WUSS 2014 Papers Archive

%ICD: Using Hash Objects to Separate Records Coded in ICD-9-CM from Records Coded in ICD-10-CM

Eduard Poltavskiy, UC Davis

Source category: Data Presentation & Reporting

A Hitchhiker’s guide for performance assessment & benchmarking SAS applications

Viraj R. Kumbhakarna, JP Morgan Chase & Co

Source category: Data Management

A Practical Approach to Process Improvement Using Parallel Processing

Viraj R. Kumbhakarna, JP Morgan Chase & Co

Source category: Data Management

A SAS Macro to Produce Summary Statistics Tables Allowing Additional Stratification

Amanda Liu, Cerus Corporation; David E. Tappe, Cerus Corporation

Source category: Quick Tips

A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS

Christopher Yim, California Polytechnic State Univeristy – San Luis Obispo

Source category: Analytics & Statistics

A Survey of Some Useful SAS Functions

Ron Cody

Source category: Beyond the Basics

Author collections: Ron Cody

Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes

Viraj R. Kumbhakarna, JP Morgan Chase & Co

Source category: Data Management

Alert when one is not Alert: SAS Call Sound Function

Amarnath Vijayarangan, Genpact, India; Palanisamy Mohan, Cognizant Technology Solutions; Vamse Goutam, Genpact

Source category: Quick Tips

An Introduction to SAS Hash Programming Techniques

Kirk Paul Lafler, Software Intelligence Corporation

Source category: Beyond the Basics

Analyzing Phased Interventions with Segmented Regression and Stepped Wedge Designs

Eric C. Wong, Palo Alto Medical Foundation Research Institute; Po-Han Chen, Palo Alto Medical Foundation Research Institute; Dorothy Hung, Palo Alto Medical Foundation Research Institute

Source category: Analytics & Statistics

Are You a Control Freak? Control Your Programs – Don’t Let Them Control You!

Mary F. O. Rosenbloom, Edwards Lifesciences LLC; Arthur L. Carpenter, CA Occidental Consultants

Source category: Hands-On Workshops

Automate & Shrink SAS programs using DO loops & Macros!

Arun Akkinapalli, eBay Inc

Source category: Data Management

Automated Log Analyzer Dashboard

Amarnath Vijayarangan, Genpact, India; Palanisamy Mohan, Cognizant Technology Solutions

Source category: Data Presentation & Reporting

Automation of Appending Reports: A Sexy New Look

Bill Coar, Axio Research

Source category: Applications Development

Best Practices: Subset Without Getting Upset

Mary F. O. Rosenbloom, Edwards Lifesciences LLC; Kirk Paul Lafler, Software Intelligence Corporation

Source category: Applications Development

Big Data in a Small Trial: Visual and Statistical Analyses in an N-of-1 Clinical Trial

Marie Boman-Davis, National University

Source category: Industry Solutions

Breaking Eggs to Make Omelets: Distributing Analytic Effort with Scrambled Datasets

E. Margaret Warton, Kaiser Permanente Division of Research; Howard Moffet, Kaiser Permanente Division of Research; Andrew Karter, Kaiser Permanente Division of Research

Source category: Industry Solutions

Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated

Justina M. Flavin, Independent Consultant

Source category: Professional Development

Conjunction, What’s Your Function?: How PRXCHANGE Saved The Day

Mary F. O. Rosenbloom, Edwards Lifesciences LLC; Jennifer Mares, Edwards Lifesciences LLC; Trina Patel, Edwards Lifesciences LLC

Source category: Quick Tips

Conquering Big Data Analytics Challenges with SAS, Teradata and Hadoop

Tho H. Nguyen, Teradata; Paul Segal, colleague; John Cunningham, colleague

Source category: Big Data

DATA Step MODIFY and UPDATE Statements: Do They Preserve Integrity Constraints?

Baskar Anjappan, MUFG Union Bank, N.A.

Source category: Quick Tips

Dealing with Missing Data in Clinical Trials

Lucheng Shao, Ivantis, Inc

Source category: Data Management

Decision Trees as a Predictive Modeling Method

Gerald R. Hobbs, West Virginia University

Source category: Analytics & Statistics

Delivering Dynamic, Real-Time Reports to MS Office Users as Stored Processes

Sy J. Truong, Meta-Xceed; Carey G. Smoak, Roche Molecular Systems, Inc

Source category: Beyond the Basics

Delivering SAS Reports and Data to Web Portal

Sy J. Truong, Meta-Xceed

Source category: Industry Solutions

Design of Experiments (DOE) Using JMP

Charles Edwin Shipp, Consider Consulting Corporation

Source category: Posters

Differences in Functionality of Error Handling Features, SAS Enterprise Guide vs. Batch

Thomas E. Billings, MUFG Union Bank

Source category: Applications Development

Different ways of calculating percentiles using SAS

Arun Akkinapalli, eBay Inc

Source category: Beyond the Basics

Don’t Let a Bad Date Ruin Your Day: Dealing with Invalid Dates in SAS

Lucheng Shao, Ivantis, Inc

Source category: Data Management

Efficient Cut-point Estimation and Validation using PROC PHREG

Alan Mitchell, Cancer Research and Biostatistics

Source category: Analytics & Statistics

Expediting Access to Critical Pathology Data

Leanne Goldstein, City of Hope; Rebecca Ottesen, City of Hope; Julie A. Kilburn, City of Hope; Joyce C. Niland, City of Hope

Source category: Industry Solutions

Exploring Phase 1 ADaM Deriving System from SDTM

Yiwen Li, Gilead Sciences

Source category: Industry Solutions

From a One-Horse to a One-Stoplight Town: A Base SAS Solution to Preventing Data Access Collisions through the Detection and Deployment of Shared and Exclusive File Locks

Troy Martin Hughes

Source category: Data Management

Author collections: Troy Martin Hughes

Fuzzy Bootstrap Matching

Dale Harrington, Well Point

Source category: Analytics & Statistics

Generation Data Groups and their Data Set Metadata (AKA Dropping Bread Crumbs).

Jess Watkins, CVS Caremark

Source category: Data Management

Getting Up to Speed with PROC REPORT

Kimberly Stinson LeBouton, K.J.L Computing

Source category: SAS Essentials Workshop

Getting Your Hands on Reproducible Graphics

Rebecca Ottesen, City of Hope; Leanne Goldstein, City of Hope

Source category: Hands-On Workshops

How can I simplify ETL when I only have Base SAS

Steve Cavill, NSW Bureau of Crime Statistics and Research

Source category: Data Management

How to Use Proc Tabulate – Hands-on workshop

Tasha Chapman, Oregon Department of Human Services

Source category: Hands-On Workshops

Intervals, Enhanced

Derek P. Morgan, Mallinckrodt Pharmaceuticals

Source category: Beyond the Basics