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Dynamical Biostatistical Models (Chapman & Hall/CRC Biostatistics Series) - Tapa blanda

Libro 58 de 155: Chapman & Hall/CRC Biostatistics

Commenges, Daniel; Jacqmin-Gadda, Helene

 
9780367737740: Dynamical Biostatistical Models (Chapman & Hall/CRC Biostatistics Series)
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ISBN 10: 0367737744 ISBN 13: 9780367737740
Editorial: Routledge, 2020

Sinopsis

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.

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Acerca del autor

Daniel Commenges is emeritus research director at INSERM and founder of the Biostatistics Team at the University of Bordeaux. Dr. Commenges has published more than 200 papers and was editor of Biometrics and an associate editor of several other journals. His main research interests focus on statistical models in epidemiology and biology, applications of stochastic processes, statistical inference in dynamical models, and model selection.

Hélène Jacqmin-Gadda is research director at INSERM and head of the Biostatistics Team at the University of Bordeaux. Dr. Jacqmin-Gadda is a member of the International Biometrics Society and was an associate editor of Biometrics. Her research involves methods for analyzing longitudinal data and joint models in areas, including brain aging, HIV, and cancer.

De la contraportada

This book presents statistical models and methods for the analysis of longitudinal data. It focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. The book also explores the possibility of unifying these models through a stochastic process point of

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Editorial
Routledge
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367737744
ISBN 13 
9780367737740
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
408
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

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München
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Alemania