Back to search

Article

Predicting Optimal Colorectal Cancer Treatments Across Age Groups Using Bayesian Hierarchical Modeling

2026-04-27

Abstract excerpt

<title>Abstract</title> <p>Colorectal cancer treatment outcomes demonstrate substantial variation across different age cohorts, necessitating age-specific therapeutic approaches. This investigation employed Bayesian hierarchical survival modeling to estimate treatment efficacy probabilities while formally accounting for patient heterogeneity. Analyzing the Surveillance, Epidemiology, and End Results (SEER) regist...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6c1a15de-f733-5655-9d8a-4e48b7e2085f
DOI
10.21203/rs.3.rs-9450455/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting Optimal Colorectal Cancer Treatments Across Age Groups Using Bayesian Hierarchical ModelingDOI 10.21203/rs.3.rs-9450455/v1
Select a neighboring publication to make it the new centre.