Practical Longitudinal Data Analysis

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.

Table des matières

Preface, 1: Introduction, Part One: Normal Error Distributions, Part Two: Non-normal Error Distributions, Part Three: Comparisons of Methods, Appendix A The data sets used in the examples, Appendix B Extra data sets, References, Author index, Subject index

A propos de l'auteur

David J. Hand

Résumé

This text is aimed at both statisticians and researchers in other disciplines such as medicine and psychology who make extensive use of longitudinal data analysis. It is aimed at practical application of the techniques, and an extensive data appendix provides many real data sets.

Détails du produit

• Auteurs: M J Crowder, M. J. Crowder, Martin Crowder, Martin J. Crowder, Martin J. (Imperial College Crowder, Crowder Martin J., D Hand, D J Hand, D. J. Hand, David Hand, David J. Hand, David J. (Imperial College Hand, Hand J. Hand, Hand David J.
• Collaboration: Chris Chatfield (Editeur), Jim Lindsey (Editeur), Jim Zidek (Editeur), Chris Chatfield (Editeur de la série), Jim Lindsey (Editeur de la série), Jim Zidek (Editeur de la série)
• Edition: Springer Netherlands
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 17.04.2014
• EAN: 9780412599408
• ISBN: 978-0-412-59940-8
• Pages: 244
• Dimensions: 156 mm x 17 mm x 234 mm
• Poids: 480 g
• Illustrations: 2 SW-Abb.,
• Thèmes: Texts in Statistical Science; Chapman & Hall/CRC Texts in Statistical Science; Chapman & Hall/CRC Texts in St; Chapman & Hall/CRC Texts in Statistical Science
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis