TY  - GEN
AU  - Commenges,Daniel
AU  - Jacqmin-Gadda,Helene
TI  - Dynamical biostatistical models
T2  - Chapman & Hall/CRC biostatistics series  
SN  - 9781498729673
U1  - 000SB:614.4 23
PY  - 2016///
CY  - Boca Raton
PB  - CRC Press
KW  - Epidemiology
KW  - Statistical methods.
KW  - Biometry
KW  - Medical statistics
N1  - Includes bibliographical references and index; 1. Introduction --
2. Inference --
3. Survival analysis --
4. Models for longitudinal data --
5. Extensions of mixed models --
6. Advanced survival models --
7. Multistate models --
8. Joint models for longitudinal and time-to-event data --
9. The dynamic approach to causality --
10. Appendix: software
N2  - This book 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.
It 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
ER  -