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http://hdl.handle.net/1942/30132
Title: | A reflection on the possibility of finding a good surrogate | Authors: | ALONSO ABAD, Ariel MEYVISCH, Paul VAN DER ELST, Wim MOLENBERGHS, Geert VERBEKE, Geert |
Issue Date: | 2019 | Publisher: | TAYLOR & FRANCIS INC | Source: | JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 29(3), p. 468-477 | Abstract: | Surrogate endpoints need to be statistically evaluated before they can be used as substitutes of true endpoints in clinical studies. However, even though several evaluation methods have been introduced over the last decades, the identification of good surrogate endpoints remains practically and conceptually challenging. In the present work, the question regarding the existence of a good surrogate is addressed using information-theoretic concepts, within a causal-inference framework. The methodology can help practitioners to assess, given a clinically relevant true endpoint and a treatment of interest, the chances of finding a good surrogate endpoint in the first place. The methodology focuses on binary outcomes and is illustrated using data from the Initial Glaucoma Treatment Study. Furthermore, a newly developed and user friendly R package Surrogate is provided to carry out the necessary calculations. | Notes: | [Alonso, Ariel; Meyvisch, Paul; Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, Kapucijnenvoer 35, B-3000 Leuven, Belgium. [Van der Elst, Wim] Co Johnson & Johnson, Janssen Pharmaceut, Beerse, Belgium. [Meyvisch, Paul; Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, Diepenbeek, Belgium. [Meyvisch, Paul] Galapagos NV, Mechelen, Belgium. | Keywords: | Causal inference;Fano’s inequality;surrogate endpoints | Document URI: | http://hdl.handle.net/1942/30132 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543406.2018.1559854 | ISI #: | 000469139500004 | Rights: | 2019 Taylor & Francis | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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555b.pdf | Peer-reviewed author version | 357.5 kB | Adobe PDF | View/Open |
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