R/Medicine 2019

September 12-14 2019, Boston, MA

Brought to you by the Yale School of Public Health Biostatistics Department and the R Consortium


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.

Key Dates

Milestone Date
Abstracts are due End of day July 10, 2019
Notification of abstracts selected via email August 1, 2019
Registration closes September 13, 2019
Tutorials and Welcome Mixer September 12, 2019
Keynotes, Talks, and Roundtable Discussions September 13 - 14, 2019


The Omni Parker Hotel, 60 School Street, Boston, MA 06510

Book Your Room Here

Registration and Pricing

Register For the Conference Here


Registration Type Price
Student $150
Academic $450
Industry $550


Thursday, September 12, 2019 (Parallel Workshops and Opening Reception)

Time Speaker Affiliation Title
1:00 - 5:00 Alison Hill RStudio R Markdown for Medicine
1:00 - 5:00 Beth Atkinson Mayo Clinic Wrangling survival data
5:30- 7:00 Opening Reception

Friday, September 13, 2019

Time Speaker Affiliation Title
7:30 - 8:30 (Breakfast)
8:30 - 8:45 Michael Kane Yale University Opening Remarks
8:45 - 9:45 Terry Therneau Mayo Clinic Keynote: Using multi-state models and absolute risk in clinical research
9:45 - 10:10 (Break)
10:10 - 10:30 Timothy Tsai Marcus Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School Analytic memos for reproducible research using R/Rmarkdown
10:30 - 10:50 Fan Chen Marcus Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School Dynamic Report in Cohort Study Enrollment Process: Progress Monitor and Quality Control
10:50 - 11:10 Hao Zhu Marcus Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School R Training at Work: How to Introduce R into Your Academic Research Group
11:10 - 11:30 Thomas Travison Marcus Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School Using R, R Shiny and R Studio in Dissemination of Reproducible Biomedical Research
11:30 - 1:00 (Lunch)
1:00 - 1:10 Peter Higgins The University of Michigan Why People in the Western US Are Dissatisfied with their Health Insurance
1:10 - 1:20 Rajdeep Brar Northwell Health Automated Identification of Patients with Advanced Illness
1:20 - 1:30 Jordan Gauthier Fred Hutchinson Cancer Research Center Spliny: a Shiny app to explore the use of restricted cubic splines to model non-linear effects
1:30 - 1:40 Laxmi Ghmire Lakes Region General Hospital Tachyarrhythmia in pediatric acute myocarditis is associated with worse hospital outcomes: A report from Kids' Inpatient Database
1:40 - 2:00 Kenneth McLean University of Edinburgh ImpactR: R package for deriving and quantifying impact of biomedical research publications.
2:00 - 3:00 Frank Harrell Vanderbilt University Keynote: R for Clinical Trial Reporting
3:00 - 3:30 (Break)
3:30 - 3:50 Nikolas Krieger The Cleveland Clinic Foundation projects: Facilitating Manuscript-Oriented Workflows for Scientific Teams
3:50 - 4:00 Aaron Conway The University of Toronto spiritR: a workflow to enable direct upload of a clinical trial protocol to clinicaltrials.gov
4:00 - 4:20 Kenneth McLean The University of Edinburgh collaboratoR: An R package for scalable multi-centre research using R and REDCap applications.
4:20 - 4:30 Cameron Fairfield The University of Edinburgh HealthyR Notebooks: Democratising open and reproducible data analysis
4:30 - 4:40 Cameron Fairfield The University of Edinburgh Encryptr: Easy Encryption of Sensitive Data with R
4:40 - 5:00 Samuel Berchuck Duke University The Variational Autoencoder as a Scalable Alternative for Spatiotemporal Data in the Presence of Big Data: With an Application in Glaucoma
5:00 - 6:30 (Reception)

Saturday, September 14, 2019

Time Speaker Affiliation Title
7:30 - 8:30 (Breakfast)
8:30 - 9:30 Rod Hayward The University of Michigan Keynote: Challenging Medical Dogmas with Data: Diabetes, Lipids, Blood pressure and Cardiovascular Risk
9:30 - 9:40 Kaylee Ho Division of Biostatistics, Weill Cornell Medicine Creating Patient Timeline Visualizations with R timevis and plotly
9:40 - 9:50 William Mateus Universidad Nacional de Colombia Interactive visualisation App for the reading and features identification of the electrocardiogram using R and Arduino Leonardo microcontroller
9:50 - 10:10 (Break)
10:10 - 10:30 Steven Schwager Medidata Solutions Using Synthetic Control Arms to Improve Clinical Trials
10:30 - 10:40 Peter Higgins The University of Michigan A Shiny App to Help Differentiate Tuberculosis from Crohn's Disease
10:40 - 11:00 Joseph Chou Massachusetts General Hospital Development of a machine learning model to predict neonatal follow-up bilirubin levels and comparison with clinician performance
11:00 - 11:20 Shanza Ashraf Emory Healthcare A Data-Driven Approach to Exploring and Standardizing Inpatient Diabetes Care across a Healthcare System
11:20 - 11:30 Shea Connell University of East Anglia Using urine to diagnose prostate cancer: developing two multimodal diagnostic models reproducibly within R
11:30 - 12:30 (Lunch)
12:30 - 12:50 Christian Larsen Emory University School of Medicine Integrating clinical data science and systems biology via an R based ecosystem to improve transplant outcomes.
12:50 - 1:00 Katherine Kay Metrum Research Group Improving methods for analysing anti-malarial drug efficacy trials: molecular correction based on length-polymorphic markers msp-1, msp-2 and glurp.
1:00 - 1:10 Tobin Turner George E. Wahlen Veterans Health Administration; Division of Epidemiology, VERITAS, University of Utah Innovation adoption in US hospitals and corresponding performance outcomes: a story of (misaligned?) patient and hospital benefits
1:10 - 1:20 Chunyang Li George E. Wahlen Veterans Health Administration; Division of Epidemiology, VERITAS, University of Utah Predicting Survival in Veterans with Follicular Lymphoma using Electronic Healthcare Record Data and Machine Learning
1:20 - 2:20 Donna Spiegelman Yale University Keynote: The case for SAS as the go-to tool for statistical analysis of funded research (if only they’d lower the price...)
2:20 - 2:50 (Break)
2:50 - 3:10 Hojjat Salmasian Harvard Medical School / Brigham and Women's Hospital But my patients are sicker!
3:10 - 3:30 Sam Abbott University of Bristol getTBinR: an R package for accessing and summarising the World Health Organization Tuberculosis data
3:30 - 3:50 Yan Gao The Division of Epidemiology and Biostatistics, University of Illinois at Chicago Integrative Analysis and Visualization of Cancer Genomic Data in Cloud
3:50 - 4:00 Michael Kane Yale University Closing Remarks


If you are interested in sponsoring the conference, you may either contact us at r-medicine@protonmail.com or you can register as a sponsor. Sponsorship price is $5,000 and includes a ticket to the conference, a table at the conference furnished with chairs and power setup in a location that will attract traffic, and your corporate logo listed on the conference website and conference program. In addition, sponsors will be given a five minute talk during the sponsor session to describe your company and discuss your work.

R/Medicine 2018


  • Mara Alexeev, Memorial Sloan Kettering

  • 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 r-medicine@protonmail.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.