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SAS Conference Papers 2019Page 17

Indexed 2019 papers and presentations across the available conference sources. Each record retains the original author text and available material links.

1,290 papers · Showing 641–680

SAS Global Forum · 2019Paper 3093-2019SAS Global Forum 2019

Making Life Easier on the SAS ® End: Best Practices for Collecting Survey Data

Julie Plano and Keli Sorrentino, Yale University

Source category: Conference presentation

SESUG · 2019Paper 197SESUG 2019

Making Life Easier on the SAS End: Best Practices for Collecting Survey Data

Keli Sorrentino

Source category: Industry Specific Topics

File inside source ZIP: IS-Industry_Specific_Topics/SESUG2019_Paper-197_Final_PDF.pdf

PharmaSUG · 2019Paper BP-219PharmaSUG 2019

Making the Days Count: Counting Distinct Days in Overlapping or Disjoint Date Intervals

Noory Kim

Source category: Programming Techniques

Author collections: Noory Kim

SESUG · 2019Paper 137SESUG 2019

Making Your SAS® Results More Meaningful with Color

Kirk Paul Lafler

Source category: Reporting and Visualization

File inside source ZIP: Reporting_and_Visualization/SESUG2019_Paper-137_Final_PDF.pdf

Author collections: Kirk Paul Lafler

SAS Global Forum · 2019Paper 3645-2019SAS Global Forum 2019

Making your Way through the Metadata Maze

Frank Poppe, Laurent de Walick, PW Consulting

Source category: Conference presentation

SESUG · 2019Paper 252SESUG 2019

Market Basket Analysis on Instacart

Aravind Dhanabal

Source category: Statistics and Data Analysis

File inside source ZIP: Statistics_and_Data_Analysis/SESUG2019_Paper-252_Final_PDF.pdf

SAS Global Forum · 2019Paper 2986-2019SAS Global Forum 2019

Mastering Parameters in SAS® Visual Analytics

Stu Sztukowski, SAS Institute Inc.

Source category: Conference presentation

SAS Global Forum · 2019Paper 3620-2019SAS Global Forum 2019

Matchy-Matchy: Role of Strategy, Case to Control Ratio, and Number of Variables in PROC PSMATCH

Brittany Hand, J. Madison Hyer, Rittal Mehta, and Timothy Pawlik, Ohio State University, Wexner Med Ctr

Source category: Conference presentation

SAS Global Forum · 2019Paper 3062-2019SAS Global Forum 2019

Maxims Of Maximally Efficient SAS Programmers

Kurt Bremser, Allianz Technology

Source category: Conference presentation

SAS Global Forum · 2019Paper 3621-2019SAS Global Forum 2019

Measuring Analytic Performance in Financial Terms for Executives

Kenneth Pikulik, Teradata

Source category: Conference presentation

SAS Global Forum · 2019Paper 3568-2019SAS Global Forum 2019

Measuring Model Stability

Daymond Ling, Seneca College of Applied Arts and Technology

Source category: Conference presentation

WUSS · 2019Paper 65WUSS 2019

Measuring Test-Retest Reliability: The Intraclass Kappa

Dennis Fisher, Grace Reynolds-Fisher, Eric Neri, Art Noda and Helena Kraemer

Source category: Analytics and Statistics

SAS Global Forum · 2019Paper 3341-2019SAS Global Forum 2019

Medical Image Analytics in SAS ® Viya ® for the Treatment of Colorectal Cancer Spread to the Liver

Joost Huiskens, SAS Fijoy Vadakkumpadan, SAS

Source category: Conference presentation

WUSS · 2019Paper 187WUSS 2019

Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets

Josh Horstman

Source category: Beginner’s Techniques

Author collections: Josh Horstman

PharmaSUG · 2019Paper PO-305PharmaSUG 2019

Merging Sensor Data with Patient Records in Clinical Trials – Systems and Benefits

Surabhi Dutta; Shubhranshu Dutta

Source category: e-Posters

Author collections: Surabhi Dutta · Shubhranshu Dutta

PharmaSUG · 2019Paper DS-336PharmaSUG 2019

Metadata Repository V1.0 – A Case Study in Standards Governance

Aparna Venkataraman

Source category: Data Standards

PHUSE · 2019Paper DH04PHUSE EU Connect 2019

Migrating to LSAF - Danone Nutricia Research's Journey

Paul Vervuren; Jean-Marc Ferran

Source category: Data Handling

Author collections: Paul Vervuren · Jean-Marc Ferran

SAS Global Forum · 2019Paper 3565-2019SAS Global Forum 2019

Millennium BCP Increase business analytics skills with a new educational approach, what; how and value

Pontes, Tarcísio, Millennium bcp

Source category: Conference presentation

PharmaSUG · 2019Paper AP-241PharmaSUG 2019

Minimally Invasive Surgery to Merge Data

Paul Hamilton

Source category: Advanced Programming

Author collections: Paul Hamilton

PHUSE · 2019Paper AS06PHUSE EU Connect 2019

Mixed Model Repeated Measures (MMRMs)

Mrudula Suryawanshi

Source category: Analytics and Statistics

PHUSE · 2019Paper ML01PHUSE US Connect 2019

ML01 Artificial Intelligence and Healthcare

Aman Bahl; Hrideep Antony

Source category: Machine Learning

Author collections: Aman Bahl · Hrideep Antony

PHUSE · 2019Paper ML01PHUSE EU Connect 2019

ML01 Using Image Recognition in Production Support

Thomas Dekelver

Source category: Machine Learning

PHUSE · 2019Paper ML02PHUSE US Connect 2019

ML02 Getting REAL with Supervised and Unsupervised Machine Learning Algorithms in the Real World

Himanshu Pandya; Bob Engle

Source category: Machine Learning

Author collections: Himanshu Pandya · Bob Engle

PHUSE · 2019Paper ML02PHUSE EU Connect 2019

ML02 Sub-population Detection Using Graph-based Machine Learning

Sergey Glushakov; Kostiantyn Drach

Source category: Machine Learning

Author collections: Sergey Glushakov · Kostiantyn Drach

PHUSE · 2019Paper ML03PHUSE EU Connect 2019

ML03 Symbolic Regression: Survival of the Best Fit

Hector Leitch

Source category: Machine Learning

Author collections: Hector Leitch

PHUSE · 2019Paper ML04PHUSE US Connect 2019

ML04 Hit and Miss: An Evaluation of Imputation Techniques from Machine Learning

Karma Tarap

Source category: Machine Learning

Author collections: Karma Tarap

PHUSE · 2019Paper ML05PHUSE EU Connect 2019

ML05 Do You Know What Your Model is Doing? A Look at How Human Bias Influences Machine Learning

Jim Box; Elena Snavely

Source category: Machine Learning

Author collections: Jim Box

PHUSE · 2019Paper ML05PHUSE US Connect 2019

ML05 Metadata-based Auto-Programming Process – Part 2: Map Human Language to SAS Code by Natural Language Processing (NLP)

Sumesh Kalappurakal; Harry Chen

Source category: Machine Learning

Author collections: Sumesh Kalappurakal · Harry Chen

PHUSE · 2019Paper ML06PHUSE EU Connect 2019

ML06 Using R to Build Artificial Neural Networks in Medical Data

Thomas Wollseifen

Source category: Machine Learning

Author collections: Thomas Wollseifen

PHUSE · 2019Paper ML07PHUSE US Connect 2019

ML07 Machine Learning for Better Treatment with Omics and Clinical Data

Phani Ponnapalli; Subrahmanyam Rayaprolu

Source category: Machine Learning

Author collections: Phani Ponnapalli · Subrahmanyam Rayaprolu

PHUSE · 2019Paper ML07PHUSE EU Connect 2019

ML07 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application

Jim Box

Source category: Machine Learning

Author collections: Jim Box

PHUSE · 2019Paper ML08PHUSE US Connect 2019

ML08 An Overview of the PHUSE ML/AI Working Group Project

Sairam Gorthi; Kevin Lee

Source category: Machine Learning

Author collections: Kevin Lee

PHUSE · 2019Paper ML08PHUSE EU Connect 2019

ML08 SMART RPA – Powered by Machine Learning

Charan Kumar Kuyyamudira Janardhana

Source category: Machine Learning

Author collections: Charan Kumar Kuyyamudira Janardhana

PHUSE · 2019Paper ML09PHUSE EU Connect 2019

ML09 AI-assisted Code Reviews

Igor Khorlo

Source category: Machine Learning

Author collections: Igor Khorlo

PHUSE · 2019Paper ML09PHUSE US Connect 2019

ML09 Data Harmonization Using Machine Learning

Lex Jansen

Source category: Machine Learning

Author collections: Lex Jansen

PHUSE · 2019Paper ML10PHUSE US Connect 2019

ML10 Metadata-driven Automation in Drug Research

Hanming Tu; Zhongping Lin

Source category: Machine Learning

Author collections: Hanming Tu

PHUSE · 2019Paper ML11PHUSE US Connect 2019

ML11 Smart Transformation of Clinical & Nonclinical Data for Insights

Phaneendra Bonda; Isaac Mativo

Source category: Machine Learning

Author collections: Isaac Mativo

PHUSE · 2019Paper ML12PHUSE US Connect 2019

ML12 Utilizing Artificial Intelligence for Efficient CRF Design

Komal Govil; Sai Vundela

Source category: Machine Learning

Author collections: Komal Govil

PHUSE · 2019Paper ML13PHUSE US Connect 2019

ML13 To Digitally Transform Your Workplace, Change Your Operating System

Christopher J. Colangelo

Source category: Machine Learning

WUSS · 2019Paper 169WUSS 2019

Mocking Data To Support Performance Load Testing

Troy Martin Hughes

Source category: Big Data and Data Science

Author collections: Troy Martin Hughes