Linear mixed models in practice: a SAS-oriented approach
type: Item
instance of: scholarly article
title: Linear mixed models in practice: a SAS-oriented approach
zbMATH Open document ID: 0882.62064
published in: Lecture Notes in Statistics
publication date: 1997-10-23T00:00:00Z
review text: [The articles of this volume will not be indexed individually.] The book provides a guidance and an advice for various techniques to use the whole class of statistical models in practice. Their implementation in the SAS procedure MIXED and PROC MIXED is presented. The earlier chapters are devoted to an example-based introduction of linear mixed models. The experimental data modelling is developed to analyse continuous correlated data, longitudinal and spatial data using the mentioned software packages. Some standard inferential tools for the fixed effects of the general linear mixed model are described as well as some Bayesian techniques. A lot of attention is devoted to case studies with missing and incomplete longitudinal data from biological, pharmaceutical and medical fields.
Mathematics Subject Classification ID: 62J99
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 00B15
Mathematics Subject Classification ID: 65C99
Mathematics Subject Classification ID: 62P99
zbMATH DE Number: 1077794
zbMATH Keywords: Linear mixed models
zbMATH Keywords: Practice
zbMATH Keywords: SAS
zbMATH Keywords: missing data
zbMATH Keywords: Bayesian techniques
zbMATH Keywords: case studies
reviewed by: Emiliana Ursianu
describes a project that uses: MIXED
describes a project that uses: SAS
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1077794