Video-on-Demand Library

11 September 2024

Many cancer trials use the progression free survival as primary outcome measure, i.e. the length of time that a patient lives on without worsening of the disease. Various reasons can lead to censoring of the data. And differential censoring could influence the interpretation of the results. Paolo Eusebi presents visualisations that help to explore the pattern of events and reasons for censoring. Visualisations are available on the Wonderful Wednesday blog.

The basic plot for progression free survival is the survival plot using Kaplan-Meier estimates. Augmented with information on censoring this gives a great overview. An innovative way of displaying events and censoring is by stacked lollipop plot. See the panel discussing pros and cons. The next challenge is about visualising dose response in subgroups for personalized dosing. See the Wonderful Wednesday homepage for more detail.

Wonderful Wednesdays are brought to you by the Visualisation SIG. The Wonderful Wednesday team includes: Bodo Kirsch, Zachary Skrivanek, Lorenz Uhlmann, Steve Mallett, Rhys Warham, Mark Baillie, Paolo Eusebi, Martin Brown, Benjamin Lang

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