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ViewAttendees 5

Lunch & Learn

SIG Programming Lunch & Learn: Embracing modern programming tools for pharmacometrics (PMx) dataset creation, review and reporting

Embracing modern programming tools for pharmacometrics (PMx) dataset creation, review and reporting

Tuesday, November 12, 2024
12:30 PM – 2:00 PM MST
Location: Palms 3C

    Chair(s)

  • JS

    Jing Su, MS

    Sr. Director, Statistical Programming
    Merck & Co., Inc.

    Disclosure(s): No financial relationships to disclose

    • Both(s)

  • NT

    Neelima Thanneer, MS

    Executive Director, Head of Data Science and Clin Pharm Analysis & Reporting
    BMS, United States

    Disclosure(s): No financial relationships to disclose

Disclosure(s):
Jing Su, MS: No financial relationships to disclose
Neelima Thanneer, MS: No financial relationships to disclose
Ensuring high-quality data and efficient programming support are essential for successful PMx analysis. With the increasing complexity of data and the growing demand for accelerated drug development, the use of programming tools in PMx has evolved. While SAS remains a primary tool for data creation, there is a rising trend in adopting modern programming tools such as R, R-shiny, Python, and other open-source tools. These tools help to promote CDISC standard and facilitate data review, visualization and reporting of analysis results. This session aims to showcase the benefits and advancements of embracing modern programming tools in PMx data creation, checking and reporting. By integrating these tools, PMx programmers can bridge the gap between traditional approaches and new horizons, resulting in enhanced data quality, improved efficiency, and accelerated drug development.

Learning Objectives:

  • Be aware of different tools to compile and check CDISC-compliant ADPPK dataset • Gain insights into the practical applications, challenges, and opportunities associated with utilizing modern programming tools in data review, exploratory analysis and reporting workflows