R/Medicine

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Schedule

Thursday, August 27 | 11:00 AM – 7:00 PM EDT
Short Courses

11:00 – 15:00101: Intro to R for Clinicians
Stephan Kadauke, Amrom Obstfeld, Joe Rudolf
15:00 – 19:00201: Intro to Machine Learning with Tidymodels
Alison Hill

Thank you for your interest in these courses. Registration is now closed. Both courses will be available via replay after their conclusion.

Friday, August 28 | 11:00 AM – 7:20 PM EDT

11:00 – 11:15Opening Remarks
Stephan Kadauke
11:15 – 12:15Keynote: Beyond Sample Splitting: Valid Inference while ‘Double Dipping’
Daniela Witten
12:15 – 12:30Break / Chat with Keynote Speaker
12:30 – 12:50Reporting Clinical Trial Data and Analyses with the {listdown} Package
Michael Kane
12:50 – 13:10Using R to Detect Outliers and Anomalies in Clinical Trial Data
Steven Schwager
13:10 – 13:30tidyCDISC: an Open Source Platform in R to Analyze Clinical Trial Data
Maya Gans, Marly Gotti
13:30 – 14:00Birds of a Feather Sessions
+ R in Clinical Trials
+ R in the Clinical Laboratory (with support from AACC and MSACL)
+ R in Medical Education
+ R in Omics Research
+ Automating Data Cleaning
14:00 – 15:00Keynote: A Glimpse into the Future
Robert Gentleman
15:00 – 15:15Break / Chat with Keynote Speaker
15:15 – 15:35Reproducible Computation at Scale with {drake}
Will Landau
15:35 – 15:45Reproducible RStudio Projects with Docker, Packages Snapshots and Packrat
Vincent Major
15:45 – 15:55Reproducible Notebooks with {holepunch}
Karthik Ram
15:55 – 16:05Rapid Analysis and Presentation of Quality Improvement Data with R
John MacKintosh
16:05 – 16:25Building a Radiology Workflow Manager from Scratch with R
Anton Becker
16:25 – 16:40Break
16:40 – 17:00Build Your Own Universe: Scale High-quality Research Data Provisioning with R Packages
Travis Gerke, Garrick Aden-Buie
17:00 – 17:10{ggconsort}: Toward Programmatic, Reproducible CONSORT Diagrams with ggplot2
Peter Higgins
17:10 – 17:30Publication-Ready Summary Tables with the {gtsummary} Package
Daniel Sjoberg, Karissa Whiting
17:30 – 17:40{nDSPA}: An R Package for Quality Metrics, Preprocessing, Visualization, and Differential Testing Analysis of Spatial Omics Data
Riyue Bao
17:40 – 18:00A Bayesian Hyperparameter Tuning Algorithm for Clinical Healthcare Models Built with {sparklyr}
Neil Dixit, Johnathon Armstrong
18:00 – 18:10{treeheatr}: an R package for Interpretable Decision Tree Visualizations
Trang Le
18:10 – 18:20Processing Clinical Trial Analysis Data with the {forceps} Package
Michael Kane
18:20 – 19:20Birds of a Feather Sessions
+ R/Medicine Ladies
+ Clinical Predictive Modeling and Decision Support
+ Shiny and Dashboards
+ Virtual Happy Hour

Saturday, August 29 | 11:00 AM – 6:30 PM EDT

11:00 – 12:00Keynote: From Cancer to COVID: Scale and Agility in Global Health Research using R
Ewen Harrison
12:00 – 12:20Panel Discussion:  R U Ready? Making Sense of Healthcare Data Together
Anastasiia Zharinova, Thomas Jemmett, Alysia Dyke, Chris Beeley, Zoë Turner
12:20 – 12:35Break / Chat with Keynote Speaker and Panel
12:35 – 12:45Reproducible Data, Reproducible Analyses: a Model for Clinical Laboratory Data Use
Stephen Master
12:45 – 13:05Learning Iteratively, Learning Collaboratively: Lessons from a Rapid-deployment Data Education Webinar Series during COVID-19
Cass Wilkinson Saldaña
13:05 – 13:25Data is Not Neutral: Biomedical Data, White Supremacy, and What You Can Do
K. Joy Payton, Paulette McRae
13:25 – 13:45The MD in .rmd: Teaching Clinicians Data Analytics with R
Ted Laderas
13:45 – 13:55Using R to Produce Clinical Reports in the Patient Record
Daniel Holmes
13:55 – 14:25Birds of a Feather Sessions
+ Imaging Analysis
+ Minorities in R/Medicine (with support from MiR Community)
+ Reproducible Research, Reproducible Workflows
+ COVID19 Research
+ Geospatial Mapping
14:25 – 14:45Productionising Machine Learning and Shiny in Healthcare Settings – a Case Study of a Project Looking at Predicting Non-attendance at Clinic
Chris Beeley
14:45 – 15:05 REAdi Tool: Using Shiny as a Tool for Real World Evidence Evaluation
Brennan Beal, Beth Devine
15:05 – 15:25An Open Source ANOVA and Power Analysis Tool Made in R/Shiny
Marly Gotti, Jake Gagnon
15:25 – 15:45Calculating Nationwide Access Metrics for Treatment of Opioid Use Disorder
Angela Li, Marynia Kolak
15:45 – 16:00Break
16:00 – 17:00Keynote: Increasing Access to COVID-19 Testing with Open Source Tools
Patrick Mathias
17:00 – 17:15Break / Chat with Keynote Speaker
17:15 – 17:35How Many Patients Must Have Different Outcomes to Change your Inference? Assessing Clinical Uncertainty in Randomized Controlled Trials during COVID-19
Ken Frank, Spiro Maroulis
17:35 – 17:45Using R to support COVID response at the health system
Corey Fritsch
17:45 – 17:55pammtools: Survival Analysis using Generalized Additive Mixed Models
Andreas Bender
17:55 – 18:05Closing Remarks
Stephan Kadauke

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