Name: linear mixed models for longitudinal data (en Inglés)
Price: 175540.00 CLP
Availability: InStock
Author: geert verbeke,geert molenberghs
ISBN: 9780387950273

portada linear mixed models for longitudinal data (en Inglés)

Formato

Libro Físico

Editorial

springer-verlag gmbh

Autor

geert verbeke,geert molenberghs

Idioma

Inglés

N° páginas

568

ISBN

0387950273

ISBN13

9780387950273

Categorías

Matemáticas aplicadas

linear mixed models for longitudinal data (en Inglés)

Geert Verbeke,Geert Molenberghs (Autor) · springer-verlag gmbh · Libro Físico

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Reseña del libro "linear mixed models for longitudinal data (en Inglés)"

this book provides a comprehensive treatment of linear mixed models

for continuous longitudinal data. next to model formulation, this

edition puts major emphasis on exploratory data analysis for all

aspects of the model, such as the marginal model, subject-specific

profiles, and residual covariance structure. further, model

diagnostics and missing data receive extensive treatment. sensitivity

analysis for incomplete data is given a prominent place. several

variations to the conventional linear mixed model are discussed (a

heterogeity model, condional linear mid models).

this book will be of interest to applied statisticians and biomedical

researchers in industry, public health organizations, contract

research organizations, and academia. the book is explanatory rather

than mathematically rigorous. most analyses were done with the mixed

procedure of the sas software package, and many of its features are

clearly elucidated. how3ever, some other commercially available

packages are discussed as well. great care has been taken in

presenting the data analyses in a software-independent fashion.

geert verbeke is assistant professor at the biostistical centre of the

katholieke universiteit leuven in belgium. he received the b.s. degree

in mathematics (1989) from the katholieke universiteit leuven, the

m.s. in biostatistics (1992) from the limburgs universitair centrum,

and earned a ph.d. in biostatistics (1995) from the katholieke

universiteit leuven. dr. verbeke wrote his dissertation, as well as a

number of methodological articles, on various aspects of linear mixed

models for longitudinal data analysis. he has held visiting positions

at the gerontology research center and the johns hopkins university.

geert molenberghs is assistant professor of biostatistics at the

limburgs universitair centrum in belgium. he received the b.s. degree

in mathematics (1988) and a ph.d. in biostatistics (1993) from the toc:introduction * examples * a model for longitudinal data * exploratory

data analysis * estimation of the marginal model * inference for the

marginal model * inference for the random effects * fitting linear

mixed models with sas * general guidelines for model building *

exploring serial correlation * local influence for the linear mixed

model * the heterogeneity model * conditional linear mixed models *

exploring incomplete data * joint modeling of measurements and

missingness * simple missing data methods * selection models * pattern

-mixture models * sensitivity analysis for selection models *

sensitivity analysis for models * how ignorable is missing at random?

* the expectation-maximization algorithm * design considerations *

case studies