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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54453
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dc.contributor.authorLópez Fidalgo, Jesus F.
dc.contributor.authorGarcet Rodríguez, Sandra A.
dc.contributor.authorVarela, Gonzálo
dc.date.accessioned2019-02-18T10:54:18Z-
dc.date.available2019-02-18T10:54:18Z-
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/10553/54453-
dc.relation.ispartofRecent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment
dc.sourceRecent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment, p. 345-353
dc.titleOptimal Experimental Designs for Prediction of Morbidity after Lung Resection
dc.typeinfo:eu-repo/semantics/article
dc.typeArticle
dc.identifier.doi10.1002/0470857706.ch21
dc.identifier.scopus38749104340
dc.contributor.authorscopusid6505963016
dc.contributor.authorscopusid6504178281
dc.contributor.authorscopusid7004999385
dc.description.lastpage353
dc.description.firstpage345
dc.type2Artículo
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUIBS: Patología y Tecnología médica-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.orcid0000-0002-8158-7872-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameRodríguez Suárez, Pedro Miguel-
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