Blog Archives

Visualization of Tumor Response – Spider Plots

August 28, 2018
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Visualization of Tumor Response – Spider Plots

A collection of some commonly used and some newly developed methods for the visualization of outcomes in oncology studies include Kaplan-Meier curves, forest plots, funnel plots, violin plots, waterfall plots, spider plots, swimmer plot, heatmaps, circos plots, transit map diagrams and network analysis diagrams (reviewed here). Previous articles in this blog presented an introduction to … Continue reading Visualization...

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Forest Plot (with Horizontal Bands)

July 2, 2016
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Forest Plot (with Horizontal Bands)

Forest plots are often used in clinical trial reports to show differences in the estimated treatment effect(s) across various patient subgroups. See, for example a review. The page on Clinical Trials Safety Graphics includes a SAS code for a forest plot that depicts the hazard ratios for various patient subgroups (this web page has links to

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Manipulate(d) Regression!

May 5, 2016
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Manipulate(d) Regression!

The R package ‘manipulate’ can be used to create interactive plots in RStudio. Though not as versatile as the ‘shiny’ package, ‘manipulate’ can be used to quickly add interactive elements to standard R plots. This can prove useful for demonstrating statistical concepts, especially to a non-statistician audience. The R code at the end of this

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A Visualization of World Cuisines

December 28, 2015
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A Visualization of World Cuisines

In a previous post, we had ‘mapped’ the culinary diversity in India through a visualization of food consumption patterns. Since then, one of the topics in my to-do list was a visualization of world cuisines. The primary question was similar to that asked of the Indian cuisine: Are cuisines of geographically and culturally closer regions

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Celebrating one year of blogging with a word cloud

November 20, 2015
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Celebrating one year of blogging with a word cloud

This month marks the one year anniversary of Design Data Decisions! To celebrate, I decided to do a ‘visual display’ of this blog by creating a word cloud out of articles posted thus far. Using R. This task turned out to be very easy, because of a cool word cloud generator function that I found

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Drug Interaction Studies – Statistical Analysis

September 22, 2015
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Drug Interaction Studies – Statistical Analysis

This post is actually a continuation of the previous post, and is motivated by this article that discusses the graphics and statistical analysis for a two treatment, two period, two sequence (2x2x2) crossover drug interaction study of a new treatment versus the standard. Whereas the previous post was devoted to implementing some of the graphics

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Spaghetti plots with ggplot2 and ggvis

August 19, 2015
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Spaghetti plots with ggplot2 and ggvis

This post was motivated by this article that discusses the graphics and statistical analysis for a two treatment, two period, two sequence (2x2x2) crossover drug interaction study of a new drug versus the standard. I wanted to write about implementing those graphics and the statistical analysis in R. This post is devoted to the different

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Waterfall plots – what and how?

July 23, 2015
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Waterfall plots – what and how?

“Waterfall plots” are nowadays often used in oncology clinical trials for a graphical representation of the quantitative response of each subject to treatment. For an informative article explaining waterfall plots see Understanding Waterfall Plots. In this post, we illustrate the creation of waterfall plots in R. In a typical waterfall plot, the x-axis serves as

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Graphical presentation of data, best practices

June 30, 2015
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Graphical presentation of data, best practices

Show the data, don’t conceal them was the first article from a series of articles published in the British Journal of Pharmacology that deals with the best practices to be followed in statistical reporting. The current set of articles in this series can be obtained at http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291476-5381/homepage/statistical_reporting.htm. “Show the data…” deals with the graphical presentation

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Graphs in R – Overlaying Data Summaries in Dotplots

June 9, 2015
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Graphs in R – Overlaying Data Summaries in Dotplots

Dotplots are useful for the graphical visualization of small to medium-sized datasets. These simple plots provide an overview of how the data is distributed, whilst also showing the individual observations. It is however possible to make the simple dotplots more informative by overlaying them with data summaries and/or smooth distributions. This post is about creating

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