92 posters, 1 audios, 567 authors, 81 institutions
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Data-driven Cancer Research Conference 2026
24-26 February 2026 | Edinburgh, Scotland
P08
Advancements in Survival Analysis with Competing Risks: Benchmarking and Application to Recurrence Prediction in Colorectal Cancer
Poster Presenter
Part of Topic
•Cancer outcomes are inherently competing such as death from cancer recurrence vs death from other causes (e.g., cardiovascular disease) .
•Problem: Standard survival analysis often ignore this structure (e.g., using composite outcomes) or competing events are censored, which biases event incidences and mislead clinical interpretation.
•Challenge: Rapid growth in statistical and deep learning competing risk models has outpaced rigorous, comparable evaluation.
•Solution: Transparent and neutral benchmark with a broad set of performance evaluation metrics.
•Application: Benchmark is applied to a Scottish colorectal cancer cohort to identify which methods are reliable in practice.
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