RT Dissertation/Thesis
T1 Contributions to flexible bivariate regression models. Applications in Medicine and Environment
A1 Lado Baleato, Óscar
K1 Bivariate regression
K1 reference regions
K1 diabetes
K1 transformation models
K1 non parametric statistics
AB 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.
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29801
UL http://hdl.handle.net/10347/29801
LA eng
DS Minerva
RD 28 abr 2026