Using Metadata for Speedy Delivery
Summary: In this R Adoption Series Webinar, the R Consortium invited two Pharmaceutical organizations to share their experience in leveraging metadata for automation pieces of the clinical delivery workflow. This session starts with Christina Fillmore using Open Source R packages {metacore} and {metatools} for creating metadata objects and enhancing columns in existing datasets. Following Christina, Yujie Zhao and Keaven Anderson will discuss {metalite} which is used to define a unified data structure to save metadata information for analysis & reporting (A&R) based on ADaM datasets in clinical trial development. The last section of the event will be focused on answering questions about leveraging metadata in the delivery pipeline and soliciting other ways to use metadata to enhance current processes
Speakers
Christina Fillmore, Data Scientists and R developer at GSK.
Christina Fillmore formally trained as a statistician, over her 5 years at GSK has transitioned into a data scientist. Her focus is on open source package development in a regulated environment. She also has a keen interest in helping others develop R skills and become confident R programmers. She leads the development of metacore, metatools, and tfrmt as part of the Pharmaverse collaboration
Yujie Zhao is a Senior Scientist (Biostatistics) at Merck & Co., Inc.
Yujie Zhao is a Senior Scientist (Biostatistics) at Merck & Co., Inc. She is a member of the methodology research group focusing on group sequential design, multiplicity, etc. She is also the developer and maintainer of serval R packages, like non-proportional hazard (gsDesign2, simtrial), and metadata analysis (metalite, metalite.ae). Before she joined Merck, she got her Ph.D. degree in Industrial Engineering from Georgia Tech.
Keaven Anderson, Scientific Assistant VP of Methodology Research in the Biostatistics and Clinical Research Decision Sciences group at Merck.
Keaven Anderson is the Scientific Assistant VP of Methodology Research in the Biostatistics and Clinical Research Decision Sciences group at Merck for those in North America or MSD in the rest of the world. He is a Fellow of the ASA and has a long interest in clinical research design as well as related software. He is the primary author and maintainer of the gsDesign R package and related packages for group sequential design.
Ben Arancibia, Data Scientist – Senior Manager At GSK
Ben Arancibia is a Director of Data Science with 11+ years of technology driven solutions experience in the public, private, and social sector. He has a track record of producing thoughtful, high-quality advanced analytical work on highly visible engagements that are typically subjected to scrutiny by C-suite executives, board members and major stakeholders. Considerable experience in implementing data science solutions, either in the form of transformational efforts in data science strategy, new market entry or new business model development; to more tactical changes, such as machine learning optimization, data visualization improvements, technology platform development, system integration, and operational risk analysis.
The R Adoption Series
This is a new series of webinars focused on the adoption of R. Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions.
R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at info@r-consortium.org.