The goal of the R/Medicine conference is to promote the use of the R programming environment and the R ecosystem in medical research and clinical practice. R, the open source language for statistical computing and data visualization, has also become an effective tool for enabling reproducible research and the communication of scientific knowledge. In addition to showcasing novel tools, algorithms and methods for analyzing medical and clinical data. We hope the conference will provide a forum for collaboration within the community.
Conference talks will address the use of R in medical applications from Phase I clinical trial design through the analysis of the efficacy of medical therapies in public use. Topic areas for R/Medicine include: clinical trial design, the analysis of clinical trial data, personalized medicine, the analysis of patient records, the analysis of genetic data, the visualization of medical data, and reproducible research.
Note that topics related to drug discovery and PK/PD modeling will likely be the focus of the upcoming R/Pharma conference.
Terry Therneau, Faculty Member, Mayo Clinic
If you are interested in sponsoring the conference, you may either contact us at firstname.lastname@example.org or you can register as a sponsor using the Registration link. Sponsorship price is $4,000 and includes two tickets to the conference, a table at the conference furnished with 2 chairs and power setup in a location that will attract attended traffic, and your corporate logo listed on the conference website and conference program.
Beth Atkinson, Mayo Clinic
Joseph Chou, Harvard University
Denise Esserman, Yale University (Program Chair)
Peter Higgins, The University of Michigan
Michael Kane, Yale University (Conference Chair)
Balasubramanian Narasimhan (Naras), Stanford University
Joseph Rickert, RStudio
Hongyu Zhao, Yale University
Questions, comments, and concerns may be directed to email@example.com
R / Medicine is dedicated to providing a harassment-free conference experience for everyone regardless of gender, sexual orientation, disability or any feature that distinguishes human beings. For more information, please see the R Consortium code of conduct.