Estimating the concordance correlation coefficient with skewed data

The Concordance Correlation Coefficient has been one of the key analysis measures of concordance in particular for the repeated measures outcomes in the continuous scale. The coefficient relies on a key distributional assumption of normality of the response variable. In this thesis the main estimati...

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Detalles Bibliográficos
Autor: Peón Pena, Gonzalo
Tipo de recurso: tesis de maestría
Fecha de publicación:2025
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:2117/424632
Acceso en línea:https://hdl.handle.net/2117/424632
Access Level:acceso abierto
Palabra clave:Linear models (Statistics)
Mathematical statistics
Bootstrap (Statistics)
Concordance
Models lineals (Estadística)
Estadística matemàtica
Bootstrap (Estadística)
Classificació AMS::62 Statistics::62F Parametric inference
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62J Linear inference, regression
Àrees temàtiques de la UPC::Matemàtiques i estadística
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spelling Estimating the concordance correlation coefficient with skewed dataPeón Pena, GonzaloLinear models (Statistics)Mathematical statisticsBootstrap (Statistics)ConcordanceModels lineals (Estadística)Estadística matemàticaBootstrap (Estadística)Classificació AMS::62 Statistics::62F Parametric inferenceClassificació AMS::62 Statistics::62G Nonparametric inferenceClassificació AMS::62 Statistics::62J Linear inference, regressionÀrees temàtiques de la UPC::Matemàtiques i estadísticaThe Concordance Correlation Coefficient has been one of the key analysis measures of concordance in particular for the repeated measures outcomes in the continuous scale. The coefficient relies on a key distributional assumption of normality of the response variable. In this thesis the main estimation approaches for the longitudinal CCC have been reviewed through simulation sets under distributional misspecifications, where both bayesian and bootstrap Bca approaches obtained the better coverage, but nonetheless all reviewed methods failed to reach its nominal coverage under strong right-skewness on the response variable. The application of popular transformations for the asymptotic estimate did not provide visible coverage improvements, while in the presence of a drop-out pattern robust methods that require complete case analysis were significantly limited for the longitudinal CCC estimation.Universitat Politècnica de CatalunyaCarrasco Jordan, Josep Lluís20252025-01-2420252025-02-19master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/424632reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4246322026-05-27T15:37:01Z
dc.title.none.fl_str_mv Estimating the concordance correlation coefficient with skewed data
title Estimating the concordance correlation coefficient with skewed data
spellingShingle Estimating the concordance correlation coefficient with skewed data
Peón Pena, Gonzalo
Linear models (Statistics)
Mathematical statistics
Bootstrap (Statistics)
Concordance
Models lineals (Estadística)
Estadística matemàtica
Bootstrap (Estadística)
Classificació AMS::62 Statistics::62F Parametric inference
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62J Linear inference, regression
Àrees temàtiques de la UPC::Matemàtiques i estadística
title_short Estimating the concordance correlation coefficient with skewed data
title_full Estimating the concordance correlation coefficient with skewed data
title_fullStr Estimating the concordance correlation coefficient with skewed data
title_full_unstemmed Estimating the concordance correlation coefficient with skewed data
title_sort Estimating the concordance correlation coefficient with skewed data
dc.creator.none.fl_str_mv Peón Pena, Gonzalo
author Peón Pena, Gonzalo
author_facet Peón Pena, Gonzalo
author_role author
dc.contributor.none.fl_str_mv Carrasco Jordan, Josep Lluís
dc.subject.none.fl_str_mv Linear models (Statistics)
Mathematical statistics
Bootstrap (Statistics)
Concordance
Models lineals (Estadística)
Estadística matemàtica
Bootstrap (Estadística)
Classificació AMS::62 Statistics::62F Parametric inference
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62J Linear inference, regression
Àrees temàtiques de la UPC::Matemàtiques i estadística
topic Linear models (Statistics)
Mathematical statistics
Bootstrap (Statistics)
Concordance
Models lineals (Estadística)
Estadística matemàtica
Bootstrap (Estadística)
Classificació AMS::62 Statistics::62F Parametric inference
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62J Linear inference, regression
Àrees temàtiques de la UPC::Matemàtiques i estadística
description The Concordance Correlation Coefficient has been one of the key analysis measures of concordance in particular for the repeated measures outcomes in the continuous scale. The coefficient relies on a key distributional assumption of normality of the response variable. In this thesis the main estimation approaches for the longitudinal CCC have been reviewed through simulation sets under distributional misspecifications, where both bayesian and bootstrap Bca approaches obtained the better coverage, but nonetheless all reviewed methods failed to reach its nominal coverage under strong right-skewness on the response variable. The application of popular transformations for the asymptotic estimate did not provide visible coverage improvements, while in the presence of a drop-out pattern robust methods that require complete case analysis were significantly limited for the longitudinal CCC estimation.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-24
2025
2025-02-19
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/2117/424632
url https://hdl.handle.net/2117/424632
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
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
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
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
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 15,81155

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