Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies.
The author presents a well tested approach using real examples taken from bio-medical research. He breaks down each problem into its components and where an unbiased partial test is found to exist, nonparametric combination methodology is used to determine overall solutions.
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