R/Medicine Conference 2022

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R/Medicine Conference 2022

August 23-26, 2022 | In-person + Virtual
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11:00am EDT

Enterprise-grade Shiny App Development with {rhino} - Jakub Nowicki Zoom 1 Simply Reproducible: Clinical Reporting with {gtsummary} - Daniel Sjoberg Zoom 2

3:00pm EDT

R/Medicine 101: Intro to R for Clinical Data - Stephan Kadauke, Patrick Mathias, and Joe Rudolf Zoom 1 Using Public Data and Maps for Powerful Data Visualizations - Joy Payton Zoom 2

11:00am EDT

Gene Expression Analysis in R - Siavash Ghaffari Zoom 2 Dashboards with Shiny - Chris Beeley Zoom 2

3:30pm EDT

Analyzing geospatial data in R - Sherrie Xie Zoom 1 Reproducible Medical Research with Quarto - Tom Mock Zoom 1

11:00am EDT

Opening Remarks - Stephan Kadauke Hopin

11:16am EDT

Quarto - JJ Allaire Hopin

12:16pm EDT

12:32pm EDT

Integration of R and Python with web technologies for advanced cloud-based bioinformatics pipelines - Piru Perampalm Hopin

12:54pm EDT

Viewing Multiple Interactive Plots Using Plotly And Trelliscopejs - Jeremy John Selva Hopin

1:06pm EDT

Spatial Health Data with R Shiny and custom reporting feature - Anastasiia Kostiv Hopin

1:28pm EDT

Supercharge Your Quality Improvement Program With Run Charts - Robert Lobato Hopin

2:20pm EDT

Discovering hidden patterns in clinical data with the {vtree} package - Nick Barrowman Hopin

2:42pm EDT

Applied Epi and the Epidemiologist R Handbook: Getting R into the hands of frontline public health responders - Neale Batra Hopin

3:04pm EDT

Extending spatial analysis with R/bioconductor and beyond - Leonardo Collado Torres Hopin

3:26pm EDT

Cleaning, Preparing and Modeling a Medical Kaggle Data Set: Or How I Learned to Stop Worrying about Modeling and Love Tidy Data - Andrew Bland Hopin

3:46pm EDT

4:03pm EDT

A Quart o' {rUM} (Using the {rUM} Package for Reproducible Medical Research) - Raymond Balise Hopin

4:15pm EDT

REDCap Clinical Data Interoperability Services (CDIS): Automating EHR Data Exchange for Clinical Studies and Registries - Paul Harris Hopin

4:37pm EDT

Development and Application of an Immunization Validation Engine Utilizing R to Evaluate Appropriate Completion of Immunization Series Across a Large Primary Care Network - Jeremy Michel Hopin

4:59pm EDT

Summarizing and Predicting Workload for Phlebotomy and Specimen Processing in an Automated Dashboard - Nathan Breit Hopin

5:11pm EDT

Introducing {gtreg}: an R package to produce regulatory tables for clinical research - Shannon Pileggi + Daniel Sjoberg Hopin

5:31pm EDT

5:48pm EDT

Making Swimmer Plots for Longitudinal Data with {ggplot2} - Kat Hoffman Hopin

6:10pm EDT

The {regmed} package for regularized mediation - Jason Sinnwell Hopin

6:32pm EDT

Understanding current trends in drug development using the {ctrialsgov} package - Michael Kane Hopin

6:54pm EDT

R is for Randomization: Complex Randomization of Patients in Clinical Trials - Steven Schwager Hopin

7:16pm EDT

Closing Remarks Day 1 - Stephan Kadauke Hopin

11:00am EDT

Opening Remarks - Beth Atkinson Hopin

11:07am EDT

R Workflow for Reproducible Biomedical Research Using Quarto - Frank Harrell Hopin

12:09pm EDT

12:26pm EDT

Using the {arrow} and {duckdb} packages to wrangle medical datasets that are Larger than RAM - Peter Higgins Hopin

12:48pm EDT

{censored} - A tidymodels package for survival models - Hannah Frick Hopin

1:10pm EDT

Using data and R to deliver evidence-based care for substance use disorders - Asmae Toumi Hopin

1:30pm EDT

1:32pm EDT

Setting a Reproducible R Shiny Project Environment - Marcin Dubel Hopin

1:54pm EDT

It's time for nurses to learn R - Jaclyn Janis Hopin

2:06pm EDT

Modern day public health data and analysis: From theory to practice - Gloria Kang Hopin

2:28pm EDT

ConTESSA: A shiny application to assist with evaluating the impact of COVID-19 test-trace-isolate programs - Lucy D'Agostino McGowan Hopin

2:50pm EDT

Automation of statistics summary and analysis using R shiny - Lihai Song Hopin

3:00pm EDT

3:17pm EDT

Leveraging R for Cancer Informatics Training - Carrie Wright Hopin

3:39pm EDT

Should we Teach Data Science to Physicians-in-Training? - Stephan Kadauke Hopin

4:01pm EDT

RStudio Academy: Treat biomedical data science like a skill to make it stick - Garrett Grolemund Hopin

4:23pm EDT

Tidymodels Approaches to Predicting Severe C diff Infections with Multicenter Cohorts - Allen Lee + Krishna Rao Hopin

4:43pm EDT

5:00pm EDT

R and RShiny for PCR Instrument Communication, Pooling Workflow and Getting Rid of those Nasty Transcriptions - Daniel Holmes Hopin

5:22pm EDT

Unsupervised analyses of spatially-resolved transcriptomics data with {nnSVG} and R/Bioconductor - Luke Weber Hopin

5:44pm EDT

Using Quarto to showcase an ecosystem of open-source R packages for Pharmacometrics - Seth Green Hopin

6:06pm EDT

Closing Remarks for Day 2 - Stephan Kadauke Hopin