Statistical Methods for the Analysis of Repeated Measurements

Charles S. Davis - Collection Springer texts in statistics

416 pages, parution le 01/01/2002

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Résumé

This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course. This book will be of interest to

Statisticians in academics, industry, and research organizations
Scientists who design and analyze studies in which repeated measurements are obtained from each experimental unit
Graduate students in statistics and biostatistics

The prerequisites are knowledge of mathematical statistics at the level of Hogg and Craig (1995) and a course in linear regression and ANOVA at the level of Neter et al. (1985).

The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems.

The 80 data sets used in the examples and homework problems can be downloaded from www.springer-ny.com. Since many of the data sets can be used to demonstrate multiple methods of analysis, instructors can easily develop additional homework problems and exam questions based on the data sets provided. In addition, overhead transparencies produced using TEX and solutions to homework problems are available to course instructors. The overheads also include programming statements and computer output for the examples, prepared primarily using the SAS® System.

Sommaire

Preface
List of Tables
List of Figures
Introduction
Unvariate Methods
Normal-Theory Methods: Unstructured Multivariate Approach
Normal-Theory Methods: Multivariate Analysis of Variance
Normal-Theory Methods: Repeated Measures ANOVA
Normal-Theory Methods: Linear Mixed Models
Weighted Least Squares Analysis of Repeated Categorical Outcomes
Randomization Model Methods for One-Sample Repeated Measurements
Methods Based on Extensions of Generalized Linear Models
Nonparametric Methods
Bibliography
Author Index
Subject Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Charles S. Davis
Collection	Springer texts in statistics
Parution	01/01/2002
Nb. de pages	416
Format	16 x 24
Couverture	Relié
Poids	721g
Intérieur	Noir et Blanc
EAN13	9780387953700
ISBN13	978-0-387-95370-0