The association of Adherence to the Mediterranean Diet with Mortality in the EPIC-Spain cohort using Flexible Parametric Survival Models

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RECERCAT Home > Universitat Politècnica de Catalunya > Tesines i projectes i treballs de final de carrera > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/88490

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Institut Català d'Oncologia
dc.contributor	Bonet Bonet, Catalina
dc.contributor	Langohr, Klaus
dc.contributor.author	Alarcón Soto, Yovaninna
dc.date	2016-06
dc.identifier.citation	FME-1294
dc.identifier.uri	http://hdl.handle.net/2117/88490
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.publisher	Universitat de Barcelona
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject	Survival analysis (Biometry)
dc.subject	Survival analysis
dc.subject	Proportional hazards
dc.subject	Splines
dc.subject	Flexible parametric model
dc.subject	Adherence to the mediterranean diet
dc.subject	Anàlisi de supervivència (Biometria)
dc.subject	Classificació AMS::62 Statistics::62N Survival analysis and censored data
dc.title	The association of Adherence to the Mediterranean Diet with Mortality in the EPIC-Spain cohort using Flexible Parametric Survival Models
dc.type	info:eu-repo/semantics/masterThesis
dc.description.abstract	In this master thesis, we have analyzed the role of the Adherence to the Mediterranean Diet (mdscore) on global mortality and have performed a comparison of Cox's proportional hazards model and the Flexible Parametric PH model proposed by Royston and Parmar (2002). This study include individuals from five Spanish regions of the European Prospective cohort into Cancer and Nutrition (EPIC-Spain). Both fitted models consider the mdscore as the main variable, are stratified by sex, center and age at recruitment, and adjusted by potential confounders such as: smoke status, BMI, physical activity, energy intake, waist circumference and educational level.

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