A reflection on the causal interpretation of individual-level surrogacy. Issue 3 (4th May 2019)

• Record Type: Journal Article
• Authors: Alonso, Ariel; Van Der Elst, Wim; Molenberghs, Geert; Florez, Alvaro J.
• Is Part Of: Journal of biopharmaceutical statistics. Volume 29:Issue 3(2019)
• Page Start: 529
• Page End: 540
• Publication Date: 2019-05-04
• Subjects: Causal inference -- meta-analytic approach -- maximum entropy -- surrogate endpoints; Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2019.1579221
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: At the beginning of the 21st century, a new paradigm was introduced for the evaluation of surrogate endpoints based on meta-analysis. In this paradigm, the putative surrogate is assessed at two different levels, the so-called, trial and individual level. Trial level surrogacy is defined as the association between the expected causal treatment effects across different trials populations, whereas the individual level is defined as the association between the surrogate and true endpoints, after adjusting by trial and treatment. It has been argued that the individual level surrogacy does not have a causal interpretation and, consequently, it is a poor metric of surrogacy. In the present work, an alternative definition of individual level surrogacy is introduced based on individual causal treatment effects. In addition, using the maximum entropy principle, a direct link between the individual level surrogacy, as defined in the meta-analytic approach, and the newly proposed definition is established. This new perspective sets the individual level surrogacy in a more coherent framework with respect to the trial level and bridges the two main schools of thought in this domain, namely, the causal inference and meta-analytic schools.