SAS PROCedures for Generating Quick Results |
Kirk Paul Lafler |
source |
17 |
| SUGI |
2004 |
Case Studies in Time Series II: Periodic Behavior and Related Topics |
David A. Dickey |
source |
17 |
| SUGI |
2004 |
Creating and Exploiting SAS Indexes |
Michael A. Raithel |
source |
10 |
| SUGI |
2004 |
CRM: Making it Simple for the Financial/Banking Industry |
M. Aslam Chaudhry |
source |
12 |
| SUGI |
2004 |
DATA: "Getting to Know You; Getting to Know All About You" |
Larry W. Douglass,
Sue E. Douglass |
source |
17 |
| SUGI |
2004 |
Guiding Your Enterprise with SAS Enterprise Guide |
David H. Johnson |
source |
16 |
| SUGI |
2004 |
Head of the CLASS: Impress Your Colleagues with a Superior Understanding of the CLASS Statement in PROC LOGISTIC |
Michelle L. Pritchard,
David J. Pasta |
source |
9 |
| SUGI |
2004 |
Improve Your Queries: Hints and Tips for Using SQL |
Marje Fecht,
Linda A. Mitterling |
source |
11 |
| SUGI |
2004 |
Improving Peformance: Accessing DB2 Data with SAS 9 |
Scott Fadden |
source |
17 |
| SUGI |
2004 |
Making Music in SAS: Using Sound to Alert Users of Errors and Data Discrepancies |
David A. Fielding |
source |
6 |
| SUGI |
2004 |
Message Queue-Based Scoring Interface |
David R. Duling,
Robert Chu |
source |
6 |
| SUGI |
2004 |
Mrs. Clean Tackles Dirty Data |
Janet E. Stuelpner |
source |
5 |
| SUGI |
2004 |
PROC FREQ - What's It Really Good For? |
Theresa Gordon,
Monique Eleby |
source |
4 |
| SUGI |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss |
source |
19 |
| SUGI |
2004 |
Pure Evil, or Just Misunderstood? An Interview with PROC TEMPLATE |
Kevin Payton Delaney |
source |
20 |
| SUGI |
2004 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
source |
7 |
| SUGI |
2004 |
SAS Macros for Large Scale Data Analysis and Quality Management of Corporate Actuarial Data Mart |
Dennis X. Tang,
Don Cooper |
source |
8 |
| SUGI |
2004 |
SAS with Style: Creating your own ODS Style Template for RTF Output |
Lauren E. Haworth |
source |
21 |
| SUGI |
2004 |
Skinning the Cat This Way and That: Using ODS to Create Word Documents That Work for You |
Elizabeth Axelrod,
David Shamlin |
source |
11 |
| SUGI |
2004 |
Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events |
Gary G. Koch,
Maura E. Stokes |
source |
21 |
| SUGI |
2004 |
To Rake or Not to Rake Is Not the Question Anymore with the Enhanced Raking Macro |
David Izrael,
David C. Hoaglin,
Michael P. Battaglia |
source |
12 |
| SUGI |
2004 |
Using Edit-Distance Functions to Identify "Similar" E-Mail Addresses |
Howard L. Schreier |
source |
9 |
| SUGI |
2004 |
Using SAS at SAS: The Mining of SAS Technical Support |
Annette M. Sanders,
Craig DeVault |
source |
23 |
| SUGI |
2004 |
Using SAS to Match Cases for Case Control Studies |
Hugh Kawabata,
Michelle Tran,
Patricia Hines |
source |
8 |
| SUGI |
2004 |
Using Styles and Templates to Customize SAS ODS Output |
Sunil Kumar Gupta |
source |
17 |
| WUSS |
2003 |
A Macro Advantage From Consistent Variable Naming |
Patrick Thornton |
source |
4 |
| WUSS |
2003 |
Advanced Analytics with Enterprise Guide |
Catherine Truxillo,
Stephen McDaniel |
source |
9 |
| WUSS |
2003 |
Answering Your Questions with Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
Creating Output Data Sets From Almost Any Procedure Using The Output Delivery System |
Curtis A. Smith |
source |
6 |
| WUSS |
2003 |
Detecting Anomalies In Your Data Using Rounded Numbers |
Curtis A. Smith |
source |
5 |
| WUSS |
2003 |
Efficient Statistical Programming? Let's Be Creative With Those SAS Steps |
Keiko I. Powers |
source |
7 |
| WUSS |
2003 |
Getting Familiar with SAS Version 8.2 and 9.0 Enhancements |
Sunil Kumar Gupta |
source |
9 |
| WUSS |
2003 |
LIFETEST+ODS+IML=Stratified Log Rank Tests |
Ann Olmsted |
source |
5 |
| WUSS |
2003 |
Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women |
Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak |
source |
6 |
| WUSS |
2003 |
Methods of Producing Datasets with Unique Record per Id Number |
Alexander Khartchenko,
Irina V. Tolstykh,
Natalia V. Udaltsova |
source |
4 |
| WUSS |
2003 |
Picturing Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
SAS with Style: Creating Your Own ODS Style Template |
Lauren E. Haworth |
source |
9 |
| WUSS |
2003 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
4 |
| WUSS |
2003 |
Statistical Analysis of Gene-Environment Data |
Jimmy Thomas Efird |
source |
3 |
| WUSS |
2003 |
Taming Your Metadata Part I: Getting data dictionary and codebook from your SAS databases |
Peter Godard |
source |
6 |
| WUSS |
2003 |
The Quandary of Survey Data: Comparison of SAS Procedures and SUDAAN Procedures |
Katherine L. Baisden |
source |
6 |
| WUSS |
2003 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
source |
7 |
| WUSS |
2003 |
Using SAS for Classical Item Analysis and Option Analysis |
Chong Ho Yu,
Josephine Wai-chi Wong |
source |
6 |
| WUSS |
2003 |
Using Transition Matrices for Analysis of System Changes Over Time |
Paul A. Choate |
source |
3 |
| WUSS |
2003 |
Whittle While You Work-Looking Less Dopey Using SAS Efficiencies (And Make Your Clients Go From Grumpy To Happy) |
Nikki Carroll,
Frank A. Ferriola |
source |
5 |
| SCSUG |
2003 |
Elementary Statistics Using Base SAS |
Deborah B. Buck |
|
9 |
| SCSUG |
2003 |
Getting Familiar with SAS Version 8.2 and 9.0 Enhancements |
Sunil Kumar Gupta |
|
9 |
| SCSUG |
2003 |
SAS Table Design - The Good, The Bad, and The Ugly |
Kenneth Bissett |
|
7 |
| SESUG |
2003 |
A Sampler of Code Techniques |
H. Ian Whitlock |
source |
6 |
| SESUG |
2003 |
A Table-Driven ODS Macro |
Diane E. Brown |
source |
8 |
| SESUG |
2003 |
Am I Evil?? PROC TEMPLATE Exposed |
Kevin Payton Delaney |
source |
10 |
| SESUG |
2003 |
Bookmarks, links and it looks great printed too. Come in and see what ODS PDF can do for you |
Kevin Payton Delaney |
source |
9 |
| SESUG |
2003 |
Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) |
Stuart D. Long,
Lawrence Park |
source |
10 |
| SESUG |
2003 |
Information System for State Trauma Advisory Committee - An application of SAS/IntrNet |
Xiao (Michelle) Zhuang,
Sharon Schiro |
source |
4 |
| SESUG |
2003 |
Missing Data Values: Analyzing their Effects on Rainfall Forecasts Using PROC EXPAND and the SAS Time-Series Forecasting System |
Richard A. March |
source |
4 |
| SESUG |
2003 |
SAS Formats: Uses and Abuses |
Carry W. Croghan |
source |
6 |
| SESUG |
2003 |
The Utter Simplicity and PPoowweerr of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SESUG |
2003 |
What is Missing in SAS? |
Imelda C. Go |
source |
5 |
| SESUG |
2003 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
9 |
| MWSUG |
2003 |
44 Tricks with the 4mat Procedure |
Ben Cochran |
|
3 |
| MWSUG |
2003 |
A Table-Driven ODS Macro |
Diane E. Brown |
|
8 |
| MWSUG |
2003 |
Using SAS Special Missing Values to Enhance Display and Analysis of Survey Research Data |
Francine Cannarozzi |
|
3 |
| MWSUG |
2003 |
Working with SAS Data and Time Functions |
Andrew H. Karp |
|
9 |
| NESUG |
2003 |
A Partitioning Method for Processing Large Data Files |
Anshuman Panigrahi,
John R. Gerlach |
|
4 |
| NESUG |
2003 |
Building Metadata Repository for Data Sets |
Haiping Luo,
Haining Luo |
|
4 |
| NESUG |
2003 |
Comparative Efficiency of SQL and Base Code When Reading from Database Tables and Existing Data Sets |
Steven H. Feder |
|
5 |
| NESUG |
2003 |
Drawing Multiple Random Samples with Replacement |
Charles A. DePascale |
|
2 |
| NESUG |
2003 |
Enterprise Guide -- A Code-Free Approach to Data Analysis and Reporting |
Rachel Jiang,
Edward Heaton |
|
10 |
| NESUG |
2003 |
PROC DOC and Beyond: Is PROC CONTENTS Enough? |
Louise S. Hadden |
|
4 |
| NESUG |
2003 |
PROC MI as the Basis for a Macro for the Study of Patterns of Missing Data |
Carl E. Pierchala |
|
8 |
| NESUG |
2003 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
|
14 |
| NESUG |
2003 |
The Best of Cheesy, Sleazy SAS' Tricks |
Michael L. Davis |
|
2 |
| NESUG |
2003 |
The Utter Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
|
7 |
| NESUG |
2003 |
There's No Such Thing as Normal Clinical Trials Data, or Is There? |
Daphne E. Ewing |
|
15 |
| NESUG |
2003 |
Tips for Manipulating Data |
Marge Scerbo |
|
10 |
| NESUG |
2003 |
Using Visual Basic with SAS to Produce Statistical Reports |
Matthew Campbell |
|
10 |
| SEUGI |
2003 |
Getting to know retail customers [presentation] |
Megan Fitzsimmons |
source |
18 |
| SEUGI |
2003 |
Making the most of Business Intelligence with SAS Data Quality [presentation] |
Paul Padley |
source |
37 |
| SEUGI |
2003 |
Modelling the impact of climate change and weather related events [presentation] |
Seong Who Choo |
source |
31 |
| SEUGI |
2003 |
SAS - Analytical CRM for Electricity Utilities [presentation] |
Ales Rojik |
source |
28 |
| SEUGI |
2003 |
SAS in Insurance [presentation] |
David Hartley |
source |
28 |
| SEUGI |
2003 |
SAS Marketing Optimization [presentation] |
Neil Hayward |
source |
28 |
| SEUGI |
2003 |
SAS: a Tool for the Technical Control of the Motor Insurance Management? [presentation] |
Villan |
source |
56 |
| SEUGI |
2003 |
Text Mining for tourism - The world of typical high quality restaurants in Piedmont [presentation] |
Roberto Fontana |
source |
78 |
| SEUGI |
2003 |
The real impact of intelligent fraud prevention at Standard Bank [presentation] |
George Daminov |
source |
23 |
| SEUGI |
2003 |
The Value of Text Mining in Pharmaceutical Laboratories [presentation] |
Elisabeth Maurice |
source |
29 |
| SEUGI |
2003 |
Towards an automated procedure for annotation of gene products through SAS Methods [presentation] |
Henrik Tveit |
source |
26 |
| VIEWS |
2003 |
Analysing Binary Outcome Data from a Crossover Design Study using the SAS System |
Anna Pictor |
presentation |
8 |
| VIEWS |
2003 |
Saving Time: Large reports using SAS Macros and ODS RTF |
Jonathan Goddard |
presentation |
3 |
| PharmaSUG |
2003 |
A SAS Macro for Simple Statistical Summary |
Michael Gunshenan |
|
10 |
| PharmaSUG |
2003 |
Creating "that other" Laboratory Listing: Let PROC TRANSPOSE, FREQ, CONTENTS and REPORT Do the Job for You |
Luis F. Albarran |
|
4 |
| PharmaSUG |
2003 |
Integrating SAS and Microsoft Office for Analysis and Reporting of Hearing Loss in Occupational Health Management |
George Bukhbinder,
Michael Krumenaker |
|
6 |
| PharmaSUG |
2003 |
SQL for People Who Don't Think They Need SQL |
Erin M. Christen |
|
8 |
| PharmaSUG |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
|
10 |
| PharmaSUG |
2003 |
You've Got Data! : Using SAS from Data Receipt to Reporting |
Philip Vecchione |
|
8 |
| SUGI |
2003 |
"From Data to Analysis, Results and Reports"-- A Researcher's Dilemma but a Programmer's Challenge |
Shabnam Mehra |
source |
5 |
| SUGI |
2003 |
Applied Population Genetics Using SAS Software |
Kristan A. Schneider,
Georg T. Schneider,
Barbara G. Schneider |
source |
|
| SUGI |
2003 |
Beyond PROC LIFETEST: Alternative Linear Rank Tests for Comparing Survival Distribution |
Alan B. Cantor |
source |
4 |
| SUGI |
2003 |
Building Metadata Repository for Data Sets |
Haining Luo |
source |
4 |
| SUGI |
2003 |
Comparative Efficiency of SQL and Base Code When Reading from Database Tables and Existing Data Sets |
Steven H. Feder |
source |
5 |
| SUGI |
2003 |
Continuous or Not: How One Can Tell |
Vatsala V. Karwe |
source |
2 |
| SUGI |
2003 |
Describing and Retrieving Data with SAS Formats |
David H. Johnson |
source |
11 |
| SUGI |
2003 |
Fast and Easy Ways to Advance on Your Beginning SAS Coworkers! |
Richard M. Mitchell |
source |
|
| SUGI |
2003 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2003 |
ODS PDF: It's Not Just for Printing Anymore! |
Kevin Payton Delaney |
source |
6 |
| SUGI |
2003 |
Performance Tuning SAS/ACCESS for DB2 |
Scott J. Fadden |
source |
10 |
| SUGI |
2003 |
Report? Make It Easy - An Example of Creating Dynamic Reports into Excel |
Liping Huang |
source |
6 |
| SUGI |
2003 |
SAS Enterprise Guide - Getting the Job Done |
Andy Ravenna |
source |
10 |
| SUGI |
2003 |
SAS Reporting 101 REPORT TABULATE ODS |
Lauren E. Haworth |
source |
9 |
| SUGI |
2003 |
SAS with Style: Creating Your Own ODS Style Template |
Lauren E. Haworth |
source |
10 |
| SUGI |
2003 |
The Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SUGI |
2003 |
The Use of Formats, Concatenate and Sum for Reporting on "Check All That Apply" Variables |
Lara K. Jungvig |
source |
2 |
| SUGI |
2003 |
Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts |
Lori S. Parsons |
source |
10 |
| SUGI |
2003 |
Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System |
Curtis A. Smith |
source |
|
| MWSUG |
2002 |
10 Things Experienced SAS Programmers Don't Know - But Should |
Douglas Zirbel |
|
10 |
| MWSUG |
2002 |
A Missing is a Missing is a Missing ... Unless Your're a Project Manager |
Martin Barron |
|
4 |
| MWSUG |
2002 |
Easy Interface for SAS --A SAS Applciation on the Windows Platform |
Zhuan (John) Xu |
|
9 |
| SCSUG |
2002 |
Graphing in SAS Software |
Dana Rafiee |
|
18 |
| SCSUG |
2002 |
Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps |
Keith A. Jones |
|
8 |
| SCSUG |
2002 |
Summarizing Data with Base SAS PROCs |
Deborah B. Buck |
|
8 |
| SCSUG |
2002 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization and Analysis Using PROC MEANS |
Andrew H. Karp |
|
10 |
| SCSUG |
2002 |
Why Call Your Macros When SAS Can Do it for You |
Kenneth Bissett |
|
4 |
| NESUG |
2002 |
"Easy and Fast, or Not?" |
Ming H. Chow |
|
6 |
| NESUG |
2002 |
Advanced SAS Macro Language Techniques |
Destiny Corporation (a company) |
|
5 |
| NESUG |
2002 |
An Animated Guide: Speed Merges with Key Indexing, Bitmapping and Hashing |
Paul M. Dorfman,
Russell M. Lavery |
|
10 |
| NESUG |
2002 |
Creating Dynamic Reports Using Data Exchange to Excel |
Liping Huang |
|
6 |
| NESUG |
2002 |
Integrating SAS and Microsoft Office for Analysis and Reporting of Hearing Loss in Occupational Health Management |
George Bukhbinder,
Mark Nicolich |
|
6 |
| NESUG |
2002 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
|
6 |
| NESUG |
2002 |
Psychometrics 101 |
Ronald P. Cody |
|
9 |
| NESUG |
2002 |
Quality Control As Data Analysis |
Paul Gorrell |
|
7 |
| NESUG |
2002 |
SAS Techniques for Incorporating Medical Code Updates into Longitudinal Health Care Data |
Perry Watts,
Alan C. Wilson |
|
10 |
| NESUG |
2002 |
Stupid Data Tricks - Techniques for Getting Your Output to Behave |
John J. Cohen |
|
7 |
| NESUG |
2002 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software |
Gary M. McQuown,
Andrew H. Karp |
|
10 |
| NESUG |
2002 |
The Sparse Option in PROC FREQ: Little Known, Yet Powerful |
Chris Moriak |
|
2 |
| NESUG |
2002 |
Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing |
David Marsh |
|
6 |
| SESUG |
2002 |
A SAS Program for the Computation of the Crude, Stratified and Mantel-Haenszel Odds Ratio in Case-Control Study Data Analysis of Nx2xK tables |
Odds Ratio |
source |
6 |
| SESUG |
2002 |
Alternatives to SAS IF-THEN/ELSE Processing |
Imelda C. Go |
source |
4 |
| SESUG |
2002 |
Automated Summarization of Risk Assessment of Discrete and Continuous Exposures in Epidemiological Studies using SAS ODS |
Stuart D. Long |
source |
6 |
| SESUG |
2002 |
Bridging the Gap: From Spreadsheets to Websites |
MaryAnne DePesquo Hope |
source |
3 |
| SESUG |
2002 |
Customized Reports - Have It Your Way! |
Deb Cassidy |
source |
10 |
| SESUG |
2002 |
Here's the Data, Here's the Report I Want - How Do I Get There? |
Deborah B. Buck |
source |
6 |
| SESUG |
2002 |
Mrs. Clean Tackles Dirty Data |
Janet E. Stuelpner |
source |
3 |
| SESUG |
2002 |
PROC FORMAT in Action |
Jack N. Shoemaker |
source |
6 |
| SESUG |
2002 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software |
Andrew H. Karp,
Gary M. McQuown |
source |
10 |
| SESUG |
2002 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
10 |
| WUSS |
2002 |
Automation and Visualization of Distractor Analysis Using SAS/GRAPH |
Chong Ho Yu |
source |
4 |
| WUSS |
2002 |
Calculating kappa Measures of Agreement and Standard Errors Using SAS Software: Some Tricks and Traps |
Ann Olmsted |
source |
6 |
| WUSS |
2002 |
Check It Out: A Macro for Neatly Displaying "Check All That Apply" Responses |
Elizabeth A. Roth |
source |
3 |
| WUSS |
2002 |
Doing Big Demographic Segmentation with the Combination of Multivariate Procedures and Macro Facilities |
Charles Sun |
source |
6 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| WUSS |
2002 |
Imputation Strategies for Sexual Orientation Using SAS PROC MI |
Jesse Albert Canchola,
Joe Catania,
Torsten Neilands |
source |
6 |
| WUSS |
2002 |
ODS Meets SAS/IntrNet |
Sy J. Truong,
Susan J. Slaughter,
Lora D. Delwiche |
source |
9 |
| WUSS |
2002 |
Quick Results with the Output Delivery System |
Sunil Kumar Gupta |
source |
9 |
| WUSS |
2002 |
Using Benford's Law to Find Anomalies in Your Data |
Curtis A. Smith |
source |
6 |
| WUSS |
2002 |
Using SAS/GRAPH and ODS to Web-enable Your Graphs |
Curtis A. Smith |
source |
7 |
| WUSS |
2002 |
You've Got Data, Now What? |
Diana D. Suhr |
source |
3 |
| SEUGI |
2002 |
Evaluating SPDS to Improve Performance of a Large Data Warehouse |
Clare Somerville,
Colin J. Harris |
source |
14 |
| SEUGI |
2002 |
How to move from OPINIONS to FACTS [presentation] |
G. Ricci,
G. Zanini,
M. Rinchi |
source |
25 |
| SEUGI |
2002 |
Making Your Data a Strategic Asset [presentation] |
Tony Fisher |
source |
29 |
| SEUGI |
2002 |
Putting Customer Data to Work [presentation] |
Jackie Ronson,
Maggie Scott |
source |
19 |
| SEUGI |
2002 |
Putting Customer Data to Work [presentation] |
Jackie Ronson,
Maggie Scott |
source |
19 |
| SEUGI |
2002 |
Strategic Measurement and Reporting in City Governance [presentation] |
David Walker |
source |
24 |
| PharmaSUG |
2002 |
%Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables |
Rich Schiefelbein |
|
6 |
| PharmaSUG |
2002 |
Design Considerations Used to Develop Clinical Reporting Software |
Steven Light,
Paul M. Gilbert |
|
4 |
| PharmaSUG |
2002 |
IND Annual Reporting at a Glance |
Kristi Wiser |
|
6 |
| PharmaSUG |
2002 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
|
10 |
| SUGI |
2002 |
Analyzing Discrete Choice Data on Monadic Cards |
Jay Wu |
source |
7 |
| SUGI |
2002 |
Data Cleaning 101 |
Ronald P. Cody |
source |
10 |
| SUGI |
2002 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
source |
6 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
How ODS Simplified Our Web-based Clinical Trial Reports |
Julie A. Inglish |
source |
3 |
| SUGI |
2002 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SUGI |
2002 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
source |
4 |
| SUGI |
2002 |
ODS Meets SAS/IntrNet |
Susan J. Slaughter,
Sy J. Truong,
Lora D. Delwiche |
source |
|
| SUGI |
2002 |
Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application |
Charles M. Vaughan,
Serge Guzy |
source |
6 |
| SUGI |
2002 |
SAS Cluster Disk Management: Using SAS to Manage Virtual Disks on a Cluster of File Servers |
Haftan M. Eckholdt,
Ezra C. Benun |
source |
5 |
| SUGI |
2002 |
SAS with Style: Creating Your Own ODS Style Template |
Lauren E. Haworth |
source |
10 |
| SUGI |
2002 |
Summarizing Data with Base SAS PROCs |
Deborah B. Buck |
source |
8 |
| SUGI |
2002 |
The Heuristic Program |
John R. Gerlach |
source |
4 |
| SUGI |
2002 |
The Simplicity and Power of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SUGI |
2002 |
To Neural or Not to Neural? - This Is the Question |
Leon L. Fedenczuk |
source |
6 |
| SUGI |
2002 |
Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System |
Curtis A. Smith |
source |
6 |
| MWSUG |
2001 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
|
29 |
| MWSUG |
2001 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization Using the SAS System |
Andrew H. Karp |
|
10 |
| MWSUG |
2001 |
The Utter Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
|
7 |
| MWSUG |
2001 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
|
7 |
| NESUG |
2001 |
%ABC_FREQ: A SAS Macro Utility to Generate Enhanced Frequency Reports |
Sharon Matsumoto Hirabayashi |
|
10 |
| NESUG |
2001 |
A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven |
Ronald J. Fehd |
|
9 |
| NESUG |
2001 |
A Simple SAS Macro Technique to Build a Report Data Set |
Christianna S. Williams |
|
2 |
| NESUG |
2001 |
Analyzing Complex Sample Survey Data: A New Beginning |
Linda Tompkins,
Arlene B. Siller |
|
3 |
| NESUG |
2001 |
Applying Categorical Data Analysis to Multi-way Contingency Table-Location, Accident Type, and Related Factors With Severity. |
Li wan Chen |
|
10 |
| NESUG |
2001 |
Creating Macro Calls using Proc Freq |
Wendi L. Wright |
|
5 |
| NESUG |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
|
10 |
| NESUG |
2001 |
Help! I need Help with the Help!?! |
Kevin Payton Delaney |
|
8 |
| NESUG |
2001 |
How to Represent Missing Data: Special Missing Values vs. 999999999 |
Quentin McMullen |
|
4 |
| NESUG |
2001 |
Introduction to Enterprise Guide. |
Destiny Corporation (a company) |
|
6 |
| NESUG |
2001 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
5 |
| NESUG |
2001 |
Mrs. Clean Tackles Dirty Data |
Janet E. Stuelpner |
|
3 |
| NESUG |
2001 |
On the Relationship between Format Structure and Efficiency in SAS |
Perry Watts |
|
9 |
| NESUG |
2001 |
The Dirty Dozen: Twelve Common Programming Mistakes |
Bob Virgile |
|
5 |
| NESUG |
2001 |
Use SAS to Maintain and QC your Database |
Sergey Sian |
|
4 |
| VIEWS |
2001 |
Develop in GUI, Run with Grunt |
David H. Johnson |
|
8 |
| VIEWS |
2001 |
Visualisation in SAS [presentation] |
Ian Sedgwick |
|
28 |
| WUSS |
2001 |
Automatically Creating a Summary Table from Multiple Outcomes by a SAS Program |
Han Wu,
Ying Chen |
source |
3 |
| WUSS |
2001 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
source |
5 |
| WUSS |
2001 |
Detecting Seasonality in Univariate Time Series Data Using the SAS System |
Joseph E. Earley,
Seid M. Zekavat |
source |
6 |
| WUSS |
2001 |
Is Your Data Clean? Three Steps in Data Cleaning |
Mel Widawski |
source |
5 |
| WUSS |
2001 |
Keeping it All Together: An Efficient Project Organization Strategy for the Beginning Programmer |
Elizabeth A. Roth |
source |
3 |
| WUSS |
2001 |
Making a Data Code Dictionary Using a Dynamic SAS Macro |
Jichao Sun,
Haiping Luo |
source |
6 |
| WUSS |
2001 |
ODS Tips and Tricks |
Lauren E. Haworth |
source |
7 |
| WUSS |
2001 |
SAS Macro, ODS, and HTML: Summarizing 400 Pages of Output Into One Nice Table |
Michelle L. Pritchard |
source |
5 |
| WUSS |
2001 |
Using SAS Enterprise Miner for Forecasting Response and Risk |
Kattamuri S. Sarma |
source |
10 |
| WUSS |
2001 |
Using Styles and Templates to Customize SAS ODS Output |
Sunil Kumar Gupta |
source |
10 |
| WUSS |
2001 |
Web Enabling Your Graphs with HTML, ActiveX, and Java Using SAS/GRAPH and the Output Delivery System |
Curtis A. Smith |
source |
6 |
| WUSS |
2001 |
What about a PROC RATES for All of Your Rates and Proportions Needs? |
Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan |
source |
6 |
| WUSS |
2001 |
Who Needs To Know Program Syntax When You Have Enterprise Guide? |
Destiny Corporation (a company) |
source |
6 |
| SESUG |
2001 |
A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven |
Ronald J. Fehd |
source |
9 |
| SESUG |
2001 |
Are Strings Tying You in Knots? |
Deb Cassidy |
source |
10 |
| SESUG |
2001 |
Basic SAS PROCedures for Generating Quick Results |
Kirk Paul Lafler |
source |
10 |
| SESUG |
2001 |
Conversion of SUDAAN Output into Publication-Quality Tables - A Simplified Approach |
Charlotte Cates Gard |
source |
6 |
| SESUG |
2001 |
Defining Test Data Using Population Analysis |
Clarence W. Jackson |
source |
6 |
| SESUG |
2001 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
source |
5 |
| SESUG |
2001 |
Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing |
Paul M. Dorfman |
source |
10 |
| SESUG |
2001 |
Formats, Informats and How to Program with Them |
H. Ian Whitlock |
source |
9 |
| SESUG |
2001 |
Graphing in SAS Software |
Destiny Corporation (a company) |
source |
18 |
| SESUG |
2001 |
Implementing Digital Data Analysis Using SAS |
Thomas J. Winn Jr. |
source |
4 |
| SESUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SESUG |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
source |
10 |
| SESUG |
2001 |
PROC SQL - Is it a Required Tool for Good SAS Programming? |
H. Ian Whitlock |
source |
6 |
| SESUG |
2001 |
Producing Multipurpose Metadata for Data Quality, Trending, and a Data Dictionary |
John E. Bentley |
source |
12 |
| SESUG |
2001 |
The Metamorphosis of a Study Design |
Marge Scerbo |
source |
9 |
| SESUG |
2001 |
Using the SAS Annotate Facility for Creating Custom Graphs |
Patrick M. McGown |
source |
8 |
| SESUG |
2001 |
Web-Application Bar Charts without SAS/GRAPH |
Steve James |
source |
5 |
| SESUG |
2001 |
Who Needs To Know Program Syntax When You Have Enterprise Guide? |
Destiny Corporation (a company) |
source |
6 |
| SCSUG |
2001 |
A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven |
Ronald J. Fehd |
|
9 |
| SCSUG |
2001 |
Are Strings Tying You in Knots? |
Deb Cassidy |
|
10 |
| SCSUG |
2001 |
Basic SAS PROCedures for Generating Quick Results |
Kirk Paul Lafler |
|
10 |
| SCSUG |
2001 |
Conversion of SUDANN Output into Publication-Quality Tables--A Simplified Approach |
Charlotte Cates Gard |
|
6 |
| SCSUG |
2001 |
Defining Test Data Using Population Analysis |
Clarence W. Jackson |
|
6 |
| SCSUG |
2001 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
|
5 |
| SCSUG |
2001 |
Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing |
Paul M. Dorfman |
|
10 |
| SCSUG |
2001 |
Formats, Informats and How to Program with Them |
H. Ian Whitlock |
|
9 |
| SCSUG |
2001 |
Graphing in SAS Software |
Destiny Corporation (a company) |
|
18 |
| SCSUG |
2001 |
Implementing Digital Analysis Using SAS |
Thomas J. Winn Jr. |
|
4 |
| SCSUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
7 |
| SCSUG |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
|
10 |
| SCSUG |
2001 |
PROC SQL - Is it a Required Tool for Good SAS Programming? |
H. Ian Whitlock |
|
6 |
| SCSUG |
2001 |
The Metamorphiosis of a Study Design |
Marge Scerbo,
Craig Dickstein |
|
9 |
| SCSUG |
2001 |
Using the SAS Annote Facility for Creating Custom Graphs |
Patrick M. McGown |
|
8 |
| SCSUG |
2001 |
Web-Application Bar Charts without SAS/GRAPH |
Steve James |
|
5 |
| SCSUG |
2001 |
Who Needs To Know Program Syntax When You Have Enterprise Guide? |
Destiny Corporation (a company) |
|
6 |
| SEUGI |
2001 |
"E-tailing" - Click analysis for online shopping profiling [presentation] |
Bernd Drewes |
source |
24 |
| SEUGI |
2001 |
Cross-selling of insurance products |
Flavio Bonifacio,
Oreste Porreca |
source |
6 |
| SEUGI |
2001 |
e-Intelligence and e-CRM in a competitive new economy [presentation] |
Dorte Ransby |
source |
27 |
| SEUGI |
2001 |
Evolution of the Data Warehouse at the Russian Railways [presentation] |
Igor Movchikov |
source |
24 |
| SEUGI |
2001 |
From GaAs to Mobile Phones: the Implementation of a Quality Warehouse |
Paul Burgess |
source |
6 |
| SEUGI |
2001 |
Fuzzy key linkage: robust methods for real databases |
Sigurd W. Hermansen |
source |
13 |
| SEUGI |
2001 |
Implementing a BSC in a changing environment of Social Security [presentation] |
Grieko Enter |
source |
26 |
| SEUGI |
2001 |
Implentation of an outlier detection method for hihg throughput screening in drug discovery [presentation] |
Ronny Schrijvers,
Rudi Verbeeck |
source |
23 |
| SEUGI |
2001 |
Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty [presentation] |
Frederick D. Busche |
source |
21 |
| SEUGI |
2001 |
The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples |
Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone |
source |
12 |
| SEUGI |
2001 |
The Intelligence Layer - an Organized Approach to Business Intelligence [presentation] |
Allan Russell,
Stefan Gossler |
source |
57 |
| SEUGI |
2001 |
Web warehousing and data exploitation of accidents in working environments - ISPESL [presentation] |
Paolo Montanari |
source |
33 |
| PharmaSUG |
2001 |
A Data Null Reporting Method |
Frank Senk |
|
6 |
| PharmaSUG |
2001 |
An Analysis Programming Process Focused on Data Derivation |
Lee Walke |
|
4 |
| PharmaSUG |
2001 |
Data Visualization of Phase 1 Clinical Studies - "Big Al's World" or Using SAS Version 8 to Acquire Quality Ice Cream |
Richard F. Synowiec |
|
8 |
| PharmaSUG |
2001 |
Detecting Anomalies in Your Data Using Benford's Law |
Curtis A. Smith |
|
4 |
| PharmaSUG |
2001 |
Enhancing Code with the SQL Procedure |
Jeff Goodrich |
|
6 |
| PharmaSUG |
2001 |
Nonlinear Least Squares Analysis of HIV Viral Load Data - Aids in Parameter Estimation |
Peter P. Gaccione |
|
8 |
| SUGI |
2001 |
A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven |
Ronald J. Fehd |
source |
9 |
| SUGI |
2001 |
A Correction for Unbalanced Kappa Tables |
Philip E. Crewson |
source |
4 |
| SUGI |
2001 |
A Reader's Guide toVisualizing Categorical Data |
Michael Friendly |
source |
8 |
| SUGI |
2001 |
Automating the Process of Listing the Most Frequent Values of Thousands of Variables in Large Data Sets |
Haiping Luo,
Philip E. Friend |
source |
5 |
| SUGI |
2001 |
Creating a Consolidated Report from Several SAS Outputs Using DATA _NULL_ and PUT Statements |
Anne Horney,
Gail F. Kirk |
source |
6 |
| SUGI |
2001 |
Data Cleaning 101 |
Ronald P. Cody |
source |
10 |
| SUGI |
2001 |
Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " |
Richard F. Synowiec |
source |
6 |
| SUGI |
2001 |
Develop in GUI, Run with Grunt |
David H. Johnson |
source |
8 |
| SUGI |
2001 |
Efficient Statistical Programming? - Let SAS Do the Work |
Keiko I. Powers |
source |
4 |
| SUGI |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2001 |
Findings and Sizing Considerations of an Integrated BI Software Solution in an AIX 5.0 Environment and Windows NT Environment |
Edward Hayes-Hall,
Stephen Krause |
source |
6 |
| SUGI |
2001 |
Input File Cleaning and Screening Using a SAS Macro |
Mike D. Tangedal |
source |
7 |
| SUGI |
2001 |
JMP and JSL Used to Create a Visual Application |
Andy Mauromoustakos,
Kevin C. Thompson |
source |
|
| SUGI |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Ray Pass,
Sally M. Muller |
source |
10 |
| SUGI |
2001 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
source |
9 |
| SUGI |
2001 |
PROC SQL - Is It a Required Tool of Good SAS Programming? |
H. Ian Whitlock |
source |
6 |
| SUGI |
2001 |
SAS Formats: Making the Best of a Bad Situation |
Michelle L. Pritchard |
source |
2 |
| SUGI |
2001 |
Side By Side: Comparing Two Data Sets Using SAS Macros |
Aileen D. Bennett |
source |
3 |
| SUGI |
2001 |
Table Look-Up by Direct Addressing: Key-Indexing - Bitmapping - Hashing |
Paul M. Dorfman |
source |
10 |
| SUGI |
2001 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS |
Andrew H. Karp |
source |
10 |
| SUGI |
2001 |
The Metamorphosis of a Study Design |
Marge Scerbo,
Craig Dickstein |
source |
6 |
| SUGI |
2001 |
The Power and Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SUGI |
2001 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
10 |
| SUGI |
2001 |
The Spectrum of Broadway: A SAS PROC SPECTRA Inquiry |
Joseph E. Earley,
James D. Ryan |
source |
5 |
| SUGI |
2001 |
Using Styles and Templates to Customize SAS ODS Output |
Sunil Kumar Gupta |
source |
10 |
| SUGI |
2001 |
Web-Application Bar Charts without SAS/GRAPH |
Steve James |
source |
5 |
| SUGI |
2001 |
Who Needs to Know Program Syntax When You've Learned Enterprise Guide |
Stan Andermann,
Dana Rafiee |
source |
6 |
| SCSUG |
2000 |
Data Cleaning 101 |
Ronald P. Cody |
|
13 |
| SESUG |
2000 |
%XTAB2HTM: macro using ODS to convert proc FREQ cross-tabulation to HTML with a Table of Contents and back buttons |
Ronald J. Fehd |
source |
7 |
| SESUG |
2000 |
Table Lookup via Direct Addressing: Key-Indexing, Bitmapping, Hashing |
Paul M. Dorfman |
source |
11 |
| SESUG |
2000 |
The Dead Go Live! Injury Mortality Data via a Web-based Application |
Steve James |
source |
2 |
| SESUG |
2000 |
Using the SAS System and QSR NUD*IST for qualitative data analysis (QDA) |
Robert G. Stewart |
source |
6 |
| NESUG |
2000 |
A Double Transpose |
H. Ian Whitlock |
|
2 |
| NESUG |
2000 |
A SAS.... Software Toolkit for Reverse Engineering Large Projects |
Perry Watts,
John R. Gerlach |
|
8 |
| NESUG |
2000 |
Avoiding Mayhem in the New Millennium: Working with Missing Data |
JoAnn R. Matthews |
|
10 |
| NESUG |
2000 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
|
6 |
| NESUG |
2000 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
|
10 |
| NESUG |
2000 |
Reporting One Record at a Time (aka "DATA _NULL_") |
Frank Senk |
|
5 |
| NESUG |
2000 |
SQL Summary Functions, Unions, and Aliases to Define a Risk Cohort and Risk Variables from a Record-based Study |
Janet Wikoff,
Lori Maiwald |
|
9 |
| NESUG |
2000 |
Summarizing Census 2000 Race Check Box Combinations |
Adeline J. Wilcox |
|
2 |
| NESUG |
2000 |
Templates for Comprehensive Analysis of Logically Dichotomous Survey Questions |
Donald T. Gantz |
|
10 |
| NESUG |
2000 |
The Power of PROC FORMAT |
Jonas V. Bilenas |
|
5 |
| NESUG |
2000 |
Think Outside the Box: Analysis of Categorical Data |
Margaret Ann Goetz |
|
5 |
| NESUG |
2000 |
Using Batch MVS SAS.... To Send Email Via A UNIX.... Email Server |
Stephen M. Englert |
|
5 |
| NESUG |
2000 |
When Rounding the Result of a Random Number Generator Is Wrong |
Adeline J. Wilcox |
|
2 |
| NESUG |
2000 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
|
7 |
| WUSS |
2000 |
A Beginners Guide to SAS Date and Time Handling |
Wayne B. Finley |
source |
6 |
| WUSS |
2000 |
Gaining Insight Using Visualization Techniques |
Curtis A. Smith,
Philip A. Cosby |
source |
5 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| WUSS |
2000 |
SAS Formats: Making the Best of a Bad Situation |
Michelle L. Pritchard |
source |
2 |
| WUSS |
2000 |
SAS Report Writing Over the Years: An Exploration Into the Difficult Task of Meeting Everyone's Needs |
Richard C. Chiofolo |
source |
8 |
| WUSS |
2000 |
Visiting the White House with SAS: A PROC SPECTRA Application |
Joseph E. Earley |
source |
5 |
| MWSUG |
2000 |
Input File Cleaning and Screening Using Base SAS |
Mike D. Tangedal |
|
7 |
| MWSUG |
2000 |
Managing Independent Consultants - An Oxymoron? |
Neil H. Howard,
Michelle Gayari |
|
9 |
| MWSUG |
2000 |
Removing Slag to Get the Ore: Preparing Data for Mining |
Thomas H. Burger,
Jerry E. Plaatje,
John M. LaBore |
|
4 |
| SEUGI |
2000 |
A Finger on the Pulse of PROFILE [presentation] |
Matgorzata Wyrozumska,
Wiestaw Wysocki |
source |
17 |
| SEUGI |
2000 |
Business Units, Management and Statutory consolidation for Union Fenosa [presentation] |
Francisco Javier Rios |
source |
26 |
| SEUGI |
2000 |
Credit Risk Measurement for a Bank Loans Portfolio |
Emiliano Laruccia,
Valter Lazzari |
source |
11 |
| SEUGI |
2000 |
Data Mining - an interactive approach to customer database segmentation using recency-frequency-value model [presentation] |
Stacie Maxey |
source |
20 |
| SEUGI |
2000 |
Data Mining in a Pharmaceutical Environment [presentation] |
Franky De Cooman |
source |
24 |
| SEUGI |
2000 |
Efficient reporting to the authorities using SAS [presentation] |
An Smets |
source |
37 |
| SEUGI |
2000 |
Evolution of Multi-Channel CRM at BMG Direct US [presentation] |
Jeff LeSueur |
source |
27 |
| SEUGI |
2000 |
HR Vision for R/3 & HR knowledge solution [presentation] |
Dave Prinsloo |
source |
44 |
| SEUGI |
2000 |
IntraNet Datamarts for Ladder Stats/Triangles [presentation] |
Jason Duncan-King |
source |
27 |
| SEUGI |
2000 |
SAS for Computer Aided Telephone Interview (CATI) [presentation] |
Gianluca Bo |
source |
38 |
| SEUGI |
2000 |
SAS Software for the Analysis of Epidemiologic Data [presentation] |
Hans-Peter Altenburg |
source |
39 |
| SEUGI |
2000 |
Screening procedures in human medicine-evaluation of results by multiple correspondence analysis [presentation] |
J. Rovan,
M. Slak,
V. Urbancic-Rovan |
source |
12 |
| SEUGI |
2000 |
Unambiguous Representation of Data Processing Requirements [presentation] |
John Mathews |
source |
18 |
| SEUGI |
2000 |
Using SAS System in the Media Research Projects [presentation] |
Elena Maslova,
S. Poppv,
T. Barsov |
source |
38 |
| PharmaSUG |
2000 |
A Macro Tool to Check If Values of a Variable Match Its Format |
Yuguang Zhao |
|
4 |
| PharmaSUG |
2000 |
An Alternative to the Odds Ratio: A Method for Comparing Adjusted Treatment Group Effects on a Dichotomous Outcome |
P. Chris Holland |
|
5 |
| PharmaSUG |
2000 |
Data Mining and Statistics in a Pharmaceutical Environment |
Franky De Cooman |
|
3 |
| PharmaSUG |
2000 |
Managing Independent Consultants - An Oxymoron? |
Neil H. Howard,
Michelle Gayari |
|
10 |
| PharmaSUG |
2000 |
Matched Sampling Using SAS Software |
Edgar L. Mounib,
Thiru Satchi |
|
6 |
| PharmaSUG |
2000 |
SAS for Analyzing Side-effects of Drugs |
Christine Vander Vorst |
|
3 |
| PharmaSUG |
2000 |
The Lost Art of Annotate |
Richard O. Smith,
Arthur L. Carpenter |
|
5 |
| PharmaSUG |
2000 |
Using SAS Macro to List the Frequencies and Statistics in a Summary Table |
Kinwah Fung,
Toronto Sunnybrook |
|
6 |
| SUGI |
2000 |
A WYSIWYG Application to Summarize Categorical Variables Using the SAS System |
Dorothy E. Pugh,
Jeffrey M. Abolafia |
source |
6 |
| SUGI |
2000 |
Achieving Graphical Excellence with SAS/GRAPH Software |
Archer R. Gravely |
source |
10 |
| SUGI |
2000 |
Analysis of Environmental Data Using JMP |
Andy Mauromoustakos |
source |
6 |
| SUGI |
2000 |
Automating the Selection of Controls in Case-Control Studies |
Thiru Satchi,
Edgar L. Mounib |
source |
6 |
| SUGI |
2000 |
Avoiding Mayhem in the New Millennium: Working with Missing Data |
JoAnn R. Matthews |
source |
10 |
| SUGI |
2000 |
Correcting for Missing Discrete Responses in Business Surveys |
Lawrence C. Marsh |
source |
10 |
| SUGI |
2000 |
Crude Risk Assessment of Multi-Level Exposures in Epidemiological Studies |
Stuart D. Long,
Rebecca Darden |
source |
4 |
| SUGI |
2000 |
Multidimensional Arrays in SAS/IML Software |
Michael Friendly |
source |
8 |
| SUGI |
2000 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
source |
10 |
| SUGI |
2000 |
Private Detectives in a Data Warehouse: Key-Indexing, Bitmapping, and Hashing |
Paul M. Dorfman |
source |
10 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SUGI |
2000 |
Publishing Statistical Analyses on the Web Using Version 7 of the SAS System |
David J. Meade,
Scott Lacey |
source |
6 |
| SUGI |
2000 |
SAS Programs to Get the Most from X-12-ARIMA's Modeling and Seasonal Adjustment Diagnostics |
Catherine C. Hood |
source |
6 |
| SUGI |
2000 |
Style Sheets, Javascript, and SAS??? Oh, My! |
Kerril S. Bauerly |
source |
10 |
| SUGI |
2000 |
The Lost Art of Annotate |
Richard O. Smith,
Arthur L. Carpenter |
source |
5 |
| SUGI |
2000 |
The Power and Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SUGI |
2000 |
Using a Fuzzy Merge to Combine Customer Performance Information Across Accounts |
Helen-Jean Talbott |
source |
3 |
| SUGI |
2000 |
Using Batch MVS SAS Software to Send Email Via a UNIX Email Server |
Stephen M. Englert |
source |
5 |
| SUGI |
2000 |
Visualizing Categorical Data: Data, Stories, and Pictures |
Michael Friendly |
source |
9 |
| SCSUG |
1999 |
Advanced Features of PROC TABULATE |
Thomas J. Winn Jr. |
|
6 |
| SCSUG |
1999 |
Defining Test Data Using Population Analysis |
Clarence W. Jackson |
|
5 |
| SCSUG |
1999 |
Longitudinal Data Techniques |
Ronald P. Cody |
|
6 |
| SCSUG |
1999 |
Programming with the Output Delivery System in Version 7 |
Destiny Corporation (a company) |
|
6 |
| SESUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
source |
9 |
| SESUG |
1999 |
Generating SAS Reports and the Collation Problem |
Imelda C. Go |
source |
3 |
| SESUG |
1999 |
Hiring the Best SAS Programmers |
Neil H. Howard |
source |
10 |
| SESUG |
1999 |
Programming Solutions with SAS Formats and Informats |
Imelda C. Go |
source |
9 |
| SESUG |
1999 |
SAS Components To Help You Survive A Deserted Island |
Stephen M. Noga |
source |
7 |
| SESUG |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
8 |
| SESUG |
1999 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
5 |
| WUSS |
1999 |
Reading an Entire Line of Data of Unknown Length Into a Character Variable |
Mel Widawski |
source |
5 |
| WUSS |
1999 |
SAS Macro Program to Prepare Data Documentation with Tailored Descriptions of Various Variable Types |
Keiko I. Powers |
source |
6 |
| WUSS |
1999 |
Seasonal Trend Analysis of Monthly Water Quality Data |
Jie Tian,
George C. J. Fernandez |
source |
6 |
| WUSS |
1999 |
Site Specific Reports: Comparing each part to the whole using numbers and figures |
Jenny Yu |
source |
6 |
| WUSS |
1999 |
The Lost Art of Annotate |
Richard O. Smith,
Arthur L. Carpenter |
source |
5 |
| WUSS |
1999 |
Using ANNOTATE Macros as Shortcuts |
Arthur L. Carpenter |
source |
6 |
| WUSS |
1999 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
source |
4 |
| WUSS |
1999 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
8 |
| NESUG |
1999 |
A Method for Developing Data-Driven Market Area Clusters |
Joseph S. Brenner |
|
9 |
| NESUG |
1999 |
Alternatives to Merging SAS Data Sets But Be Careful |
Michael J. Wieczkowski |
|
7 |
| NESUG |
1999 |
An Exploratory Data Analysis of the Relationship between Domestic Violence Incidents and Socioeconomic Factors |
Lathan S. Dennis,
Donald T. Gantz |
|
11 |
| NESUG |
1999 |
Creating Macro Variables via PROC SQL |
Michael S. Zdeb |
|
2 |
| NESUG |
1999 |
Data Cleaning 101 |
Ronald P. Cody |
|
10 |
| NESUG |
1999 |
Effective Methods for Graphical Analysis of Quantitative and Categorical Survey Variables |
Donald T. Gantz |
|
10 |
| NESUG |
1999 |
Input Selection, Performance Evaluation, and Credit Risk Analysis |
Shirley Tsai,
David Hamilton |
|
10 |
| NESUG |
1999 |
Longitudinal Data Techniques: Looking Across Observations |
Ronald P. Cody |
|
6 |
| NESUG |
1999 |
Psychometrics 101 |
Ronald P. Cody |
|
9 |
| NESUG |
1999 |
So You Want to Learn PROC Report |
Chris Moriak |
|
9 |
| NESUG |
1999 |
There's No Such Thing as Normal Clinical Trials Data, or Is There? |
Daphne E. Ewing |
|
10 |
| NESUG |
1999 |
Those Missing Values in Questionnaires |
John R. Gerlach,
Cindy Garra |
|
6 |
| NESUG |
1999 |
Using ANNOTATE Macros as Shortcuts |
Arthur L. Carpenter |
|
6 |
| NESUG |
1999 |
Using PROC CHART in Screening for Admission: An Application for Policy Makers |
Rebecca Goldblatt |
|
3 |
| MWSUG |
1999 |
A Fast Format Macro - How to Quickly Create a Format by Specifying the Endpoints |
Christine A. Smiley |
|
4 |
| MWSUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
|
9 |
| MWSUG |
1999 |
Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform |
John (Zhaun) Xu |
|
9 |
| MWSUG |
1999 |
Working with SAS Date and Time Functions with Reference to Year 2000 Issues |
Andrew H. Karp |
|
7 |
| SEUGI |
1999 |
An approach to saving large amounts of disk space for the data warehouse without using compression |
Peter Crawford |
source |
2 |
| SEUGI |
1999 |
Generating a SAS program - case survey analysis [presentation] |
Markku V. Suni |
source |
31 |
| SEUGI |
1999 |
Getting clickstream behavior based on IT Service Vision: another component of CRM on the Web [presentation] |
Frank Johannsen |
source |
13 |
| SEUGI |
1999 |
Integrating data mining and marketing campaign management technologies [presentation] |
Kurt Thearling |
source |
33 |
| SEUGI |
1999 |
Operational and management indicators to control heterogeneous systems [presentation] |
Pierre Vandemaele |
source |
27 |
| SEUGI |
1999 |
SAS solution for analysing side effects of drug [presentation] |
Christine Vander Vorst,
Lieve Debaecke |
source |
31 |
| SEUGI |
1999 |
Segmentation of the Slovenian retail bank market |
Anuska Ferligoj,
Igor Horvat,
Joze Rovan |
source |
14 |
| SEUGI |
1999 |
Strategic Use of Customer Lifetime Value [presentation] |
Tony Woods |
source |
25 |
| SEUGI |
1999 |
Using the Web to view your data warehouse [presentation] |
Frank Nauta |
source |
29 |
| SEUGI |
1999 |
What's New in SAS/Warehouse Administrator Software [presentation] |
Scott Anderson |
source |
37 |
| SUGI |
1999 |
A Fast Format Macro How to Quickly Create a Format by Listing the Endpoints |
Christine A. Smiley |
source |
4 |
| SUGI |
1999 |
A SAS Macro to Analyze Data from a Matched or Finely Stratified Case-Control Design |
Robert A. Vierkant,
Terry M. Therneau,
Jon L. Kosanke,
James M. Naessens |
source |
6 |
| SUGI |
1999 |
Achieving Graphical Excellence with SAS/GRAPH Software |
Archer R. Gravely |
source |
6 |
| SUGI |
1999 |
Advanced Features of PROC TABULATE |
Thomas J. Winn Jr. |
source |
6 |
| SUGI |
1999 |
Behind Marketing Data |
Flavio Addolorato,
Silvia Pacei |
source |
6 |
| SUGI |
1999 |
Crude Risk Assessment of Multi-level Exposures in Case-Control Studies |
Rebecca Darden,
Stuart D. Long |
source |
3 |
| SUGI |
1999 |
Data Exploration Made Easy |
George C. J. Fernandez |
source |
7 |
| SUGI |
1999 |
Easy Interface for SAS - A SAS Application on the Windows Platform |
Zhuan (John) Xu |
source |
9 |
| SUGI |
1999 |
How and When to Use WHERE |
J. Meimei Ma,
Sandra D. Schlotzhauer |
source |
8 |
| SUGI |
1999 |
Large Scale Data Warehousing with the SAS System |
Tony Brown,
Leigh A. Ihnen,
Jim Craig |
source |
10 |
| SUGI |
1999 |
Measurement of Interrater Agreement: A SAS/IML Macro Kappa Procedure for Handling Incomplete Data |
Honghu Liu,
Ron D. Hays |
source |
6 |
| SUGI |
1999 |
Modeling Event Count Data with PROC GENMOD and the SAS System |
Matthew J. Flynn |
source |
6 |
| SUGI |
1999 |
Simulation and Estimation of Fractionally Integrated Time Series |
Jeffrey S. Butler |
source |
6 |
| SUGI |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1999 |
Study Design with SAS: Estimating Power with Monte Carlo Methods |
Robert W. Graebner |
source |
3 |
| SUGI |
1999 |
The Power and Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
source |
7 |
| SUGI |
1999 |
The SAS Debugging Primer |
Frank C. DiIorio |
source |
5 |
| SUGI |
1999 |
Transforming SAS Data Sets Using Arrays |
Ronald P. Cody |
source |
6 |
| SUGI |
1999 |
Using ANNOTATE Macros as Shortcuts |
Arthur L. Carpenter |
source |
6 |
| SUGI |
1999 |
Using SAS Macro to Include Statistics Output in Clinical Trial Summary Table |
Amy C. Young,
Sharon X. Zhou |
source |
5 |
| SUGI |
1999 |
Ways of Learning: What the Trainer and the Student Need to Know about Learning Styles |
Judy Loren |
source |
9 |
| SUGI |
1999 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
7 |
| MWSUG |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
|
11 |
| MWSUG |
1998 |
If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC |
Chao-Ying Joanne Peng,
Tak-Shing Harry So |
|
10 |
| MWSUG |
1998 |
SEGLINK: A SAS System MACRO for Variance-components genetic linkage analysis |
Jennifer H. Lin,
Michael A. Province |
|
4 |
| MWSUG |
1998 |
Using SAS PROC GENMOD for Log-linear Association Models of Ordinal Data |
James R. Hershey |
|
4 |
| SCSUG |
1998 |
Introduction to Using PROC TABULATE |
Thomas J. Winn Jr. |
|
11 |
| SCSUG |
1998 |
Laboratory Data Management and Reporting |
O. M. Little |
|
30 |
| WUSS |
1998 |
Analysis of the American National Election Survey for 1996 using SAS Multivariate Statistical Techniques with Emphasis on Chi-Square |
Kamal Shoukry |
source |
4 |
| WUSS |
1998 |
Creating Inferred Data Using SAS |
Tim Walters |
source |
6 |
| WUSS |
1998 |
Creating Instructional Modules Using SAS/IntrNet Software: The Contigency Table Home Page |
Stuart E. Wugalter,
Jeannie Lum,
Colin Campbell |
source |
6 |
| WUSS |
1998 |
Getting from Complex Databases to a SAS Analytic File: Tales from the Trenches |
Marcia Stoddard |
source |
6 |
| WUSS |
1998 |
Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems |
George C. J. Fernandez |
source |
8 |
| WUSS |
1998 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
7 |
| NESUG |
1998 |
Acceptance Testing of a Large Distributed Information System Using Statistical Resampling |
Donald T. Gantz |
|
10 |
| NESUG |
1998 |
Millenia: Checking SAS Applications for Century Date Compliance |
Bruce F. Gilsen |
|
8 |
| NESUG |
1998 |
Multivariate Discrimination of Categorical Data Using the SAS System |
Jeffrey S. Butler |
|
8 |
| NESUG |
1998 |
Obtaining User Criteria Without Editing the Code |
Michael A. Mace |
|
6 |
| NESUG |
1998 |
Profiling Patient and Physician Populations with Clinically-based Data Models |
Enya Garcia |
|
3 |
| NESUG |
1998 |
SAS-L Meets MS Exchange |
Jack N. Shoemaker |
|
1 |
| NESUG |
1998 |
Simulating Randomness In 49C6 Style Lotteries: A Comparison Of Approaches And Data Processing Applications |
William J. Montelpare |
|
5 |
| NESUG |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
|
8 |
| NESUG |
1998 |
Working with SAS Date and Time Functions With Reference to Year 2000 |
Andrew H. Karp |
|
8 |
| SESUG |
1998 |
%FREQ1VAR: Frequency of One Variable with Format: a Macro to Standardize PROC FREQ Output Data Sets |
Ronald J. Fehd |
|
3 |
| SESUG |
1998 |
Advanced Suspended Animation Program (ASAP) Using SAS v32.09 for SpaceOS v7.58932 |
Randy Finch |
|
1 |
| SESUG |
1998 |
Automatic Referencing SAS Macro Variables Using Array Processing, CALL SYMPUT Routine and DO Loops |
Pei-Chun T. Wan |
|
5 |
| SESUG |
1998 |
Building Bridges Between Oracle and SAS |
Bill Calvert |
|
6 |
| SESUG |
1998 |
Data Validation Using a SAS Format |
John R. Gerlach |
|
3 |
| SESUG |
1998 |
Formats as a Programming Tool |
John R. Gerlach |
|
7 |
| SESUG |
1998 |
INF()RMA TION 1II.sUALlZATION |
Achieving Graphical Excellence |
|
10 |
| SESUG |
1998 |
Information Visualization |
Donald T. Gantz,
Yan Yuan |
|
9 |
| SESUG |
1998 |
PROC SQL - What Does It Offer Traditional SAS Programming? |
H. Ian Whitlock |
|
6 |
| SESUG |
1998 |
Survey Research Using SAS: Tricks of the Trade |
Archer R. Gravely,
UNC Asheville |
|
10 |
| SESUG |
1998 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
|
5 |
| PNWSUG |
1998 |
TABULATE Footnote Tricks |
Lauren E. Haworth |
|
2 |
| PNWSUG |
1998 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
|
4 |
| PNWSUG |
1998 |
Working with SAS Date and Time Funcitons |
Andrew H. Karp |
|
8 |
| SEUGI |
1998 |
Complementary use of log-linear modelling and correspondence analysis in SAS software |
Jon Paul Laka,
Izaskun Astondoa |
source |
18 |
| SEUGI |
1998 |
Database marketing applications in the Italian banking sector |
Alberto Saccardi,
Guido Cuzzocrea |
source |
8 |
| SEUGI |
1998 |
Knowledge Discovery and Data Mining on the Example of Clinical Databases |
Leon Bobrowski,
Magdalena Topczewska |
source |
6 |
| SEUGI |
1998 |
Multiple correpondence analysis in bank services |
Dusan Mramor,
Igor Horvat,
Joze Rovan |
source |
13 |
| SEUGI |
1998 |
Pension expenditure projections: the legal/institutional model of the State General Accounting Office |
Alessandra DeCastro,
Antonella Menichetti,
Paulo De Persio,
Rocco Aprile |
source |
5 |
| SEUGI |
1998 |
SAS Software for analyzing the side effects of drugs [presentation] |
Irmgard Asnong,
Annick Persoon,
Christine Vander Vorst |
source |
21 |
| SEUGI |
1998 |
SAS software within the Ernst & Young audit practice [presentation] |
Ton Buffing |
source |
36 |
| SEUGI |
1998 |
Taking an HTML Snapshot of a Data Warehouse: Just Say, Cheese! |
Erik Simms,
Jerry Kagan |
source |
6 |
| SEUGI |
1998 |
The actuary laboratory [presentation] |
Paolo Loi,
Stephano Ferri |
source |
7 |
| PharmaSUG |
1998 |
Comparing Clinical Trials Data Using Population Trees |
Lisa McNamara Hlina |
|
7 |
| PharmaSUG |
1998 |
Development of Global Reporting Systems for the Hoechst Marion Roussel Inc. |
Dorothy Hu Huang,
I. Outline |
|
7 |
| PharmaSUG |
1998 |
Serving Up Clinical Information Globally to your Web Browser from MVS |
Don Johns |
|
5 |
| PharmaSUG |
1998 |
The Causes, Impact and Detection of Duplicate Observations |
Alice M. Cheng |
|
11 |
| PharmaSUG |
1998 |
The Right Approach to Learning PROC TABULATE |
Bob Virgile |
|
8 |
| PharmaSUG |
1998 |
Transposing a Relational Database: The Q-System for Pharmaceutical Safety Summarization, Graphics and Analysis |
Mary Cowmeadow |
|
8 |
| SUGI |
1998 |
%COMPARWS: Compare with Summary: A Macro Using PROC COMPARE to W rite a File of Di f ferences to Edit and Use for Updates |
Ronald J. Fehd |
source |
4 |
| SUGI |
1998 |
A Comprehensive Codebook Generator |
Naoko S. Stearns,
John R. Gerlach |
source |
4 |
| SUGI |
1998 |
A Data Warehouse Implementation Using the Star Schema |
Maria Lupetin |
source |
5 |
| SUGI |
1998 |
A Macro to Generate All Combinations of n Items Taken k at a Time (How It Was Designed and Written, and How It Might Be Adapted to Other Uses: A Programming Example) |
Francis J. Kelley |
source |
9 |
| SUGI |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
10 |
| SUGI |
1998 |
Automatic Referencing SAS Macro Variables Using Array Processing, CALL SYMPUT Routine and DO Loops |
Pei-Chun T. Wan |
source |
4 |
| SUGI |
1998 |
Behind Marketing Data in Financial Industry |
Flavio Addolorato,
Luigi Ferrari,
Luigi Guastalla,
Luca Bodio |
source |
11 |
| SUGI |
1998 |
Convex Hull Test for Ordinal Categorical Data Using the SAS System |
Dayong Li,
Huanhong Xia |
source |
6 |
| SUGI |
1998 |
DEMOXRPT: Macros for Writing Exception Reports; Perform Range and Logic Checks on a Data Set; Write File of Exceptions to Edit and Use for Updates |
Ronald J. Fehd |
source |
4 |
| SUGI |
1998 |
Developing Risk-Adjustment Models Using SAS Software: An Application in Home Health Care |
Ding Alonzo,
Albert Alva |
source |
4 |
| SUGI |
1998 |
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents |
John C. Brocklebank,
Mark Brown |
source |
24 |
| SUGI |
1998 |
Introduction to the Basics - Avoiding Some Pitfalls |
Deb Cassidy |
source |
8 |
| SUGI |
1998 |
Moving Data Between SAS and FAME |
Stephen B. Taubman |
source |
2 |
| SUGI |
1998 |
On Data Transfer |
Aileen L. Yam |
source |
10 |
| SUGI |
1998 |
Optimizing SAS Access to an Oracle Database in a Large Data Warehouse |
Clare Somerville,
Clive Cooper |
source |
10 |
| SUGI |
1998 |
Overall Part Number Item |
Rank Rank |
source |
19 |
| SUGI |
1998 |
PROC UNIVARIATE and PROC TABULATE - A Powerful Duo to Produce Descriptive Tables Including Non-parametric Estimates |
Barbara G. Schneider |
source |
4 |
| SUGI |
1998 |
Proving it Works: Using PROC COMPARE to Verify an Analysis Converted into SAS Software |
Lauren E. Haworth,
Njeri Karanja |
source |
6 |
| SUGI |
1998 |
Reporting Results of Multiple Logistic Regression Models Depending on the A vailability of Data |
Richard M. Mitchell |
source |
5 |
| SUGI |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1998 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
7 |
| SCSUG |
1997 |
A Generalization of the Stuart-Maxwell Test |
Stephen I. Black,
Mithat Gonen |
|
14 |
| SCSUG |
1997 |
Statistical Enhancements in Release 6.12 of the SAS System |
Maura E. Stokes |
|
7 |
| SCSUG |
1997 |
The Utter Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
|
7 |
| WUSS |
1997 |
Analysis of Student Minimum Wage Perception Using the SAS System |
Maria Lizet Arellano,
Pedro Mercado,
John F. Killeen |
source |
4 |
| WUSS |
1997 |
Monte Carlo Simulation Approach to Assess Health Care Claims Risk |
Zhirong Mao |
source |
4 |
| WUSS |
1997 |
Presentation of Simple Statistics Using Multiple By-Variables |
Kathryn A. Valdes |
source |
6 |
| WUSS |
1997 |
The Use of Central Analysis File or Patient File in the Analysis and Management of Clinical Trials Data |
Ajit Gemunu de Silva |
source |
3 |
| WUSS |
1997 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
7 |
| NESUG |
1997 |
Clustering for Market Segmentation |
Frederick E. Pratter |
|
10 |
| NESUG |
1997 |
FREQ-OUT: An Applied Presentation of the Options and Output of the FREQ Procedure |
Pamela Landsman |
|
6 |
| NESUG |
1997 |
Implementation and Comparison of the Back Propagation Neural Network in SAS Software |
John S. DaPonte |
|
10 |
| NESUG |
1997 |
Managing a Help Desk Contacts Database Using the WWW and SAS Software |
Mary-Elizabeth Eddlestone |
|
10 |
| NESUG |
1997 |
PROC TABULATE: Controlling Table Appearance |
August V. Treff |
|
11 |
| NESUG |
1997 |
Sample SAS Program for Reporting (from Multiple Records) |
Hla Win |
|
2 |
| NESUG |
1997 |
SAS Versatility: Using SAS Software to Analyze and Report Students' Evaluations of Faculty |
Gail Wisan |
|
10 |
| NESUG |
1997 |
Saving Trees and Time - A SAS Macro for Testing and Reporting the Association Between Multiple Candidate Variables and a Single Binary Variable |
Christianna S. Williams |
|
9 |
| NESUG |
1997 |
Time Series Magic: Smoothing, Interpolating, Expanding and Collapsing Time Series Data With PROC EXPAND |
Andrew H. Karp |
|
5 |
| NESUG |
1997 |
Using %WINDOW to Obtain User Criteria for Reports |
Michael A. Mace |
|
5 |
| NESUG |
1997 |
Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance |
Matthew Reilly |
|
8 |
| NESUG |
1997 |
Using Logistic Regression to Test for Interaction in the Presence of Zero Cells |
Lisa Suchower |
|
10 |
| MWSUG |
1997 |
Building a Better Dataset Descriptor |
Mike D. Tangedal |
|
6 |
| MWSUG |
1997 |
Implementing a SAS Data Warehouse Considering Star, Fact Constellation, and Snow Flake Schemata |
Marie Lupertin |
|
8 |
| MWSUG |
1997 |
Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals |
Lynette A. Gerstner |
|
7 |
| MWSUG |
1997 |
Transporting a Relational Database: The Q-System for Pharmaceutical Safty Summarization, Graphs, and Analysis |
Mary Cowmeadow |
|
5 |
| MWSUG |
1997 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
|
7 |
| SESUG |
1997 |
Comparing Clinical Trials Data Using Population Trees |
Lisa McNamara Hlina |
|
6 |
| SESUG |
1997 |
Computer-Assisted Real-Time Observation: Issues in Data Management |
Eric V. Bodner,
Michael J. Demand |
|
2 |
| SESUG |
1997 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
|
7 |
| SESUG |
1997 |
Learning About Your Data: Tips and Techniques for Looking at Large Files |
Sandra D. Schlotzhauer |
|
10 |
| SESUG |
1997 |
SAS/ASSIST Software for Beginners |
Sally M. Muller,
Arturo Barrios |
|
14 |
| SESUG |
1997 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
|
8 |
| SESUG |
1997 |
Stratified Weighting of Sample Data for Descriptive Purposes |
David L. Alderton |
|
4 |
| SESUG |
1997 |
The Case of the Missing Data |
Maribeth H. Johnson,
Mark S. Litaker |
|
6 |
| SESUG |
1997 |
The Right Approach to Learning PROC TABULATE |
Bob Virgile |
|
7 |
| SEUGI |
1997 |
A system for managing economic databases |
Helena Pompushko |
source |
6 |
| SEUGI |
1997 |
AWACS flight data - NATO surveillance, using a warehouse and graphics to visualise flight data |
Dario Nicolella,
G.P.W van Tol |
source |
12 |
| SEUGI |
1997 |
Behavioural analysis of retail customers at Banca Commerciale Italiana |
Flavio Addolorato,
Luca Bodio |
source |
10 |
| SEUGI |
1997 |
Inter-rater agreement in medical studies: analysis tools within SAS software |
Barbara G. Schneider |
source |
12 |
| SEUGI |
1997 |
The correction of wrong results obtained with the "Agree"option in PROC FREQ for contingency tables with empty rows and columns |
Richard Vonk,
Werner Wierich |
source |
8 |
| SEUGI |
1997 |
The Use of the Data Table to Develop New Variables for Customer Selection |
Martin Beasley,
Richard Cannon |
source |
13 |
| SEUGI |
1997 |
Using SAS software to forecast the results of the Russian parliamentary and presidential elections |
Igor Romanov |
source |
27 |
| SEUGI |
1997 |
Warehousing works |
Oratio Gaigher |
source |
11 |
| SEUGI |
1997 |
Weighted Poisson Analysis à la Goodman using SAS software |
Rian Vogelesang |
source |
14 |
| PharmaSUG |
1997 |
Developing a Suite of Clinical Report Macros for SAS/PH-Clinical |
Paul M. Gilbert,
Steven Light |
|
9 |
| PharmaSUG |
1997 |
PROC TRANSPOSE as a Useful Intermediary Step in Generating Tables and Listings |
Tony T. Salehi |
|
11 |
| PharmaSUG |
1997 |
The Jonckheere-Terpstra Nonparametric Ordered Alternatives Test |
Nestor Rohowsky |
|
10 |
| SUGI |
1997 |
%CHECKALL: A Macro to Produce a Frequency of Response Data Set from Multiple-Response Data |
Ronald J. Fehd |
source |
5 |
| SUGI |
1997 |
%SHOWCOMB; A Macro to Produce a Data Set with Frequency of Combinations of Responses from Multiple-Response Data |
Ronald J. Fehd |
source |
5 |
| SUGI |
1997 |
A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient |
Robert A. Vierkant |
source |
5 |
| SUGI |
1997 |
Building an Online Information Processing System Using SAS Software and a UNIX Shell Script |
Annie S. Guo,
Long Ngo |
source |
6 |
| SUGI |
1997 |
Constructing ROC Curves with the SAS System |
Andrew G. Stead,
Karen G. MacDonald |
source |
4 |
| SUGI |
1997 |
Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros |
Jun Zuo,
Carl R. Haske |
source |
6 |
| SUGI |
1997 |
How Many Good Fishes Are There in Our Net? Neural Networks as a Data Analysis Tool in CDE-Mondadori's Data Warehouse |
Guido Cuzzocrea,
Alberto Saccardi,
Giovanni Lux,
Emilia Porta,
Arianna Benatti |
source |
6 |
| SUGI |
1997 |
Kappa Statistics for Multiple Raters Using Categorical Classification |
Annette M. Green |
source |
6 |
| SUGI |
1997 |
Learning About Your Data: Tips and Techniques for Looking at Large Files |
Sandra D. Schlotzhauer,
Bob Anschuetz |
source |
|
| SUGI |
1997 |
Manipulating Clinical Research Data with the TRANSPOSE Procedure in SAS/ASSIST Software |
Stanley Cron |
source |
2 |
| SUGI |
1997 |
SAS/ASSIST Software for Beginners |
Sally M. Muller,
Arturo Barrios |
source |
14 |
| SUGI |
1997 |
UnifyPow: A SAS Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
6 |
| SUGI |
1997 |
Using Survey Data: Tips to Pick Up Speed on the Road to Analysis |
Cynthia L. Williamson,
Suzanne D. Kreutzer |
source |
6 |
| SUGI |
1997 |
Want Quick Results? An Introduction to SAS/GRAPH Software |
Arthur L. Carpenter |
source |
6 |
| SCSUG |
1996 |
Fishing for Exactness |
Ted Pedersen |
|
13 |
| SESUG |
1996 |
%CHECKALL: A Macro to Produce a Frequency of Response Data Set from Multiple-Response Data |
Ronald J. Fehd |
|
6 |
| SESUG |
1996 |
%SHOWCOMB; A Macro to Produce a Data Set with Frequency of Combinations of Responses from Multiple-Response Data |
Ronald J. Fehd |
|
4 |
| SESUG |
1996 |
Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures |
Margaret A. Connolly |
|
6 |
| SESUG |
1996 |
SAStistics 101 |
Robert E. Johnson |
|
8 |
| NESUG |
1996 |
An Alternative Way to Compute the Kappa Statistics in Observer Agreement Studies |
Yukiko Ellis |
|
8 |
| NESUG |
1996 |
Macros Developed for Statistical Summary and Tabulation of Clinical Data |
William Sun,
David Lago,
David Handelsman,
Jack Shostak |
|
10 |
| NESUG |
1996 |
Statistical Analysis of Self-Organizing Maps |
Susan B. Garavaglia,
Asha Sharma |
|
10 |
| NESUG |
1996 |
Using the SAS System for Continuous Quality Improvement |
Melissa A. Durfee |
|
10 |
| NESUG |
1996 |
Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data |
Lisa Suchower,
Margaret Copenhaver |
|
8 |
| MWSUG |
1996 |
A Macro to Estimate Morbidity Indices |
Laurel A. Panser,
Janice R. Offord,
James M. Naessens,
Mary E. Campion,
Sherine E. Gabriel |
|
8 |
| MWSUG |
1996 |
Advanced Uses of SAS Formats |
Howard Levine |
|
10 |
| MWSUG |
1996 |
Customized Report Writing Using PROC PRINTO |
Kim L. Kolbe Ritzow |
|
12 |
| MWSUG |
1996 |
Hidden Gems in the SAS System |
Steven J. First |
|
10 |
| MWSUG |
1996 |
Using SAS Genmod Procedure to fit Diagonal Class Models to Square Contingency Tables Having Ordered Categories |
H. Bayo Lawal |
|
12 |
| WUSS |
1996 |
Comparison of Different SAS Modules for Effective Data Analyses |
George C. J. Fernandez |
source |
2 |
| WUSS |
1996 |
Data Know Thyself: A Macro to Tell You Everything You Need to Know About Data Set Characteristics |
Karsten M. Self |
source |
5 |
| WUSS |
1996 |
Exploratory Variable Clustering for Integrating Analyses |
David J. Pasta,
Lori Potter |
source |
5 |
| WUSS |
1996 |
In-House SAS Training |
Martin Haase |
source |
6 |
| WUSS |
1996 |
The Incredible Shrinking Report |
Diana D. Suhr |
source |
5 |
| WUSS |
1996 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
source |
4 |
| WUSS |
1996 |
Using Survey Data: Tips to Pick Up Speed on the Road to Analysis |
Cynthia L. Williamson,
Suzanne D. Kreutzer |
source |
6 |
| WUSS |
1996 |
Why Knowing About Our Customers Helps Our Business A Practical Application of Business Intelligence Software |
John McIntyre,
Marc Halsted |
source |
9 |
| PNWSUG |
1996 |
Computing and Presenting Adjusted Rates for Health Utilization Research |
William Kreuter |
|
17 |
| PNWSUG |
1996 |
Using SAS View to Enhance Software Quality, Improve Data Security and Reduce Data Replication |
Adam Hendricks |
|
27 |
| PNWSUG |
1996 |
When and How th PROC TABULATE Can Be Used |
Minghui Yang |
|
10 |
| SEUGI |
1996 |
A vision of the future for personal lines insurers - Data warehouses, Neural Networks and all that |
Geoff Trahair |
source |
30 |
| SEUGI |
1996 |
Early quality assessment in data warehouse loading |
Jan Wilem van der Grijp |
source |
13 |
| SEUGI |
1996 |
Is this the right solution? An example of producing descriptive tables including non-parametric estimates |
Barbara G. Schneider |
source |
6 |
| SEUGI |
1996 |
PADRES: a system supporting the user friendly access and analysis of pharma Chemical Production Data |
B. Rutishauser,
H.W. Schrader,
Th. Graf |
source |
44 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| SEUGI |
1996 |
Relevance of Data Warehouse Solutions for the Telecom Business |
Mattias Ohman,
Andreas Saflund |
source |
27 |
| SEUGI |
1996 |
SIAP: an integrated statistical package for living condition analyses |
Antonella D'Agostino,
Giulio Ghellini,
Laura Neri |
source |
18 |
| SEUGI |
1996 |
TREEDISC - a method for identifying household segments |
Sten Sture |
source |
11 |
| SUGI |
1996 |
A SAS Macro for validating a Logistic Model with Split Sample and Bootstrap Methods |
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski,
Bharat K. Thakkar |
source |
4 |
| SUGI |
1996 |
A Statistical Analysis Macro Library in SAS Software |
Vivienne Ward,
Carl R. Haske |
source |
5 |
| SUGI |
1996 |
A Tutorial on Bootstrapping in the SAS System |
Paul A. Thompson |
source |
10 |
| SUGI |
1996 |
Advanced Uses of SAS Formats |
Howard Levine |
source |
10 |
| SUGI |
1996 |
Character-Based and Object-Oriented Reporting with SAS Procedure and PUT Style Output: Annotate Character Based Reports! |
M. P. Welch |
source |
4 |
| SUGI |
1996 |
Computing Min and Max Scorings for Two-Sample Ordinal Data |
Lyn Whitaker,
Michael D. Whitaker |
source |
6 |
| SUGI |
1996 |
Counting on Base SAS Software |
Beth S. Wilson |
source |
4 |
| SUGI |
1996 |
Data Summary: Beyond the Basics |
Susan J. Slaughter,
Lora D. Delwiche |
source |
7 |
| SUGI |
1996 |
Delving into the Data Warehouse: Levels of Analysis for a Three-Tier Survey Analysis System |
David J. Ross |
source |
6 |
| SUGI |
1996 |
Developing a Theatre Information Tool Using the $AS System |
James D. Ryan |
source |
4 |
| SUGI |
1996 |
Examining the File Contribution Server: Interesting Applications |
Richard D. Langston |
source |
4 |
| SUGI |
1996 |
Health Care Transformation: The Role of Technology |
Greg Rogers,
Ellen Joyner |
source |
9 |
| SUGI |
1996 |
Implementation of a Barcode Interface to an Existing SAS Database Using SAS/AF and SAS/FSP Software, and SAS Screen Control Language |
Lee Maddy |
source |
5 |
| SUGI |
1996 |
Introduction to SAS/GRAPH Software |
Kent S. Smoak |
source |
7 |
| SUGI |
1996 |
It'S Not a Bug, It's a Feature!! |
Neil H. Howard,
Linda Williams Pickle,
James B. Pearson Jr. |
source |
|
| SUGI |
1996 |
New Age Marketing: Past Life Regression vs. LogisticRegression |
C. Olivia Parr Rud |
source |
5 |
| SUGI |
1996 |
Rapid Information System Development: Evaluating the Billing Practices of 1,400 Attorneys Using aSAS/FSP Application Developed in 30 Hours |
Douglas F. Herta |
source |
4 |
| SUGI |
1996 |
SAS Software to the Rescue! A UNIX System Administrator's Tool |
Lisa P. Wayte |
source |
6 |
| SUGI |
1996 |
Teaching the SAS System as an Academic Subject |
Andrew H. Karp |
source |
|
| SUGI |
1996 |
Temporal and Geographical Statistical Modeling: A New Paradigm |
M. W. Hemphill,
Thomas W. Sager |
source |
9 |
| SUGI |
1996 |
Transforming Accounting Transactions into Customer Lifetime Values |
Thayer Allison |
source |
4 |
| SUGI |
1996 |
Transforming SAS Data Sets Using Arrays |
Ronald P. Cody |
source |
5 |
| SUGI |
1996 |
Two Techniques for Creating Report Quality Tables of Numerous Variables |
Ray White |
source |
5 |
| SUGI |
1996 |
Using Options to Improve Report Appearance |
Deb Cassidy |
source |
10 |
| SUGI |
1996 |
Using the SAS System to Detect Differential Item Functioning |
James A. Penny |
source |
6 |
| SUGI |
1996 |
WHATIToo: Documentation Automatically Produced by Your SAS Program |
Karen Crandall |
source |
3 |
| SUGI |
1996 |
Why Knowing About Our Customers Helps Our Business A Practical Application of Business Intelligence Software |
John McIntyre,
Marc Halsted |
source |
6 |
| SUGI |
1996 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
5 |
| SCSUG |
1995 |
SAS Tips |
Philip A. Mason |
|
14 |
| MWSUG |
1995 |
A Statistical Analysis Macro Library in SAS |
Carl R. Haske,
Vivienne Ward |
|
5 |
| MWSUG |
1995 |
Designing a USABLE Application: User Interfaces and Usability Testing |
Jason Thomas |
|
7 |
| MWSUG |
1995 |
Poster - Frequencies of a Multiple Mention Question |
Leslie A. Christensen |
|
5 |
| MWSUG |
1995 |
Using the WHERE Statement |
Robert Virgile |
|
5 |
| NESUG |
1995 |
A SAS Macro for Condensed Frequencies |
Bruce Ellis |
|
3 |
| NESUG |
1995 |
Beginning Tutorial SAS/ASSIST; Explore the 'Point-and-Click' Approach |
Evelyn F. Myers |
|
5 |
| NESUG |
1995 |
Converting PROC FREQ Output to a Data File |
Charles A. DePascale,
Patricia Cole |
|
2 |
| NESUG |
1995 |
Creating ASCII Fixed Length Record Files from SAS Data Sets |
Lawrence W. Altmayer |
|
2 |
| NESUG |
1995 |
Empowering Researchers: Using SAS/AF to Create A Graphical User Interface to SAS, Sybase, and the UNIX System |
Charles Perdue Sutelan |
|
9 |
| NESUG |
1995 |
How to Put Almost Anything into a PROC TABULATE Cell |
Michael E. Tomb |
|
2 |
| NESUG |
1995 |
Multivariate Density Estimation using SAS Software |
Jeffrey S. Butler |
|
9 |
| NESUG |
1995 |
Novel Uses of Extended Tables in SAS-AF Program Entries |
James K. Schwar |
|
7 |
| NESUG |
1995 |
PROC TABULATE: Controlling Table Appearance |
August V. Treff |
|
8 |
| NESUG |
1995 |
Some Clever Things to Do with User Defined INFORMATS |
Ronald P. Cody |
|
6 |
| NESUG |
1995 |
Tired of Clincial SAS?: An Application for Drug Safety |
Jim M. Obritz,
Scott T. LaPorte |
|
4 |
| NESUG |
1995 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
|
4 |
| NESUG |
1995 |
Using the WHERE Statement |
Bob Virgile |
|
5 |
| NESUG |
1995 |
WHATITDO: Documentation Automatically Produced By Your SAS Programs |
Karen Crandall |
|
3 |
| NESUG |
1995 |
When Chi-Square Does Not Hold: How to Analyze Tables With Low Cell Frequencies With SAS |
Lothar Tremmel |
|
9 |
| NESUG |
1995 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
|
5 |
| WUSS |
1995 |
Designing a USABLE Application: User Interfaces and Usability Testing |
Jason Thomas |
source |
7 |
| WUSS |
1995 |
Tuning Tips for Applications That Use SAS/SHARE Software |
Bill Brideson,
Steve Beatrous,
Daniel J. Squillace,
Jan Squillace |
source |
10 |
| SESUG |
1995 |
Applications Development |
Aftab S. Hassan |
|
7 |
| SESUG |
1995 |
Applications Development DOES PROGRAM EFFICIENCY REALLY MATTER ANYMORE? |
Sigurd W. Hermansen |
|
10 |
| SESUG |
1995 |
Designing a USABLE Application: User Interfaces and Usability Testing |
Jason Thomas |
|
7 |
| SESUG |
1995 |
New Age Marketing: Past Life Regression versus Logistic Regression |
C. Olivia Parr Rud |
|
9 |
| SESUG |
1995 |
Using Dictionary Tables to Create Meaningful Titles |
Frank C. Dilorio |
|
5 |
| SESUG |
1995 |
Using PROC EXPAND with Time Series Data |
Andrew H. Karp |
|
4 |
| SESUG |
1995 |
Using SAS to Auto-code Occupation and Industry Fields |
Gail Wisan |
|
6 |
| SESUG |
1995 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
|
5 |
| SEUGI |
1995 |
A School Population Forecast Model |
Pasqualino Castaldi |
source |
10 |
| SEUGI |
1995 |
Management Information Telephone Calls |
Walter Diele |
source |
6 |
| SEUGI |
1995 |
SAS Macro Routines for Developing Guidelines to Measure the Appropreateness of Medical Care Applying the RAND/UCLA Method |
Giovanni Filardo |
source |
12 |
| SEUGI |
1995 |
Simultan Data Collection to a DB2-table with FSEDIT and the SQL Cartesian Product |
Thorleif Maudal |
source |
12 |
| SEUGI |
1995 |
Statistics and Democracy Preference Mapping in Opinion Poll Analysis |
Guido Cuzzocrea |
source |
6 |
| SEUGI |
1995 |
The Service Level Supplied by the Information Services Function: Societa' Italiana Per II Gas Experience |
Marco Marchioni |
source |
19 |
| SEUGI |
1995 |
TLO - Targetting Labour Offer |
Flavio Bonifacio |
source |
7 |
| SEUGI |
1995 |
Transforming and Presenting Information From Raw Data to an Organized Document Through the SAS System Version 6.08 for Windows Features |
Paola Balardi |
source |
11 |
| SEUGI |
1995 |
UBIRIS - A System to Support Investment Research and Publications at UBS |
Beat Moser |
source |
10 |
| SEUGI |
1995 |
Uses of Neural Nets in the SAS System |
Derek Powell,
Martin Duffy |
source |
11 |
| SUGI |
1995 |
A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses |
Nancy McDermott,
Cynthia White |
source |
6 |
| SUGI |
1995 |
An Introduction to Partial Least Squares Regression |
Randall D. Tobias |
source |
8 |
| SUGI |
1995 |
Approaches to the Nonparametric Tests for Samples Location Comparison in SAS Software |
C. J. Tian,
S. Shiue |
source |
3 |
| SUGI |
1995 |
Are Strings Tying You in Knots? |
Deb Cassidy |
source |
10 |
| SUGI |
1995 |
Bootstrap Cox Regression Using SAS Procedures |
Chikuma Hamada,
Junji Kishimoto |
source |
5 |
| SUGI |
1995 |
Designer Graphics: Anatomy of Some SAS Macros for Statistical Graphics |
Michael Friendly |
source |
8 |
| SUGI |
1995 |
Designing a USABLE Application: User Interfaces and Usability Testing |
Jason Thomas |
source |
7 |
| SUGI |
1995 |
DSGI: The OTHER Way to Do SAS Graphics |
C. Michael Whitney |
source |
6 |
| SUGI |
1995 |
Estimating Effects of Transparency on Market Quality: A SAS/OR Application |
Barbara B. Okerson,
Dominique Vacheron |
source |
3 |
| SUGI |
1995 |
How to Retrieve Information from a Print File or a Log File and Pass It to a Later Step of the Same Program |
Hugh Geary |
source |
4 |
| SUGI |
1995 |
Implementation of the FREOP System - The Quality Solution Provided for Northrop Grumman Corporation |
Donna O. Fulenwider,
Bradley W. Klenz,
Lorraine Schacht |
source |
6 |
| SUGI |
1995 |
Introducing the Market Research Analysis Application |
Wayne E. Watson |
source |
8 |
| SUGI |
1995 |
Karnaugh Maps, Interaction Effects and Creating Composite Dummy Variables for Regression Analysis in SAS Software |
Lawrence C. Marsh,
Karin Wells |
source |
10 |
| SUGI |
1995 |
PCs and SAS Software Applied to Public Health Surveillance |
Philip J. d'Almada |
source |
7 |
| SUGI |
1995 |
SAS Macros Useful in Imputing Missing Survey Data |
Barbara Lepidus Carlson,
Brenda Cox,
Linda Bandeh |
source |
6 |
| SUGI |
1995 |
Some Clever Things to Do with User Defined INFORMATS |
Ronald P. Cody |
source |
6 |
| SUGI |
1995 |
The AXIS Statement: Your Ally for Controlling Graphic Text |
Arthur L. Carpenter |
source |
5 |
| SUGI |
1995 |
The Quality Solutions Provided by an Automated Statistical Process Control System at Northrop Grumman Corporation |
Lorraine Schacht,
Donna O. Fulenwider,
Bradley W. Klenz |
source |
5 |
| SUGI |
1995 |
The Utter Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
source |
6 |
| SUGI |
1995 |
Twin_Gen: A SAS Macro for the Genetic Analysis of Twin Data |
Kenneth Bukowski,
ViswanaThan Ramakrishnan,
Joanne Meyer,
William G. Henderson,
Mary Ellen Vitek,
Mary Biondic,
Jack Goldberg |
source |
7 |
| SCSUG |
1994 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
6 |
| SCSUG |
1994 |
Two Macros for Calculating Often Used Statistics of Symmetry and Agreement in the Biopharmaceutical Industry |
Jeff Heckathorn,
Mark F. Munsell |
|
12 |
| SCSUG |
1994 |
Using the SAS System to Help Manage Data |
Clarence W. Jackson |
|
4 |
| WUSS |
1994 |
Experimental Design and Survey Sampling Methods Using the SAS Macro Utility |
Paul W. Johnson |
source |
7 |
| WUSS |
1994 |
Working with SAS Date and Time Functions |
Andrew H. Karp |
source |
5 |
| NESUG |
1994 |
A Font Control Macro for HP Laserjet III Printer |
Frederick E. Pratter |
|
2 |
| NESUG |
1994 |
A Program that Analyzes Multiple-Choice Test Results Using Output from SAS's Item Macro |
Marvin S. Margolis |
|
10 |
| NESUG |
1994 |
A SAS Macro Incorporating Discriminant Analystis Techniques |
Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein |
|
9 |
| NESUG |
1994 |
Avoiding, Accepting and Taking Advantage of Missing Data |
Warren Repole Jr. |
|
10 |
| NESUG |
1994 |
Exploratory Data Analysi When You Don't Have SAS/INSIGHT |
Michael A. Walega |
|
10 |
| NESUG |
1994 |
Some Clever Things to Do with User Defined INFORMATS |
Ronald P. Cody |
|
6 |
| NESUG |
1994 |
Using SAS to Simulate Questionnaire Style Data |
John F. Walsh |
|
3 |
| MWSUG |
1994 |
Are Strings Tying You in Knots? |
Deb Cassidy |
|
10 |
| MWSUG |
1994 |
DSCI: The OTHER Way to do SAS Graphics |
C. Michael Whitney |
|
7 |
| MWSUG |
1994 |
Letting SAS Find the Data Errors When You Have Multiple Observations and/or Multiple Datasets |
Deb Cassidy |
|
9 |
| SESUG |
1994 |
APPLICATIONS DEVELOPMENT An Implementation of SASe in an Environmental Information System |
Teresa James |
|
6 |
| SESUG |
1994 |
Critical Steps to Meaningful Causal Data Analysis |
Deborah Wall |
|
4 |
| SESUG |
1994 |
Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios |
Sigurd W. Hermansen |
|
5 |
| SESUG |
1994 |
SAS 6.09 on a CONVEX C3840: First Impressions |
Kenneth A. Hardy,
Sally M. Muller |
|
8 |
| SESUG |
1994 |
SrATISIlCS |
Colored Candles |
|
5 |
| SESUG |
1994 |
The Utter Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
|
7 |
| SEUGI |
1994 |
A Graphic Approach to the Evaluation of the Performance of Diagnostic Tests Using SAS Software |
Renza Cristofani |
source |
9 |
| SEUGI |
1994 |
New Features of SAS/PH-Clinical Software |
Brian Fredric |
source |
6 |
| SEUGI |
1994 |
The Analysis of Data from Case-control Studies Which Statistical Methods and Software Products are Used |
Olaf Gefeller |
source |
9 |
| SEUGI |
1994 |
The Panel Administration System |
Andrew Beggs |
source |
10 |
| SEUGI |
1994 |
Using SAS Software to Analyse the Use of Electronic Mail in the University of Liverpool |
C. Woolf |
source |
8 |
| SEUGI |
1994 |
Visualisation and Analysis of Urban Traffic Data |
Vesna Luzar |
source |
11 |
| SUGI |
1994 |
A Macro to Facilitate the Visualization of Individual Patient Efficacy and Safety During an Investigational (Phase III) Clinical Trial |
Marjorie Bell,
Marcella D. Stricklin |
source |
5 |
| SUGI |
1994 |
A SAS/AF System for Entry, Validation, Analysis, and Reporting of Diverse Survey Data from Multiple Sites |
William A. Harris,
Charles W. Warren |
source |
6 |
| SUGI |
1994 |
An Introduction to PROC TABULATE: A Hands-on Workshop |
Christopher Toppe |
source |
6 |
| SUGI |
1994 |
Avoiding, Accepting and Taking Advantage of Missing Data |
Warren Repole Jr. |
source |
9 |
| SUGI |
1994 |
Colored Candies and Base SAS: A Sweet Way to Produce Chi-Square Control Charts Part 1: Tutorial |
Sherry Joyce King,
Melvin T. Alexander |
source |
6 |
| SUGI |
1994 |
Colored Candies and PROC MACONTROL: A Sweet Way to Produce Chi-Square Control Charts Part 2: Statistical Presentation |
Melvin T. Alexander,
Sherry Joyce King |
source |
6 |
| SUGI |
1994 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
source |
6 |
| SUGI |
1994 |
Graphical Analysis of Multidimensional Ecological Community Data |
E. Barry Moser |
source |
6 |
| SUGI |
1994 |
Integrating Statistical Information into Graphical Displays |
Susan J. Kenny |
source |
10 |
| SUGI |
1994 |
Introduction to the UNIVARIATE Procedure |
Kim L. Kolbe Ritzow |
source |
8 |
| SUGI |
1994 |
Managing Your Phone Calls in a Help Desk Environment |
Mary A. Garner,
Lisa P. Wayte |
source |
5 |
| SUGI |
1994 |
No Puts Allowed: Completely Customized Tables with the PRINT Procedure |
James P. Young Jr. |
source |
6 |
| SUGI |
1994 |
Preliminary Data Management and Report Generation Using the SAS System on the PC |
Carmen F. Gillem,
William C. Murphy,
Ronald J. Billings |
source |
3 |
| SUGI |
1994 |
Processing Large SAS and DB2 Files: Close Encounters of the Colossal Kind |
Judy Loren,
Alan Dickson |
source |
8 |
| SUGI |
1994 |
SAS 6.09 on a CONVEX C3840: First Impressions |
Kenneth A. Hardy,
Sally M. Muller |
source |
8 |
| SUGI |
1994 |
SAS Software Utilization in the Production of Fibers |
Robert V. Baxley Jr.,
Jerry L. Oglesby |
source |
8 |
| SUGI |
1994 |
Small-Sample Inference in SAS Software: Using Exact Methods |
Cyrus R. Mehta |
source |
9 |
| SUGI |
1994 |
Some Clever Things to Do with User Defined INFORMATS |
Ronald P. Cody |
source |
6 |
| SUGI |
1994 |
Tables for Two: An Introduction to the TABULATE Procedure |
Kathy McLeod |
source |
10 |
| SUGI |
1994 |
Using SAS Software to Analyze Paired Comparisons Preference Data Under Coomb's Unidimensional Unfolding Model |
Jeff A. Sloan |
source |
6 |
| SUGI |
1994 |
Using the SAS System to Assess the Effectiveness of An Educational Program |
Paul E. Pope |
source |
6 |
| SUGI |
1994 |
Using the SAS System to Score the SF-36 Health Survey |
Katherine Newvine |
source |
6 |
| NESUG |
1993 |
An Overview of Methods Available For Obtaining Frequency Counts of Categorical Data |
Lawerence P. Specht |
|
10 |
| NESUG |
1993 |
Calculating Missing Value Counts |
Loren Lidsky |
|
2 |
| NESUG |
1993 |
Close Encounters of the Colossal Kind: How Can Large SAS and DB2 Files Get Together? |
Judy Loren,
Alan Dickson |
|
8 |
| NESUG |
1993 |
Counting Responses to Multiple-Choice Questions |
Charles A. DePascale,
Margaret Rost |
|
2 |
| NESUG |
1993 |
Interfacing StatXact and SAS for Exact Tests |
Cyrus R. Mehta,
David C. Schlotzhauer |
|
9 |
| NESUG |
1993 |
Three-Way Crosstabulation with PROC FREQ and the OUTPCT Option |
Adeline J. Wilcox |
|
2 |
| NESUG |
1993 |
User-friendly Testing Analysis with SAS Software Products |
Andy Ravenna,
Mark L. Schneider |
|
6 |
| NESUG |
1993 |
Using the WHERE Statement |
Robert Virgile |
|
5 |
| WUSS |
1993 |
180 Terrific Ideas for Using and Learning the SAS System |
Helen D. Carey,
Ginger Carey |
source |
6 |
| WUSS |
1993 |
Improving Business Education with SAS: Business Students Perceptions |
Miro Costa |
source |
9 |
| WUSS |
1993 |
The Urge to Merge: A Computational Method for Linking Datasets With No Unique Identifier |
Robert M. Bell,
Joan Keesey,
Toni Richards |
source |
6 |
| WUSS |
1993 |
Visualization and Analysis of Disease Progression Over Time |
Joseph I. Bormel,
Linda R. Ferguson |
source |
3 |
| SCSUG |
1993 |
An Algorithm for Creating Multiple Response Variables |
Paul E. Pope |
|
4 |
| SCSUG |
1993 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
30 |
| SCSUG |
1993 |
Intoduction to SAS Display Manager Windows in MVS/TSO |
Kerril S. Bauerly,
Matthew Grover |
|
28 |
| SCSUG |
1993 |
Responses to Open-Ended Survey Questions: What To Do |
Paul E. Pope |
|
4 |
| MWSUG |
1993 |
Analysis of Incomplete Categorical Repeated Measures |
Charles S. Davis |
|
6 |
| MWSUG |
1993 |
Designer Graphics - Anatomy of Some SAS Macros for Statistical Graphs |
Michael Friendly |
|
8 |
| MWSUG |
1993 |
Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data |
Sameer Kumar,
Sant R. Arora |
|
10 |
| MWSUG |
1993 |
Efficent Use of Data Storage with SAS |
Eric Webster |
|
9 |
| MWSUG |
1993 |
Graphical Methods for Categorical Data |
Michael Friendly |
|
7 |
| MWSUG |
1993 |
How to Make Data Found in a Print File Available to a Later Step of the Same Program |
Hugh Geary |
|
5 |
| MWSUG |
1993 |
Tuning Tips for Applications That Use SAS/SHARE Software |
Bill Brideson,
Steve Beatrous,
Daniel J. Squillace,
Jan Squillace |
|
10 |
| SEUGI |
1993 |
A Generic Data Listing System Developed for Pharmaceutical Reporting |
Peter Fursdon |
source |
11 |
| SEUGI |
1993 |
A SAS Macro to Perform a Nonparametric Exact Test of Homogeneity for Correlated Categorical Data |
Comelia Baldauf |
source |
5 |
| SEUGI |
1993 |
A SAS/AF Application for Local Police Forces |
Martine Beullens |
source |
10 |
| SEUGI |
1993 |
Analysing Multiple Response Survey Data: An Overview of Strategies and Methods |
Paul E. Pope |
source |
8 |
| SEUGI |
1993 |
Epidemiologic Concepts for Describing Disease Frequencies |
Anette Pfahlberg |
source |
8 |
| SEUGI |
1993 |
Extensions to Multivariate Descriptive Analysis |
Yves Roy |
source |
14 |
| SEUGI |
1993 |
Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali |
Michel Tenehaus |
source |
28 |
| SEUGI |
1993 |
Graphics as a Carrier of Information |
Sten Sture |
source |
15 |
| SEUGI |
1993 |
Marketing and Using the SAS System in the Computer Audit Environment |
Francois van der Walt |
source |
12 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SUGI |
1993 |
180 Terrific Ideas for Using and Learning the SAS System |
Helen D. Carey,
Ginger Carey |
source |
6 |
| SUGI |
1993 |
A Mainframe/Microcomputer Personnel Salary Review Input and Analysis Management Information Application |
Robert A. Somer,
Charles E. Pecot |
source |
10 |
| SUGI |
1993 |
Analyzing Multiple Response Survey Data: An Overview of Strategies and Methods |
Paul E. Pope |
source |
6 |
| SUGI |
1993 |
Automatic Features for Row, Column, and Missing Value Handling for a Macro That Builds Tables from FREQ Procedure Output Files |
Hugh Geary |
source |
6 |
| SUGI |
1993 |
Bayesian Statistics in SAS Software |
William J. Raynor Jr. |
source |
10 |
| SUGI |
1993 |
DATA Step Kappa Computations |
Peter P. Gaccione |
source |
6 |
| SUGI |
1993 |
Development of an Analysis System Based on the Information System of a Social Organization |
Habibollah Bin Haran,
Mohd Yunus B. Majid,
Faridah Maaral,
Noriah B. Idris |
source |
7 |
| SUGI |
1993 |
Effective Use of the MULTTEST Procedure in Japanese Biopharmaceutical Studies for Drug Development |
Masakazu Andoh,
Tohru Uwoi |
source |
5 |
| SUGI |
1993 |
Frequency Tables Using the SAS System: What They Are and What They Could Be |
Grant Blank |
source |
4 |
| SUGI |
1993 |
Generic Applications Development Using the SAS:Macro Language |
Christian M. Forster |
source |
6 |
| SUGI |
1993 |
Identifying Sales Regions Using PROC GMAP |
Deb Cassidy |
source |
5 |
| SUGI |
1993 |
Planning, Preparing, Documenting, and Referencing SAS Products |
RoJeanne Liu,
Arthur Foreman |
source |
6 |
| SUGI |
1993 |
SAS Data Dictionary Tool Box |
Allan E. Williams,
Peter Dueber,
Lynette M. Browne |
source |
5 |
| SUGI |
1993 |
SIMSPRT: A SAS Code for Simulation of Sequential Probability Ratio Tests |
Kenny C. Gross,
Kristin K. Hoyer |
source |
6 |
| SUGI |
1993 |
Spectral Decomposition and Reconstruction of Nuclear Plant Signals |
Kristin K. Hoyer,
Kenny C. Gross |
source |
6 |
| SUGI |
1993 |
The Urge to Merge: A Computational Method for Linking Datasets With No Unique Identifier |
Joan Kessey,
Robert M. Bell,
Toni Richards |
source |
6 |
| SUGI |
1993 |
Who Should Teach, What to Teach, How to Teach: An Illustration Using the SAS Macro Facility as an Example |
Erika Mares Stone |
source |
6 |
| SESUG |
1993 |
A Massively Parallel Accelerator for the SAS System at the Census Bureau |
Jon Michael Fortier,
Douglas Burns |
|
4 |
| SESUG |
1993 |
An Introduction to the SAS Macro Facility |
Erika Mares Stone |
|
8 |
| SESUG |
1993 |
Manipulating Large Highway and Crash Datasets |
Elizabeth G. Hamilton,
Carolyn D. Williams |
|
6 |
| SESUG |
1993 |
Programming for PROC TABULATE |
Daniel Morris |
|
4 |
| SESUG |
1993 |
The Utter Simplicity of the TABULATE Procedure |
Daniel E. Bruns |
|
7 |
| SESUG |
1993 |
User-friendly Testing Analysis with SAS Software Products |
Mark L. Schneider |
|
6 |
| SESUG |
1993 |
Using SAS Statistical Procedures in Medical Research |
Joe Cholewczynski |
|
6 |
| SESUG |
1993 |
Using SAS to Analyze Survey Results |
Stacey G. Brlcka |
|
4 |
| SCSUG |
1992 |
Analyzing Mainframe Resources Using Starting and Ending Time Stamps |
Richard Banks |
|
17 |
| SCSUG |
1992 |
Analyzing Multiple Response Questions: Facilitating an Existing Method and Presenting an Alternative |
Paul E. Pope,
Darrell Fannin |
|
6 |
| SCSUG |
1992 |
Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC |
Chuan-Chuan C. Wun |
|
19 |
| SCSUG |
1992 |
Developing a SAS Based Decision Support System for Database Cleanup |
Yi-Sheng Hwang |
|
15 |
| SCSUG |
1992 |
User-friendly Testing Analysis with SAS Software Products |
Mark L. Schneider |
|
6 |
| NESUG |
1992 |
A Few FORMCHAR= Option Sets for Different Printers |
Earl R. Westerlund |
|
2 |
| NESUG |
1992 |
Getting to Know Your Data Using SAS |
Felicia Borglum |
|
7 |
| NESUG |
1992 |
Manipulating Large Highway and Crash Datasets |
Elizabeth G. Hamilton,
Carolyn Williams |
|
6 |
| NESUG |
1992 |
Mapping With SAS/GRAPH |
Christina Herman |
|
2 |
| NESUG |
1992 |
PROC FORMAT |
Jack N. Shoemaker |
|
6 |
| NESUG |
1992 |
SAS System Alternatives |
SherriJoyce King |
|
7 |
| NESUG |
1992 |
Using the PUT Functions to Recode Variables |
Ronald P. Cody |
|
2 |
| MWSUG |
1992 |
Creating Interactive User Windows Without Using SAS/AF |
Kathy Shelley |
|
5 |
| MWSUG |
1992 |
Macros for Converting PROC FREQ and PROC UNIVARIATE Output Files into ARRAY Form for Data Analysis on a Large Scale NDA Clinical Trial Database |
Hugh Geary |
|
6 |
| MWSUG |
1992 |
Using PROC TABULATE - A Review of the Basics and A Look at Using This Procedure With Multiple Response Data |
Catherine M. Cerone |
|
10 |
| MWSUG |
1992 |
Using Public-Use Microdata Samples With SAS |
Warren A. Brown,
Lisa King |
|
5 |
| MWSUG |
1992 |
Using SAS Macro Facilities to Simplify A Large Multi-Event Statistical Analysis |
Douglas P. DeYoung |
|
6 |
| SEUGI |
1992 |
Analysing Business and Economic Data with SAS/ETS Software |
Georg Morsing |
source |
9 |
| SEUGI |
1992 |
Basic Problems of Analysing Disease Data in Epidemiologic Applications |
Anette Pfahlberg |
source |
7 |
| SEUGI |
1992 |
Cluster Characterisation wit the SAS System Factorial Analysis Solves the Problem of Synthesis Data and hte Typology of Clustering Method |
Christian Derquenne |
source |
17 |
| SEUGI |
1992 |
Data Analysis and Storage Using the SAS System at JET, the Joint European Torus |
Knud Thomsen |
source |
16 |
| SEUGI |
1992 |
Experiences from Using the SAS System in a Large Consumption Simulation Study |
Timo Alanko |
source |
11 |
| SEUGI |
1992 |
Frequency Management and Scheduling at Radio Free EuropeRadio Liberty International Broadcasting with the Help of Adabas and the SAS System |
Duncan Kinchen |
source |
8 |
| SEUGI |
1992 |
Interface of the SAS System by YAFOOL |
Media Mhiri |
source |
11 |
| SEUGI |
1992 |
The SAS System and Meta Knowledge |
Herve Augendre |
source |
7 |
| SUGI |
1992 |
Analysis of Incomplete Categorical Repeated Measures |
Charles S. Davis |
source |
6 |
| SUGI |
1992 |
Analyzing Business and Economics Data with SAS/ETS Software |
Mark Little |
source |
9 |
| SUGI |
1992 |
Analyzing Multiple Response Questions: Facilitating an Existing Method and Presenting an Alternative |
Paul E. Pope,
Darrell Fannin |
source |
6 |
| SUGI |
1992 |
Assessment of Interrater Agreement for Multiple Nominal Responses among Several Raters |
Chul W. Ahn |
source |
6 |
| SUGI |
1992 |
Checking Out-of-Range Data |
Aileen L. Yam |
source |
4 |
| SUGI |
1992 |
Graphical Methods for Categorical Data |
Michael Friendly |
source |
7 |
| SUGI |
1992 |
How to Gain a Working Knowledge of the FREQ Procedure without Freaking Out |
Wendy London |
source |
8 |
| SUGI |
1992 |
How to Use the WHERE Statement |
Juliana M. Ma |
source |
5 |
| SUGI |
1992 |
Marketing Research: Uncovering Competitive Advantages |
Warren F. Kuhfeld |
source |
9 |
| SUGI |
1992 |
Ordination and Display of Multivariate Data |
E. Barry Moser |
source |
10 |
| SUGI |
1992 |
Put Presentation Graphics in Your Applications |
Anthony L. Friebel,
Jade Walker |
source |
10 |
| SUGI |
1992 |
SAS Software and the Bard: Using SAS Software Procedures to Measure One-Person Theatrical Show Preferences |
James D. Ryan,
Joseph E. Earley |
source |
6 |
| SUGI |
1992 |
Simple SAS Analyses That Add Value to Corporate Databases |
Richard Sue |
source |
4 |
| SUGI |
1992 |
The History of the SAS System at the Census Bureau |
Michael Fortier |
source |
3 |
| SUGI |
1992 |
The SQL Procedure as a Tool for Natural Language Processing |
Kurt Schmidt |
source |
6 |
| SUGI |
1992 |
The Use of Logit Analysis: Pitfalls and SAS Tips |
William Chan |
source |
3 |
| SUGI |
1992 |
Using the SAS System for Medical Data Processing and Event Analysis: An Overview |
Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt |
source |
6 |
| SUGI |
1992 |
Using the SAS System within a Strategic Information Architecture |
Tim Feetham |
source |
4 |
| SCSUG |
1991 |
Calculating the Power Function of the Wilcoxon Rank Sum Test in 2xK Tables |
Mark Von Tress |
|
7 |
| SCSUG |
1991 |
Empowering the User to Submit DB2 Reports |
Gerald Muffoletto |
|
39 |
| SCSUG |
1991 |
Evaluating Efficiency Techniques Used in the Processing of Large Data Files |
Alfred W. Ey |
|
17 |
| SCSUG |
1991 |
PROC CORRESP: Different Perspective for Nominal Analysis |
Richard W. Cole |
|
8 |
| NESUG |
1991 |
PIAF-A Real End-User Computing Environment |
Paul Proulx,
Nancy Faille |
|
6 |
| NESUG |
1991 |
Two Measures of Rating Reliability |
Peter P. Gaccione |
|
7 |
| NESUG |
1991 |
Using SAS Procedures as Data Checking Tools |
Paula B. Podolnick |
|
5 |
| NESUG |
1991 |
Using SAS Statistical Procedures in Medical Research |
Joe Cholewczynski |
|
7 |
| MWSUG |
1991 |
Effectively Using the SAS System for Survey Research |
Kim L. Kolbe |
|
5 |
| MWSUG |
1991 |
SAS Graphics & More - "Black Magic" |
David M. Wheat |
|
6 |
| SEUGI |
1991 |
Attributable Risk Estimation Using SAS/STAT Software |
Olaf Gefellar |
source |
8 |
| SEUGI |
1991 |
How to use PROC CATMOD in Estimation Problems |
Franz Woltering,
Olaf Gefellar |
source |
7 |
| SEUGI |
1991 |
Kinetic Modelling with SAS Software |
Henk Cuppers |
source |
12 |
| SEUGI |
1991 |
New SAS/QC Tools for Quality Improvement |
Reinhold Koch |
source |
10 |
| SEUGI |
1991 |
Printing your Output in a Nicely Formatted Way - The SAS System Page and all the other Pages you have to Consider |
Anders Skollermo |
source |
5 |
| SEUGI |
1991 |
Putting PROC REPORT into Practice |
Steve Morton |
source |
11 |
| SEUGI |
1991 |
Rhythm Pattern Analysis - A Simplified Approach |
Neil Atkins |
source |
7 |
| SEUGI |
1991 |
Statistical Evaluation and Forecasting of Steel Corrosion Data |
Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester |
source |
11 |
| SEUGI |
1991 |
The Role of The Andrew's Curves in Correspondence Analysis |
Joze Rovan |
source |
15 |
| SUGI |
1991 |
A Factor Analysis of Employee Attitudes about the Internal Operational and Administrative Characteristics of a City Government |
Anthony C. Waclawski |
source |
8 |
| SUGI |
1991 |
A Macro to Create a SAS Data Set Containing Commonly Reported Statistics for the Analysis of Multiple 2 x 2 Tables |
Suzanne Edwards,
John Henry King,
Gary G. Koch |
source |
4 |
| SUGI |
1991 |
A SAS Program for Choosing Random Unblocked Designs Balanced for Correlation between Neighbors |
I.J. Good,
Eric P. Smith,
David D. Morris |
source |
5 |
| SUGI |
1991 |
Analysis of Sparse Repeated Categorical Measurement Data |
Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang |
source |
9 |
| SUGI |
1991 |
Analyzing a Survey: A Bunch of Tips for a Mess of Questions |
William G. LeBlanc |
source |
4 |
| SUGI |
1991 |
Automated Generation of Statistical Tables: Integration of Structured Programming and SAS Macros |
Lee-Hwa Jane,
Maureen McCormick |
source |
5 |
| SUGI |
1991 |
Creating Dot Diagrams |
Karen G. Malley |
source |
4 |
| SUGI |
1991 |
Evaluating the Probability Distribution of the Sum of Independent Finite Integer-Valued Random Variables |
Daniel R. Jeske,
Thomas M. Willis,
Ying C. So |
source |
6 |
| SUGI |
1991 |
Evolution and Anatomy of an In-House, PC-Oriented SAS User Group |
Richard P. Neafus Jr |
source |
2 |
| SUGI |
1991 |
Multiple Engine Architecture: A Comparison of Database Management Systems Using the SAS/ACCESS Interface |
Alma Zuniga |
source |
10 |
| SUGI |
1991 |
PIAF-A Real End-User Computing Environment |
Paul Proulx,
Nancy Faille |
source |
6 |
| SUGI |
1991 |
Problems with Missing Values? Use the SAS System to Generate Replacement Data |
Daniel R. Bretheim |
source |
5 |
| SUGI |
1991 |
Psychometric Applications with Optical Scanning and Analysis |
W. J. Klein,
Gordon Emslie |
source |
5 |
| SUGI |
1991 |
SAS Applications at the Frankfurt University Hospital |
Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt |
source |
5 |
| SUGI |
1991 |
SAS Report Writing in an HMO Claims Database Environment for Utilization Review |
Lynn M. Thome,
David Olagunju |
source |
6 |
| SUGI |
1991 |
Techniques for Assessing Differential Item Performance on Achievement Tests |
Delwyn L. Harnisch |
source |
6 |
| SUGI |
1991 |
The REPORT Procedure: Common Questions and Problems |
Lynn Hannah Patrick |
source |
5 |
| SUGI |
1991 |
The SAS System - A Full-Featured Utility and Language for Programmers |
Steven J. First |
source |
|
| SUGI |
1991 |
The Utter Simplicity of PROC TABULATE |
Daniel E. Bruns |
source |
7 |
| SUGI |
1991 |
Using Advanced Annotate Functions to Display Wind Distributions |
Ronald Coleman |
source |
2 |
| SUGI |
1991 |
Using SAS/GRAPH Software to Produce High-Resolution Color Images for Publication |
Craig Sampson,
Woody Middleton |
source |
3 |
| SUGI |
1991 |
Workload Characterization Algorithms for DASD Subsystems |
H. Pat Artis |
source |
5 |
| NESUG |
1990 |
An Introduction to SAS/GRAPH Software For New or Nervous Users |
Neil H. Howard |
|
8 |
| NESUG |
1990 |
Exact Nonparametric Inference: Theory, Applciations and Software |
Cyrus R. Mehta |
|
16 |
| NESUG |
1990 |
SAS Software Performance In the Personal Computer Environment |
Donald R. Deese,
John D. Ebner |
|
9 |
| NESUG |
1990 |
The Many Faces of Format |
Igor Choodonovskiy |
|
4 |
| MWSUG |
1990 |
A Demonstration of the Utility of SAS in Creating Examples to Aid in the Teaching of Statistical Concepts |
Earnest Davenport |
|
9 |
| MWSUG |
1990 |
The SAS System - A Full-Featured Utility and Language for Programmers |
Steven J. First |
|
12 |
| SEUGI |
1990 |
CICS CPE Using MXG Software |
Brian Cobb |
source |
12 |
| SEUGI |
1990 |
Stratified Random Sampling from Finite Distribution for Continous Variables |
Karl Bousek |
source |
13 |
| SEUGI |
1990 |
Who Does Not Like a Bar (A View in a Bar Chart Toolbox) |
Marc de Vries |
source |
19 |
| SUGI |
1990 |
A SAS Macro for the Box-Cox Transformation: Estimation and Testing |
Charles B. Hallahan |
source |
6 |
| SUGI |
1990 |
Aids in Data Checking |
William G. LeBlanc |
source |
5 |
| SUGI |
1990 |
An Introduction to SAS/GRAPH Software For New or Nervous Users |
Neil H. Howard |
source |
8 |
| SUGI |
1990 |
Data Reduction and Summary Statistics in the DATA and PROCEDURE Steps Efficiency Considerations |
Michael C. Hein,
Judith H. Mopsik |
source |
8 |
| SUGI |
1990 |
Formatted Tables: SAS Macro Programs |
Will A. Sullivan,
Sharon M. Haney,
Harvie Chang,
Gary Stephens |
source |
6 |
| SUGI |
1990 |
Interactive Random Sampling |
Ashok Mehta,
Paul H. Bern |
source |
3 |
| SUGI |
1990 |
Introducing New Computer Users to Release 6.06 of the SAS System |
Beverly Wells,
Jean Ussery |
source |
4 |
| SUGI |
1990 |
IUPUI Test Scoring System - Using the SAS System and REXX under CMS and MVS |
Dave Rutherford,
Shu-Yeng Wong |
source |
6 |
| SUGI |
1990 |
Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data |
Peter Kretzman |
source |
8 |
| SUGI |
1990 |
Overview of SAS/GRAPH Procedures and Facilities |
Vincent P. Tillman |
source |
6 |
| SUGI |
1990 |
Reproduction of Ambulance Runs of the Chicago Fire Department |
John Barry |
source |
3 |
| SUGI |
1990 |
The SAS System - A Full-Featured Utility and Language for Programmers |
Steven J. First |
source |
10 |
| SUGI |
1990 |
Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association |
Richard F. Haase |
source |
6 |
| SUGI |
1990 |
Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses |
Daniel R. Bretheim |
source |
8 |
| NESUG |
1989 |
Efficient Processing of Large Datasets |
Howard Levine |
|
10 |
| NESUG |
1989 |
Say it With Picturesd -- Getting Started with SAS/GRAPH |
Neil H. Howard |
|
4 |
| SEUGI |
1989 |
A Format Changes Everything |
Aad J. van Strien,
Marc de Vries |
source |
10 |
| SEUGI |
1989 |
An Introduction To Statistical Quality Control Using The SAS System |
Randy Topp,
Tasha Kostantacos |
source |
4 |
| SEUGI |
1989 |
Analysing Multiple Response Data Using PROC TABULATE |
Jan Bakker |
source |
6 |
| SEUGI |
1989 |
HyTAO - An Expert System For Statistical Data Processing |
Markku Korhonen |
source |
13 |
| SEUGI |
1989 |
KORRES - A Program For Multivariate Analysis Of Categorical Data From Contingency Tables |
Harald Rohling,
Jorg Blasius |
source |
20 |
| SEUGI |
1989 |
PRIMSTAT, A Menu-Driven System For Information Retrieval Using SAS/AF Software |
Esbjorn Lindhoff |
source |
19 |
| SUGI |
1989 |
A Macro to Separate Records into Output Data Sets by Date and Create Data Set Names with Date as a Part |
Michael J. Schilling |
source |
6 |
| SUGI |
1989 |
A Precursor of Survey Processing in the SAS System at the Census Bureau |
Robert S. Lohr |
source |
3 |
| SUGI |
1989 |
A Procedure for the Analysis of Multivariate Binomial Data with Adjustments for Multiplicity |
Youling Lin,
Peter H. Westfall,
S. Stanley Young |
source |
8 |
| SUGI |
1989 |
A SAS Matrix Software Macro for Testing the Random Effects in Random Models with Unequal Cell Frequencies in the Last Stage |
Jose Gallo,
Andre I. Khuri,
Richard MacElderry |
source |
6 |
| SUGI |
1989 |
Analyzing Multiple Response Data Using the TABULATE Procedure |
Tina Keene |
source |
6 |
| SUGI |
1989 |
Illustrating Base SAS SAS/FSP;, and SAS/GRAPH Software in Epidemiologic Investigations |
Dennis Deapen,
Flora Fung,
Janice Schaefer |
source |
6 |
| SUGI |
1989 |
It's 11 p.m. Do You Know What Your SAS Users Are Doing Tonight? |
June R. Genis |
source |
11 |
| SUGI |
1989 |
Modeling Policy Impact |
Daniel R. Bretheim |
source |
5 |
| SUGI |
1989 |
P-Value Adjustments for Multiple Tests in Multivariate Binomial Models |
Peter H. Westfall,
S. Stanley Young |
source |
4 |
| SUGI |
1989 |
Pleasing the Picky Manager with the TABULATE. Procedure |
Stephen A. Harper |
source |
6 |
| SUGI |
1989 |
Processing and Analyzing Consumer Panel Data |
Charles F. Hofacker |
source |
4 |
| SUGI |
1989 |
Putting the FORMAT Procedure at the Wheel: Advanced Applications of Table Lookup |
Peter Kretzman |
source |
8 |
| SUGI |
1989 |
SAS/ASSIST' Software: Bringing the Power of the SAS System to the User |
Brenda Erickson,
Tammy L. Gagliano,
Gail Kramer,
Katherine J. Roggenkamp |
source |
6 |
| SUGI |
1989 |
SAS/ETS Software: A Report on the New. Features in Release 6.03 and Other Work in Progress |
Mark Little |
source |
4 |
| SUGI |
1989 |
The Statistical-Model Toolbox: A SAS Macro System |
David S. Frankel |
source |
6 |
| SUGI |
1989 |
Using the TRANSPOSE Procedure to Effectively Present Survey Results |
Karen Montefiori,
Emily M. Passino |
source |
6 |
| SEUGI |
1988 |
Automatic Analysis of Clinical Trials |
J. C. Peyrieux |
source |
6 |
| SEUGI |
1988 |
New Developments in Psychometric and Market Research Procedures |
Gerhard Held |
source |
5 |
| SEUGI |
1988 |
SAS/GRAPH Software and Spatial Analysis |
Danilo Bofigli |
source |
13 |
| SEUGI |
1988 |
Using the TABULATE Procedure |
Bernie Ruane |
source |
5 |
| SUGI |
1988 |
A DataEase' to SAS Interface |
Frank E. Harrell Jr.,
Lawrence H. Muhlbaier |
source |
5 |
| SUGI |
1988 |
A Statistical Analysis of the Zip+4 Data Base |
Peter Weiss |
source |
6 |
| SUGI |
1988 |
An Imputation System for a Large-Scale Survey |
Eugene M. Burns,
Doug Valcour |
source |
6 |
| SUGI |
1988 |
An Instrument for Evaluating the Quality of the Statistical Consulting Experience |
David A. Ludwig,
Judith M. Penny,
James A. Penny |
source |
6 |
| SUGI |
1988 |
Analyzing for Independence of Sequential Events with Markov Chain Models with the SAS System for Personal Computers |
Paul F. Steblein |
source |
5 |
| SUGI |
1988 |
Demystifying the FORMAT Procedure |
Hallett German |
source |
9 |
| SUGI |
1988 |
Designing a Drug Information System for the FDA Based on the SAS System |
Nancy Bauer |
source |
6 |
| SUGI |
1988 |
Estimation of Row and Column Scores in the Linear-by-Linear Model for Two-Way Ordinal Contingency Tables |
Charles S. Davis |
source |
6 |
| SUGI |
1988 |
Exact and Monte Carlo Methods for Computing Non-Parametric Significance Tests |
Cyrus R. Mehta,
Nitin R. Patel,
Pralay Senchaudhuri |
source |
6 |
| SUGI |
1988 |
Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS System |
James F. Sattler |
source |
4 |
| SUGI |
1988 |
Logit Models for Ordered Categorical Response Data |
Alan Agresti |
source |
9 |
| SUGI |
1988 |
New Developments in Pyschometric and Market Research Procedures |
Warren F. Kuhfeld,
Forrest W. Young |
source |
5 |
| SUGI |
1988 |
Plotting beyond Defaults |
Chris Potter |
source |
9 |
| SUGI |
1988 |
Portability of Large SAS Code across OS Batch, CMS, VMS, and the SAS System for Personal Computers .. |
Larry McEvoy |
source |
6 |
| SUGI |
1988 |
Processing and Analyzing Supermarket Scanner Data |
Charles F. Hofacker |
source |
6 |
| SUGI |
1988 |
Processing Large Files: The SUMMARY Procedure and Other Efficiency Tips |
Juliana M. Ma |
source |
9 |
| SUGI |
1988 |
Spatial Pattern Analysis |
John M. LaBore |
source |
6 |
| SUGI |
1988 |
Statistics for Ordered Categorical Data |
Thomas O'Gorman,
Robert F. Woolson |
source |
7 |
| SUGI |
1988 |
The SAS Macro Facility |
Maria Nicholson,
Bob Pulgino |
source |
7 |
| SUGI |
1988 |
Time-Series Investigation of Anomalous Thermocouple Responses in a Liquid-Metal-Cooled Reactor |
Kenny C. Gross,
H. Pete Planchon,
J. Poloncsik |
source |
4 |
| SUGI |
1988 |
Type I Error Rate for Small Sample Sizes Using Various Options of the CATMOD Procedure |
J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny |
source |
4 |
| SUGI |
1988 |
Use of the SAS System in an Undergraduate Course on Statistical Packages at the University of Central Florida |
Thian S. Kheoh,
Dale F. Kraemer,
Julie Wildman-Pepe |
source |
3 |
| SUGI |
1988 |
Using the SAS System for Analysis of Dissertation Data |
Twila Faye Turpen |
source |
6 |
| SUGI |
1988 |
Using the TABULATE Procedure |
Holly Whittle |
source |
5 |
| SUGI |
1988 |
Utilizing SAS Software to Generate Command Language Programs: Using CA-TELLAGRAF as an Example |
Sue Huang |
source |
5 |
| SEUGI |
1987 |
Combining SAS Software and SYSTEM 2000 DMS in the DP Shop |
Catherine Lavery |
source |
6 |
| SEUGI |
1987 |
Effective Use of SAS Software In a Large-Scale Sample Survey |
Risto Lehtonen |
source |
15 |
| SEUGI |
1987 |
Efficiency and Performance Considerations for the SAS System under PC DOS |
Gordon W. Davis,
Scott S. Sweetland |
source |
9 |
| SEUGI |
1987 |
New CBT Features in SAS/AF Software for the PC |
Georg Morsing |
source |
5 |
| SEUGI |
1987 |
Rocheford Research on Creating a Human Environment for On-Line Research Tools |
L.K. J. van Romunde |
source |
15 |
| SUGI |
1987 |
A Systematic Response to Customer Complaints using PROC FSEDIT, PROC FSLETTER, and PROC GCHART |
Gwen Bush |
source |
6 |
| SUGI |
1987 |
Building a Clinical Data Review System Using SAS/AF Software |
James F. Sattler |
source |
7 |
| SUGI |
1987 |
Combining SAS Software and SYSTEM 2000 Data Management Software |
Mike Senger |
source |
6 |
| SUGI |
1987 |
Decision Support Systems using SAS Software and ISPF (or How ISPF Tables Can Enhance Your SAS Software Life) |
Christine Hendrick,
David Howe,
Walter Mercier |
source |
6 |
| SUGI |
1987 |
Efficiency and Performance Considerations for the SAS System under PC DOS |
Gordon W. Davis,
Scott C. Sweetland |
source |
9 |
| SUGI |
1987 |
Estimation of Variance Components in Mixed Factorial Models Including Model-based Diagnostics |
Ronald H. Bremer,
John W. Green,
Ronald R. Hocking |
source |
6 |
| SUGI |
1987 |
Generating Kappa Statistics and Testing Useful Hypotheses with PROC CATMOD |
Robert A. Terry |
source |
5 |
| SUGI |
1987 |
Getting the Most from PROC TABULATE |
Andrew A. Norton |
source |
10 |
| SUGI |
1987 |
Graphical Presentation of Product Pricing |
Vicki G. Morwitz,
Theodore F. Rose |
source |
3 |
| SUGI |
1987 |
How to Use SAS Software Effectively on Large Files |
Juliana M. Ma |
source |
9 |
| SUGI |
1987 |
Monitoring Corporate Plan Implementation with the SAS System |
Kathleen D. Crook,
Mark F. Jackman |
source |
3 |
| SUGI |
1987 |
Processing Large Data Sets into Customized Tables |
Tamara R. Fischell,
Elizabeth G. Hamilton |
source |
6 |
| SUGI |
1987 |
Understanding the SAS Macro Facility |
Martin J. Rosenberg |
source |
6 |
| SUGI |
1987 |
Using Formats to Enhance the Appearance of Your Reports |
Stephen R. Schulz |
source |
7 |
| SUGI |
1987 |
Using SAS Software Graphical Procedures for the Observer Agreement Chart |
Shrikant I. Bangdiwala,
Hope E. Bryan |
source |
6 |
| 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 |
| SEUGI |
1986 |
The SAS System as a Tool for the Financial Systems Auditor |
Jost Dorken |
source |
20 |
| SUGI |
1986 |
A Simplistic Approach to Tabulating and Summarizing Clinical Laboratory Data |
Carol A. Bogardus,
Les Pennelly |
source |
3 |
| SUGI |
1986 |
Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures |
Mary Lynn Spada |
source |
4 |
| SUGI |
1986 |
Maximum Likelihood Estimation for a Mixture of Larval Instars |
Richard L. Berg |
source |
5 |
| SUGI |
1986 |
PERSONYRS: A SAS Procedure for Person Year Analyses |
Glenn A. Augustine,
Erik J. Bergstralh,
Jon L. Kosanke,
Kenneth P. Offord |
source |
6 |
| SUGI |
1986 |
PROC COMPUTAB Macros for Survey Processing Applications |
Thomas E. Billings |
source |
5 |
| SUGI |
1986 |
The SAS System as a Tool for the Financial Systems Auditor |
Ferrell Drewry |
source |
20 |
| SUGI |
1986 |
Using SAS Software to Provide Descriptive Statistics and Customized Report Writing for a Materials Management Function |
Bruce W. Eagle |
source |
7 |
| SUGI |
1986 |
Using the SAS System to Perform Power Analyses for Log-Linear Models |
Ralph G. O'Brien |
source |
7 |
| SUGI |
1986 |
Utilizing Macro XMEDAGE to Obtain an Interpolated Median Age |
Frances N. Bari |
source |
6 |
| SUGI |
1986 |
What SAS Software Does and Doesn't Do: Things Your Mother Never Told You |
Calvin D. Croy |
source |
4 |
| SEUGI |
1985 |
A Help for End-Users SAS Software for Analysis of Surveys |
Gerard Hatabian |
source |
10 |
| SEUGI |
1985 |
Regression Analysis and other SAS Procedures for Assessing Credit Risk |
Raxa Vaid |
source |
10 |
| SEUGI |
1985 |
Statistical Enahancements to the SAS System |
Gerhard Held |
source |
20 |
| SEUGI |
1985 |
Using SAS/GRAPH Software to Analyse IDMS |
Peter Bailey |
source |
13 |
| SUGI |
1985 |
A Laser Printer Can Enhance the Appearance of SAS Procedures |
David J. O'Sullivan |
source |
6 |
| SUGI |
1985 |
A Monte Carlo Comparison of Extended Mantel-Haenszel Procedures |
Daniel W. Griffin |
source |
6 |
| SUGI |
1985 |
A Quality Assurance System for Manufacturing Applications using Base SAS Software on a Minicomputer |
Sandra Heard,
Judith H. Mopsik |
source |
8 |
| SUGI |
1985 |
An Application of PROC FUNCAT to Randomized Response Data |
Martin J. Rosenberg |
source |
6 |
| SUGI |
1985 |
Analyzing Tables with Ordered Categories |
Ginger Caldwell,
John D. Smith |
source |
6 |
| SUGI |
1985 |
Descriptive Statistics: Using Indicator Variables |
Tamara R. Fischell,
Juliana M. Ma |
source |
5 |
| SUGI |
1985 |
Fitting Log-linear Models Using SAS Software |
Amy Ko,
W. J. Shih |
source |
5 |
| SUGI |
1985 |
Macros for Paired Categorical or Continuous Scale Data Analysis |
Thomas E. Bradstreet |
source |
8 |
| SUGI |
1985 |
Performance Analysis of Superheater Data from an Operating Nuclear Reactor |
Kenny C. Gross,
B.R. Seidel |
source |
6 |
| SUGI |
1985 |
Predicting Arkansas Tornadoes with SAS/GRAPH Software |
Craig A. Brown,
Daniel W. Puckett,
Ken Schriner,
Richard M. Smith |
source |
4 |
| SUGI |
1985 |
SAS Software and the Chi-square: Collapsing Cells with Less Than Five Expected Observations |
Elizabeth Zobre |
source |
5 |
| SUGI |
1985 |
SAS Software for Stratified Analysis |
William M. Stanish |
source |
6 |
| SUGI |
1985 |
Sharing Application Development Between I/Sand the SAS User |
Al C. Ketchum,
Diane P. Moshier,
Gordon W. Slater |
source |
4 |
| SUGI |
1985 |
The Practical Value of Logistic Regression |
Frank E. Harrell Jr.,
Kerry L. Lee |
source |
6 |
| SUGI |
1985 |
The SAS Biostatistical Workbook: Bridging the Gaps Between Statistical Methods, Statistical Applications, and Statistical Computing |
David A. Ludwig |
source |
6 |
| SUGI |
1985 |
Using the SAS Macro Facility to Tabulate Counts and Percents for Individual Variable Values |
Thomas J. Higgins,
Rich Potter |
source |
6 |
| SEUGI |
1984 |
Effective Use of SAS |
Mogens Weinreich |
source |
11 |
| SEUGI |
1984 |
Macro and Principal Component Analysis |
Gerard Hatabian |
source |
34 |
| SEUGI |
1984 |
New Statistical Features in SAS |
Gerhard Held |
source |
13 |
| SEUGI |
1984 |
Report-Quality Tables with SAS |
E. Placa,
G. Stein,
P. Smith |
source |
11 |
| SEUGI |
1984 |
Simulating Magazine Subscriptions with SAS |
Aale Roos |
source |
4 |
| SEUGI |
1984 |
SYSPAD French Methods of Data Analysis |
Bernard Piot,
J. M. Bouroche,
Stephane Corre |
source |
7 |
| SUGI |
1984 |
A General Woolf-Haldane/Mantel-Haenszel Procedure for Dichotomous or Polychotomous Exposure Variables and for Any Number of Stratification/Control Variables |
Philip N. Gallagher Jr.,
William M. Haenszel |
source |
3 |
| SUGI |
1984 |
A SAS Program for Correspondence Analysis Using PROC MATRIX |
Bernard Clement,
Daniel Levesque |
source |
6 |
| SUGI |
1984 |
Developing A Computer Cost Distribution Method Using the MICS Data Base |
Anne N. Bluth,
Jean L. Waits |
source |
6 |
| SUGI |
1984 |
Graphical Analysis for Telecommunications Engineers |
Douglas Sherman |
source |
6 |
| SUGI |
1984 |
Modeling Congenital Cardiac Surgical Caseload Using the SAS/ETS Product.. |
Steven P. Davis,
Ronald C. Elkins,
Mary M. Lane,
Cynthia K. Murray |
source |
6 |
| SUGI |
1984 |
PROC QRPT: Procedure for the Estimation of ED50, Relative Potency and Their Fiducial Limits in Quantal Response Assays |
Nguyen V. Dat,
Ronald G. Fleming,
Sue Huang |
source |
4 |
| SUGI |
1984 |
Quality Control Through Random Error Generation |
William M. Taylor |
source |
4 |
| SUGI |
1984 |
Starting a Local SAS Users Group: Some Issues and Guidelines |
Jim C. Knoop |
source |
7 |
| SUGI |
1984 |
The SAS System Can Replace Traditional Programming Languages |
Judith H. Mopsik |
source |
6 |
| SUGI |
1984 |
The Use of CATMOD for Repeated Measurement Analysis of Categorical Data |
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1984 |
Use of SAS Software to Process and Analyze Animal Skin Tumor Response Data from a Data Acquisition System |
R. Dana Laurie,
Judy A. Stober,
Freda Truman,
Thomas Wessendarp |
source |
6 |
| SUGI |
1984 |
Using SAS Software for Generalized System Testing and Verification |
Claude Briggs,
Katie A. Hubbell |
source |
4 |
| SEUGI |
1983 |
Social Science Research and Statistical Packages |
Mogens Weinreich |
|
18 |
| SUGI |
1983 |
A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing |
Gary G. Koch,
Maura E. Stokes |
source |
6 |
| SUGI |
1983 |
A Multi-Evaluative Approach to the Analysis of Clinical Laboratory Data |
William A.T. Archambault Jr.,
James J. Tiede |
source |
6 |
| SUGI |
1983 |
A SAS Program for the Extended Mantel-Haenszel Procedure |
Alan C. Fisher,
Daniel M. Wildman |
source |
6 |
| SUGI |
1983 |
A SAS Testscoring and Item Analysis Program |
Charles E. Rich |
source |
6 |
| SUGI |
1983 |
Adverse Reaction Incidence Tables for Clinical Trials |
Donna R. Park,
Stephen J. Ruberg |
source |
5 |
| SUGI |
1983 |
An Analysis of Time-Series Data with Autocorrelated Errors .. |
Mary S. Hirsch,
E. Moye Rutledge |
source |
3 |
| SUGI |
1983 |
Automatic SAS Generation of Documentation for a Large Public-Use SAS Data Base |
Judith L. Cohen |
source |
6 |
| SUGI |
1983 |
Data Reduction and Summarization |
Joshua Sharlin |
source |
8 |
| SUGI |
1983 |
Discrepancy Analysis: Using SAS to Monitor Program Participation |
Richard J. Williford |
source |
5 |
| SUGI |
1983 |
Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation |
Margaret J. Martin,
William A. Powers |
source |
|
| SUGI |
1983 |
MULPOOLS: Analysis of Personnel Practices in Employment Discrimination Lawsuits |
Jon Chalfant-Walker,
Timothy Wyant |
source |
|
| SUGI |
1983 |
Overview of Categorical Data Analysis Methods |
Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1983 |
Power Comparison of the Weighted Squares of Means Method (Type III) and the Method of Fitting Constants (Type 11) in Unbalanced ANOVA |
Ramon C. Littell,
Richard O. Lynch |
source |
8 |
| SUGI |
1983 |
PROC DISCRETE-A Procedure for Fitting Discrete Probability Distributions |
Charles E. Gates,
James P. Geaghan,
George D. Williams |
source |
4 |
| SUGI |
1983 |
Testing Fourier Terms in Periodic Regressions |
John Jay Hilfiger |
source |
4 |
| SUGI |
1983 |
Using SAS to Compute Standardized Rates by the Direct Method |
Mary Anne Armstrong |
source |
6 |
| SUGI |
1982 |
"The Top Ten ": Frequently Encountered Errors of Beginning SAS Programmers |
Debby Vivari |
source |
3 |
| SUGI |
1982 |
Biplotsin SAS |
Michael C. Tsianco |
source |
|
| SUGI |
1982 |
Comparison of Procedures for Exploratory Data Analysis |
Randall S. Miller |
source |
5 |
| SUGI |
1982 |
Computer Graphics in Selection of Screening Strategies |
John K. Gohagan,
Edward L. Spitznagel |
source |
4 |
| SUGI |
1982 |
Effective Applications of SAS Procedures to Facilitate Transportation Planning |
Howard McKamey,
Robert E. Stammer Jr. |
source |
5 |
| SUGI |
1982 |
How to Avoid Typing and Proofreading PROC FREQ Tables |
Vicki L. Cline,
Carlos M. Puig |
source |
6 |
| SUGI |
1982 |
Macros for Matching Analysis |
William M. Taylor |
source |
3 |
| SUGI |
1982 |
Paired Comparison Estimation and Analysis: A SAS Macro |
Ramon C. Littell,
Walter W. Offen |
source |
5 |
| SUGI |
1982 |
Pesticides and SAS: Data Processing for EPA Monitoring Networks |
Dennis W. Herrin,
David C. Moazed,
David L. Myers,
Jeanne R. Pagano,
Deborah H. Whitehorne |
source |
6 |
| SUGI |
1982 |
PROC PARCAT: A Procedure for Testing Average Partial Association |
Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz |
source |
6 |
| SUGI |
1982 |
Repeated Measures Analysis for Program Evaluation |
Garrett K. Mandeville |
source |
|
| SUGI |
1982 |
SD/SDM, a System Design and StatidDynamic Modeling Tool Set |
Armen Gabrielian |
source |
6 |
| SUGI |
1982 |
Simple Graphics |
Cynthia Deitz |
source |
7 |
| SUGI |
1982 |
Table Lookup Techniques |
Donald J. Henderson |
source |
7 |
| SUGI |
1982 |
Techniques for Interrelating and Reducing Data Bases Using SAS |
Robert U. Anderson,
James W. Davis,
Steven Flint |
source |
|
| SUGI |
1982 |
The Application of Risk Analysis to Marketing Information Support Systems |
William R. Gjertsen |
source |
|
| SUGI |
1982 |
Transposing Data |
Donald J. Henderson |
source |
7 |
| SUGI |
1982 |
Using SAS and FORTRAN to Produce Mantel-Haenszel Statistics |
Caroline A. Macera,
Deborah A. Truesdale |
source |
4 |
| SUGI |
1982 |
Variable Selection for Categorical Data Using SAS |
Erik J. Bergstralh,
Susan McGorray |
source |
6 |
| SUGI |
1982 |
What is Cognitive Complexity? Alternative Scoring Procedures for the Modified Rep Test |
Tom Trabin,
Phillip K. Wood |
source |
6 |
| SUGI |
1981 |
A SAS Job Stream Generator |
M. L. Wray,
M.S. Hansard |
source |
4 |
| SUGI |
1981 |
A SAS Routine for Modifying the Output of PROC CHART to Meet Special Report Requirements |
William M. Taylor |
source |
4 |
| SUGI |
1981 |
Community Information Indices |
Michael P. Farrell,
C. Pennington,
H. Polovino,
Rodney H. Strand |
source |
|
| SUGI |
1981 |
Estimation of Fixed Effects in Mixed Models with Unbalanced Data |
Walter R. Harvey |
source |
7 |
| SUGI |
1981 |
Similarity Measures: SAS Macros for Calculating Rank Correlations and Jackknife Estimates of NESS Indices |
Pauline L. McCreight,
John M. Rinehart |
source |
|
| SUGI |
1981 |
Simulation of Population Genetics Models with SAS |
Edward L. Spitznagel |
source |
2 |
| SUGI |
1981 |
Two-way Analysis of Variance in Computer Statistical Packages: A Comparison of SPSS, BMDP, and RUMMAGE to SAS GLM |
David W. Garton,
Kenneth L. Koonce |
source |
6 |
| SUGI |
1980 |
A Macro for Multivariate Randomization Analyses of Stratified Sample Data |
Ingrid A. Amara,
Gary G. Koch |
source |
11 |
| SUGI |
1980 |
Frequency Distributions of Randomly Arranged Values in a SAS Data Set with over a Million Observations |
Robert L. Clements,
Richard A. Fleenor |
source |
7 |
| SUGI |
1980 |
Guttman Scale Analysis |
David C. Blouin |
source |
4 |
| SUGI |
1980 |
Implementation of an Automated Survey Control System Using SAS |
Morse F. Kalt |
source |
5 |
| SUGI |
1980 |
Least Squares Means in the Fixed Effect Analysis of Variance |
Kenneth L. Koonce,
F. Michael Speed |
source |
|
| SUGI |
1980 |
Measuring CPU Power via Hardware Monitor |
Terry L. Flynn |
source |
3 |
| SUGI |
1980 |
PROC ITEM - An Item Analysis Procedure |
Cynthia Deitz,
David A. Smith |
source |
5 |
| SUGI |
1980 |
Quality Assurance Controls in Research Data Base Management: Nonsense Codes in Hierarchical File Structures |
Steven P. Cobb,
Karen L. Daniels,
Michael P. Farrell,
A. Dale Magoun,
C. H. Pennington,
Harold Schramm,
Rodney H. Strand |
source |
5 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
Scientific Data Management and Analysis |
Steve Dassin,
John J. Frey,
George F. Griffin,
John McKenna |
source |
|
| SUGI |
1980 |
SHAPE: An Interactive Graphics SAS Procedure for Fitting Histograms |
Robert N. Rodriguez |
source |
6 |
| SUGI |
1980 |
Using Traffic Accident Reports for Improving Emergency Medical Services Resource Allocation |
Paul D. Krause |
source |
6 |
| SUGI |
1979 |
Cost Accounting an RJE Station with SAS |
Rodney H. Strand |
source |
5 |
| SUGI |
1979 |
Estimating Passenger Demands from Truncated Samples |
Franklin S. Young |
source |
5 |
| SUGI |
1979 |
On-line System Report Generator |
Susan E. Bengtson,
Byron C. Lewis,
Richard Nelson |
source |
3 |
| SUGI |
1979 |
SAS Used for Data Management and Mathematical Analysis of a Flow Microflourometry Histograms |
Warren Curry,
William Ingram III,
Dennis C. Lezotte |
source |
5 |
| SUGI |
1979 |
The Preparation and Publication of a Toxic Effects Document Using SAS and COM |
R. M. Anderson,
R. M. Cushman,
S. G. Hildebrand,
Rodney H. Strand |
source |
|
| SUGI |
1978 |
Adherence Monitoring at the Clinic Level |
Lynn B. Eggering |
source |
5 |
| SUGI |
1978 |
Data Base and Analysis of Power Plant Cooling Systems |
Sharon A. Bucci |
source |
5 |
| SUGI |
1978 |
History, Problems and Practical Applications of SAS in a Large Industrial Organization |
Maxine B. Potter |
source |
4 |
| SUGI |
1978 |
Improving SAS PROCS without Rewriting SAS |
Nat H. Wooding Jr. |
source |
7 |
| SUGI |
1978 |
KRUWALC, A Macro for Categorical Data |
Donald J. Henderson |
source |
5 |
| SUGI |
1978 |
Multivariate Prediction of Neonatal Mortality with Emphasis on Health Care Inputs |
Merwyn R. Greenlick,
Jonathan D. Quick |
source |
6 |
| SUGI |
1978 |
SAS's Vital Role in a Statewide Fuel Conversion and Energy Conservation Study |
E. N. Caldwell |
source |
5 |
| SUGI |
1978 |
The 1978 Interface Between SAS and BMDP and Some BMDP Features of Interest to SAS Users |
James W. Frane |
source |
4 |
| SUGI |
1978 |
Use of SAS at Oklahoma State University During the Fall Semester 1977 |
Robert D. Morrison |
source |
5 |
| SUGI |
1978 |
Using SAS to Tune MVS |
H. W. Barry Merrill |
source |
24 |
| SUGI |
1977 |
Histogram Creation with SAS Program Statements |
Rodney H. Strand,
M. L. Tharp |
source |
2 |
| SUGI |
1977 |
SAS as Programming Tool and Central Data Interface with Other Statistical Software |
Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog |
source |
|
| SUGI |
1977 |
The Use of SAS in Teaching Advanced Statistical Methods |
Nancy L. Elliott,
William A. Fowers |
source |
3 |
| SUGI.ONE |
1976 |
A Comparison of BMD, SAS and SPSS |
T. Papaioannou,
G.P.H. Styan,
L.L. Ward |
source |
21 |
| SUGI.ONE |
1976 |
The Relationship of SAS to Other Packages |
J. Philip Miller |
source |
8 |
| SUGI.ONE |
1976 |
Use of SAS in Teaching a First Course in Statistics |
Edward L. Spitznagel |
source |
5 |
| SUGI.ONE |
1976 |
Use of the Harvey Procedure |
Walter R. Harvey |
source |
3 |
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