To give you an update, I’ll be sharing with you what I have learned from the past year about visualization as I worked a lot of these – the exploratory and explanatory visualization.

These kinds of visualization helped me a lot to open new doors and made me amazingly easy to stand out from other statisticians.

In this episode, I am sharing the following points:
  • Visualization help you sell your work
    • Easily understandable
    • Easy to stand out
    • Is fun to create
  • Lots of opportunities beyond our usual graphs
    • Showing the variability
    • Showing the individual patients
    • Scatterplots
    • Line graphs
    • Heatmaps
    • Cumulative distribution functions
    • Histograms or fitted density functions
  • Animations to show changes over time
  • Interactivity to showcase subgroups or different endpoints
  • Produce multiple graphs at once for different audiences 
  • and documents

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I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.

I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.

When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.

When my mother is sick, I want her to understand the evidence and being able to understand it.

When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.

I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.

Let’s work together to achieve this.