Complex multivariate problems are frequently encountered in many scientific disciplines and it can be very difficult to obtain meaningful results. Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems. The author presents a novel but well tested approach using real examples taken from biomedical research. Statistical analyses are performed in a nonparametric setting, so that no assumptions need be made about the underlying distribution and the dependence relations between variables.

• Provides a clear exposition of the use of multivariate permutation testing, with emphasis on the use of nonparametric combination methodology
• Growing area of research with many practical applications, notably in biostatistics
• Numerous case studies and examples help to illustrate the theory
• Provides solutions to multi-aspect problems, to problems with missing data, analysis of factorial designs and repeated measures
• Explains the analysis of categorical, ordered categorical, binary, continuous, and mixed variables in both an experimental and an observational context
• NPC-Test software, SAS macros, S-Plus code and datasets, allowing the reader to apply the techniques described to problems in their own work, are available on the web.

 

Click here to view the Preface.

Click here to view the Table of Contents.

Click here to view the John Wiley and Sons catalogue entry and to order.
 

This site provides ready access to the principal data sets presented in or refferred to in the book, and supplemental software.

This site will be updated periodically. In the meanwhile, please contact me if I can provide any additional information.
 
 

Fortunato Pesarin