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PharmaSUG 2016 Papers ArchivePage 3

Browse indexed publications from PharmaSUG in 2016. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.

178 papers · Showing 81–120

PharmaSUG · 2016Paper IB02PharmaSUG 2016

Introduction of Semantic Technology for SAS® programmers

Kevin Lee

Source category: Industry Basics

Author collections: Kevin Lee

PharmaSUG · 2016Paper CP05PharmaSUG 2016

Journey from the student to the full-time programmer

Viktoriia Vasylenko

Source category: Career Planning

PharmaSUG · 2016Paper QT04PharmaSUG 2016

Keeping Up with Updating Dictionaries

Divyaja Padamati

Source category: Quick Tips

Author collections: Divyaja Padamati

PharmaSUG · 2016Paper QT13PharmaSUG 2016

Lab CTCAE – the Perl Way

Marina Dolgin

Source category: Quick Tips

PharmaSUG · 2016Paper SP07PharmaSUG 2016

Latent Structure Analysis Procedures in SAS®

Deanna Schreiber-Gregory

Source category: Statistics and Pharmacokinetics

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2016Paper TT12PharmaSUG 2016

Let’s Make Music: Using SAS® Functions for Music Composition

Kim Truett; Zak Truett

Source category: Techniques and Tutorials

Author collections: Kim Truett

PharmaSUG · 2016Paper QT01PharmaSUG 2016

Log Checks Made Easy

Yogesh Pande

Source category: Quick Tips

Author collections: Yogesh Pande

PharmaSUG · 2016Paper BB14PharmaSUG 2016

Macro to get data from specific cutoff period

Kiranmai Byrichetti; Jeffrey Johnson

Source category: Beyond the Basics

Author collections: Jeffrey Johnson

PharmaSUG · 2016Paper PO14PharmaSUG 2016

Making Greedy into Optimal! A Poor Woman’s Attempt to Get Optimal Propensity Score Matching from a Greedy Matching Algorithm

Janet Grubber; Carl Pieper; Cathleen Colon-Emeric

Source category: Posters

Author collections: Janet Grubber

PharmaSUG · 2016Paper TT10PharmaSUG 2016

May the Function Be With You: Helpful SAS® Functions, Particularly When Handling CDISC Data

Angela Lamb

Source category: Techniques and Tutorials

PharmaSUG · 2016Paper BB07PharmaSUG 2016

Meaningful Presentation of Clinical Trial Data with Multiple Y-Axes Graph

Mina Chen

Source category: Beyond the Basics

Author collections: Mina Chen

PharmaSUG · 2016Paper PO06PharmaSUG 2016

Mixed Effects Models

Yan Wang

Source category: Posters

Author collections: Yan Wang

PharmaSUG · 2016Paper IB10PharmaSUG 2016

Moving from Data Collection to Data Visualization and Analytics: Leveraging CDISC SDTM Standards to Support Data Marts

Steve Kirby; Terek Peterson

Source category: Industry Basics

Author collections: Steve Kirby · Terek Peterson

PharmaSUG · 2016Paper DS04PharmaSUG 2016

Moving up! – SDTM v3.2 – What is new and how to use it

Alyssa Wittle; Christine McNichol; Antonio Cardozo

Source category: Data Standards

Author collections: Alyssa Wittle · Christine McNichol · Antonio Cardozo

PharmaSUG · 2016Paper CP06PharmaSUG 2016

My First Job Dos-and-Don’ts: A Survival Guide for Your First Statistical Programming Job in the Industry

Assir Abushouk; Thu-Nguyen Nguyen

Source category: Career Planning

Author collections: Assir Abushouk

PharmaSUG · 2016Paper BB10PharmaSUG 2016

Name that Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to be MISSING Out

Ben Cochran; Arthur L. Carpenter

Source category: Beyond the Basics

Author collections: Ben Cochran · Arthur L. Carpenter

PharmaSUG · 2016Paper SS06PharmaSUG 2016

New Features in Define-XML V2.0 and Its Impact on SDTM/ADaM Specifications

Hang Pang

Source category: Submission Standards

Author collections: Hang Pang

PharmaSUG · 2016Paper HT03PharmaSUG 2016

New for SAS® 9.4: A Technique for Including Text and Graphics in Your Microsoft Excel Workbooks, Part 1

Vincent DelGobbo

Source category: Hands-On Training

Author collections: Vincent DelGobbo

PharmaSUG · 2016Paper BB08PharmaSUG 2016

Novel Programming Methods for Change from Baseline Calculations

Mina Chen; Peter Eberhardt

Source category: Beyond the Basics

Author collections: Mina Chen · Peter Eberhardt

PharmaSUG · 2016Paper DG01PharmaSUG 2016

Now You Can Annotate Your GTL Graphs!

Dan Heath

Source category: Data Visualization and Graphics

Author collections: Dan Heath

PharmaSUG · 2016Paper MS02PharmaSUG 2016

Outcome of a Clinical SAS University training program in Eastern Europe – How are graduates performing in a real work environment?

Donnelle LaDouceur; Sergey Glushakov

Source category: Management and Support

Author collections: Sergey Glushakov

PharmaSUG · 2016Paper BB02PharmaSUG 2016

Performing Pattern Matching by Using Perl Regular Expressions

Arthur Li

Source category: Beyond the Basics

Author collections: Arthur Li

PharmaSUG · 2016Paper QT02PharmaSUG 2016

Plan Your Work Using PROC CALENDAR

Suresh Kumar Kothakonda

Source category: Quick Tips

PharmaSUG · 2016Paper IB06PharmaSUG 2016

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

PharmaSUG · 2016Paper HA01PharmaSUG 2016

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

Jesse A. Canchola; Pari Hemyari

Source category: Healthcare Analytics

Author collections: Pari Hemyari

PharmaSUG · 2016Paper DS09PharmaSUG 2016

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

PharmaSUG · 2016Paper SS02PharmaSUG 2016

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

PharmaSUG · 2016Paper BB12PharmaSUG 2016

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

PharmaSUG · 2016Paper HT02PharmaSUG 2016

PROC REPORT: Compute Block Basics

Arthur L. Carpenter

Source category: Hands-On Training

Author collections: Arthur L. Carpenter

PharmaSUG · 2016Paper QT18PharmaSUG 2016

PROC SQL: To Create Macro Variables with Multiple Values and the Uses in Clinical Programming

Anish Kuriachen

Source category: Quick Tips

Author collections: Anish Kuriachen

PharmaSUG · 2016Paper IB04PharmaSUG 2016

Programming checks: Reviewing the overall quality of the deliverables without parallel programming

Shailendra Phadke; Veronika Csom

Source category: Industry Basics

Author collections: Shailendra Phadke · Veronika Csom

PharmaSUG · 2016Paper SP03PharmaSUG 2016

Programming Support for Exposure-Response Analysis in Oncology Drug Development

Peter Lu; Hong Yan

Source category: Statistics and Pharmacokinetics

Author collections: Peter Lu · Hong Yan

PharmaSUG · 2016Paper MS04PharmaSUG 2016

QA and Compliance Insights Using the SCAPROC Procedure

Ben Bocchicchio; Sandeep Juneja

Source category: Management and Support

Author collections: Ben Bocchicchio · Sandeep Juneja

PharmaSUG · 2016Paper MS07PharmaSUG 2016

Quality, Timely and Within Budget Analysis and Reporting – Yes, you can have all three! A process and tool to help achieve this goal

Wilminda Martin; Sharon Niedecken; Syamala Schoemperlen

Source category: Management and Support

Author collections: Syamala Schoemperlen

PharmaSUG · 2016Paper QT03PharmaSUG 2016

Quick and Efficient Way to Check the Transferred Data

Divyaja Padamati

Source category: Quick Tips

Author collections: Divyaja Padamati

PharmaSUG · 2016Paper MS06PharmaSUG 2016

Recruiting and Retention Strategies for 2016 in the SAS Programmer Staffing Organizations

Helen Chmiel; Mindy Kiss; Andrea Moralez

Source category: Management and Support

PharmaSUG · 2016Paper QT24PharmaSUG 2016

Remember to always check your simple SAS function code!

Yingqiu Yvette Liu

Source category: Quick Tips

Author collections: YINGQIU YVETTE LIU

PharmaSUG · 2016Paper TT01PharmaSUG 2016

Removing Duplicates Using SAS®

Kirk Paul Lafler

Source category: Techniques and Tutorials

Author collections: Kirk Paul Lafler

PharmaSUG · 2016Paper DS03PharmaSUG 2016

Results-Level Metadata: What, How, and Why

Frank Dilorio; Jeffrey Abolafia

Source category: Data Standards

Author collections: FRANK DILORIO · Jeffrey Abolafia

PharmaSUG · 2016Paper SP11PharmaSUG 2016

ROC Curve: Making way for correct diagnosis

Manoj Pandey; Abhinav Jain

Source category: Statistics and Pharmacokinetics

Author collections: MANOJ PANDEY · Abhinav Jain