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http://hdl.handle.net/1942/20858
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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.date.accessioned | 2016-03-31T14:44:54Z | - |
dc.date.available | 2016-03-31T14:44:54Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Statistical modelling 15(6), p. 619-636 | - |
dc.identifier.issn | 1471-082X | - |
dc.identifier.uri | http://hdl.handle.net/1942/20858 | - |
dc.description.abstract | In personalized medicine medical decisions, practices and/or products are tailored to the individual patient. The idea is to provide the right patient with the right drug at the right dose at the right time. However, our current lack of ability to predict an individual patient’s treatment success for most diseases and conditions is a major challenge to achieve the goal of personalized medicine. In the present work, we argue that many of the techniques often used to evaluate predictors of therapeutic success may not be able to answer the relevant scientific questions and we propose a new validation strategy based on causal inference. The methodology is illustrated using data from a clinical trial in opiate/heroin addiction. The user-friendly R library EffectTreat is provided to carry out the necessary calculations. | - |
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 602552. | - |
dc.language.iso | en | - |
dc.subject.other | causal inference; personalized medicine; prediction of therapeutic success | - |
dc.title | Validating predictors of therapeutic success: A causal inference approach | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 636 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 619 | - |
dc.identifier.volume | 15 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Address for correspondence: Ariel Abad Alonso, I-BioStat, Kapucijnenvoer 35, blok D, bus 7001, 3000 Leuven, Belgium. E-mail: Ariel.AlonsoAbad@kuleuven.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1177/1471082X15586286 | - |
dc.identifier.isi | 000369699200006 | - |
item.accessRights | Open Access | - |
item.fullcitation | ALONSO ABAD, Ariel; VAN DER ELST, Wim & MOLENBERGHS, Geert (2015) Validating predictors of therapeutic success: A causal inference approach. In: Statistical modelling 15(6), p. 619-636. | - |
item.validation | ecoom 2017 | - |
item.contributor | ALONSO ABAD, Ariel | - |
item.contributor | VAN DER ELST, Wim | - |
item.contributor | MOLENBERGHS, Geert | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1471-082X | - |
crisitem.journal.eissn | 1477-0342 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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465.pdf | Peer-reviewed author version | 418.47 kB | Adobe PDF | View/Open |
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