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http://hdl.handle.net/1942/18647
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DC Field | Value | Language |
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dc.contributor.author | ALONSO ABAD, Ariel | - |
dc.contributor.author | VAN DER ELST, Wim | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | BURZYKOWSKI, Tomasz | - |
dc.contributor.author | BUYSE, Marc | - |
dc.date.accessioned | 2015-04-10T07:31:27Z | - |
dc.date.available | 2015-04-10T07:31:27Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Biometrics, 71(1), p. 15-24 | - |
dc.identifier.issn | 0006-341X | - |
dc.identifier.uri | http://hdl.handle.net/1942/18647 | - |
dc.description.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. | - |
dc.description.sponsorship | Financial support from the IAP research network #P7/06 ofthe Belgian Government (Belgian Science Policy) is gratefully acknowledged. The research leading to these results has alsoreceived funding from the European Seventh Framework pro-gramme [FP7 2007–2013] under grant agreement No. 602552. | - |
dc.language.iso | en | - |
dc.rights | © 2014, The International Biometric Society. | - |
dc.subject.other | causal-inference; meta-analytic approach; surrogate endpoints | - |
dc.title | On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 24 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 15 | - |
dc.identifier.volume | 71 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Alonso, A (reprint author), Maastricht Univ, Dept Methodol & Stat, NL-6200 MD Maastricht, Netherlands. ariel.alonso@maastrichtuniversity.nl | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1111/biom.12245 | - |
dc.identifier.isi | 000352585700003 | - |
item.validation | ecoom 2016 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.fullcitation | ALONSO ABAD, Ariel; VAN DER ELST, Wim; MOLENBERGHS, Geert; BURZYKOWSKI, Tomasz & BUYSE, Marc (2015) On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints. In: Biometrics, 71(1), p. 15-24. | - |
item.contributor | ALONSO ABAD, Ariel | - |
item.contributor | VAN DER ELST, Wim | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | BURZYKOWSKI, Tomasz | - |
item.contributor | BUYSE, Marc | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
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Alonso_et_al-2014-Biometrics.pdf Restricted Access | Published version | 277.16 kB | Adobe PDF | View/Open Request a copy |
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