Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/33063
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | ALONSO ABAD, Ariel | - |
dc.contributor.author | VAN DER ELST, Wim | - |
dc.contributor.author | SANCHEZ, Lizet | - |
dc.contributor.author | Luaces, Patricia | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2021-01-07T11:16:46Z | - |
dc.date.available | 2021-01-07T11:16:46Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2021-01-06T14:01:52Z | - |
dc.identifier.citation | BIOMETRICS, 78(1), p. 35-45 | - |
dc.identifier.uri | http://hdl.handle.net/1942/33063 | - |
dc.description.abstract | Given the heterogeneous responses to therapy and the high cost of treatments, there is an increasing interest in identifying pretreatment predictors of therapeutic effect. Clearly, the success of such an endeavor will depend on the amount of information that the patient-specific variables convey about the individual causal treatment effect on the response of interest. In the present work, using causal inference and information theory, a strategy is proposed to evaluate individual predictive factors for cancer immunotherapy efficacy. In a first step, the methodology proposes a causal inference model to describe the joint distribution of the pretreatment predictors and the individual causal treatment effect. Further, in a second step, the so-called predictive causal information (PCI), a metric that quantifies the amount of information the pretreatment predictors convey on the individual causal treatment effects, is introduced and its properties are studied. The methodology is applied to identify predictors of therapeutic success for a therapeutic vaccine in advanced lung cancer. A user-friendly R library EffectTreat is provided to carry out the necessary calculations. | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject.other | causal inference | - |
dc.subject.other | multivariate predictors | - |
dc.subject.other | personalized medicine | - |
dc.subject.other | prediction of therapeutic success | - |
dc.title | Identifying individual predictive factors for treatment efficacy | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 45 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 35 | - |
dc.identifier.volume | 78 | - |
local.format.pages | 11 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Alonso, A (corresponding author), Katholieke Univ Leuven, I BioStat, B-3000 Leuven, Belgium. | - |
dc.description.notes | ariel.alonsoabad@kuleuven.be | - |
dc.description.other | Alonso, A (corresponding author), Katholieke Univ Leuven, I BioStat, B-3000 Leuven, Belgium. ariel.alonsoabad@kuleuven.be | - |
local.publisher.place | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1111/biom.13398 | - |
dc.identifier.isi | WOS:000591167700001 | - |
dc.contributor.orcid | , Ariel/0000-0003-4966-1689 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Alonso, Ariel; Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Van der Elst, Wim] Janssen Pharmaceut, Antwerp, Belgium. | - |
local.description.affiliation | [Sanchez, Lizet; Luaces, Patricia] Ctr Mol Immunol, Havana, Cuba. | - |
local.description.affiliation | [Molenberghs, Geert] Hasselt Univ, I BioStat, Diepenbeek, Belgium. | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2021 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.fullcitation | ALONSO ABAD, Ariel; VAN DER ELST, Wim; SANCHEZ, Lizet; Luaces, Patricia & MOLENBERGHS, Geert (2022) Identifying individual predictive factors for treatment efficacy. In: BIOMETRICS, 78(1), p. 35-45. | - |
item.contributor | ALONSO ABAD, Ariel | - |
item.contributor | VAN DER ELST, Wim | - |
item.contributor | SANCHEZ, Lizet | - |
item.contributor | Luaces, Patricia | - |
item.contributor | MOLENBERGHS, Geert | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
583.pdf | Peer-reviewed author version | 495.75 kB | Adobe PDF | View/Open |
Biometrics - 2020 - Alonso - Identifying individual predictive factors for treatment efficacy.pdf Restricted Access | Published version | 265.18 kB | Adobe PDF | View/Open Request a copy |
WEB OF SCIENCETM
Citations
1
checked on May 1, 2024
Page view(s)
26
checked on Jun 9, 2022
Download(s)
12
checked on Jun 9, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.