RT Journal Article
T1 Geographical differences in blood potassium detected using a structured additive distributional regression model
A1 Espasandín Domínguez, Jenifer
A1 Benítez Estévez, Alfonso Javier
A1 Cadarso Suárez, Carmen María
A1 Kneib, Thomas
A1 Barreiro Martínez, Tegra
A1 Casas Méndez, Balbina
A1 Gude, Francisco
K1 Potassium
K1 Distributional regression
K1 Spatial analysis
K1 P-splines
AB Recently, physicians in an area of northwestern Spain became concernedabout the large number of patients whose serum potassiumconcentrations were above the normal range, as well as differencesin the values recorded from one area to another. With the aim ofidentifying geographical differences in both mean and variability ofpotassium levels, analyses were performed using modern flexibleregression techniques based on a structured additive distributionalregression model. In this type of model, every parameter of aresponse distribution – rather than just the mean – is related to astructured additive predictor. After adjusting for variables such asage, sex, clot-contact time and spatial effects, differences in potassiumconcentrations were confirmed. The type of distributionalregression model used permitted the mean and variance of thepotassium concentrations to be modelled using additive predictorsthat allow for different types of covariate effects. A variety ofcomplex distributions were contemplated.
PB Elsevier
SN 2211-6753
YR 2018
FD 2018
LK http://hdl.handle.net/10347/31971
UL http://hdl.handle.net/10347/31971
LA eng
NO Jenifer Espasandín-Domínguez, Alfonso Javier Benítez-Estévez, Carmen Cadarso-Suárez, Thomas Kneib, Tegra Barreiro-Martínez, Balbina Casas-Méndez, Francisco Gude, Geographical differences in blood potassium detected using a structured additive distributional regression model, Spatial Statistics, Volume 24, 2018, Pages 1-13
NO The work was supported by grants from the Carlos III Health Institute, Spain (RD12/0005/0007,PI11/02219), a pre-doctoral grant (ED481A-2015/113) from the Galician Government (Plan I2C)-Xunta de Galicia and the German Research Foundation (DFG) grant KN 922/4-2. This study alsowas supported by the project MTM2014-52975-C2-1-R cofinanced by the Ministry of Economy andCompetitiveness (SPAIN) and the European Regional Development Fund (FEDER).
DS Minerva
RD 23 abr 2026