We were pleased to receive the letter from Dai and Xu,
3
who agreed with our recommendation to use the nonparametric Wilcoxon Mann-Whitney
(WMW) test for Cold Pressor Test (CPT) data,
5
rather than the parametric t-test usually used.To read this article in full you will need to make a payment
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References
- Analysis of statistical tests to compare visual analog scale measurements among groups.Anesthesiology. 1995; 82: 896-902
- Wilcoxon-Mann-Whitney or T-Test? On assumptions for hypothesis tests and multiple interpretations of decision rules.Stat Surv. 2010; 4: 1-39
- Letter to the Editor: Experimental comparison of parametric versus nonparametric analyses of data from the Cold Pressor Test.J Pain. 2016; 17: 126-127
- Points of significance: nonparametric tests.Nat Methods. 2014; 11: 467-468
- Experimental comparison of parametric versus nonparametric analyses of data from the cold pressor test.J Pain. 2015; 16: 537-548
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The authors have no conflicts of interest to declare.
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© 2016 American Pain Society. Published by Elsevier Inc. All rights reserved.
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Access this article on ScienceDirectLinked Article
- Letter to the Editor: Experimental Comparison of Parametric Versus Nonparametric Analyses of Data From the Cold Pressor TestThe Journal of PainVol. 17Issue 1
- PreviewWe read with great interest the recent article by Treiser et al,7 published in the June 2015 issue of the Journal of Pain, entitled “Experimental comparison of parametric versus nonparametric analyses of data from the Cold Pressor Test.” On the basis of systematic reviews and intensive Monte Carlo simulations, Treiser et al noted frequent but inappropriate usage of the parametric t-test and recommended use of the nonparametric Wilcoxon-Mann-Whitney (WMW) test for cold pressor test data, as well as routinely checking assumptions of normality for other types of pain outcomes.
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