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R for Graphical Clinical Trial Reporting

Talkat rstudio::conf 2019 · 2019-01-15..01-18· [data-visualization]
slides:none on file

HTML clinical-trial reports are generated with an hreport workflow built on R, RMarkdown, knitr, plotly, Hmisc and HTML5 and replace bulky tables with hover text that shows numerator/denominator detail on demand. High-level functions produce accrual, exclusion, descriptive, adverse-event, time-to-event and longitudinal sections; captions and navigation are auto-generated. Continuous outcomes use dense histograms (typically 100 or 200 bins) plus quantiles and means; Kaplan–Meier displays show a continuous number at risk as a function of time and traces can be toggled interactively.

AI-written summary · about

  1. 0:00Intro
  2. 0:38Full Interactivity
  3. 1:48R Software: plotly Package
  4. 2:33New plotly Graphics Functions in Hmisc and rms Packages
  5. 4:01High-Level Abstractions
  6. 4:55Some Standard RCT Report Components
  7. 5:31RCT Report Philosophy
  8. 6:13Philosophy, continued
  9. 6:55R Packages greport (PDF) and hreport (HTML)
  10. 8:24High-Level Functions, continued
  11. 8:51New HTML Model: hreport Package
  12. 10:25Example Closed Meeting Data Monitoring Con Report
  13. 11:58Accrual
  14. 13:39Baseline Variables
  15. 17:21Incidence of Adverse Events at Any Follow-up
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