Abstract
Z-tests (Chap. 36) are OK for comparing the effects of two treatment modalities on numbers of responders to treatment, however, pretty laborious. Phi tests (Chap. 37) provide levels of association (or interaction) between a treatment modality and the number of responders, but no p-values. Often, we wish to know whether our result or the difference between two results are significantly different from zero. Chi-square tests make use of chi-square distributions (squared normal distributions), and produce p-values for the purpose, and these p-values are pretty much similar to those of the z-tests, but they can be obtained more easily.
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Cleophas, T.J., Zwinderman, A.H. (2016). Chi-square Tests. In: Clinical Data Analysis on a Pocket Calculator. Springer, Cham. https://doi.org/10.1007/978-3-319-27104-0_38
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DOI: https://doi.org/10.1007/978-3-319-27104-0_38
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