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.

List of contents

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

About the author

David J. Hand

Summary

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.

Product details

• Authors: 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.
• Assisted by: Chris Chatfield (Editor), Jim Lindsey (Editor), Jim Zidek (Editor), Chris Chatfield (Editor of the series), Jim Lindsey (Editor of the series), Jim Zidek (Editor of the series)
• Publisher: Springer Netherlands
• Languages: English
• Product format: Hardback
• Released: 17.04.2014
• EAN: 9780412599408
• ISBN: 978-0-412-59940-8
• No. of pages: 244
• Dimensions: 156 mm x 17 mm x 234 mm
• Weight: 480 g
• Illustrations: 2 SW-Abb.,
• Series: Texts in Statistical Science; Chapman & Hall/CRC Texts in Statistical Science; Chapman & Hall/CRC Texts in St; Chapman & Hall/CRC Texts in Statistical Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; 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