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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| 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 |
| Sumario: | 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. |
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