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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Vydáno v:	Statistics in medicine Ročník 43; číslo 30; s. 6059 - 6072
Hlavní autoři:	Guo, Siyuan, Zhang, Jiajia, Halabi, Susan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 30.12.2024 Wiley Subscription Services, Inc
Témata:	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
On-line přístup:	Získat plný text
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