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. Rocco
Primo
;
F. Cilurzo
Secondo
;
P. Minghetti;G. Vistoli
Penultimo
;
A. Pedretti
Ultimo
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.
numerical simulation; Fisher transform; skin permeability; maximum theoretical correlation coefficient; confidence interval around correlation coeffcient
Settore CHIM/09 - Farmaceutico Tecnologico Applicativo
ott-2017
23-lug-2017
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/521071
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