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Item Details
| Title:
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JOINT MODELING OF LONGITUDINAL AND TIME-TO-EVENT DATA
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| By: |
Robert Elashoff, Gang li, Ning Li |
| Format: |
Electronic book text |
| List price:
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£69.59 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1439807833 |
| ISBN 13: |
9781439807835 |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
15 June, 2011 |
| Series: |
Chapman & Hall/CRC Monographs on Statistics & Applied Probability |
| Pages: |
241 |
| Synopsis: |
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. |
| Illustrations: |
37 Tables, black and white; 50 Illustrations, black and white |
| Publication: |
UK |
| Imprint: |
Chapman & Hall/CRC |
| Returns: |
Non-returnable |
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