From Being NICE to Being Tired: Essays in Health Economics

[eng] This document is a summary of the first steps of my journey into academic research. The dissertation provides in-depth analysis of the theoretical basis of the British National Institute for Clinical Excellence (NICE) priority setting to the neonatal consequences of obstetricians’ tiredness. F...

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Detalles Bibliográficos
Autor: Serra-Burriel, Miquel
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/137200
Acceso en línea:https://hdl.handle.net/2445/137200
http://hdl.handle.net/10803/667203
Access Level:acceso abierto
Palabra clave:Economia de la salut
Estadística
Inferència
Medical economics
Statistics
Inference
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spelling From Being NICE to Being Tired: Essays in Health EconomicsSerra-Burriel, MiquelEconomia de la salutEstadísticaInferènciaMedical economicsStatisticsInference[eng] This document is a summary of the first steps of my journey into academic research. The dissertation provides in-depth analysis of the theoretical basis of the British National Institute for Clinical Excellence (NICE) priority setting to the neonatal consequences of obstetricians’ tiredness. From being NICE to being tired aims to provide a quantitative perspective of four relevant multidisciplinary topics in health economics. It contains a piece of theoretical work with simulation exercises, a piece of methodology testing with an application to experimental data and two pieces of applied work, one focused on prediction and the other on causal effects. All articles are oriented towards informing public healthcare policies, with the hope that they will inform, someday, somehow, decision-making over the topics covered here.[spa] La tesis incluye 6 capítulos, 4 de los cuáles son artículos independientes más una introducción y las conclusiones. La tesis investiga temas focales de la economía de la salud desde distintas perspectivas. El primer artículo estudia la comparativa en términos de eficiencia y equidad de distintos modelos teóricos de provisión de sanidad pública. El segundo, utilizando datos de un macro-ensayo clínico, utiliza técnicas de aprendizaje automático para la detección de efectos causales heterogéneos. El tercer artículo utiliza también métodos de aprendizaje automático para la predicción pronóstica del modo final de parto utilizando datos del universo de nacimientos en cuatro hospitales españoles. El último artículo estima el efecto causal de las cesáreas no medicamente indicadas sobre la salud de los recién nacidos.Universitat de BarcelonaBorrell, Joan-RamonUniversitat de Barcelona. Facultat d'Economia i Empresa2019info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/137200http://hdl.handle.net/10803/667203Tesis Doctorals - Facultat - Economia i Empresareponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglés(c) Serra-Burriel,, 2019info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1372002026-05-27T06:46:51Z
dc.title.none.fl_str_mv From Being NICE to Being Tired: Essays in Health Economics
title From Being NICE to Being Tired: Essays in Health Economics
spellingShingle From Being NICE to Being Tired: Essays in Health Economics
Serra-Burriel, Miquel
Economia de la salut
Estadística
Inferència
Medical economics
Statistics
Inference
title_short From Being NICE to Being Tired: Essays in Health Economics
title_full From Being NICE to Being Tired: Essays in Health Economics
title_fullStr From Being NICE to Being Tired: Essays in Health Economics
title_full_unstemmed From Being NICE to Being Tired: Essays in Health Economics
title_sort From Being NICE to Being Tired: Essays in Health Economics
dc.creator.none.fl_str_mv Serra-Burriel, Miquel
author Serra-Burriel, Miquel
author_facet Serra-Burriel, Miquel
author_role author
dc.contributor.none.fl_str_mv Borrell, Joan-Ramon
Universitat de Barcelona. Facultat d'Economia i Empresa
dc.subject.none.fl_str_mv Economia de la salut
Estadística
Inferència
Medical economics
Statistics
Inference
topic Economia de la salut
Estadística
Inferència
Medical economics
Statistics
Inference
description [eng] This document is a summary of the first steps of my journey into academic research. The dissertation provides in-depth analysis of the theoretical basis of the British National Institute for Clinical Excellence (NICE) priority setting to the neonatal consequences of obstetricians’ tiredness. From being NICE to being tired aims to provide a quantitative perspective of four relevant multidisciplinary topics in health economics. It contains a piece of theoretical work with simulation exercises, a piece of methodology testing with an application to experimental data and two pieces of applied work, one focused on prediction and the other on causal effects. All articles are oriented towards informing public healthcare policies, with the hope that they will inform, someday, somehow, decision-making over the topics covered here.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/137200
http://hdl.handle.net/10803/667203
url https://hdl.handle.net/2445/137200
http://hdl.handle.net/10803/667203
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv (c) Serra-Burriel,, 2019
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Serra-Burriel,, 2019
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat de Barcelona
publisher.none.fl_str_mv Universitat de Barcelona
dc.source.none.fl_str_mv Tesis Doctorals - Facultat - Economia i Empresa
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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