In our standard graphics, we usually present summary statistics only. The exception is the Kaplan-Meier plot showing also individual patients. Showing individual patients effectively tells us so much more about e.g. clusters, outliers, and extreme values.

Join Benjamin and I while we dive deep into the following points:

Why its important to:

  • Show uncertainty 
  • Show actual number of patients 
  • Give a feeling for the evidence 
  • Connect to the physicians seeing the individual patients 
  • Increase transparency 

How to create:

  • Spaghetti plot
  • Slope graph
  • Using jittering for categorical data or thickness based on the number of patients 
  • Scatterplots
  • Animations over time 
  • Heat maps 
  • Bar charts with symbols for the patients 

Additional features:

  • Highlight the group means 
  • Making it interactive with hover over or filters or selections 
  • Sorting is crucial 
  • Combination with charts displaying group differences 

Solve problems: 

  • Unbalanced treatment groups 
  • Avoid over-cluttered graphs
  • Time to read and explain complex graphs
  • The time needed to create complex graphs
  • Problems obscuring small but meaningful differences

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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.