IMSCO, Lake Tahoe, Nevada (2019).
I had the pleasure to present my work on OncoCast at the International Symposium on Mathematical and Computational Oncology (IMSCO) in 2019. My talk summarised the delayed entry issue found in genomic survival dataset and how I modified well known machine learning algorithms to account for this bias. Further explaining the underlying mechanisms of the ensemble learning framework of OncoCast, simulation results and a real data example. Slides can be found below:
- Download my presentation.
Axel S. Martin
Research Biostatistician
My research interests include high-dimensional time-to-event data prediction and stratification in cancer genomics, lately I have also developed an interest in causal inference and individualized treatment rules.