• Login
    View Item 
    •   Academica-e
    • Departamentos y Centros - Sailak eta Ikastegiak
    • Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik]
    • Artículos de revista DEIM - EIMS Aldizkari artikuluak
    • View Item
    •   Academica-e
    • Departamentos y Centros - Sailak eta Ikastegiak
    • Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik]
    • Artículos de revista DEIM - EIMS Aldizkari artikuluak
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Performance measures in dose-finding experiments

    Thumbnail
    View/Open
    2020060192_Flournoy_PerformanceMeasures.pdf (1.851Mb)
    Date
    2020
    Author
    Flournoy, Nancy 
    Moler Cuiral, José Antonio Upna
    Plo, Fernando 
    Version
    Acceso abierto / Sarbide irekia
    xmlui.dri2xhtml.METS-1.0.item-type
    Artículo / Artikulua
    Version
    Versión publicada / Argitaratu den bertsioa
    Project Identifier
    ES/1PE/MTM2014‐53340‐P 
    ES/1PE/MTM2016‐77015‐R 
    Impact
     
     
     
    10.1111/insr.12363
     
     
     
    Show full item record
    Abstract
    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 Г. We compare the Maximum Likelihood and centred isotonic regression estimators of the target dose and we discuss several performance criteria to assess inferential preci ... [++]
    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 Г. 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. [--]
    Subject
    Adaptive designs, Optimal designs, Maximum tolerated dose, Performance criteria
     
    Publisher
    John Wiley & Sons
    Published in
    International Statistical Review, 2020, 1-24
    Departament
    Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas / Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematikak Saila
     
    Publisher version
    https://doi.org/10.1111/insr.12363
    URI
    https://hdl.handle.net/2454/37296
    Sponsorship
    Fernando Plo and Jose Moler acknowledge the financial support received from the projects Ministerio de Economía y Competitividad (MTM2014‐53340‐P) and Secretaría de Estado de Investigación, Desarrollo e Innovación (MTM2016‐77015‐R).
    Appears in Collections
    • Artículos de revista - Aldizkari artikuluak [2947]
    • Artículos de revista DEIM - EIMS Aldizkari artikuluak [108]
    Items in Academica-e are protected by copyright with all rights reserved, unless otherwise noted.

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback
     

     

    Browse

    All of Academica-eCommunities & CollectionsAuthorsAuthors By Issue DateTitlesSubjectsBy DegreeThis CollectionAuthorsAuthors By Issue DateTitlesSubjectsBy Degree

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback