RT Dissertation/Thesis
T1 Applying Joint Modelling Regression Approaches in Biomedical Data Science
A1 Díaz Louzao, Carla
K1 Joint Modelling
K1 Biomedical Data Science
K1 Multivariate Responses
K1 COVID-19
K1 Perinatal Mental Health
K1 Thyroid-Related Hormones
AB In recent years, the technological revolution is allowing the collection of anenormous amount of data of different types, creating enormously complex databases that require the collaborationof statisticians and clinicians to carry out a biomedical study with guarantees, applying the tools of data science.This requires the development of new statistical techniques. This thesis focuses on joint modelling regressionmodels for multivariate responses. Specifically, we study the cases of two and three continuous outcomes, as wellas models for longitudinal and survival data. These techniques are applied in three studies of major epidemiologicalimportance: liver damage and survival in COVID-19 patients, perinatal mental health during the COVID-19pandemic, and the study of thyroid-related hormones.
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29902
UL http://hdl.handle.net/10347/29902
LA eng
DS Minerva
RD 24 abr 2026