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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18647

Title: On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints
Authors: Alonso Abad, Ariel
Van der Elst, Wim
Molenberghs, Geert
Burzykowski, Tomasz
Buyse, Marc E.
Issue Date: 2015
Citation: Biometrics, 71(1), p. 15-24
Abstract: The increasing cost of drug development has raised the demand for surrogate endpoints when evaluating new drugs in clinical trials. However, over the years, it has become clear that surrogate endpoints need to be statistically evaluated and deemed valid, before they can be used as substitutes of “true” endpoints in clinical studies. Nowadays, two paradigms, based on causal-inference and meta-analysis, dominate the scene. Nonetheless, although the literature emanating from these paradigms is wide, till now the relationship between them has largely been left unexplored. In the present work, we discuss the conceptual framework underlying both approaches and study the relationship between them using theoretical elements and the analysis of a real case study. Furthermore, we show that the meta-analytic approach can be embedded within a causal-inference framework on the one hand and that it can be heuristically justified why surrogate endpoints successfully evaluated using this approach will often be appealing from a causal-inference perspective as well, on the other. A newly developed and user friendly R package Surrogate is provided to carry out the evaluation exercise.
Notes: Alonso, A (reprint author), Maastricht Univ, Dept Methodol & Stat, NL-6200 MD Maastricht, Netherlands. ariel.alonso@maastrichtuniversity.nl
URI: http://hdl.handle.net/1942/18647
DOI: 10.1111/biom.12245
ISI #: 000352585700003
ISSN: 0006-341X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2016
Appears in Collections: Research publications

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