Copertina di Multivariate Longitudinal Data Analysis
Titolo del libro:

Multivariate Longitudinal Data Analysis

Models for Binary Response and Exploratory Tools for Binary and Continuous Response

VDM Verlag Dr. Müller (21.08.2008 )

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ISBN-13:

978-3-639-07254-9

ISBN-10:
3639072545
EAN:
9783639072549
Lingua del libro:
Inglese
Risvolto di copertina:
Longitudinal data (LD) occurs when repeated measurements from the same subject are observed over time. In this book, exploratory data analysis (EDA) and models are utilized jointly to analyze LD which leads to stronger and better justified conclusions. Here we catalog the general principles of EDA for multivariate LD, and illustrate the use of the linked brushing approach for studying the mean structure over time. We also introduce models for multivariate longitudinal binary data: Marginalized transition random effects models (MTREM). These models exploit the marginal covariate effects while accounting for the dependence across time and responses. The methods are illustrated on several real datasets. It is possible to reveal the unexpected, to explore the interaction between responses and covariates, to observe the individual variations, and to understand structure in multiple dimensions by using these methods. The text includes visualization tools, detailed derivations for the models and computer code examples. This book will be of interest to students and researchers in (bio)statistics, social sciences and related fields.
Casa editrice:
VDM Verlag Dr. Müller
Sito Web:
http://www.vdm-verlag.de
Da (autore):
ILK Ozlem
Numero di pagine:
180
Pubblicato il:
21.08.2008
Giacenza di magazzino:
Disponibile
categoria:
Matematica
Prezzo:
68,00 €
Parole chiave:
Bayesian hierarchical model, Correlated data, Interactive statistical graphics, Logistic Regression, Missing data, Marginalized multilevel model, Markov Chain Monte Carlo Methods, Panel data, Random effects, Transition effects, Markov Chain Monte Carlo Methods

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