Interactive Use of Cox Model-Predicted Survival Curves: An Application Using ACS10 Score and Age to Personalize Treatment of Pediatric AML.

ABSTRACT:

Purpose

Analyses in oncology frequently include Cox proportional hazards models for survival outcomes, but reported results typically only include hazard ratios and respective inference. Cox model predictions of survival functions may help to provide a greater clinical meaning from fitted Cox models for precision oncology research.

Patients and methods

We created a publicly available software library, shinyCox, that can generate user-friendly interactive applications to visualize survival outcome predictions of fitted Cox models. To illustrate the benefits of this software, we analyzed data from AML02 and AML08, randomized clinical trials for pediatric patients with AML. Building on a recent article, we assessed how baseline factors and a pharmacogenomics score (ACS10) can a

SUBMITTER: Selukar S 

PROVIDER: S-EPMC12506686 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature