Joint Modeling of Longitudinal and Time-to-Event Data
CRC Press
Joint Modeling of Longitudinal and Time-to-Event DataAuthor(s): Robert Elashoff, Gang li, Ning Li\nFormat: Hardback\nPublisher: Taylor & Francis Inc, United States\nImprint: Chapman & Hall/CRC\nISBN-13: 9781439807828, 978-1439807828\nSynopsis\nLongitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues.\n\nJoint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustr.
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