SAS Conference Papers 2013Page 16

Making it Happen: A Novel Way to Construct, Customize and Implement Your SAS® Enterprise BI User Enablement Framework

Tawney Moreno-Simon, Centers for Medicare & Medicaid Services (CMS) ; Vivek Seth, Computer Sciences Corporation - CSC

Source category: Poster and Video Presentations

Making of a Project Manager

Manjusha Gode

Source category: Professional Development & Training

Author collections: Manjusha Gode

Making the Log a Forethought Rather Than an Afterthought

Emmy Pahmer

Source category: Techniques & Tutorials: Foundations

Author collections: Emmy Pahmer

Making the Most of Your SAS® Investment in the Era of Big Data

Justin Choy, SAS ; Tonya Balan, SAS

Source category: SAS Futures

Making the Most of Your Statistical Analysis with SAS® Programming and the Output Delivery System

Chris Riddiough†

Source category: Statistics and Coding

The original proceedings table lists this presentation without a PDF.

Manage Your Data as a Strategic Asset

Bill Ford, Vail Resorts ; Khaled Ghadban, Canada Post ; Richard Beaver, United Natural Foods, Inc

Source category: IT Management

Managing 21 CFR Part 11 Compliance: Using Checksums on Opens Systems

Carey Smoak; Mario Widel

Source category: Management and Support

Author collections: Carey Smoak · Mario Widel

Managing and Analyzing Financial Risk on Big Data with High-Performance Risk and Visual Analytics

Cary Orange, SAS ; Donald Erdman, SAS ; Stacey Christian, SAS

Source category: Financial Services

Managing and Monitoring Statistical Models

Nate Derby, Stakana Analytics

Source category: Planning and Support

Managing Graphic Appearance for Grouped Data in ODS Graphics

Yunzhi Ling; Mei Wu

Source category: Data Visualization and Graphics

Author collections: Yunzhi Ling

Map Metadata – Going Beyond the Obvious/Connecting the Dots

Gregory Steffens; Praveen Garg

Source category: Industry Basics

Author collections: Gregory Steffens

Mapping Unique Aspects of Implantable Medical Device Study Data to CDISC SDTM Medical Device Domains

Timothy L Bullock; Sini Nair; Ramkumar Krishnamurthy; Todd M Gross

Source category: Data Standards

Author collections: Timothy L Bullock · Ramkumar Krishnamurthy

MapReduce Anywhere with DS2

Cindy Wang, SAS ; Doug Sedlak, SAS ; Gordon Keener, SAS ; Robert Ray, SAS

Source category: SAS Futures

Markov Chains and Zeros in My Data: Bayesian Approaches in SAS® That Address Zero Inflation

Matthew Russell, University of Minnesota

Source category: Statistics and Data Analysis

Matching with Hash Objects

Gregory Watson, University of California, Los Angeles

Source category: Data Management

Maximizing Confidence and Coverage for a Nonparametric Upper Tolerance Limit for a Fixed Number of Samples

Dennis Beal

Source category: Statistics and Data Analysis

File inside source ZIP: SD-07.pdf

Author collections: Dennis Beal

Maximizing the Power of Hash Tables

David Corliss, Magnify Analytic Solutions

Source category: Beyond the Basics

Measuring Medication Adherence with Simple Drug Use and Medication Switching

Seth Traubenberg, Walgreen Co. ; Stacy Wang, Walgreens ; Zhongwen Huang, Walgreens

Source category: Pharma and Health Care

MedDRA – Beyond that basic AE report: How SMQs and MedDRA structure can enhance reporting

Pamela Giese

Source category: Health Outcomes and Epidemiology

Author collections: Pamela Giese

Medical Versus Pharmacy Insurance: Which Is More Cost-Effective for Providing the Prescription? Solving the Problem Via SAS® Enterprise Guide®.

Amber Schmitz, Prime Therapeutics

Source category: Pharma and Health Care

Methods and Application for Determining the Integrity and Veracity of Medical Device Safety Related Data in Social Media

Mark Wolff; Michael Wallis

Source category: Applications Development

The publisher explicitly marks this presentation as having no paper available.

Author collections: Mark Wolff

Methods to Derive COVAL-COVALn in CO Domain

Chunxia Lin

Source category: Coders Corner

Author collections: Chunxia Lin

Missing No More: Using the MCMC Procedure to Model Missing Data

Fang Chen, SAS

Source category: Statistics and Data Analysis

Mission Possible: Your Assignment is to Validate Output for a Study

Susan Fehrer Coulson; Kevin R. Coulson

Source category: Techniques & Tutorials: Foundations

Mission Possible: Your Assisgnment is to Validate Output for a Study

Susan Fehre; Kevin Coulson

Source category: Poster Presentation

MIXED_FIT: A SAS® Macro to Assess Model Fit and Adequacy for Two-Level Linear Models

Bethany Bell, University of South Carolina ; Mihaela Ene, University of South Carolina ; Whitney Smiley, University of South Carolina

Source category: Poster and Video Presentations

Mobile Reporting at University of Central Florida

Carlos Piemonti

Source category: Reporting and Information Visualization

File inside source ZIP: RIV-08.pdf

Author collections: Carlos Piemonti

Model Selection for Linear Models with SAS/STAT Software

Funda Gunes†

Source category: SAS Presentations

The original proceedings table lists this presentation without a PDF.

Modeling Categorical Response Data

Maura Stokes

Source category: Statistics and Data Analysis

No matching paper PDF appears in the publisher's proceedings ZIP.

Author collections: Maura Stokes

Modeling Change over Time: A SAS® Macro for Latent Growth Curve Modeling

Pei-Chin Lu, University of Northern Colorado ; Robert Pearson, University of Northern Colorado

Source category: Statistics and Data Analysis

Models for Ordinal Response Data

Robin High, University of Nebraska Medical Center

Source category: Statistics and Data Analysis

Modern SAS Programming: Using SAS Grid Manager and Enterprise Guide in a Global Pharmaceutical Environment

David Edwards; Gregory S. Nelson; Susan Wang

Source category: Management and Support

Author collections: David Edwards · Gregory S. Nelson

Modern SAS® Programming: Using SAS® Grid Manager and SAS® Enterprise Guide® in a Global Pharmaceutical Environment

David Edwards, Amgen ; Greg Nelson, ThotWave Technologies, LLC.

Source category: Pharma and Health Care

Monitoring 101: New Features in SAS® 9.4 for Monitoring Your SAS® Intelligence Platform

Amy Peters, SAS ; Bob Bonham, SAS ; Zhiyong Li, SAS

Source category: Systems Architecture and Administration

Monitoring Your Metadata

George Pandzik

Source category: Enterprise Guide and Coding

The original proceedings table lists this presentation without a PDF.

More Power to SAS – Embedding Other Programming Languages in SAS Through SAS/IML® Studio

Max Cherny

Source category: Applications Development

Author collections: Max Cherny

Moving to SAS® Drug Development 4.2

Magnus Mengelbier, Limelogic

Source category: Pharma and Health Care

Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX

Lucy D'Agostino, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine ; Melody S. Goodman, Division of Public Health Sciences at Washington University in St. Louis School of Medicine

Source category: Statistics and Data Analysis

Multivariate Bioequivalence

Shital Agawane; Sanjukta Roy

Source category: Statistics and Pharmacokinetics

My Big Data Experience - Getting my Feet Wet in the PUddle and Still Treading Water 2 Years Later

Robert Walls

Source category: Health Outcomes and Epidemilogy