We were pleased to receive the letter from Dai and Xu,
3who agreed with our recommendation to use the nonparametric Wilcoxon Mann-Whitney (WMW) test for Cold Pressor Test (CPT) data,
- Feng D.
- Yaqing X.
Letter to the Editor: Experimental comparison of parametric versus nonparametric analyses of data from the Cold Pressor Test.
J Pain. 2016; 17: 126-127
5rather than the parametric t-test usually used.
- Treister R.
- Nielsen C.S.
- Stubhaug A.
- Farrar J.T.
- Pud D.
- Sawilowsky S.
- Oaklander A.L.
Experimental comparison of parametric versus nonparametric analyses of data from the cold pressor test.
J Pain. 2015; 16: 537-548
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- Experimental comparison of parametric versus nonparametric analyses of data from the cold pressor test.J Pain. 2015; 16: 537-548
The authors have no conflicts of interest to declare.
© 2016 American Pain Society. Published by Elsevier Inc. All rights reserved.
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- 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.