A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imag...

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Bibliographic Details
Main Authors: Daniel J. Glazar, Solmaz Sahebjam, Hsiang‐Husan M. Yu, Dung‐Tsa Chen, Menal Bhandari, Heiko Enderling
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.13290
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