Conference Schedule
Tuesday, August 24th | 11:00 - 18:00 EDT | Short Courses
11:00 - 14:00
Short Course: Secure Medical Data Collection: Best Practices with Excel, and Leveling Up to REDCap and CollaboratoR
Peter Higgins
Will Beasley
Kenneth MacLean
Amanda Miller
15:00 - 18:00
Short Course: Introduction to R for Medical Data
Ted Laderas
Daniel Chen
Mara Alexeev
15:00 - 18:00
Short Course: An Introductory R Guide for Targeted Maximum Likelihood Estimation in Medical Research
Ehsan Karim
Hanna Frank
Wednesday, August 25th | 11:00 - 19:00 EDT | Short Courses | Poster Session
11:00 - 14:00
Short Course: Mapping Spatial Health Data
Marynia Kolak
Susan Paykin
14:10 - 15:20
15:30 - 18:30
Short Course: From SAS to R
Joe Korszun
15:30 - 19:00
Short Course: Reproducible Research with R
Alison Hill
Stephan Kadauke
Paul Villanueva
Thursday, August 26th | 11:00 - 19:30 EDT
11:00 - 11:13
Opening Remarks
Peter Higgins
11:15 - 12:15
12:17 - 12:30
Break
12:32 - 12:42
12:43 - 12:53
{DOPE}: An R Package for Processing & Classifying Drug Names
Layla Bouzoubaa
12:55 - 13:15
An {arsenal} of R Functions for Statistical Summaries
Ethan Heinzen
Beth Atkinson
Jason Sinnwell
13:17 - 13:27
13:29 - 13:39
13:41 - 14:11
Birds of a Feather Sessions
14:11 - 14:31
14:33 - 14:53
{GENETEX}: A GENomics Report TEXt Mining R Package to Capture Real-world Clinico-genomic Data
David Miller
Sophia Shalhout
14:55 - 15:05
Incorporating Risk-of-Bias Assessments into Evidence Syntheses with {robvis}
Luke McGuinness
Randall Boyes
Alex Fowler
15:07 - 15:27
Bayesian Random-Effects Meta-analysis using {bayesmeta}
Christian Röver
15:29 - 15:44
Break
15:46 - 15:56
{gpmodels}: A Grammar of Prediction Models
Sean Meyer
Karandeep Singh
15:58 - 16:18
Multistate Data Using the {survival} Package
Beth Atkinson
16:20 - 16:30
16:32 - 16:52
Assessing ML Model Performance in Diverse Populations and Across Time
Victor Castro
Roy Perlis
16:54 - 17:04
{runway}: An R Package to Visualize Prediction Model Performance
Jie Cao
Karandeep Singh
17:06 - 17:36
Birds of a Feather Sessions
17:38 - 17:58
Scaling Up and Deploying Shiny and Text Mining for National Health Decisions
Andreas Soteriades
Chris Beeley
18:00 - 18:10
Stem Cell Transplant Outcomes Reporting using R/Shiny
Richard Hanna
Stephan Kadauke
18:12 - 18:32
18:34 - 18:54
Shiny and REDCap for a Global Research Consortium
Judith Lewis
Stephany Duda
18:56 - 19:16
{ReviewR}: A Shiny App for Reviewing Clinical Records
Laura Wiley
David Mayer
19:18 - 19:28
Closing Remarks Day 1
Stephan Kadauke
Friday, August 27th | 10:50 - 18:00 EDT
10:50 - 11:00
Welcome to Day 2
Peter Higgins
11:00 - 12:00
Keynote Presentation: Dissecting Algorithmic Bias
Ziad Obermeyer
12:00 - 12:20
Break
12:22 - 12:42
{clinspacy}: An R Package for Clinical Natural Language Processing
Jie Cao
Karandeep Singh
12:44 - 12:54
{medicaldata} for Teaching #Rstats
Peter Higgins
12:56 - 13:11
Break
13:13 - 13:33
CONSORT Diagrams in R with {ggconsort}
Travis Gerke
13:35 - 13:45
{ctrialsgov}: Access, Visualization, and Discovery of the ClinicalTrials.gov Database
Taylor Arnold
13:47 - 14:07
14:09 - 14:29
14:31 - 14:41
14:41 - 15:01
Birds of a Feather Sessions
15:03 - 15:23
Graphical Displays in R for Clinical Trials
Steven Schwager
15:25 - 15:35
15:37 - 15:57
15:59 - 16:09
16:11 - 16:21
Creating and Styling PPTX Slides with {rmarkdown}
Emil Hvitfeldt
16:23 - 16:38
Break
16:40 - 17:00
R Markdown and {officedown} to Automate Clinical Trial Reporting
Damian Rodziewicz
17:02 - 17:22
17:22 - 17:42
17:44 - 17:54
Closing Remarks for Day 2
Stephan Kadauke