Joint modeling of longitudinal and time-to-event data
- 作者: Elashoff, Robert M.,
- 出版:
- 稽核項: xix, 241 pages ;24 cm.
- 叢書名: Monographs on Statistics and Applied Probability ;151
- 標題: Longitudinal method.
- ISBN: 1439807825 , 9781439807828
- 附註: 105年科技部補助人文科及社會科學研究圖書計畫:文學I:戲曲與表演文化
- 系統號: 005266256
- 資料類型: 圖書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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