SAS Conference Papers 2016Page 16

Outlier Detection Using the Forward Search in SAS/IML® Studio

Jos Polfliet, SAS

Source category: Conference presentation

Panel Discussion: How to get involved with Regional SAS Users Groups (RUGs) and SAS Global Forum

Kuligowski, A., Mendez, L., Alonzo, A., Jackson, C., Gengo, G.

Source category: Regular Session

The publisher lists this presentation without a downloadable file.

Parsing Useful Data Out of Unusual Formats Using SAS®

Kuligowski, A.

Source category: Regular Session

Partial Promotion of SAS® Content: Tips and Tricks for Business Users

Andrew Howell, ANJ Solutions P/L

Source category: Conference presentation

Pastries, Microbreweries, Diamonds, and More: Small Businesses Can Profit with SAS®

Cameron Jagoe, The University of Alabama; Taylor Larkin, The University of Alabama; Denise McManus, University of Alabama

Source category: Conference presentation

Patients with Morbid Obesity and Congestive Heart Failure Have Longer Operative Time and Room Time in Total Hip Arthroplasty

Yubo Gao

Source category: e-Posters

File inside source ZIP: E-Posters/EPO-144_Final_PDF.pdf

Pattern-based MDR: Towards High-quality Data Standards

Alan Cantrell; Julius Kusserow

Source category: CDISC & Industry Standards

Author collections: ALAN CANTRELL · Julius Kusserow

Peaceful Co-existence: R and SAS

Martin Gregory; Manuel Cornes

Source category: Applications and Software Development

Pedal-to-the-Metal Analytics with SAS® Studio, SAS® Visual Analytics, and SAS® Visual Statistics

Manuel Figallo, SAS

Source category: Conference presentation

Performance Issues and Solutions: SAS® with Hadoop

Anjan Matlapudi,, AmeriHealth Caritas Family of Companies

Source category: Conference presentation

Performance Measures Presented with SAS® Visual Analytics

Bill Schneider, North Carolina Community College System

Source category: Conference presentation

Performing Efficient Wide-to-Long Transposes on Teradata Tables Using SAS® Explicit Pass-Through

Tao Cheng, Accenture

Source category: Conference presentation

Performing Pattern Matching by Using Perl Regular Expressions

Arthur Li

Source category: Beyond the Basics

Author collections: Arthur Li

Performing Pattern Matching by Using Perl Regular Expressions

Arthur Li, City of Hope

Source category: Conference presentation

Perish the Sort: Using Indexes and Hash Objects for Efficient Programming

Jason Smith

Source category: Coders Corner

Personal Lending: Customer Credit and Pricing Optimization

Yuri Medvedev, Bank of Montreal

Source category: Conference presentation

Personalized Birthday Wisher (PBW): An Indispensable SAS® Tool for Your Workplace

Jinson Erinjeri and Angela Soriano

Source category: Coder's Corner

File inside source ZIP: Coders Corner/CC-173_Final_PDF.pdf

Pinnacle 21 Enterprise - Facilitating eSubmission PreparationMax Kanevsky, Pinnacle 21

Max Kanevsky

Source category: Software Demonstrations

The publisher-listed Paper file is currently unavailable.

Author collections: Max Kanevsky

Placing a Moratorium on the Madness

Scott Bahlavooni

Source category: CDISC & Industry Standards

Author collections: SCOTT BAHLAVOONI

Plan Your Work Using PROC CALENDAR

Suresh Kumar Kothakonda

Source category: Quick Tips

Planning for Data-reporting Processes for Submission: Key Considerations

Parag Shiralkar

Source category: Regulatory

Author collections: Parag Shiralkar

Point-and-Click Programming Using SAS® Enterprise Guide®

Lafler, R., Lafler, K., & Shapiro, M.

Source category: Regular Session

Portfolio Optimization with Discontinuous Constraint

Taras Zlupko, University of Chicago; Robert Spatz, University of Chicago

Source category: Conference presentation

Practical Implications of Sharing Data: A Primer on Data Privacy, Anonymization, and De-Identification

Gregory S. Nelson

Source category: Industry Basics

Author collections: Gregory S. Nelson

PrecMod: An Automated Precision SAS® Macro for Random Effects Models

Jesse A. Canchola; Pari Hemyari

Source category: Healthcare Analytics

Author collections: Pari Hemyari

Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS® 9.4 and SAS® Enterprise Miner™ 14.1

Quyen Nguyen, Oklahoma State University

Source category: Conference presentation

Predicting Human Activity Sensor Data Using an Auto Neural Model with Stepwise Logistic Regression Inputs

Venkata Vennelakanti, Oklahoma State University

Source category: Conference presentation

Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It

Ram Poudel, Oklahoma state university; Lynn Xiang, Oklahoma State University

Source category: Conference presentation

Predicting Loan Defaults in the Wild West of Peer-to-Peer Lending

Wood, D. (LSU)

Source category: Student Symposium

The publisher lists this presentation without a downloadable file.

Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women

Ravikrishna Vijaya Kumar, Oklahoma State University; SHRIE RAAM SATHYANARAYANAN, Oklahoma State University - Center for Health Sciences

Source category: Conference presentation

Predicting Rare Events Using Specialized Sampling Techniques in SAS®

Rhupesh Damodaran Ganesh Kumar, Oklahoma State University (SAS and OSU data mining Certificate); Kiren Raj Mohan Jagan Mohan, Zions Bancorporation

Source category: Conference presentation

Predicting Response Time for the First Reply after a Question Is Posted in the SAS® Community Forum

Praveen Kumar Kotekal, Oklahoma State University

Source category: Conference presentation

Predicting student success based on interactions with virtual learning environment

Vivek Doijode and Neha Singh

Source category: e-Posters

File inside source ZIP: E-Posters/EPO-271_Final_PDF.pdf

Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS® Enterprise Miner™ 12.3

Mostakim Tanjil, Oklahoma State University; Goutam Chakraborty, Oklahoma State University

Source category: Conference presentation

Predicting the Influence of Demographics on Domestic Violence Using SAS® Enterprise Guide® 6.1 and SAS® Enterprise Miner™ 12.3

Soumil Mukherjee, Oklahoma State University; Goutam Chakraborty, Oklahoma State University; Miriam McGaugh, Oklahoma state department of Health

Source category: Conference presentation

Predictive Analytics in Credit Scoring: Challenges and Practical Resolutions

Regina Malina, Equifax

Source category: Conference presentation

Prepare for Re-entry: Challenges and Solutions for Handling Re-screened Subjects in SDTM

Charity Quick; Paul Nguyen

Source category: Data Standards

Author collections: Charity Quick · Paul Nguyen

Preparing for a SAS® 9.4 Deployment and Managing that Deployment Throughout Its Lifecycle

Alec Fernandez, SAS

Source category: Conference presentation

Preparing Legacy Format Data for Submission to the FDA – When & Why Must I Do It, What Guidance Should I Follow?

David C. Izard

Source category: Submission Standards

Author collections: David C. Izard

Preparing the Data to Ensure Correct Calculation of Relative Risk

Ravi Kankipati; Abhilash Chimbirithy

Source category: Beyond the Basics

Author collections: Ravi Kankipati · Abhilash Chimbirithy