December 09th, 2020. The current example data set is focusing on prediction models. The example data set is based on a retrospective study on finding "Predictors of Residual Tumor in Breast-Conserving Therapy".
For more on PSI and wonderful wednesdays see https://www.psiweb.org/sigs-special-interest-groups/visualisation/welcome-to-wonderful-wednesdays
The data visualization special interest group (VIS SIG) was recently founded under the umbrella of EFSPI and PSI. Learn more about the VIS SIG.
The SIG is happy to introduce a new initiative called “Wonderful Wednesdays”. This initiative will provide the participants to not only learn theoretically about visualisation principles but also apply them to relevant examples from the field of healthcare and the development of new therapies.
Inspired by 'Makeover Monday' and 'Tidy Tuesday', we will present on a monthly basis a data set reflecting the properties of a usual data set from a clinical trial or some other relevant study. This data set will come along with a visualization.
Now the audience has the ability to improve the visualization and submit the updated visualization (along with the code) to receive feedback from the SIG members. Both, the presentation of the dataset and the visualization as well as the feedback will be given in webinars. These 60 minutes webinars will occur every 2nd Wednesday of the month at 5pm CET.
You will be able to submit your improvements for feedback via a google form on the homepage of the SIG after the first webinar. These submissions need to include code (which is well documented and executable) as well as the file of the visualization itself.
We will make the submissions available to the community together with highlights of the strength and limitations through our blog. Over time, this will lead to a gallery of visualizations for others to learn from.
Presented on December 09th, 2020. For this webinar, we introduce the challenge of visualizing a prediction model. The example data set is based on a retrospective study on finding "Predictors of Residual Tumor in Breast-Conserving Therapy".
The purpose of this challenge is to visualize the results of your prediction model. How can you show which predictors are the "most important" ones and how can the effect of these predictors be presented?
Submit your visualisations here!
January 13th, 2021.
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PASI over time. Presented on March 11th, 2020.
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Survival / time to event. Presented on April 7th, 2020.
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Subgroup data. Presented on May 14th, 2020.
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Haemoglobin in Anaemia. Presented on June 10th, 2020.
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COPD dataset. Presented on July 8th, 2020.
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Adverse events dataset. Presented on August 12th, 2020.
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Adverse events dataset II. Presented on September 9th, 2020.
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Mediation analysis dataset. Presented on October 14th, 2020.
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Meta-analysis data set. Presented on November 11th, 2020
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Prediction data set. Presented on December 09th, 2020
NOTE to download a single data set as a csv file, click on the raw button and save the file. The following link describes the process in further detail.