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

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalJournal of biopharmaceutical statistics
Early online date30 Dec 2019
DOIs
Publication statusE-pub ahead of print - 30 Dec 2019

Fingerprint

Dive into the research topics of 'Evaluation of surrogacy in the multi-trial setting based on information theory: an extension to ordinal outcomes'. Together they form a unique fingerprint.

Cite this