Contributions to flexible bivariate regression models. Applications in Medicine and Environment
- Lado Baleato, Óscar
- Francisco Gude Sampedro Zuzendaria
- Javier Roca Pardiñas Zuzendaria
Defentsa unibertsitatea: Universidade de Santiago de Compostela
Fecha de defensa: 2022(e)ko azaroa-(a)k 25
- Guadalupe Gómez Melis Presidentea
- César Andrés Sánchez Sellero Idazkaria
- Bruno de Sousa Kidea
Mota: Tesia
Laburpena
This thesis proposes bivariate regression models useful in clinical setting, in medical research, and in other fields. To make these models as widely as possible, no parametric restrictions for the responses variables were contemplated. A probabilistic region covering a specific percentage of the data points can be estimated for these models. This region characterises the bivariate distribution shape depending on the effect of covariates. In practical terms, this identifies which values are most likely to be observed in the general healthy population after adjusting for patient characteristics; a region containing 95% of healthy patients results as conditioned by covariates can thus be obtained for diagnostic purposes. This reference region is a natural extension of the use of reference intervals.