Performance Measures in Dose-Finding Experiments
Resumen: In the first phase of pharmaceutical development, and assuming that the probability of positive response increases with dose, the main statistical goal is to estimate a percentile of the dose–response function for a given target ¿. We compare the Maximum Likelihood and centred isotonic regression estimators of the target dose and we discuss several performance criteria to assess inferential precision, the amount of toxicity exposure and the trade-off between them for a set of some exemplary adaptive designs. We compare these designs using graphical tools. Several scenarios are considered using simulation, including the use of several start-up rules, the change of slope of the dose-toxicity function at the target dose and also different theoretical models, as logistic, normal or skew-normal distribution functions.
Idioma: Inglés
DOI: 10.1111/insr.12363
Año: 2020
Publicado en: INTERNATIONAL STATISTICAL REVIEW 88, 3 (2020), 728-751
ISSN: 0306-7734

Factor impacto JCR: 2.217 (2020)
Categ. JCR: STATISTICS & PROBABILITY rank: 38 / 125 = 0.304 (2020) - Q2 - T1
Factor impacto SCIMAGO: 1.05 - Statistics, Probability and Uncertainty (Q2) - Statistics and Probability (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/MTM2014-53340-P
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MTM2016-77015-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2022-05-03-12:27:24)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Estadística e Investigación Operativa



 Record created 2022-05-03, last modified 2022-05-03


Versión publicada:
 PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)