R is a freely available open-source programming language and a powerful statistical computing environment that is extremely popular among statisticians and data scientists. R is ideally suited for building customized applications for clinical operations, however many (real and perceived) hurdles exist in operationalizing R in healthcare in general, and in the labs in particular. This session is hosted by the organizers of R/Medicine, an annual conference aiming to promote the R ecosystem in clinical research and practice. This will be a highly interactive session aimed to share insights and experiences both of the discussants and participants, with the aim of facilitating the integration of the R ecosystem into clinical laboratory practice.
Hosted by R/Medicine
Panelists:
Stephan Kadauke, Assistant Professor of Pathology and Laboratory Medicine at the Children’s Hospital of Philadelphia, Chair of R/Medicine 2020
Michael Kane, Assistant Professor of Biostatistics at Yale University School of Public Health, past Chair of R/Medicine
Joseph Rickert, R Consortium, and RStudio, PBC
Lindsay Bazydlo, Associate Clinical Professor of Pathology, University of Virginia
Shannon Haymond, Associate Professor of Pathology, NorthWestern University
