2 Matching Annotations
  1. Jul 2018
    1. On 2015 Jun 12, Philippe Terrier commented:

      There is a very unlikely result in table 3: the authors report regression result for the dependent variable CBMS: 1.000 x APStdDev - 1.000 x MLRange, R<sup>2</sup> =1.000 . This is a perfect prediction, which is impossible given the variability reported in table 1. Moreover, mean APSstDev is 1.3 (table 1) and mean MLRange is 7.3, in parallel, the mean CBMS score was 46 (p. 810, 3.2): applying the regression equation give 1.3-7.3=46 ! Maybe I do not understand the methodology, but that must be clarified.


      This comment, imported by Hypothesis from PubMed Commons, is licensed under CC BY.

  2. Feb 2018
    1. On 2015 Jun 12, Philippe Terrier commented:

      There is a very unlikely result in table 3: the authors report regression result for the dependent variable CBMS: 1.000 x APStdDev - 1.000 x MLRange, R<sup>2</sup> =1.000 . This is a perfect prediction, which is impossible given the variability reported in table 1. Moreover, mean APSstDev is 1.3 (table 1) and mean MLRange is 7.3, in parallel, the mean CBMS score was 46 (p. 810, 3.2): applying the regression equation give 1.3-7.3=46 ! Maybe I do not understand the methodology, but that must be clarified.


      This comment, imported by Hypothesis from PubMed Commons, is licensed under CC BY.