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Title: | Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints | Authors: | VAN DER ELST, Wim MOLENBERGHS, Geert ALONSO ABAD, Ariel |
Issue Date: | 2016 | Source: | STATISTICS IN MEDICINE 35(8), p. 1281-1298 | Abstract: | Nowadays, two main frameworks for the evaluation of surrogate endpoints, based on causal-inference and metaanalysis, dominate the scene. Earlier work showed that the metrics of surrogacy introduced in both paradigms are related, although in a complex way that is difficult to study analytically. In the present work, this relationship is further examined using simulations and the analysis of a case study. The results indicate that the extent to which both paradigms lead to similar conclusions regarding the validity of the surrogate, depends on a complex interplay between multiple factors like the ratio of the between and within trial variability and the unidentifiable correlations between the potential outcomes. All the analyses were carried out using the newly developed R package Surrogate, which is freely available via CRAN | Notes: | Van der Elst, W (reprint author), Univ Hasselt, BioStat 1, Agoralaan 1, B-3590 Diepenbeek, Belgium. wim.Vanderelst@gmail.com | Keywords: | causal-inference approach; meta-analytic approach; surrogate markers; R package surrogate | Document URI: | http://hdl.handle.net/1942/20864 | ISSN: | 0277-6715 | e-ISSN: | 1097-0258 | DOI: | 10.1002/sim.6807 | ISI #: | 000371683600004 | Rights: | Copyright © 2015 John Wiley & Sons, Ltd. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2017 |
Appears in Collections: | Research publications |
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Elst_et_al-2016-Statistics_in_Medicine.pdf Restricted Access | Published version | 898.64 kB | Adobe PDF | View/Open Request a copy |
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