Dynamical Biostatistical Models Paperback / softback
by Daniel Commenges, Helene Jacqmin-Gadda
Part of the Chapman & Hall/CRC Biostatistics Series series
Paperback / softback
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Description
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data.
The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models.
Most of the advanced methods, such as multistate and joint models, can be applied using SAS or R software. The book describes advanced regression models that include the time dimension, such as mixed-effect models, survival models, multistate models, and joint models for repeated measures and time-to-event data.
It also explores the possibility of unifying these models through a stochastic process point of view and introduces the dynamic approach to causal inference. Drawing on much of their own extensive research, the authors use three main examples throughout the text to illustrate epidemiological questions and methodological issues.
Readers will see how each method is applied to real data and how to interpret the results.
Information
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:374 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:18/12/2020
- Category:
- ISBN:9780367737740
Other Formats
- Hardback from £89.26
- PDF from £40.49
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:374 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:18/12/2020
- Category:
- ISBN:9780367737740