Taylor & Francis Group
Browse
lbps_a_1696357_sm9798.docx (44.53 kB)

Evaluation of surrogacy in the multi-trial setting based on information theory: an extension to ordinal outcomes

Download (44.53 kB)
journal contribution
posted on 2019-12-30, 17:57 authored by Hannah Ensor, Christopher J. Weir

Summary: In clinical trials, surrogate outcomes are early measures of treatment effect that are used to predict treatment effect on a later primary outcome of interest: the primary outcome therefore does not need to be observed and trials can be shortened. Evaluating surrogates is a complex area as a given treatment can act through multiple pathways, some of which may circumvent the surrogate. One of the best established and practically sound approaches to surrogacy evaluation is based on information theory. We have extended this approach to the case of ordinal outcomes, which are used as primary outcomes in many medical areas. This extension provides researchers with the means of evaluating surrogates in this setting, which expands the usefulness of the information theory approach while also demonstrating its versatility.

Funding

This work was supported by the Medical Research Council; Rural and Environment Science and Analytical Services Division.

History

Usage metrics

    Journal of Biopharmaceutical Statistics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC