A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling

Joint models for longitudinal and time‐to‐event data are receiving increasing attention owing to its capability of capturing the possible association between these two types of data. Typically, a joint model consists of a longitudinal submodel for longitudinal processes and a survival submodel for t...

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Vydané v:	Statistics in medicine Ročník 43; číslo 23; s. 4595 - 4613
Hlavní autori:	Chen, Shuyan, Fang, Zhiqing, Li, Zhong, Liu, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 15.10.2024 Wiley Subscription Services, Inc
Predmet:	Algorithms block‐coordinate gradient descent algorithm Computer Simulation group selection Humans joint modeling Likelihood Functions Linear Models Longitudinal Studies mixed effects model Models, Statistical multivariate longitudinal measurements Proportional Hazards Models Survival Analysis joint modeling multivariate longitudinal measurements block‐coordinate gradient descent algorithm group selection mixed effects model
ISSN:	0277-6715, 1097-0258, 1097-0258
On-line prístup:	Získať plný text
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