Abstract
The simplest approach to the analysis of repeated measurements is to reduce the vector of multiple measurements from each experimental unit to a single measurement. Thus, a multivariate response is reduced to a univariate response. This avoids the issue of correlation among the repeated measurements from a subject. In the special case of two measurements per subject, well-known methods of this type include the paired t test for continuous responses and McNemar’s test for dichotomous responses.
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© 2002 Springer-Verlag New York, Inc.
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Davis, C.S. (2002). Univariate Methods. In: Statistical Methods for the Analysis of Repeated Measurements. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21573-0_2
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DOI: https://doi.org/10.1007/978-0-387-21573-0_2
Publisher Name: Springer, New York, NY
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