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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Vydané v:	Biometrics Ročník 80; číslo 3
Hlavní autori:	Li, Hongxi, Li, Shuwei, Sun, Liuquan, Song, Xinyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 01.07.2024
Predmet:	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
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