Joint Modelling of Longitudinal Measurements and Time‐to‐Event Outcomes With a Cure Fraction Using Functional Principal Component Analysis

ABSTRACT In studying the association between clinical measurements and time‐to‐event outcomes within a cure model, utilizing repeated observations rather than solely baseline values may lead to more accurate estimation. However, there are two main challenges in this context. First, longitudinal meas...

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Bibliographic Details
Published in:	Statistics in medicine Vol. 43; no. 30; pp. 6059 - 6072
Main Authors:	Guo, Siyuan, Zhang, Jiajia, Halabi, Susan
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 30.12.2024 Wiley Subscription Services, Inc
Subjects:	Algorithms Computer Simulation cox's proportional hazards cure model expectation‐Maximization algorithm functional principal component analysis Humans Likelihood Functions Longitudinal Studies Male Models, Statistical Principal Component Analysis Proportional Hazards Models Prostate cancer Prostatic Neoplasms - mortality Prostatic Neoplasms - therapy Survival Analysis prostate cancer expectation‐Maximization algorithm cox's proportional hazards cure model functional principal component analysis
ISSN:	0277-6715, 1097-0258, 1097-0258
Online Access:	Get full text
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