Estimators and confidence intervals of f

Bias Computer Simulation Confidence Intervals Models, Statistical Sample Size Solubility
Bootstrap Confidence interval Dissolution profiles comparison Percentile interval Similarity factor

Journal

Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 06 05 2021
accepted: 28 09 2021
pubmed: 14 10 2021
medline: 17 11 2021
entrez: 13 10 2021
Statut: ppublish

Résumé

The most widely used method to compare dissolution profiles is the similarity factor f One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f When combined with different types of confidence intervals, the estimated f The best combinations of estimator and type of confidence interval are f^

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
The most widely used method to compare dissolution profiles is the similarity factor f
METHODS METHODS
One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f
RESULTS RESULTS
When combined with different types of confidence intervals, the estimated f
CONCLUSION CONCLUSIONS
The best combinations of estimator and type of confidence interval are f^

Identifiants

DOI: 10.1016/j.cmpb.2021.106449 PMID: 34644663
pubmed: 34644663
pii: S0169-2607(21)00523-X
doi: 10.1016/j.cmpb.2021.106449
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106449

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Zhengguo Xu (Z)

Department of Pharmacokinetics, Towa Pharmaceutical Europe, S.L., Polgono Industrial de Martorelles, Barcelona, 08107, Spain; Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain. Electronic address: zhengguo@alumni.uv.es.

Matilde Merino-Sanjuan (M)

Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, Polytechnic University of Valencia-University of Valencia, Valencia, Spain. Electronic address: matilde.merino@uv.es.

Victor Mangas-Sanjuan (V)

Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, Polytechnic University of Valencia-University of Valencia, Valencia, Spain. Electronic address: victor.mangas@uv.es.

Alfredo García-Arieta (A)

Division de Farmacologa y Evaluacin Clnica, Departamento de Medicamentos de Uso Humano, Agencia Espaola de Medicamentos y Productos Sanitarios, Calle Campezo 1, Edificio 8, Madrid, 28022, Spain. Electronic address: agarciaa@aemps.es.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Facteurs épidémiologiques › Biais (épidémiologie) › Estimators and confidence intervals of f
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Simulation numérique › Estimators and confidence intervals of f
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Intervalles de confiance › Estimators and confidence intervals of f
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Modèles statistiques › Estimators and confidence intervals of f
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Taille de l'échantillon › Estimators and confidence intervals of f
questionsmedicales.fr › Phénomènes chimiques › Solubilité › Estimators and confidence intervals of f