Dynamical Biostatistical Models (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Biostatistics Series
Release date:	December 2020
First published:	2016
Authors:	Daniel Commenges • Helene Jacqmin-Gadda
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	374
ISBN-13:	978-0-367-73774-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > General Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	0-367-73774-4
Barcode:	9780367737740

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