Abstract
Traditional statistical tests are unable to handle a large number of variables. The simplest method to reduce large numbers of variables is the use of add-up scores. But add-up scores do not account for the relative importance of the separate variables, their interactions and differences in units. Principal components analysis and partial least square analysis account all of that, but are virtually unused in clinical trials.
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Appendix: Datafile of the Example Used in the Present Chapter
Appendix: Datafile of the Example Used in the Present Chapter
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6 | 7 | 7 | 7 | 4 | 6 | 4 | 4 | 4 | 8 | 4 | 5 | 6 | 7 | 7 | 5 |
8 | 7 | 7 | 9 | 7 | 10 | 5 | 6 | 8 | 8 | 6 | 9 | 6 | 7 | 6 | 7 |
10 | 10 | 10 | 9 | 8 | 7 | 8 | 7 | 8 | 9 | 9 | 8 | 5 | 5 | 5 | 4 |
8 | 7 | 8 | 10 | 8 | 9 | 6 | 7 | 8 | 7 | 8 | 8 | 8 | 8 | 7 | 8 |
8 | 9 | 7 | 8 | 9 | 8 | 8 | 7 | 8 | 7 | 5 | 9 | 6 | 8 | 8 | 8 |
7 | 7 | 5 | 7 | 8 | 8 | 6 | 6 | 9 | 7 | 8 | 8 | 7 | 7 | 6 | 7 |
9 | 9 | 10 | 8 | 8 | 8 | 6 | 5 | 10 | 10 | 10 | 10 | 7 | 7 | 5 | 6 |
8 | 6 | 9 | 9 | 8 | 9 | 8 | 9 | 8 | 7 | 7 | 8 | 9 | 9 | 7 | 8 |
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9 | 10 | 7 | 8 | 7 | 5 | 10 | 10 | 10 | 10 | 7 | 10 | 6 | 8 | 9 | 7 |
4 | 6 | 5 | 7 | 4 | 4 | 4 | 3 | 10 | 9 | 10 | 9 | 4 | 4 | 3 | 4 |
8 | 8 | 8 | 8 | 8 | 8 | 7 | 6 | 10 | 8 | 10 | 10 | 10 | 8 | 8 | 7 |
8 | 6 | 3 | 8 | 6 | 8 | 5 | 1 | 10 | 7 | 10 | 10 | 7 | 7 | 8 | 6 |
7 | 7 | 8 | 7 | 8 | 8 | 8 | 6 | 4 | 6 | 5 | 9 | 7 | 7 | 5 | 6 |
9 | 10 | 9 | 9 | 8 | 7 | 7 | 9 | 7 | 4 | 7 | 4 | 5 | 9 | 8 | 6 |
10 | 10 | 8 | 9 | 7 | 6 | 5 | 8 | 6 | 7 | 6 | 6 | 7 | 9 | 9 | 5 |
4 | 6 | 9 | 8 | 9 | 9 | 7 | 7 | 0 | 1 | 0 | 0 | 8 | 7 | 9 | 4 |
8 | 8 | 7 | 7 | 4 | 6 | 5 | 5 | 4 | 4 | 4 | 5 | 3 | 5 | 4 | 3 |
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4 | 5 | 5 | 7 | 6 | 9 | 6 | 8 | 9 | 9 | 8 | 8 | 8 | 10 | 10 | 7 |
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9 | 9 | 7 | 7 | 4 | 6 | 5 | 3 | 3 | 5 | 3 | 6 | 4 | 3 | 7 | 5 |
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Cleophas, T.J., Zwinderman, A.H. (2013). Partial Least Squares. In: Machine Learning in Medicine. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5824-7_16
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