SAS Conference Papers 2020Page 14

Mindset for Effective Collaboration and Success in a Multinational Remote Team

Alona Bulychova

Source category: Strategy & Programming

Minimizing Environmental Disturbances: Applying Leave No Trace Principles to SAS® Programming

Carl Sommer, SAS Institute Inc.

Source category: Conference paper

Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure

L. Grisell Diaz-Ramirez; Bocheng Jing; Kenneth E. Covinsky; W. John Boscardin

Source category: Conference paper

Author collections: L. Grisell Diaz-Ramirez · Bocheng Jing · W. John Boscardin

MKADRGM: A Macro to Transform Drug-Level SDTM Data into Traceable, Regimen-Level ADaM Data Sets

Sara McCallum

Source category: Applications Development

Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration

Melvin Alexander

Source category: Analytics Leadership and Open Analytics

Author collections: Melvin Alexander

Model Governance for AI: Rethinking Our Approach to Validating and Using Black Box Models

Naeem Siddiqi, SAS Institute

Source category: Conference paper

Model-Based Risk-Adjustment in Clinical Outcome Research

Jiming Fang and Feng Qiu, ICES

Source category: Conference paper

Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models

Qianheng Ma and Donald Hedeker, University of Chicago

Source category: Conference paper

Modelling Imbalanced Classes

Humphrey Brydon, University of the Western Cape

Source category: Conference paper

Modernize your SAS® Visual Analytics Environment

Gregor Herrmann, SAS Institute

Source category: Conference paper

Modernizing Credit Risk Analytics: From Risk Management for Banking into Stress Testing

Christian Macaro, Rocco Cannizzaro, and Satish Garla, SAS Institute

Source category: Conference paper

Monitor Assignment for Students with Disabilities with SAS: Boston Public Schools

Angela Zhang, Boston Public Schools Nabaruna Karmakar, Natalia Summerville, Rob Pratt, and Golbarg Tutunchi, SAS Institute

Source category: Conference paper

MOVIE REVIEWS: TO READ OR NOT TO READ! Spoiler Detection with Applied Machine Learning

Sreejita Biswas, Oklahoma State University; Goutam Chakraborty, Oklahoma State University

Source category: Conference paper

Moving A Hybrid Organization Towards CDISC Standardization

Kobie O’Brian; Sara Shoemaker; Robert Kleemann; Kate Ostbye

Source category: Strategic Implementation

Author collections: Kobie O’Brian · Sara Shoemaker · Robert Kleemann

Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS ®

Bethany Bell, Raymond B. Smith, and Jason A. Schoeneberger, ICF International University of South Carolina

Source category: Conference paper

Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data

Ethem Can and Aysu Ezen-Can, SAS Institute

Source category: Conference paper

Multinomial vs. Ordinal. Does model selection make a difference?

Corey Leadbeater, 8People, Inc. and National University

Source category: Conference paper

My Sharky Secrets for Telling Fabulous Data Stories

Tricia Aanderud; Jaime D’Agord

Source category: Conference paper

Author collections: Tricia Aanderud

Natural History Study – A Gateway to Treat Rare Disease

Tabassum Ambia

Source category: Real World Evidence and Big Data

Author collections: Tabassum Ambia

Natural Language Processing for Enhanced Treatment Decision

Phani Ponnapalli; Subrahmanyam Rayaprolu

Source category: Machine Learning

Author collections: Phani Ponnapalli · Subrahmanyam Rayaprolu

Neural-Network Based Forecasting Strategies in SAS® Viya®

Steven C. Mills, SAS Institute

Source category: Conference paper

Next Level Programming-Reusability and Importance of Custom Checks

Akhil Vijayan; Limna Salim

Source category: Advanced Programming

Author collections: Akhil Vijayan · Limna Salim

Next Steps: Important Considerations for Moving Your Data and Formats into CAS

Kevin Russell, SAS Institute

Source category: Conference paper

NHANES Dietary Supplement component: a parallel programming project

Jayanth Iyengar

Source category: Real World Evidence and Big Data

Author collections: Jayanth Iyengar

NHANES Dietary Supplement component: a parallel programming project

Jayanth Iyengar

Source category: Industry Solutions

Author collections: Jayanth Iyengar

NLP with BERT: Sentiment Analysis Using SAS® Deep Learning and DLPy

Doug Cairns and Xiangxiang Meng, SAS Institute

Source category: Conference paper

NMPA Submission (Data Submission in China)

Marianne Caramés; Sujit Khune

Source category: Submissions & Agencies

Author collections: Marianne Carames

No More Merging! (Property Graph Database Demystified)

Alexey Kuznetsov

Source category: Data Handling

Author collections: Alexey Kuznetsov

Noninvasive Beehive Monitoring through Acoustic Data Using SAS® Event Stream Processing and SAS® Viya®

Yuwei Liao, Anya McGuirk, Byron Biggs, Arin Chaudhuri, Allen Langlois, and Vince Deters, SAS Institute

Source category: Conference paper

Normal is Boring, Let’s be Shiny: Managing Projects in Statistical Programming Using the RStudio® Shiny® App

Girish Kankipati; Hao Meng

Source category: Applications Development

Author collections: Girish Kankipati · Hao Meng

Novel eCRF Study Template to Support Adaptive Design Studies in Medidata Rave

Nele Claes; Ray Lacchman

Source category: Standards Implementation

Obtaining National Readmission Estimates: Examining Readmission Rates in the United States

Patrick Karabon, Alexander Balinski, and Rachel Patterson, Oakland University William Beaumont School of Medicine

Source category: Conference paper

ODS: It's Not Just for Tables Anymore. Using Formatted Text and Lists in Your Reports

Scott Huntley, SAS Institute

Source category: Conference paper

Oncology Data Through Customized Graphics

Hima Bhatis

Source category: Poster Presentation

Oncology Graphs-Creation (Using SAS and R), Interpretation and QA

Taniya Muliyil

Source category: Data Visualization and Reporting

One Boy’s Dream: Hitting a Homerun in the Bottom of the Ninth Inning

Carey Smoak

Source category: Professional Development

Author collections: Carey Smoak

One Boys’ Dream: Hitting a Homerun in the Bottom of the Ninth Inning

Carey Smoak

Source category: Leadership Skills

Author collections: Carey Smoak

One Macro to create more flexible Macro Arrays and simplify coding

Siqi Huang

Source category: Advanced Programming

Open Source Python & R Lang on our SAS Shared Grid (SSG)

Thomas Ball, Christopher Hughes, NatWest Group

Source category: Conference paper

Open Source Technologies in Clinical Research

Bruce Wienckowski; Michael Rimler

Source category: Trends & Technology

Author collections: Michael Rimler