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Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient

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...

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Detalles Bibliográficos
Autores principales: Rocco, Paolo, Cilurzo, Francesco, Minghetti, Paola, Vistoli, Giulio, Pedretti, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540710/
https://www.ncbi.nlm.nih.gov/pubmed/28795106
http://dx.doi.org/10.1016/j.dib.2017.07.045
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author Rocco, Paolo
Cilurzo, Francesco
Minghetti, Paola
Vistoli, Giulio
Pedretti, Alessandro
author_facet Rocco, Paolo
Cilurzo, Francesco
Minghetti, Paola
Vistoli, Giulio
Pedretti, Alessandro
author_sort Rocco, Paolo
collection PubMed
description 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.
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spelling pubmed-55407102017-08-09 Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient Rocco, Paolo Cilurzo, Francesco Minghetti, Paola Vistoli, Giulio Pedretti, Alessandro Data Brief Pharmacology, Toxicology and Pharmaceutical Science 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. Elsevier 2017-07-23 /pmc/articles/PMC5540710/ /pubmed/28795106 http://dx.doi.org/10.1016/j.dib.2017.07.045 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Pharmacology, Toxicology and Pharmaceutical Science
Rocco, Paolo
Cilurzo, Francesco
Minghetti, Paola
Vistoli, Giulio
Pedretti, Alessandro
Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title_full Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title_fullStr Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title_full_unstemmed Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title_short Simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
title_sort simulation data for an estimation of the maximum theoretical value and confidence interval for the correlation coefficient
topic Pharmacology, Toxicology and Pharmaceutical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540710/
https://www.ncbi.nlm.nih.gov/pubmed/28795106
http://dx.doi.org/10.1016/j.dib.2017.07.045
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