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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2023
License: CC BY NC ND
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Causalitat i grafs acíclics dirigits en estudis observacionals

Authors: Graupere Villà, David;

Causalitat i grafs acíclics dirigits en estudis observacionals

Abstract

Hom vol introduir-se dins de l’àmbit de la inferència causal i dels grafs acíclics dirigits a fi de millorar l’anàlisi estadística i causal en estudis observacionals, la seva especificació i reproductibilitat. Hom tria dos problemes per tal d’aplicar-hi el corpus teòric après dels estudiosos en inferència causal Anne Brumback i Judea Pearl: el primer problema és una revisió crítica d’un article clínic sobre la pervivència de pacients de càncer i símptomes de COVID i el segon és un problema d’enginyeria astronàutica, l’estudi de l’accident del Challenger.

Keywords

Graph theory, Grafs, Teoria de, Grafs, Teoria de, Anàlisi de variància, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Circuits::94C Circuits, networks, Classificació AMS::94 Information And Communication, Classificació AMS::94 Information And Communication, Circuits::94C Circuits, networks, Classificació AMS::62 Statistics::62F Parametric inference, Analysis of variance, Classificació AMS::62 Statistics::62P Applications

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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