A parametric survival model with bayesian structural equation based on multi-omics integration.

ABSTRACT:

Background

Multi-omics integration may provide additional information about the development of tumors and improve the performance of predictive models. The key challenge lies in integrating several omics sources, especially to capture their biological relationships. Previous studies proposed a structural equation model framework to combine two data platforms for predicting survival; however, several limitations remain.

Results

In this study, we introduce an extended Bayesian survival model combined with a structural equation model for adaptation to broader applications. The No U-turn Sampling (NUTS) algorithm was utilized to efficiently sample the posterior distribution of model parameters. Through a series of simulation studies, our model showed excellent goodness-of-fit an

SUBMITTER: Chu J 

PROVIDER: S-EPMC12771807 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature