Skip to content

Latest commit

 

History

History
48 lines (44 loc) · 1.77 KB

r-package-assessment-lessons-pharma.md

File metadata and controls

48 lines (44 loc) · 1.77 KB
talk_id talk_slug talk_type talk_tags session_slug sched_url talk_title talk_title_short talk_materials_url speakers
22192
r-package-assessment-lessons-pharma
regular
pharma
process
programming
r-in-pharma
R Package Assessment: Lessons from Pharma
R Package Assessment
name affiliation url username photo bio
Becca Krouse
GSK
webpage twitter github linkedin affiliation
becca_krouse
/assets/img/2022Conf/_talks/22192_becca-krouse.png
Becca Krouse is a Data Science Leader in the Statistics and Data Science Innovation Hub at GSK. She is a biostatistician by training with nearly 12 years of experience working on clinical research.

As R users, we make choices daily about what packages to use in our work. After discovering a package that may suit our needs, we consider its qualities and make a judgement about whether to invest in its use. Here at GSK, we are currently forging a path to using R in regulatory settings, which involves careful curation and assessment of R packages for use on clinical trials data. While this exercise is formalized for those of us in pharma, attendees will learn about how related principles can better inform decisions they make their own workflows, regardless of industry or experience. They will take away specific qualities that indicate trustworthiness, as well as the importance of considering the ecosystem as a whole.