Repeated measures data arise when the same characteristic is
measured on each case or subject at several times or under several
conditions. There is a multitude of techniques available for
analysing such data and in the past this has led to some confusion.
This book describes the whole spectrum of approaches, beginning
with very simple and crude methods, working through intermediate
techniques commonly used by consultant statisticians, and
concluding with more recent and advanced methods. Those covered
include multiple testing, response feature analysis, univariate
analysis of variance approaches, multivariate analysis of variance
approaches, regression models, two-stage line models, approaches to
categorical data and techniques for analysing crossover designs.
The theory is illustrated with examples, using real data brought to
the authors during their work as statistical consultants.
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