Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology

Randomised controlled clinical trials are commonly designed to study the efficacy of a new drug. Health-related quality of life (HRQoL) outcomes have been increasingly recognized as an important endpoint in cancer treatment. Recent reviews show little consensus on the analysis, interpretat...

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Detalles Bibliográficos
Autor: Villacampa Javierre, Guillermo
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/364892
Acceso en línea:https://hdl.handle.net/2117/364892
Access Level:acceso abierto
Palabra clave:Mathematical statistics
Medical statistics
Longitudinal data analysis
Mixed model
Quality of life
Clinical trials
Survival analysis
Ordinal outcomes
Estadística matemàtica
Estadística mèdica
Classificació AMS::62 Statistics
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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spelling Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncologyVillacampa Javierre, GuillermoMathematical statisticsMedical statisticsLongitudinal data analysisMixed modelQuality of lifeClinical trialsSurvival analysisOrdinal outcomesEstadística matemàticaEstadística mèdicaClassificació AMS::62 StatisticsClassificació AMS::62 Statistics::62P ApplicationsÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaRandomised controlled clinical trials are commonly designed to study the efficacy of a new drug. Health-related quality of life (HRQoL) outcomes have been increasingly recognized as an important endpoint in cancer treatment. Recent reviews show little consensus on the analysis, interpretation, and reporting of these data from a statistical perspective. In this project, we aim to understand the strengths and limitations of the current statistical approaches to evaluate quality of life data. Linear model, generalised and linear mixed models, the beta-binomial distribution, time-to-event analysis and missing data analysis will be explored. Additionally, the above approaches will be used to analyse the patient-reported HRQoL of the breast cancer phase II of the Coralleen trial (NCT03248427).Universitat Politècnica de CatalunyaGómez Melis, Guadalupe20222022-01-0120222022-03-28master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/364892reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3648922026-05-27T15:37:01Z
dc.title.none.fl_str_mv Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
title Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
spellingShingle Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
Villacampa Javierre, Guillermo
Mathematical statistics
Medical statistics
Longitudinal data analysis
Mixed model
Quality of life
Clinical trials
Survival analysis
Ordinal outcomes
Estadística matemàtica
Estadística mèdica
Classificació AMS::62 Statistics
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
title_full Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
title_fullStr Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
title_full_unstemmed Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
title_sort Statistical modelling to analyse health-related quality of life outcomes in randomised clinical trials in oncology
dc.creator.none.fl_str_mv Villacampa Javierre, Guillermo
author Villacampa Javierre, Guillermo
author_facet Villacampa Javierre, Guillermo
author_role author
dc.contributor.none.fl_str_mv Gómez Melis, Guadalupe
dc.subject.none.fl_str_mv Mathematical statistics
Medical statistics
Longitudinal data analysis
Mixed model
Quality of life
Clinical trials
Survival analysis
Ordinal outcomes
Estadística matemàtica
Estadística mèdica
Classificació AMS::62 Statistics
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Mathematical statistics
Medical statistics
Longitudinal data analysis
Mixed model
Quality of life
Clinical trials
Survival analysis
Ordinal outcomes
Estadística matemàtica
Estadística mèdica
Classificació AMS::62 Statistics
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description Randomised controlled clinical trials are commonly designed to study the efficacy of a new drug. Health-related quality of life (HRQoL) outcomes have been increasingly recognized as an important endpoint in cancer treatment. Recent reviews show little consensus on the analysis, interpretation, and reporting of these data from a statistical perspective. In this project, we aim to understand the strengths and limitations of the current statistical approaches to evaluate quality of life data. Linear model, generalised and linear mixed models, the beta-binomial distribution, time-to-event analysis and missing data analysis will be explored. Additionally, the above approaches will be used to analyse the patient-reported HRQoL of the breast cancer phase II of the Coralleen trial (NCT03248427).
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-03-28
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/364892
url https://hdl.handle.net/2117/364892
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.228081

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