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PharmaSUG Papers ArchivePage 39

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

2,664 papers · Showing 1521–1560

PharmaSUG · 2019Paper DS-185PharmaSUG 2019

Leveraging Intermediate Data Sets to Achieve ADaM Traceability

Yun (Julie) Zhuo

Source category: Data Standards

Author collections: Yun (Julie) Zhuo

PharmaSUG · 2019Paper BP-029PharmaSUG 2019

Lit Value Locator: An efficient way to pinpoint data.

Varunraj Khole

Source category: Programming Techniques

PharmaSUG · 2019Paper ST-058PharmaSUG 2019

Logistic and Linear Regression Assumptions: Violation Recognition and Control

Deanna Schreiber-Gregory; Karlen Bader

Source category: Statistics and Analytics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

PharmaSUG · 2019Paper ST-325PharmaSUG 2019

Machine Learning Approaches to Identify Rare Diseases

Xuan Sun; Ruohan Wang

Source category: Statistics and Analytics

Author collections: Xuan Sun · Ruohan Wang

PharmaSUG · 2019Paper BP-194PharmaSUG 2019

Macro Templates – Industry Specific SAS® Programming Standardization

Tabassum Ambia

Source category: Programming Techniques

Author collections: Tabassum Ambia

PharmaSUG · 2019Paper SS-306PharmaSUG 2019

Making Lab Toxicity Tables Less Toxic on Your Brain

Lindsey Xie; Jinlin Wang; Jennifer Sun; Rita Lai; Richann Watson

Source category: Submission Standards

Author collections: Lindsey Xie · Jinlin Wang · Richann Watson

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

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

PharmaSUG · 2019Paper AP-241PharmaSUG 2019

Minimally Invasive Surgery to Merge Data

Paul Hamilton

Source category: Advanced Programming

Author collections: Paul Hamilton

PharmaSUG · 2019Paper DS-239PharmaSUG 2019

More Traceability: Clarity in ADaM Metadata and Beyond

Wayne Zhong; Richann Watson; Daphne Ewing; Jasmine Zhang

Source category: Data Standards

Author collections: Wayne Zhong · Richann Watson · Daphne Ewing

PharmaSUG · 2019Paper SS-162PharmaSUG 2019

Multiple Studies BIMO Submission Package – A Programmer’s Perspective

Ramanjulu Valluru; Harsha Dyavappa

Source category: Submission Standards

PharmaSUG · 2019Paper SS-134PharmaSUG 2019

Next Innovation in Pharma – CDISC data and Machine Learning

Kevin Lee

Source category: Submission Standards

Author collections: Kevin Lee

PharmaSUG · 2019Paper SS-317PharmaSUG 2019

Non-Clinical (SEND) Reference Guide for Clinical (SDTM) Programmers

Dharmendra Tirumalasetti; Bhavin Busa

Source category: Submission Standards

Author collections: Dharmendra Tirumalasetti · Bhavin Busa

PharmaSUG · 2019Paper DV-276PharmaSUG 2019

Not That Dummy Data

Yuliia Bahatska

Source category: Reporting and Data Visualizations

Author collections: Yuliia Bahatska

PharmaSUG · 2019Paper BP-065PharmaSUG 2019

ODS Magic: Using Lesser Known Features of the ODS statement

Michael Stout

Source category: Programming Techniques

Author collections: Michael Stout

PharmaSUG · 2019Paper AP-038PharmaSUG 2019

One Macro to Produce Descriptive Statistic Summary Tables with P-Values

Rajaram Venkatesan; Harinarayanan Gopichandran

Source category: Advanced Programming

Author collections: Rajaram Venkatesan

PharmaSUG · 2019Paper BP-286PharmaSUG 2019

One More Paper on Dictionary Tables and Yes, I Think it Is Worth Reading

Vladlen Ivanushkin

Source category: Programming Techniques

Author collections: Vladlen Ivanushkin

PharmaSUG · 2019Paper DV-002PharmaSUG 2019

Order, Order! Four Ways To Reorder Variables with SAS®, Ranked by Elegance and Efficiency.

Louise Hadden

Source category: Reporting and Data Visualizations

Author collections: Louise Hadden

PharmaSUG · 2019Paper DS-088PharmaSUG 2019

Pacemaker Guy: De-Mystifying a Business Use Case for SDTM Standard and Medical Device Domains

Carey Smoak; Donna Sattler; Fred Wood

Source category: Data Standards

Author collections: Carey Smoak · Donna Sattler · Fred Wood

PharmaSUG · 2019Paper LD-224PharmaSUG 2019

Pains and Gains in software development – from PoC to Market

Reshma Rajput; Charan Kumar Kuyyamudira Janardhana

Source category: Leadership and Career Development

Author collections: Charan Kumar Kuyyamudira Janardhana

PharmaSUG · 2019Paper DS-344PharmaSUG 2019

Panel Discussion: Medical Devices – Implementation Through Submission

Fred Wood; Carey Smoak; Donna Sattler; Karin Lapann; Mike Lozano; Karl Miller

Source category: Data Standards

Author collections: Fred Wood · Carey Smoak · Donna Sattler · Karin LaPann · Mike Lozano · Karl Miller

PharmaSUG · 2019Paper SS-343PharmaSUG 2019

Panel Discussion: Recent Submission Experiences around the World

Carey Smoak; Kriss Harris; Marianne Caramés; Yi Yang; David Izard; Karin Lapann

Source category: Submission Standards

Author collections: Carey Smoak · Kriss Harris · Marianne Carames · Yi Yang · David Izard · Karin LaPann

PharmaSUG · 2019Paper LD-342PharmaSUG 2019

Panel Discussion: Speaking Data Science, Who is Ready to Listen?

Priscilla Gathoni; David D’attilio; Phil Bowsher; Kevin Lee; Faisal Khan; Yuri Pinzon

Source category: Leadership and Career Development

Author collections: Priscilla Gathoni · Phil Bowsher · Kevin Lee

PharmaSUG · 2019Paper BP-147PharmaSUG 2019

Patient Profile with Color-Coded Track Changes Since Last Review

Himanshu Patel; Jeff Xia

Source category: Programming Techniques

Author collections: Himanshu Patel · Jeff Xia

PharmaSUG · 2019Paper RW-199PharmaSUG 2019

Patterns of risk factors and drug treatments among Hypertension patients

Youngjin Park

Source category: Real World Evidence

Author collections: Youngjin Park

PharmaSUG · 2019Paper BP-079PharmaSUG 2019

Performing Analytics on Free-Text Data Fields: A Programer’s Wurst Nitemare

Michael Rimler; Matt Pitlyk

Source category: Programming Techniques

Author collections: Michael Rimler

PharmaSUG · 2019Paper SS-172PharmaSUG 2019

Pharmacokinetic Parameters for Sparse and Intensive Sampling – Nonclinical and Clinical Studies

Shallabh Mehta

Source category: Submission Standards

Author collections: Shallabh Mehta

PharmaSUG · 2019Paper DV-349PharmaSUG 2019

Power Up Your Reporting Using the SAS® Output Delivery System

Chevell Parker

Source category: Reporting and Data Visualizations

Author collections: Chevell Parker

PharmaSUG · 2019Paper SS-056PharmaSUG 2019

Practical Guidance for ADaM Dataset Specifications and Define.xml

Jack Shostak

Source category: Submission Standards

Author collections: Jack Shostak

PharmaSUG · 2019Paper DS-196PharmaSUG 2019

Practical Guide for Creating ADaM Datasets in Cross-over Studies

Neha Sakhawalkar; Kamlesh Patel

Source category: Data Standards

Author collections: Neha Sakhawalkar · Kamlesh Patel

PharmaSUG · 2019Paper ST-176PharmaSUG 2019

Practical Perspective in Sample Size Determination

Bill Coar

Source category: Statistics and Analytics

Author collections: Bill Coar

PharmaSUG · 2019Paper AP-157PharmaSUG 2019

Practices in CDISC End-to-End Streamlined Data Processing

Chengxin Li

Source category: Advanced Programming

Author collections: Chengxin Li

PharmaSUG · 2019Paper ST-321PharmaSUG 2019

PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements

Qinlei Huang; Radha Railkar

Source category: Statistics and Analytics

Author collections: Qinlei Huang

PharmaSUG · 2019Paper AP-143PharmaSUG 2019

PROC SORT (then and) NOW

Derek Morgan

Source category: Advanced Programming

Author collections: Derek Morgan

PharmaSUG · 2019Paper BP-061PharmaSUG 2019

Proc Sort Revisited

Alex Chaplin

Source category: Programming Techniques

PharmaSUG · 2019Paper AP-290PharmaSUG 2019

PROC SQL to the Rescue: When a Data Step Just Won’t Do Anymore

John O’Leary

Source category: Advanced Programming

Author collections: John O’Leary

PharmaSUG · 2019Paper SS-217PharmaSUG 2019

Process optimization for efficient and smooth e-data submissions to both FDA and PMDA

Eri Sakai; Malla Boda; Akari Kamitani; Yoshitake Kitanishi

Source category: Submission Standards

Author collections: Akari Kamitani · Yoshitake Kitanishi

PharmaSUG · 2019Paper BP-340PharmaSUG 2019

Programmatically mapping source variables to output SDTM variables based upon entries in a standard specifications Excel file

Frederick Cieri; Rama Arja; Zev Kahn; Ramesh Karuppusamy

Source category: Programming Techniques

Author collections: Frederick Cieri

PharmaSUG · 2019Paper SS-027PharmaSUG 2019

Progression-Free Survival (PFS) Analysis in Solid Tumor Clinical Studies

Na Li

Source category: Submission Standards