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PharmaSUG Papers ArchivePage 52

Browse indexed publications from PharmaSUG. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.

2,664 papers · Showing 2041–2080

PharmaSUG · 2017Paper HT03PharmaSUG 2017

Survival 101 – Just Learning to Survive

Leanne Goldstein; Rebecca Ottesen

Source category: Hands-on Training

Author collections: Leanne Goldstein · Rebecca Ottesen

PharmaSUG · 2017Paper PO02PharmaSUG 2017

Takeaways from Integrating Studies Conducted by Bristol-Myers Squibb (BMS) and ONO

Yan Wang

Source category: Posters

Author collections: Yan Wang

PharmaSUG · 2017Paper DV15PharmaSUG 2017

The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros

Jeffrey Meyers

Source category: Data Visualizations & Graphics

Author collections: Jeffrey Meyers

PharmaSUG · 2017Paper DV13PharmaSUG 2017

The basics of Graphics Template Language and output by PROC DOCUMENT

Fangping Chen

Source category: Data Visualizations & Graphics

PharmaSUG · 2017Paper DS23PharmaSUG 2017

The Benefits of Traceability Beyond Just From SDTM to ADaM in CDISC Standards

Maggie Ci Jiang

Source category: Data Standards

Author collections: Maggie Ci Jiang

PharmaSUG · 2017Paper DS08PharmaSUG 2017

The CDISC SDTM Exposure Domains (EX & EC) Demystified. How EC Helps You Produce A Better (more compliant) EX.

Thomas Guinter

Source category: Data Standards

Author collections: Thomas Guinter

PharmaSUG · 2017Paper DS04PharmaSUG 2017

The CDISC Trial Design Model (TDM), the EPOCH variable, and the Treatment Emergent Flag: How to Leverage these to Improve Review

Thomas Guinter

Source category: Data Standards

Author collections: Thomas Guinter

PharmaSUG · 2017Paper MS02PharmaSUG 2017

The Cross Border Program – Strengthening the Sponsor-Partner Offshore Experience

Kenneth Bauer; Girish Havildar

Source category: Management & Support

Author collections: Girish Havildar

PharmaSUG · 2017Paper SS10PharmaSUG 2017

The Do’s/Don’ts, An SDTM Validation Perspective. The should/shouldn’t when explaining issues in the Study Data Reviewers Guide

Thomas Guinter

Source category: Submission Standards

Author collections: Thomas Guinter

PharmaSUG · 2017Paper CP04PharmaSUG 2017

The Elusive Data Scientist: Real-world analytic competencies

Greg Nelson

Source category: Career Planning

Author collections: Greg Nelson

PharmaSUG · 2017Paper TT13PharmaSUG 2017

The Proc Transpose Cookbook

Doug Zirbel

Source category: Techniques & Tutorials

PharmaSUG · 2017Paper BB03PharmaSUG 2017

The REPORT Procedure and ODS Destination for Microsoft Excel: The Smarter, Faster Way to Create First-Rate Excel Reports

Jane Eslinger

Source category: Beyond the Basics

Author collections: Jane Eslinger

PharmaSUG · 2017Paper CP02PharmaSUG 2017

The Road Not Often Taken

Janet Stuelpner

Source category: Career Planning

Author collections: Janet Stuelpner

PharmaSUG · 2017Paper CP06PharmaSUG 2017

The Road Not Taken: SAS for Pharmacometrics

Vishak Subramoney; Sree Harsha Sreerama Reddy

Source category: Career Planning

Author collections: Vishak Subramoney · Sree Harsha Sreerama Reddy

PharmaSUG · 2017Paper DS01PharmaSUG 2017

The Untapped Potential of the Protocol Representation Model

Frank Diiorio; Jeffrey Abolafia

Source category: Data Standards

Author collections: Frank DiIorio · Jeffrey Abolafia

PharmaSUG · 2017Paper AD03PharmaSUG 2017

Three Issues and Corresponding Work-Around Solution for Generating Define.xml 2.0 Using Pinnacle 21 Enterprise

Jeff Xia; Lugang Larry Xie; Shari Lisnov

Source category: Applications Development

Author collections: Jeff Xia · Lugang Larry Xie

PharmaSUG · 2017Paper TT11PharmaSUG 2017

Tips and Best Practices using SAS® Analytics

Tho Nguyen; Paul Segal

Source category: Techniques & Tutorials

Author collections: Paul Segal

PharmaSUG · 2017Paper HA03PharmaSUG 2017

Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data

Sergey Glushakov; Iryna Kotenko; Andrey Rekalo

Source category: Healthcare Analytics

Author collections: Sergey Glushakov · Iryna Kotenko · Andrey Rekalo

PharmaSUG · 2017Paper DV11PharmaSUG 2017

Translating Statistics into Knowledge by Examples Using SAS Graphic Procedures

Tao Shu; Jianfei Jiang

Source category: Data Visualizations & Graphics

Author collections: Tao Shu · Jianfei Jiang

PharmaSUG · 2017Paper HA04PharmaSUG 2017

Two Roads Diverged in a Narrow Dataset…When Coarsened Exact Matching is More Appropriate than Propensity Score Matching

Aran Canes

Source category: Healthcare Analytics

Author collections: Aran Canes

PharmaSUG · 2017Paper FDA02PharmaSUG 2017

Update on Data Standards

Ron Fitzmartin

Source category: FDA Wednesday

PharmaSUG · 2017Paper HT06PharmaSUG 2017

Usage of Pinnacle 21 Community Toolset 2.x.x for Clinical Programmers

Sergiy Sirichenko; Michael Digiantomasso

Source category: Hands-on Training

Author collections: Sergiy Sirichenko · Michael Digiantomasso

PharmaSUG · 2017Paper SS03PharmaSUG 2017

Use of Traceability Chains in Study Data and Metadata for Regulatory Electronic Submission

Tianshu Li

Source category: Submission Standards

PharmaSUG · 2017Paper DV07PharmaSUG 2017

Using Animated Graphics to Show PKPD Relationships in SAS 9.4

Andrew Mccarthy

Source category: Data Visualizations & Graphics

PharmaSUG · 2017Paper BB08PharmaSUG 2017

Using Hash tables for AE search strategies

Vinodita Bongarala; Liz Thomas

Source category: Beyond the Basics

Author collections: Vinodita Bongarala · Liz Thomas

PharmaSUG · 2017Paper AD13PharmaSUG 2017

Using SAS® for Application Programming Interface Requests

Mike Jadoo

Source category: Applications Development

Author collections: Mike Jadoo

PharmaSUG · 2017Paper AD12PharmaSUG 2017

Using SAS® ODS EXCEL Destination with SAS University Edition® to send graphs to Excel

William E Benjamin Jr

Source category: Applications Development

Author collections: William E Benjamin Jr

PharmaSUG · 2017Paper QT14PharmaSUG 2017

Visual Basic for Applications: A Solution for Handling Non-ASCII Removal and Replacement

Eric Crockett

Source category: Quick Tips

Author collections: Eric Crockett

PharmaSUG · 2017Paper DV06PharmaSUG 2017

Visualizing Enrollment Over Time

Laura Gruetzner

Source category: Data Visualizations & Graphics

PharmaSUG · 2017Paper QT03PharmaSUG 2017

What Are Occurrence Flags Good For Anyway?

Nancy Brucken

Source category: Quick Tips

Author collections: Nancy Brucken

PharmaSUG · 2017Paper CP03PharmaSUG 2017

What Makes a Candidate Stand Out?

Edward Slezinger

Source category: Career Planning

PharmaSUG · 2017Paper DV14PharmaSUG 2017

When one is not enough or multi-celled plots: comparison of different approaches

Vladlen Ivanushkin

Source category: Data Visualizations & Graphics

Author collections: Vladlen Ivanushkin

PharmaSUG · 2017Paper DS07PharmaSUG 2017

Where Is the Link Broken – Another Look at SDTM Oncology Tumor Packages

Hong Wang; Ke Xiao

Source category: Data Standards

Author collections: Hong Wang · Ke Xiao

PharmaSUG · 2017Paper MS07PharmaSUG 2017

Woops, I Didn’t Know! An Elegant Solution to Let Your Entire Department Benefit from Individual Lessons Learned

Michael Hagendoorn; Annia Way; Tim Yerington; Rachel Bowman

Source category: Management & Support

Author collections: Michael Hagendoorn · Tim Yerington · Rachel Bowman

PharmaSUG · 2017Paper AD07PharmaSUG 2017

Work with me here…(or there or anywhere): Practical Cloud Collaboration with JMP Clinical for Clinical Trial Data Reviews

Kelci Miclaus; Drew Foglia

Source category: Applications Development

Author collections: Kelci Miclaus · Drew Foglia

PharmaSUG · 2017Paper BB17PharmaSUG 2017

Writing Efficient Queries in SAS Using PROC SQL with Teradata

Mina Chen

Source category: Beyond the Basics

Author collections: Mina Chen

PharmaSUG · 2016Paper SP10PharmaSUG 2016

“I Want the Mean, But not That One!”

David Franklin

Source category: Statistics and Pharmacokinetics

Author collections: David Franklin

PharmaSUG · 2016Paper DS06PharmaSUG 2016

“It is a standard, so it is simple, right?”: Misconceptions and Organizational Challenges of Implementing CDISC at a CRO

Susan H.M. Boquist; Adam J. Sicard

Source category: Data Standards

PharmaSUG · 2016Paper PO16PharmaSUG 2016

“The car is in the shop but where are the mechanics?” The future of Standard Scripts for Analysis and Reporting

Dirk Spruck; Nina Worden

Source category: Posters

Author collections: Dirk Spruck

PharmaSUG · 2016Paper PO05PharmaSUG 2016

A Data Preparation Primer: Getting Your Data Ready for Submission

Janet Stuelpner

Source category: Posters

Author collections: Janet Stuelpner