Inferència causal en estadística

dc.contributor.advisorFortiana Gregori, Josep
dc.contributor.authorFoguet Coll, Núria
dc.date.accessioned2021-11-18T08:58:40Z
dc.date.available2021-11-18T08:58:40Z
dc.date.issued2021-01-24
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Josep Fortiana Gregori i Anna Esteve Gómezca
dc.description.abstract[en] Causal inference is a branch of mathematics focused on the study of cause-effect relationships. In this work we introduce the basics and some of the most relevant results in the structural causal models framework with the aim to identify causal effects. As an example of implementing such techniques, we apply them to a study of the causal effect of two different treatments on the survival or progression of prostate cancer patients.ca
dc.format.extent57 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/181311
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Núria Foguet Coll, 2021
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques
dc.subject.classificationEstadística matemàticaca
dc.subject.classificationTreballs de fi de grau
dc.subject.classificationProbabilitatsca
dc.subject.classificationMostreig (Estadística)ca
dc.subject.otherMathematical statisticsen
dc.subject.otherBachelor's theses
dc.subject.otherProbabilitiesen
dc.subject.otherSampling (Statistics)en
dc.titleInferència causal en estadísticaca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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