PSI 2023 Conference
We are pleased to announce that we have submitted 3 abstracts for PSI 2023 Conference, in London. We are curious to see which ones you find interesting. Please visit our LinkedIn page and join the conversation about these abstracts.
Data Visualization: A Useful Tool in the Assessment of Multiple Endpoints in Ultrarare Diseases
by Hanna-Liza Jooste
It has been proposed that a disease is considered to be ultrarare when it affects fewer than 20 patients in a population of 1 million. As a result, several challenges arise when conducting a clinical trial in these diseases, one of them being the choice of one primary outcome. Ultrarare disease impairments are sometimes multidimensional and there is still a limited understanding of disease pathology, disease progression, and variability in disease presentation, making it difficult to prove efficacy. Additionally, there is also still a lack of established endpoints, and early-stage trials must poke at every possible biomarker, gene marker, or laboratory marker. Facing all these challenges, how does a biostatistician go to work to show optimal results based on a small number of patients but many endpoints?
This poster will show how data visualization can be an effective tool when multiple quantitative variables must be assessed at one glance. Radar graphing is widely known, but it is under-utilized in my opinion, for reasons unknown. It is a useful way to present many independent variables in a single graphical display, even if these variables have different measurement scales. This poster will show how radar graphing can be used to illustrate the change in patient profiles over time.
Achieving Medical Precision: Calibrating Machine Learning Models for Spot-on Disease Prediction
by Javier Rodriguez Soto
Man vs Machine: Why the “Subjective” Human Brain is not Obsolete in Statistical Analysis
by Mariska Burger