Dynamical Biostatistical Models (Hardcover)

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:	Productivity Press
Country of origin:	United States
Series:	Chapman & Hall/CRC Biostatistics Series
Release date:	October 2015
First published:	2015
Authors:	Daniel Commenges • Helene Jacqmin-Gadda
Dimensions:	234 x 156 x 25mm (L x W x T)
Format:	Hardcover
Pages:	374
ISBN-13:	978-1-4987-2967-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	1-4987-2967-3
Barcode:	9781498729673

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