Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Longitudinal 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.Joint 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 illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website.This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics. 261 pp. Englisch. Seller Inventory # 9780367570576

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Joint Modeling of Longitudinal and Time-to-Event Data

Elashoff, Robert

Published by Routledge, 2020

ISBN 10: 0367570572 ISBN 13: 9780367570576

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Condition: New. pp. 261. Seller Inventory # 18378052506

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Joint Modeling of Longitudinal and Time-to-Event Data

Robert Elashoff

Published by Taylor & Francis, Chapman And Hall/CRC, 2020

ISBN 10: 0367570572 ISBN 13: 9780367570576

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Longitudinal 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.Joint 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 illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website.This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics. Seller Inventory # 9780367570576

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Joint Modeling of Longitudinal and Time-to-Event Data

Robert Elashoff (UCLA School of Public Health, Los Angeles, California, USA)|Gang li (UCLA School of Public Health, Los Angeles, California, USA)|Ning Li (UCLA School of Public Health, Los Angeles, California, USA)

Published by CRC Press, 2020

ISBN 10: 0367570572 ISBN 13: 9780367570576

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robert Elashoff, Gang Li, Ning LiLongitudinal 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. Seller Inventory # 594589787

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