HDMAX2-surv: high-dimensional mediation analysis of survival data with application to pancreatic cancer

In this work, we developed HDMAX2-surv, a novel framework for high-dimensional mediation analysis specifically adapted to censored survival data. Our approach integrates computational immune deconvolution with causal discovery and serial mediation analysis, addressing a critical methodological gap in understanding how molecular intermediates shape clinical outcomes.

Recommended citation: HDMAX2-surv: high-dimensional mediation analysis of survival data with application to pancreatic cancer. Florence Pittion, Elise Amblard, Emilie Devijver, Adeline Samson, Nelle Varoquaux, Magali Richard. bioRxiv 2025.09.09.675033v3; doi: https://doi.org/10.1101/2025.09.09.675033v3
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