SAS Global Forum Papers ArchivePage 48

Do It Yourself (DIY) Data: Creating a Searchable Data Set of Available Classrooms using SAS® Enterprise BI Server

Nicole Jagusztyn, Hillsborough Community College

Source category: Conference presentation

Do SAS® High-Performance Statistics Procedures Really Perform Highly? A Comparison of HP and Legacy Procedures

Diep Nguyen, University of South Florida; Sean Joo, University of South Florida; Anh Kellermann, University of South Florida; Jeff Kromrey, University of South Florida; Jessica Montgomery, University of South Florida; Patricia Rodríguez de Gil, University of South Florida; Yan Wang, University of South Florida

Source category: Conference presentation

Document and Enhance Your SAS® Code, Data Sets, and Catalogs with SAS Functions, Macros, and SAS Metadata

Roberta Glass, Abt Associates; Louise Hadden, Abt Associates

Source category: Conference presentation

Dynamic Dashboards Using Base SAS® Software

Kirk Paul Lafler, Software Intelligence Corporation

Source category: Conference presentation

Dynamic Forecast Aggregation

Michael Leonard, SAS

Source category: Conference presentation

Easier Platform Administration using SAS® 9.4 Grid Options Sets

Andrew Howell, ANJ Solutions P/L

Source category: Conference presentation

Easing into Data Exploration, Reporting, and Analytics Using SAS® Enterprise Guide®

Marje Fecht, Prowerk Consulting

Source category: Conference presentation

Effective Ways of Handling Various File Types and Importing Techniques Using SAS®9.4

Divya Dadi, Oklahoma State University; Rahul Jhaver, Oklahoma State University

Source category: Conference presentation

Efficiently Create Rates over Different Time Periods (PROC MEANS and PROC EXPAND)

Thomas Gant, Kaiser Permanente

Source category: Conference presentation

Empowering People to Use SAS® as a Weapon for Work Reduction

Anita Measey, Bank of Montreal

Source category: Conference presentation

Enhanced Segmentation Using SAS® Visual Analytics and SAS® Visual Statistics

Darius Baer, SAS; Suneel Grover, SAS

Source category: Conference presentation

Ensemble Modeling: Recent Advances and Applications

Wendy Czika, SAS; Ye Liu, SAS Institute

Source category: Conference presentation

Ensuring that Your SAS® Infrastructure Is Able to Meet Your SAS Users' Demands

Margaret Crevar, SAS

Source category: Conference presentation

Enterprise Data Governance across SAS® and Beyond

Jeff Stander, SAS

Source category: Conference presentation

Equivalence Tests

Fei Wang, McDougall Scientific Ltd.; John Amrhein, McDougall Scientific Ltd.

Source category: Conference presentation

Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS®

Oscar Javier Cortés Arrigui, Scotiabank - Colpatria; Miguel Angel Diaz Rodriguez, Scotiabank - Colpatria

Source category: Conference presentation

Evaluation of PROC IRT Procedure for Item Response Modeling

Yi-Fang Wu, ACT, Inc.

Source category: Conference presentation

Event Stream Processing for Enterprise Data Exploitation

Tho Nguyen, Teradata; Fiona McNeill, SAS

Source category: Conference presentation

Everyone CAN be a Data Scientist: Using SAS® Studio to Create a Custom Task for SAS® In-Memory Statistics

Stephen Ludlow, SAS

Source category: Conference presentation

Evolution, Not Revolution: Understanding the Value of Big Data and Balancing It with Traditional Market Research Data

Will Neafsey, Ford Motor Company

Source category: Conference presentation

Evolving Fraud Types: Can Your Application Keep Up?

Gordon Robinson, SAS

Source category: Conference presentation

Exact Logistic Models for Nested Binary Data in SAS®

Kyle Irimata, Arizona State University; Jeffrey Wilson, Arizona State University

Source category: Conference presentation

Exploring SAS® Embedded Process Technologies on Hadoop

David Ghazaleh, SAS

Source category: Conference presentation

Exploring the Factors That Impact Injury Severity Using Hierarchical Linear Modeling (HLM)

Source category: Conference presentation

exSPLINE That: Explaining Geographic Variation in Insurance Pricing

Carol Frigo, State Farm; Kelsey Osterloo, State Farm Insurance

Source category: Conference presentation

Extending the Armed Conflict Location & Event Data Project with SAS® Contextual Analysis

Tom Sabo, SAS

Source category: Conference presentation

Extracting Useful Information From the Google Ngram Data Set: A General Method to Take the Growth of the Scientific Literature into Account

Aurélien Nicosia, Université Laval; Thierry Duchesne, Universite Laval; Samuel Perreault, Université Laval

Source category: Conference presentation

Factors of Multiple Fatalities in Car Crashes

Bill Bentley, Value-Train; Gina Colaianni, Kennesaw State University; Cheryl Joneckis, Kennesaw State University; Sherry Ni, Kennesaw State University; Kennedy Onzere, Kennesaw State University

Source category: Conference presentation

Fantasizing about the Big Data of NFL Fantasy Football, or Time to Get a Life

Clint Carpenter, Carpenter Programming

Source category: Conference presentation

FASHION, STYLE "GOTTA HAVE IT" COMPUTE DEFINE BLOCK

Chris Boniface, Census Bureau

Source category: Conference presentation

File Management Using Pipes and X Commands in SAS®

Emily Sisson, Boston University School of Public Health Data Coordinating Center

Source category: Conference presentation

Finding and Evaluating Multiple Candidate Models for Logistic Regression

Bruce Lund, Magnify Analytic Solutions, Division of Marketing Associates

Source category: Conference presentation

Finding the National Best Bid and Offer--Quote by Quote

Mark Keintz, Wharton Research Data Services

Source category: Conference presentation

Finding the One: Using SAS® Code and SAS® Data Quality Server to Create a Matched Record

Elena Shtern, SAS; Kim Hare, SAS

Source category: Conference presentation

Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED

Raghavendra Kurada, SAS

Source category: Conference presentation

Fitting Your Favorite Mixed Models with PROC MCMC

Gordon Brown, SAS; Fang K. Chen, SAS; Maura Stokes, SAS

Source category: Conference presentation

Flirting With Disaster: What We Can Learn From Analytical Failures

Source category: Conference presentation

Forecasting Behavior with Age-Period-Cohort Models: How APC Predicted the US Mortgage Crisis, but Also Does So Much More

Joseph Breeden, Prescient Models

Source category: Conference presentation

Forecasting Short Time Series Using SAS® Forecast Server

Cobey Abramowski, SAS; Christian Haxholdt, SAS Institute; Chris Houck, SAS Institute; Benjamin Perryman, SAS Institute

Source category: Conference presentation

Forecasting the Frequency of Terrorist Attacks in the United States and Predicting the Factors that Determine Success of Attacks

SriHarsha Ramineni, Oklahoma State University; Koteswara Rao Sriram, Oklahoma State University

Source category: Conference presentation