Joint analysis of left‐censored longitudinal biomarker and binary outcome via latent class modeling

Joint latent class modeling is an appealing approach for evaluating the association between a longitudinal biomarker and clinical outcome when the study population is heterogeneous. The link between the biomarker trajectory and the risk of event is reflected by the latent classes, which accommodate...

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Veröffentlicht in:	Statistics in medicine Jg. 37; H. 13; S. 2162 - 2173
Hauptverfasser:	Li, Menghan, Kong, Lan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley Subscription Services, Inc 15.06.2018
Schlagworte:	Biomarkers joint modeling Latent class analysis limit of detection (LOD) longitudinal biomarker Monte Carlo EM limit of detection (LOD) joint modeling longitudinal biomarker Monte Carlo EM
ISSN:	0277-6715, 1097-0258, 1097-0258
Online-Zugang:	Volltext
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