SAS Global Forum 2014 Papers ArchivePage 9

The Commonly Used Statistical Methods to Control The Probability of an Overall Type I Error and the Application in Clinical Trial

Lixiang Yao, icon

Source category: Introductory skill level

The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS® Visual Analytics Explorer

Nascif Abousalh-Neto, SAS

Source category: General skill level

The Many Ways of Creating Dashboards Using SAS®

Mark Bodt, The Knowledge Warehouse (Knoware)

Source category: Advanced/Intermediate skill level

The Power of PROC FORMAT

Jonas Bilenas, Barclays UK&E RBB

Source category: Introductory skill level

The Query Builder: The Swiss Army Knife of SAS® Enterprise Guide®

Steven First, Systems Seminar Consultants; Jennifer First-Kluge, Systems Seminar Consultants

Source category: General skill level

The RAKE-TRIM Algorithm: Reducing Variance and Bias in Sampling Weights

Louis Rizzo, Westat

Source category: Advanced/Intermediate skill level

The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign

Goutam Chakraborty, Oklahoma State University; Amit Kushwah, Oklahoma State University; Arun Mandapaka, Oklahoma State University

Source category: General skill level

The SAS® Hash Object: It's Time to .find() Your Way Around

Peter Eberhardt, Fernwood Consulting Group Inc.

Source category: General skill level

The Soccer Oracle: Predicting Soccer Game Outcomes Using SAS® Enterprise Miner™

Sai Vijay Kishore Movva, Oklahoma State University; Vandana Reddy, Oklahoma State University

Source category: General skill level

The Traveling Baseball Fan Problem and the OPTMODEL Procedure

Tonya Chapman, SAS; Matt Galati, SAS; Rob Pratt, SAS

Source category: Advanced/Intermediate skill level

The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge

Nick Kucera, Pinnacle Actuarial Resources; Roosevelt Mosley, Pinnacle Actuarial Resources, Inc.

Source category: General skill level

Three Different Ways to Import JSON from the Facebook Graph API

Philihp Busby, SAS

Source category: General skill level

Time Contour Plots

David Corliss, Magnify Analytic Solutions

Source category: Advanced/Intermediate skill level

Time Series Mapping with SAS®: Visualizing Geographic Change over Time in the Health Insurance Industry

Barbara Okerson, WellPoint

Source category: General skill level

Tips and Tricks for Organizing and Administering Metadata

Michael Sadof, MGS Associates, Inc.

Source category: Advanced/Intermediate skill level

Tips and Tricks to Using SAS® Enterprise Guide® in a BI World

Angela Hall, SAS

Source category: Introductory skill level

Tips for Moving from Base SAS® 9.3 to SAS® Enterprise Guide® 5.1

Anjan Matlapudi, AmerihealthCaritas

Source category: General skill level

Tips to Use Character String Functions in Record Lookup

Anjan Matlapudi, Amerihealth Critas

Source category: General skill level

Toe to Toe: Comparing ODS LAYOUT and the ODS Report Writing Interface

Allison Crutchfield, SAS; Daniel Kummer, SAS

Source category: Advanced/Intermediate skill level

Tools of the SAS® Trade: A Centralized Macro-Based Reporting System

Patrick Thornton, SRI International

Source category: Advanced/Intermediate skill level

Top 10 SQL Tricks in SAS®

Chao Huang, Oklahoma State University

Source category: Advanced/Intermediate skill level

Top Seven Techniques for Creating SAS® Web Applications

Yogendra Joshi, SAS

Source category: Advanced/Intermediate skill level

Tricks Using SAS® Add-In for Microsoft Office

Tricia Aanderud, And Data Inc

Source category: General skill level

Trimmed_t: A SAS® Macro for the Trimmed T-Test

Anh Kellermann, University of South Florida; Eun Sook Kim, U; Jeffrey Kromrey, University of South Florida; Diep Nguyen, University of South Florida; Patricia Rodriguez de Gil, University of South Florida

Source category: Advanced/Intermediate skill level

Turn Your SAS® Macros into Microsoft Excel Functions with the SAS® Integrated Object Model and ADO

Chris Brooks, Melrose Analytics Ltd

Source category: Advanced/Intermediate skill level

Tying It All Together: A Story of Size Optimization at DSW

Linda Canada, DSW Inc.

Source category: Introductory skill level

Uncover the Most Common SAS® Stored Process Errors

Tricia Aanderud, And Data Inc; Angela Hall, SAS

Source category: Introductory skill level

Uncovering Trends in Research Using SAS® Text Analytics with Examples from Nanotechnology and Aerospace Engineering

Tom Sabo, SAS

Source category: General skill level

Understanding and Applying the Logic of the DOW-Loop

Arthur Li, City of Hope

Source category: Advanced/Intermediate skill level

Understanding Change in the Enterprise

Michael Ames, SAS; Liz McIntosh, SAS; Nancy Rausch, SAS; Bryan Wolfe, SAS

Source category: General skill level

Unlock the Power of SAS® Visual Analytics Starting with Multiple Microsoft Excel Files

Beena Mathew, SAS; Michelle Wilkie, SAS

Source category: General skill level

Up Your Game with Graph Template Language Layouts

Sanjay Matange, SAS

Source category: Advanced/Intermediate skill level

Useful Tips for Building Your Own SAS® Cloud

Brad Murphy, SAS; Peter Villiers, SAS

Source category: Advanced/Intermediate skill level

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

Useful Tips When Deploying SAS® Code in a Production Environment

Elena Shtern, SAS

Source category: Advanced/Intermediate skill level

Using Arrays for Epidemic Modeling in SAS®

Carl Grafe, University of Utah

Source category: Advanced/Intermediate skill level

Using Base SAS® to Extend the SAS® System

Mark Jordan, SAS

Source category: Advanced/Intermediate skill level

Using Java to Harness the Power of SAS®

Jeremy Palbicki, Mayo Clinic

Source category: General skill level

Using Metadata-Bound Libraries to Authorize Access to SAS® Data

Howard Plemmons, SAS; Jack Wallace, SAS

Source category: Advanced/Intermediate skill level

Using PROC GPLOT and PROC REG Together to Make One Great Graph

William Zupko II, DHS

Source category: General skill level

Using PROC MCMC for Bayesian Item Response Modeling

Yi-Fang Wu, Department of Educational Measurement and Statistics, Iowa Testing Programs, University of Iowa

Source category: General skill level