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DC Field | Value | Language |
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dc.contributor.author | VAN DER ELST, Wim | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | ALONSO ABAD, Ariel | - |
dc.date.accessioned | 2016-03-31T14:57:41Z | - |
dc.date.available | 2016-03-31T14:57:41Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | STATISTICS IN MEDICINE 35(8), p. 1281-1298 | - |
dc.identifier.issn | 0277-6715 | - |
dc.identifier.uri | http://hdl.handle.net/1942/20864 | - |
dc.description.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 | - |
dc.description.sponsorship | Financial support from the IAP research network #P7/06 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged. The research leading to these results has also received funding from the European Seventh Framework programme [FP7 2007-2013] under grant agreement no. 602552. | - |
dc.language.iso | en | - |
dc.rights | Copyright © 2015 John Wiley & Sons, Ltd. | - |
dc.subject.other | causal-inference approach; meta-analytic approach; surrogate markers; R package surrogate | - |
dc.title | Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1298 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 1281 | - |
dc.identifier.volume | 35 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Van der Elst, W (reprint author), Univ Hasselt, BioStat 1, Agoralaan 1, B-3590 Diepenbeek, Belgium. wim.Vanderelst@gmail.com | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1002/sim.6807 | - |
dc.identifier.isi | 000371683600004 | - |
item.contributor | VAN DER ELST, Wim | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | ALONSO ABAD, Ariel | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2017 | - |
item.fullcitation | VAN DER ELST, Wim; MOLENBERGHS, Geert & ALONSO ABAD, Ariel (2016) Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints. In: STATISTICS IN MEDICINE 35(8), p. 1281-1298. | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 0277-6715 | - |
crisitem.journal.eissn | 1097-0258 | - |
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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