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Dynamical Biostatistical Models

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  • 374 Seiten
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Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses o... Weiterlesen
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Beschreibung

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 ap



Autorentext

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.

Helene 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.



Inhalt

Introduction. Classical Biostatistical Models: Inference. Survival Analysis. Models for Longitudinal Data. Advanced Biostatistical Models: Extensions of Mixed Models. Advanced Survival Models. Multistate Models. Joint Models for Longitudinal and Time-to-Event Data. The Dynamic Approach to Causality. Appendix: Software. Index.

Produktinformationen

Titel: Dynamical Biostatistical Models
Autor:
EAN: 9781498729680
ISBN: 978-1-4987-2968-0
Digitaler Kopierschutz: Adobe-DRM
Format: E-Book (pdf)
Herausgeber: Crc Press
Genre: Grundlagen
Anzahl Seiten: 374
Veröffentlichung: 02.10.2015
Jahr: 2015
Untertitel: Englisch