Back to search

Article

The impact of the number and the size of clusters on prediction performance of the stratified and the conditional shared gamma frailty Cox proportional hazards models

2025-10-19

Abstract excerpt

Researchers in biomedical research often analyse data that are subject to clustering. Development and validation of risk prediction models generally assumes independence of observations. For survival outcomes, the Cox proportional hazards regression model is commonly used to estimate an individual’s risk at fixed time horizons. The stratified Cox proportional hazards and the shared gamma frailty Cox proportional h...

Topics

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

Identifiers and source

Literature Corpus work
e6ab338f-a5c8-5cb0-9da8-0621ed7ffe01
DOI
10.1101/2025.10.17.25338219
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.
The impact of the number and the size of clusters on prediction performance of the stratified and the conditional shared gamma frailty Cox proportional hazards modelsDOI 10.1101/2025.10.17.25338219
Select a neighboring publication to make it the new centre.