Bayesian knowledge integration for an in vitro–in vivo correlation model-Reference-Cited by-同舟云学术

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Bayesian knowledge integration for an in vitro–in vivo correlation model

Published:2018-09-27 Issue:5 Volume:61 Page:1104-1119
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Erhardt Elvira M.¹^ORCID,Ursino Moreno²^ORCID,Biewenga Jeike³,Jacobs Tom³,Gasparini Mauro¹^ORCID

Affiliation:

1. Department of Mathematical SciencesPolitecnico di Torino10129 Torino Italy

2. INSERM, UMRS 1138, team 22, CRCUniversity Paris DescartesSorbonne UniversityParis France

3. Janssen Research & DevelopmentPharmaceutical Companies of Johnson & Johnson2340 Beerse Belgium

Funder

Institut National Du Cancer

H2020 Marie Skłodowska-Curie Actions

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201700263

Reference46 articles.

1. Statistical assessment of dissolution and drug release profile similarity using a model-dependent approach

2. Hamiltonian Monte Carlo for hierarchical models;Betancourt M.;Current Trends in Bayesian Methodology with Applications,2015

3. Direct, differential-equation-based in-vitro–in-vivo correlation (IVIVC) method

4. Design and Analysis of Bioavailability and Bioequivalence Studies

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Correlation between cell- and tissue-based in vitro models for drug permeability screening with in vivo situation: modeling and functional extrapolation;Concepts and Models for Drug Permeability Studies;2024

2. Bayesian sequential integration within a preclinical pharmacokinetic and pharmacodynamic modeling framework: Lessons learned;Pharmaceutical Statistics;2019-04

3. Response to comments on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharm Stat17(5):593‐606, Sep/Oct 2018., DOI: https://doi.org/10.1002/pst.1873;Pharmaceutical Statistics;2019-03-14

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