The data presented in this article are related to the article titled "Molecular Dynamics as a tool for in silico screening of skin permeability" (Rocco et al., 2017) [1]. Knowledge of the confidence interval and maximum theoretical value of the correlation coefficient r can prove useful to estimate the reliability of developed predictive models, in particular when there is great variability in compiled experimental datasets. In this Data in Brief article, data from purposely designed numerical simulations are presented to show how much the maximum r value is worsened by increasing the data uncertainty. The corresponding confidence interval of r is determined by using the Fisher r→Z transform.
Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient / P. Rocco, F. Cilurzo, P. Minghetti, G. Vistoli, A. Pedretti. - In: DATA IN BRIEF. - ISSN 2352-3409. - 14(2017 Oct), pp. 291-294.
Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
P. RoccoPrimo
;F. CilurzoSecondo
;P. Minghetti;G. VistoliPenultimo
;A. PedrettiUltimo
2017
Abstract
The data presented in this article are related to the article titled "Molecular Dynamics as a tool for in silico screening of skin permeability" (Rocco et al., 2017) [1]. Knowledge of the confidence interval and maximum theoretical value of the correlation coefficient r can prove useful to estimate the reliability of developed predictive models, in particular when there is great variability in compiled experimental datasets. In this Data in Brief article, data from purposely designed numerical simulations are presented to show how much the maximum r value is worsened by increasing the data uncertainty. The corresponding confidence interval of r is determined by using the Fisher r→Z transform.File | Dimensione | Formato | |
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