Publication
Stochastic response surface methodology: a study in the human health area
datacite.subject.sdg | 03:Saúde de Qualidade | pt_PT |
dc.contributor.author | Oliveira, Teresa | |
dc.contributor.author | Leal, Maria da Conceição Dias | |
dc.contributor.author | Oliveira, Amilcar | |
dc.date.accessioned | 2023-08-02T11:55:08Z | |
dc.date.available | 2023-08-02T11:55:08Z | |
dc.date.issued | 2015-03-10 | |
dc.description.abstract | In this paper we review Stochastic Response Surface Methodology as a tool for modeling uncertainty in the context of Risk Analysis. An application in the survival analysis in the breast cancer context is implemented with R software. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1063/1.4913052 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.2/14709 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | AIP Publishing | pt_PT |
dc.relation | 2014 - Strategic Project | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Uncertainty | pt_PT |
dc.subject | Stochastic response surface methodology | pt_PT |
dc.subject | Risk analysis | pt_PT |
dc.subject | Polynomial chaos | pt_PT |
dc.subject | Breast cancer prognosis | pt_PT |
dc.title | Stochastic response surface methodology: a study in the human health area | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | 2014 - Strategic Project | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAT%2FUI0006%2F2014/PT | |
oaire.citation.conferencePlace | Rodes | pt_PT |
oaire.citation.title | ICNAAM-2014. AIP Conference Proceedings | pt_PT |
oaire.citation.volume | 1648 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Oliveira | |
person.familyName | Leal | |
person.familyName | Oliveira | |
person.givenName | Teresa Azinheira | |
person.givenName | Maria da Conceição Dias | |
person.givenName | Amilcar | |
person.identifier | 1155497 | |
person.identifier | 2680983 | |
person.identifier.ciencia-id | 8814-A54B-12DE | |
person.identifier.ciencia-id | D411-9E54-8EF9 | |
person.identifier.ciencia-id | 7110-61B4-B87F | |
person.identifier.orcid | 0000-0003-3283-9946 | |
person.identifier.orcid | 0000-0003-3803-6204 | |
person.identifier.orcid | 0000-0001-5500-7742 | |
person.identifier.rid | J-3077-2019 | |
person.identifier.scopus-author-id | 54403540300 | |
person.identifier.scopus-author-id | 56790444100 | |
person.identifier.scopus-author-id | 55675222550 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | restrictedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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