THE COMMUNITY ARCHIVE

SESUG Papers ArchivePage 36

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

1,633 papers · Showing 1401–1440

SESUG · 2012Paper PH-04SESUG 2012

A CareerView Mirror: Another Perspective on Your Work and Career Planning

Bill Donovan, OckhamSource™

Source category: Pharma and Healthcare

File inside source ZIP: PH-04.pdf

SESUG · 2012Paper CT-05SESUG 2012

A Closer Look at PROC SQL's FEEDBACK Option

Ken Borowiak, PPD, Inc.

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-05.pdf

SESUG · 2012Paper PO-03SESUG 2012

A Corporate SAS® Community of Support

Barbara Okerson, WellPoint

Source category: Posters

File inside source ZIP: PO-03.pdf

SESUG · 2012Paper PH-02SESUG 2012

A GUI-based utility macro for creating a version controlled project directory structure and copying in standard tools and template files

Hisham Madi, INC ResearchMatt Psioda, University of North Carolina at Chapel Hill

Source category: Pharma and Healthcare

File inside source ZIP: PH-02.pdf

SESUG · 2012Paper CT-25SESUG 2012

A Handy New SAS® Tool for Comparing Dynamic Datasets

LaTonia Richardson, CDC

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-25.pdf

SESUG · 2012Paper CT-14SESUG 2012

A PROC MEANS Primer

David Kerman, Bank of America

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-14.pdf

SESUG · 2012Paper PO-13SESUG 2012

A Randomization Test SAS Program for Making Treatment Effects Inferences for Extensions and Variations of ABAB Single-Case Experimental Designs

Patricia Rodriguez de Gil, University of South FloridaJohn M. Ferron, University of South Florida

Source category: Posters

File inside source ZIP: PO-13.pdf

SESUG · 2012Paper PH-06SESUG 2012

A SAS Macro Approach to Assign CTCAE Grades to Laboratory Adverse Experiences

Mei Dey, AccentureLisa Pyle, Accenture

Source category: Pharma and Healthcare

File inside source ZIP: PH-06.pdf

SESUG · 2012Paper SD-06SESUG 2012

A SAS macro to compute effect size (Cohen’s d) and its confidence interval from raw survey data

Rajendra Kadel, University of South Florida, College of Public HealthKevin Kip, University of South Florida

Source category: Statistics and Data Analysis

File inside source ZIP: SD-06.pdf

SESUG · 2012Paper BB-04SESUG 2012

A SAS Programming Framework for Data Extraction Using Perl Regular Expression: The First Wave

Jiangtang Hu, d-Wise Technologies

Source category: Beyond the Basics

File inside source ZIP: BB-04.pdf

SESUG · 2012Paper PO-07SESUG 2012

A SAS Users Guide to Regular Expressions When the Data Resides in Oracle

Kunal Agnihotri, PPDKenneth Borowiak, PPD

Source category: Posters

File inside source ZIP: PO-07.pdf

SESUG · 2012Paper PH-09SESUG 2012

A Standard SAS Program for Corroborating OpenCDISC Error Messages

John R Gerlach, Independent Consultant

Source category: Pharma and Healthcare

File inside source ZIP: PH-09.pdf

SESUG · 2012Paper CT-07SESUG 2012

A three-piece suite to address the worth and girth of expanding a data set

Phil d'Almada, Duke Clinical Research InstituteBrian Tinga, Duke Clinical Research Institute Daniel Wojdyla, Duke Clinical Research Institute

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-07.pdf

SESUG · 2012Paper PO-02SESUG 2012

A Visual Approach to Monitoring Case Report Form Submission During Clinical Trials

Rebecca Horney, Dept. of Veterans Affairs Cooperative Studies Program Coordinating CenterKaren Jones, Dept. of Veterans Affairs Cooperative Studies Program Coordinating CenterAnnette Wiseman, Dept. of Veterans Affairs Cooperative Studies Program Coordinating Center

Source category: Posters

File inside source ZIP: PO-02.pdf

SESUG · 2012Paper CT-15SESUG 2012

A Winning Combination: Generation of Listing and Descriptive Statistics Table in One Report

Chenille Lloyd, PharmaNet/i3

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-15.pdf

SESUG · 2012Paper CT-02SESUG 2012

An email macro: Exploring metadata in EG and user credentials in Linux to automate email notifications.

Jason Baucom, Ateb, Inc.

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-02.pdf

SESUG · 2012Paper CT-21SESUG 2012

An In-Line View to a SQL

Darryl Putnam, CACI, Inc.

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-21.pdf

SESUG · 2012Paper CT-11SESUG 2012

An Introduction to Criteria-based Deduplication of Records

Elizabeth Heath, RTI InternationalPriya Suresh, RTI International

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-11.pdf

SESUG · 2012Paper PH-05SESUG 2012

An Introduction to the Clinical Standards Toolkit

Mike Molter, d-Wise Techologies

Source category: Pharma and Healthcare

File inside source ZIP: PH-05.pdf

SESUG · 2012Paper PO-18SESUG 2012

Array, Hurray, Array; Consolidate or Expand Your Input Data Stream Using Arrays

William E Benjamin Jr., Owl Computer Consultancy LLC

Source category: Posters

File inside source ZIP: PO-18.pdf

SESUG · 2012Paper BB-09SESUG 2012

Automating SAS/Graph Axis Ranges: Using a macro to produce easily read major tick mark increments based on the data to be graphed

Rick Edwards, PPD, Inc.

Source category: Beyond the Basics

File inside source ZIP: BB-09.pdf

SESUG · 2012Paper PA-04SESUG 2012

Best Practices for Managing and Monitoring SAS® Data Management Solutions

Greg Nelson, ThotWave

Source category: Planning and Administration

File inside source ZIP: PA-04.pdf

SESUG · 2012Paper CT-30SESUG 2012

Beyond “If then” - Three Techniques for Cleaning Character Variables from Write-in Questions

Yusheng Zhai, American Cancer SocietyRyan Diver, American Cancer Society Xia Lin, American Cancer Society

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-30.pdf

SESUG · 2012Paper IT-04SESUG 2012

Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools

Frank DiIorio, CodeCrafters, Inc.(presented by Paul Dorfman)

Source category: Launching Off: Intro Tutorials

File inside source ZIP: IT-04.pdf

SESUG · 2012Paper SD-01SESUG 2012

Compare MIXED and GLMMIX to Analyze Breast Cancer Longitudinal Study

Abbas Tavakoli, Uinversity of South CarolinaSue Heiney, Uinversity of South Carolina, College of Nursing

Source category: Statistics and Data Analysis

File inside source ZIP: SD-01.pdf

SESUG · 2012Paper RI-04SESUG 2012

Converting from SAS/GRAPH(R) to ODS Graphics

Jim Horne, Lowe's Companies, Inc.

Source category: Reporting and Information Visualization

File inside source ZIP: RI-04.pdf

SESUG · 2012Paper RI-14SESUG 2012

Creating a Heatmap Visualization of 150 Million GPS Points on Roadway Maps via SAS®

Shih-Ching Wu, Virginia Tech Transportation InstituteShane McLaughlin, Virginia Tech Transportation Institute

Source category: Reporting and Information Visualization

File inside source ZIP: RI-14.pdf

SESUG · 2012Paper RI-10SESUG 2012

Data merging and Exploration to identify association of Epidemiological outbreaks with Environmental factors

Neeta Shenvi, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA Xin Zhang, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA Azhar Nizam, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA

Source category: Reporting and Information Visualization

File inside source ZIP: RI-10.pdf

SESUG · 2012Paper SD-04SESUG 2012

Decision-Making using the Analytic Hierarchy Process (AHP) and SAS/IML®

Melvin Alexander, Social Security Administration

Source category: Statistics and Data Analysis

File inside source ZIP: SD-04.pdf

SESUG · 2012Paper PH-07SESUG 2012

Developing a Complete Picture of Patient Safety in Clinical Trials

Richard Zink, JMP Life Sciences, The SAS InstituteRussell Wolfinger, JMP Life Sciences, The SAS Institute

Source category: Pharma and Healthcare

File inside source ZIP: PH-07.pdf

SESUG · 2012Paper SD-08SESUG 2012

Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study

John Chantis, DoD IG

Source category: Statistics and Data Analysis

File inside source ZIP: SD-08.pdf

SESUG · 2012Paper CT-27SESUG 2012

Display, Group or Order: Using Proc Report to Create Clinical Trials Outputs

Sally Walczak, Quintiles

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-27.pdf

SESUG · 2012Paper RI-13SESUG 2012

Diverse Report Generation With PROC REPORT

Chris Speck, PAREXEL International

Source category: Reporting and Information Visualization

File inside source ZIP: RI-13.pdf

SESUG · 2012Paper RI-08SESUG 2012

Do SAS® users read books? Using SAS graphics to enhance survey research

Barbara Okerson, WellPoint

Source category: Reporting and Information Visualization

File inside source ZIP: RI-08.pdf

SESUG · 2012Paper PO-04SESUG 2012

Do You Have Too Much Class?

Janet Willis, Rho, Inc.

Source category: Posters

File inside source ZIP: PO-04.pdf

SESUG · 2012Paper RI-06SESUG 2012

Don’t Avoid It, Exploit It: Using Annotate to Enhance Graphical Output

Sarah Mikol, Rho, Inc.

Source category: Reporting and Information Visualization

File inside source ZIP: RI-06.pdf

SESUG · 2012Paper CT-28SESUG 2012

Encoding the Password - A low maintenance way to secure your data access

Leanne Tang, NASS/USDA

Source category: Coder’s Tips and Tricks

File inside source ZIP: CT-28.pdf

SESUG · 2012Paper RI-07SESUG 2012

Enhance your SAS/Intrnet application with jQuery and Google Earth

David Mintz, EPA

Source category: Reporting and Information Visualization

File inside source ZIP: RI-07.pdf

SESUG · 2012Paper PO-19SESUG 2012

Evaluating effectiveness of management interventions in a hospital using SAS® Text Miner

Anil Kumar Pantangi, Oklahoma State University Musthan Mohideen, Oklahoma State University Goutam Chakraborty, Oklahoma State UniversityGary Gaeth, University of Iowa

Source category: Posters

File inside source ZIP: PO-19.pdf

SESUG · 2012Paper PO-17SESUG 2012

Extend the Power of SAS® to Use Callable VBS and VBA Code Files Stored in External Libraries to Control Excel Formatting Routines

William E Benjamin Jr., Owl Computer Consultancy LLC

Source category: Posters

File inside source ZIP: PO-17.pdf