Detalls del llibre
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.
- Autors Robert M. Elashoff, Alison Gangel, Adeline van Waning MD PhD
- ISBN13 9781439807828
- ISBN10 1439807825
- Pàgines 241
- Any Edició 2016
- Fecha de publicación 05/08/2016
Ressenyes i valoracions
Joint Modeling of Longitudinal and Time-to-event Data
- De
- Robert M. Elashoff, Alison Gangel, Adeline van Waning MD PhD
- |
- TAYLOR & F (2016)
- 9781439807828



