Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials
type: Item
instance of: scholarly article
title: Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials
zbMATH Open document ID: 1464.62016
author: M. Iftakhar Alam
author: Barbara Bogacka
author: D. Stephen Coad
published in: Computational Statistics and Data Analysis
publication date: 2018-08-07T00:00:00Z
full work available at URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/22491
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6914542
zbMATH Keywords: area under the concentration curve
zbMATH Keywords: continuation ratio model
zbMATH Keywords: \(D\)-optimum sampling times
zbMATH Keywords: one-compartment pharmacokinetic model
zbMATH Keywords: population pharmacokinetics
describes a project that uses: MEMSS
describes a project that uses: S-PLUS
describes a project that uses: Cubature
MaRDI profile type: Publication
OpenAlex ID: W2590308184
cites work: Q3997739
cites work: Q3445852
cites work: Adaptive designs for dose-finding based on efficacy-toxicity response
cites work: Model-oriented design of experiments
cites work: Dose finding in drug development.
cites work: Q4699452
cites work: Optimal design in random-effects regression models
cites work: Mixed-Effects Models in S and S-PLUS
cites work: Dose-Finding Based on Efficacy-Toxicity Trade-Offs
cites work: Patient‐Specific Dose Finding Based on Bivariate Outcomes and Covariates
cites work: A Strategy for Dose-Finding and Safety Monitoring Based on Efficacy and Adverse Outcomes in Phase I/II Clinical Trials
cites work: Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
cites work: Implementation of a Bayesian Design in a Dose‐Escalation Study of an Experimental Agent in Healthy Volunteers
DOI: 10.1016/J.CSDA.2017.02.009
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description: scientific article; zbMATH DE number 6914542