Intercept Estimation of Semi‐Parametric Joint Models in the Context of Longitudinal Data Subject to Irregular Observations

Longitudinal data are often subject to irregular visiting times, with outcomes and visit times influenced by a latent variable. Semi‐parametric joint models that account for this dependence have been proposed; among these, the Sun model is the most suitable for count data as it employs a multiplicat...

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Veröffentlicht in:	Biometrical journal Jg. 67; H. 6; S. e70088
Hauptverfasser:	Ledesma, Luis, Pullenayegum, Eleanor
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 01.12.2025
Schlagworte:	Biometry - methods Humans Longitudinal Studies Models, Statistical Urinary Bladder Neoplasms estimating equations semi‐parametric models irregular observation longitudinal data
ISSN:	0323-3847, 1521-4036, 1521-4036
Online-Zugang:	Volltext
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