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Overview

Short Course* Registration: 7:30-8:30AM


In the never-ending quest to replace tables with graphics, new graphics solutions to common data display problems in clinical trials are becoming more readily available. This short course will focus on high-information graphics that faithfully convey characteristics of data and summary statistics using such tools as extended box plots, dot charts, and spike histograms. With the rapid evolution of HTML5 and html notebooks, new possibilities now exist, and graphics can be less cluttered with more information made available by merely hovering with the mouse or clicking the legend to activate the display of additional data layers.


*Short Courses are not included in the forum registration and require a separate fee.

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Learning objectives

At the conclusion of this short course, participants should be able to: 

  • Discuss principles of graph construction
  • Determine which features of summary statistics should be emphasized in a graph
  • Recognize examples of increasing information using modern graphics, whether static or interactive
  • Understand features of html notebooks for statistical reports
  • Demonstrate how to use RStudio to make html notebooks
  • Exercise new functions in the R Hmisc package which use the R plotly package to produce somewhat interactive graphics
  • Generate ideas for constructing your own interactive graphics for statistical reports by seeing examples of placing supplemental information in initially hidden layers of graphics