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PharmaSUG Papers ArchivePage 48

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

2,664 papers · Showing 1881–1920

PharmaSUG · 2017Paper MS01PharmaSUG 2017

A Review of “Free” Massive Open Online Content (MOOC) for SAS® Learners

Kirk Paul Lafler

Source category: Management & Support

Author collections: Kirk Paul Lafler

PharmaSUG · 2017Paper BB14PharmaSUG 2017

A SAS®sy Study of eDiary Data

Amie Bissonett

Source category: Beyond the Basics

Author collections: Amie Bissonett

PharmaSUG · 2017Paper AD04PharmaSUG 2017

A Vivid and Efficient Way to Highlight Changes in SAS Dataset Comparison

Jeff Xia; Lugang Larry Xie; Shunbing Zhao

Source category: Applications Development

Author collections: Jeff Xia · Lugang Larry Xie · Shunbing Zhao

PharmaSUG · 2017Paper DS16PharmaSUG 2017

ADaM Compliance – Validating your Specifications

Trevor Mankus; Kent Letourneau

Source category: Data Standards

Author collections: Trevor Mankus · Kent Letourneau

PharmaSUG · 2017Paper DS17PharmaSUG 2017

ADaM Grouping: Groups, Categories, and Criteria. Which Way Should I Go?

Jack Shostak

Source category: Data Standards

Author collections: Jack Shostak

PharmaSUG · 2017Paper DS24PharmaSUG 2017

ADQRS: Basic Principles for Building Questionnaire, Rating and Scale Analysis Datasets

Nancy Brucken; Karin Lapann

Source category: Data Standards

Author collections: Nancy Brucken · Karin LaPann

PharmaSUG · 2017Paper SP06PharmaSUG 2017

Adverse Event Data over Time

Kriss Harris

Source category: Statistics & Pharmacokinetics

Author collections: Kriss Harris

PharmaSUG · 2017Paper DS10PharmaSUG 2017

Ahead of the Curve: Leading with Industry Data Requirements

Maria Dalton; Nancy Haeusser

Source category: Data Standards

Author collections: Maria Dalton · NANCY HAEUSSER

PharmaSUG · 2017Paper PO09PharmaSUG 2017

AIR Binder: An Automatic Reporting and Data Analysis SAS Application for Cytochrome P450 Inhibition Assay to Investigate DDI

Hao Sun; Kristen Cardinal; Carole Kirby; Richard Voorman

Source category: Posters

Author collections: Hao Sun · Kristen Cardinal

PharmaSUG · 2017Paper AD05PharmaSUG 2017

An Efficient Solution to Efficacy ADaM Design and Implementation

Chengxin Li; Zhongwei Zhou

Source category: Applications Development

Author collections: Chengxin Li

PharmaSUG · 2017Paper HA07PharmaSUG 2017

Analyzing data from multiple clinical trials using SAS® Real World Evidence

Jay Paulson; David Olaleye

Source category: Healthcare Analytics

Author collections: David Olaleye

PharmaSUG · 2017Paper PO19PharmaSUG 2017

Analyzing Singly Imputed Utility Based Weighted Scores Using EQ-5D for Determining Patients’ Quality of Life in Oncology Studies

Vamsi Krishna Medarametla; Liz Thomas; Gokul Vasist

Source category: Posters

Author collections: Vamsi Krishna Medarametla · Liz Thomas · Gokul Vasist

PharmaSUG · 2017Paper TT12PharmaSUG 2017

Application of Deming Regression in Molecular Diagnostics using a SAS® Macro

Merlin Njoya; Pari Hemyari

Source category: Techniques & Tutorials

Author collections: Pari Hemyari

PharmaSUG · 2017Paper DV10PharmaSUG 2017

Automated DSMB Presentation in SAS: Yeah, I’d Submit That! How to auto populate PowerPoint presentations so you don’t have to

Brett Jepson; Kaitie Lawson

Source category: Data Visualizations & Graphics

Author collections: Brett Jepson

PharmaSUG · 2017Paper AD02PharmaSUG 2017

Automated Generation of Clinical Study Reports using SAS® and RTF (Literate programming)

Rajaram Venkatesan; Julien Sauser; Carlos Antonio De Castro

Source category: Applications Development

Author collections: Rajaram Venkatesan

PharmaSUG · 2017Paper BB20PharmaSUG 2017

Automating Title and Footnote Extraction Using Visual Basic for Applications (VBA) and SAS”

Tony Cardozo

Source category: Beyond the Basics

Author collections: Tony Cardozo

PharmaSUG · 2017Paper SS06PharmaSUG 2017

Awareness from Electronic Data Submission to PMDA and FDA — Lesson & Learnt from hands-on experiences —

Yuichi Nakajima; Takashi Kitahara; Ryan Hara

Source category: Submission Standards

Author collections: Yuichi Nakajima · Takashi Kitahara · Ryan Hara

PharmaSUG · 2017Paper QT09PharmaSUG 2017

Basic SDTM House-Keeping

Emmy Pahmer

Source category: Quick Tips

Author collections: Emmy Pahmer

PharmaSUG · 2017Paper CP07PharmaSUG 2017

Becoming a Successful Manager of SAS® Programmers from an Ex-Programmer’s Perspective

Christine Young

Source category: Career Planning

PharmaSUG · 2017Paper MS09PharmaSUG 2017

Beyond “Just fix it!” Application of Root Cause Analysis Methodology in SAS® Programming.

Nagadip Rao

Source category: Management & Support

Author collections: Nagadip Rao

PharmaSUG · 2017Paper BB21PharmaSUG 2017

Beyond IF THEN ELSE: Techniques for Conditional Execution of SAS® Code

Josh Horstman

Source category: Beyond the Basics

Author collections: Josh Horstman

PharmaSUG · 2017Paper DV08PharmaSUG 2017

Bird’s eye view of the data, a graphical exploration!

Hrideep Antony

Source category: Data Visualizations & Graphics

Author collections: Hrideep Antony

PharmaSUG · 2017Paper AD08PharmaSUG 2017

Building a Better Dashboard Using SAS® Base Software

Kirk Paul Lafler; Josh Horstman; Roger Muller

Source category: Applications Development

Author collections: Kirk Paul Lafler · Josh Horstman · Roger Muller

PharmaSUG · 2017Paper IB07PharmaSUG 2017

Building a Fast Track for CDISC: Practical Ways to Support Consistent, Fast and Efficient SDTM Delivery

Steve Kirby; Mario Widel; Richard Addy

Source category: Industry Basics

Author collections: Steve Kirby · Mario Widel · Richard Addy

PharmaSUG · 2017Paper TT02PharmaSUG 2017

Building Intelligent Macros: Using Metadata Functions with the SAS® Macro Language

Art Carpenter

Source category: Techniques & Tutorials

Author collections: Art Carpenter

PharmaSUG · 2017Paper PO01PharmaSUG 2017

CDISC Compliant NCA PK Parameter Analysis When Using Phoenix® WinNonlin®

Renfang Hwang

Source category: Posters

PharmaSUG · 2017Paper AD20PharmaSUG 2017

Challenge for Dramatic Streamlining of TLFs Creation Process with SAS and Java

Yohei Takanami; Fumihiro Yamasaki

Source category: Applications Development

PharmaSUG · 2017Paper PO10PharmaSUG 2017

Charting Your Path to Using the “New” SAS® ODS and SG Graphics Successfully – Interactively Generate the Code

Roger Muller

Source category: Posters

Author collections: Roger Muller

PharmaSUG · 2017Paper TT06PharmaSUG 2017

Check Please: An Automated Approach to Log Checking

Richann Watson

Source category: Techniques & Tutorials

Author collections: Richann Watson

PharmaSUG · 2017Paper DA06PharmaSUG 2017

Check Your Data: Tools for Automating Data Assessment

Paul Stutzman

Source category: Data Integrity

Author collections: Paul Stutzman

PharmaSUG · 2017Paper DS18PharmaSUG 2017

Clarifications About ADaM Implementation Provided in ADaMIG Version 1.1

John Troxell

Source category: Data Standards

Author collections: John Troxell

PharmaSUG · 2017Paper DA05PharmaSUG 2017

Clinical and Vendor Database Harmony; Can’t we all just get along?

Brian Armstrong; Renee Kerwin

Source category: Data Integrity

PharmaSUG · 2017Paper BB18PharmaSUG 2017

Clinical Data Visualization using TIBCO Spotfire® and SAS®

Ajay Gupta

Source category: Beyond the Basics

Author collections: Ajay Gupta

PharmaSUG · 2017Paper TT08PharmaSUG 2017

Clinical Trials Data: It’s a Scary World Out There! or Code that Helps You Sleep at Night

Scott Horton

Source category: Techniques & Tutorials

Author collections: Scott Horton

PharmaSUG · 2017Paper PO07PharmaSUG 2017

ClinicalTrials.gov Results: an End of Study Deliverable That Should Be Considered at Study Startup

Maya Barton; Elizabeth Paynter

Source category: Posters

PharmaSUG · 2017Paper SP05PharmaSUG 2017

Combining Survival Analysis Results after Multiple Imputation of Censored Event Times

Jonathan L Moscovici; Bohdana Ratitch

Source category: Statistics & Pharmacokinetics

Author collections: Jonathan L Moscovici

PharmaSUG · 2017Paper QT16PharmaSUG 2017

Common mistakes by programmers & Remedies

Sairam Veeramalla

Source category: Quick Tips

PharmaSUG · 2017Paper DS15PharmaSUG 2017

Common Programming Errors in CDISC data

Sergiy Sirichenko

Source category: Data Standards

Author collections: Sergiy Sirichenko

PharmaSUG · 2017Paper DS12PharmaSUG 2017

Considerations and Conventions in the Submission of the SDTMIG Tumor and Response Domains

Jerry Salyers; Fred Wood

Source category: Data Standards

Author collections: Jerry Salyers · Fred Wood

PharmaSUG · 2017Paper DS14PharmaSUG 2017

Considerations in Submitting Standardized Electronic Data Under the Animal Rule: The Use of Domains in the SDTMIG and the SENDIG

Fred Wood

Source category: Data Standards

Author collections: Fred Wood