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Randomization Model Methods for One-Sample Repeated Measurements

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Part of the Springer Texts in Statistics book series (STS)

Abstract

In many settings in which the response variable is categorical, the WLS approach described in Chapter 7 cannot be used. For example, the sample size may be too small, the number of time points may be too large, and/or the response variable may have too many possible values. In addition, the methods described in Chapters 3–6 for analyzing continuous response variables are also often inapplicable. For example, the distribution of the outcome variable may be markedly nonnormal. This chapter describes an alternative methodology based on the randomization model and the multiple hypergeometric distribution.

Keywords

Correlation Statistic Randomization Model Rank Score Hypergeometric Distribution Repeated Measurement Factor 
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Copyright information

© Springer-Verlag New York, Inc. 2002

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