Factor-augmented transformation models for interval-censored failure time data

Interval-censored failure time data frequently arise in various scientific studies where each subject experiences periodical examinations for the occurrence of the failure event of interest, and the failure time is only known to lie in a specific time interval. In addition, collected data may includ...

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Veröffentlicht in:	Biometrics Jg. 80; H. 3
Hauptverfasser:	Li, Hongxi, Li, Shuwei, Sun, Liuquan, Song, Xinyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 01.07.2024
Schlagworte:	Algorithms Alzheimer Disease Computer Simulation Data Interpretation, Statistical Factor Analysis, Statistical Humans Likelihood Functions Models, Statistical Neuroimaging Time Factors factor analysis nonparametric maximum likelihood estimation expectation-maximization algorithm interval censoring joint model
ISSN:	0006-341X, 1541-0420, 1541-0420
Online-Zugang:	Volltext
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