THE COMMUNITY ARCHIVE

WUSS 2013 Papers Archive

Browse indexed publications from WUSS in 2013. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.

111 papers · Showing 1–40

WUSS · 2013Paper 084WUSS 2013

%CS: A SAS Macro to Calculate and Construct Composite Scores for Large Data

Qinlei Huang, University of Minnesota /St Jude Children’s Research Hospital

Source category: Data Management

WUSS · 2013Paper 103WUSS 2013

%GrabTweet: A SAS Macro to Read JSON Formatted Tweets

Isabel Litton, California Polytechnic State University, San Luis Obispo; Rebecca Ottesen, California Polytechnic State University, San Luis Obispo

Source category: Data Management

WUSS · 2013Paper 143WUSS 2013

A First Look at the ODS Destination for PowerPoint

Tim Hunter, SAS

Source category: Data Presentation and Reporting

WUSS · 2013Paper 121WUSS 2013

A Graphical Approach to Advise an Appropriate Statistical Analysis

Bret Moulton, University of Southern California; Robin Jeffries, University of Southern California

Source category: Analytics and Statistics

WUSS · 2013Paper 035WUSS 2013

A Quick and Dirty Descriptive Data Summary

Nora Ruel, City of Hope Comprehensive Cancer Center; Rebecca Nelson, City of Hope Comprehensive Cancer Center

Source category: Data Presentation and Reporting

WUSS · 2013Paper 135WUSS 2013

A Tutorial on PROC LOGISTIC

Arthur Xuejun Li, City of Hope National Medical Center

Source category: Tutorials

WUSS · 2013Paper 098WUSS 2013

Access to Relational Databases Using SAS

Frederick E. Pratter, Utopia Ltd Inc.

Source category: Data Management

WUSS · 2013Paper 073WUSS 2013

Accomplish Optimal I/O Performance on SAS 9.3 with Intel Cache Acceleration Software and Intel DC S3700 Solid State Drive

Yingping Zhang, Intel; Curry Jeff, Intel; Roxas Frank, Intel; Benjamin Donie, Intel

Source category: Business Intelligence

WUSS · 2013Paper 053WUSS 2013

Add Dropdowns and Redirects to Your SAS Output

Barbara Ross, DataX Ltd.

Source category: Applications Development

WUSS · 2013Paper 091WUSS 2013

An Abbreviated PROC COMPARE with Traffic Lighting

William Jay Conover, dataceutics

Source category: Data Management

WUSS · 2013Paper 013WUSS 2013

An Algorithm for ARIMA Dynamic Regression Variable Selection

Ross Bettinger, Self

Source category: Posters

WUSS · 2013Paper 012WUSS 2013

An Overview of Syntax Check Mode and Why it is Important

Thomas E. Billings, Union Bank

Source category: Quick Tips

WUSS · 2013Paper 039WUSS 2013

Array: Simplify Coding

Kai Yang, City of Hope

Source category: Quick Tips

WUSS · 2013Paper 048WUSS 2013

Automated and Customized Reports as a Single Image File Using Graph Template Language (GTL): A Case Study of Benchmarking Reports in Medical Research

Monarch Shah, ICON Clinical Research; Ginny Lai, ICON Clinical Research; Eric P. Elkin, ICON Clinical Research

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 040WUSS 2013

Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM

William Garner, Gilead Sciences, Inc.

Source category: Analytics and Statistics

WUSS · 2013Paper 068WUSS 2013

Building a Controlled Statistical Programming Environment

Wayne F. Woo, Novartis Vaccines and Diagnostics

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 114WUSS 2013

Challenges in Moving to a Multi-tier Server Platform

Carey G. Smoak, Roche Molecular Systems, Inc.

Source category: Applications Development

WUSS · 2013Paper 057WUSS 2013

Cheat sheet: Data Processing Optimization – for Pharma Analysts & Statisticians

Karthikeyan Chidambaram, Genentech

Source category: Analytics and Statistics

WUSS · 2013Paper 069WUSS 2013

Checklist for the Standardization of Quality Assurance and Optimization of HEDIS Programming

Jason Hermosillo, Kaiser Permanente of Colorado, Denver, CO

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 124WUSS 2013

Competing Risk Regression: Big Data Issues from Modest Sample Sizes

Katharine Kirby, University of California, San Francisco; Deborah Barnes, University of California, San Francisco; John Boscardin, University of California, San Francisco

Source category: Analytics and Statistics

WUSS · 2013Paper 032WUSS 2013

Constructing Begin-End Date Intervals from Event or As-of Dates in a SAS DATA Step

Thomas E. Billings, Union Bank

Source category: Quick Tips

WUSS · 2013Paper 120WUSS 2013

Converting Electronic Medical Records Data into Practical Analysis Dataset

Irena Stijacic Cenzer, UCSF/SFVA; Mladen Stijacic, UCSF/SFVA; Sei Lee, UCSF/SFVA

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 076WUSS 2013

Converting Entity-Attribute-Value (EAV) Source Tables into Useful Data with SAS DATA Steps

Thomas E. Billings, Union Bank; Baskar Anjappan, Union Bank; Junling Ji, Union Bank

Source category: Data Management

WUSS · 2013Paper 043WUSS 2013

Creating a DOS Batch File to Run SAS Programs

David W. Franklin, TheProgrammersCabin.com

Source category: Quick Tips

WUSS · 2013Paper 115WUSS 2013

Creating Custom Graphic Output Using the SG Annotate Data Set

Doug E. Lassman, Quintiles

Source category: Data Presentation and Reporting

WUSS · 2013Paper 102WUSS 2013

Creating Excel-lent SAS Data Sets

Benjamin Cochran, The Bedford Group

Source category: Tutorials

WUSS · 2013Paper 096WUSS 2013

Creating Graphical Patient Profiles Using SAS

William Garner, Gilead Sciences, Inc.

Source category: Data Presentation and Reporting

WUSS · 2013Paper 085WUSS 2013

Cross Platform migration of SAS BI Environment: Tips and Tricks

Amol Deshmukh, California ISO

Source category: Business Intelligence

WUSS · 2013Paper 142WUSS 2013

Current Directions in SAS/STAT Software Development

Funda Gunes, SAS

Source category: Analytics and Statistics

WUSS · 2013Paper 071WUSS 2013

Customize Comparison Tables for Clinical Studies

Polina Kukhareva, University of Utah; Katherine J. Roggenkamp, University of North Carolina

Source category: Data Presentation and Reporting

WUSS · 2013Paper 107WUSS 2013

Decision Trees as a Predictive Modeling Method

Gerald R. Hobbs, West Virginia University

Source category: Business Intelligence

WUSS · 2013Paper 060WUSS 2013

Design of Experiments (DOE) using JMP

Charles Edwin Shipp, Consider Consulting Corp.

Source category: Applications Development

WUSS · 2013Paper 105WUSS 2013

Different ways of parallel processing using SAS

Arun Akkinapalli, eBay; John Prenner, eBay

Source category: Quick Tips

WUSS · 2013Paper 049WUSS 2013

Dynamic Regression in ARIMA Modeling

Ross Bettinger, Self

Source category: Analytics and Statistics

WUSS · 2013Paper 130WUSS 2013

Estimating Medication Adherence Using a Patient-Mix Adjustment Method

Scott P. Leslie, STATisfy Analytics

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 063WUSS 2013

Estimating the Impact of Lost to Follow-up on Breast Cancer Patients Disease-free Survival

Debbie Yan Qun Huang, University of California, Los Angeles

Source category: Health Outcomes and Healthcare Research Methodologies

WUSS · 2013Paper 150WUSS 2013

Exact Testing Procedures in SAS for Categorical Data Analysis

Guogen Shan, UNLV; Darren Liu, UNLV

Source category: Analytics and Statistics

WUSS · 2013Paper 020WUSS 2013

Exploring the PROC SQL _METHOD Option

Kirk Paul Lafler, Software Intelligence Corporation; Charles Edwin Shipp, Consider Consulting Corporation

Source category: Posters

WUSS · 2013Paper 065WUSS 2013

Factor Analysis: Quit being a whiny baby and learn it with SAS Enterprise Guide

AnnMaria De Mars, The Julia Group

Source category: SAS Enterprise Guide

WUSS · 2013Paper 146WUSS 2013

Flexibility by Design: A Look at New and Updated System Options in SAS 9.4

Jan Squillace, SAS

Source category: Tutorials