Multivariate Dependencies - Models, Analysis and Interpretation

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.

List of contents

Introduction
Aspects of Interpretation
Technical Considerations
Statistical Analysis
Special Methods for Joint Responses
Some Examples
Strategical Aspects
More Specialized Topics
Appendices

About the author

Cox, D.R.; Wermuth, Nanny

Summary

This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation.

Product details

• Authors: D.R. Cox, Niels Keiding, Nanny Wermuth, Wermuth Nanny
• Assisted by: D.R. Cox (Editor of the series), Valerie Isham (Editor of the series), Niels Keiding (Editor of the series), Thomas A. Louis (Editor of the series), N. Reid (Editor of the series), R.J. Tibshirani (Editor of the series), Howell Tong (Editor of the series), Nanny Wermuth (Editor of the series)
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 01.03.1996
• EAN: 9780412754104
• ISBN: 978-0-412-75410-4
• No. of pages: 272
• Weight: 660 g
• Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, Probability & statistics, Mathematical modelling, Probability and statistics