SAS Global Forum Papers ArchivePage 58

Best Practices: Subset without Getting Upset

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

Source category: Conference presentation

Better Metadata Through SAS®: %SYSFUNC, PROC DATASETS, and Dictionary Tables

Louise Hadden, Abt Associates Inc.

Source category: Conference presentation

BI-on-BI for SAS® Visual Analytics

Murali Nori, SAS

Source category: Conference presentation

Big Data: Have You Seen It? Using Graph Theory to Improve Your Analytics: Hypergroup Action

Yue Qi, SAS; Trevor Kearney, SAS

Source category: Conference presentation

Bringing Order to the Wild World of Big Data and Analytics

Casey James, EMC

Source category: Conference presentation

The publisher lists this session without a downloadable paper or presentation.

Build Super Models Quickly with SAS® Factory Miner

Steve Sparano, SAS

Source category: Conference presentation

The publisher lists this session without a downloadable paper or presentation.

Building a Template from the Ground Up with Graph Template Language

Jed Teres, Verizon Wireless

Source category: Conference presentation

Building Credit Modeling Dashboards

Jeremy D'Antoni, FI Consulting

Source category: Conference presentation

Building Flexible Jobs in DataFlux®

Jeanne Estridge, Sinclair Community College

Source category: Conference presentation

Building the Right Team

Scott Sanders, Sears Holdings

Source category: Conference presentation

The publisher lists this session without a downloadable paper or presentation.

Bust Open That ETL Black Box and Apply Proven Techniques to Successfully Modernize Data Integration

Brandon Kirk, SAS

Source category: Conference presentation

Catering to Your Tastes: Using PROC OPTEX to Design Custom Experiments, with Applications in Food Science and Field Trials

Cliff Pereira, Dept of Statistics, Oregon State University; Randy Tobias, SAS

Source category: Conference presentation

Causal Analytics: Testing, Targeting, and Tweaking to Improve Outcomes

Jason Pieratt, Humana

Source category: Conference presentation

CHARACTER DATA: Acquisition, Manipulation, and Analysis

Andrew Kuligowski, HSN; Swati Agarwal, OptumInsight

Source category: Conference presentation

Chi-Square and T Tests Using SAS®: Performance and Interpretation

Maribeth Johnson, Georgia Regents University; Jennifer Waller, Georgia Regents University

Source category: Conference presentation

Clustering Techniques to Uncover Relative Pricing Opportunities: Relative Pricing Corridors Using SAS® Enterprise Miner and SAS® Visual Analytics

Ryan Carr, SAS; Charles Park, Lenovo

Source category: Conference presentation

Coding Your Own MCMC Algorithm

Chelsea Lofland, University of California Santa Cruz

Source category: Conference presentation

Colon(:)izing My Programs

Jinson Erinjeri, EMMES Corporation

Source category: Conference presentation

Competing Risk Survival Analysis Using SAS®: When, Why, and How

Lovedeep Gondara, University of Illinois Springfield

Source category: Conference presentation

Confirmatory Factor Analysis Using PROC CALIS: A Practical Guide for Survey Researchers

Lindsey Brown Philpot, Baylor Scott & White Health; Sunni Barnes, Baylor Scott&White Health; Crystal Carel, BaylorScott&White Health Care System

Source category: Conference presentation

Converting Annotate to ODS Graphics. Is It Possible?

Philip Holland, Holland Numerics Limited

Source category: Conference presentation

Count Series Forecasting

Michael Leonard, SAS

Source category: Conference presentation

Creating Multi-Sheet Microsoft Excel Workbooks with SAS®: The Basics and Beyond, Part 2

Vince DelGobbo, SAS

Source category: Conference presentation

Creating Reports in SAS® Visual Analytics Designer That Dynamically Substitute Graph Roles on the Fly Using Parameterized Expressions

Kenny Lui, SAS

Source category: Conference presentation

Creative Uses of Vector Plots Using SAS®

Deli Wang, REGENERON

Source category: Conference presentation

Credit Card Holders' Behavior Modeling: Transition Probability Prediction with Multinomial and Conditional Logistic Regression in SAS/STAT®

Denys Osipenko, the University of Edinburgh; Jonathan Crook

Source category: Conference presentation

Author collections: Jonathan Crook

Credit Scorecard Generation Using the Credit Scoring Node in SAS® Enterprise Miner™

Ayush Priyadarshi, Oklahoma State University; Kushal Kathed, Oklahoma State University; Shilpi Prasad, Oklahoma State University

Source category: Conference presentation

Cutpoint Determination Methods in Survival Analysis Using SAS®: Updated %FINDCUT Macro

Jay Mandrekar, Mayo Clinic; Jeffrey Meyers, Mayo Clinic

Source category: Conference presentation

Dallas County Midterm Election Exit Polling Research

Yusun Xia, Southern Methodist University

Source category: Conference presentation

Data Aggregation Using the SAS® Hash Object

Paul Dorfman, Dorfman Consukting; Don Henderson, Henderson Consulting Services

Source category: Conference presentation

Data Management Techniques for Complex Healthcare Data

Gabriela Cantu, Baylor Scott &White Health; Christopher Klekar, Baylor Scott and White Health

Source category: Conference presentation

Data Quality Scorecard

Tom Purvis, Qualex Consulting Services, Inc.

Source category: Conference presentation

Data Sampling Improvement by Developing the SMOTE Technique in SAS®

Lina Maria Guzman Cartagena, DIRECTV

Source category: Conference presentation

Data Summarization for a Dissertation: A Grad Student How-To Paper

Elisa Priest, Texas A&M University Health Science Center; Ashley Collinsworth, Baylor Scott & White Health/Tulane University

Source category: Conference presentation

DATU - Data Automated Transfer Utility: A Program to Migrate Files from Mainframe to Windows

Jim Brittain, National Center for Health Statistics (CDC); Robert Schwartz, National Centers for Disease Control and Prevention

Source category: Conference presentation

De-Mystifying Deep Learning

Patrick Hall, SAS

Source category: Conference presentation

The publisher lists this session without a downloadable paper or presentation.

Defensive Coding by Example: Kick the Tires, Pump the Breaks, Check Your Blind Spots, and Merge Ahead!

Donna Levy, Inventiv Health Clinical; Nancy Brucken, inVentiv Health Clinical

Source category: Conference presentation

Defining and Mapping a Reasonable Distance for Consumer Access to Market Locations

Sarah Campbell, Federal Deposit Insurance Corporation

Source category: Conference presentation

Demystifying Date and Time Intervals

Derek Morgan

Source category: Conference presentation

Author collections: Derek Morgan

Deriving Adverse Event Records Based on Study Treatments

Jonson Jiang, inVentiv Health

Source category: Conference presentation