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Steering the synthesis of Fe3O4 nanoparticles under sonication by using a fractional factorial design
(Elsevier, 2021)
info:eu-repo/semantics/article,
Superparamagnetic iron oxide nanoparticles (MNPs) have the potential to act as heat sources in magnetic hyperthermia. The key parameter for this application is the specific absorption rate (SAR), which must be as large as ...
Spatial gender-age-period-cohort analysis of pancreatic cancer mortality in Spain (1990-2013)
(Public Library of Science, 2017)
info:eu-repo/semantics/article,
Recently, the interest in studying pancreatic cancer mortality has increased due to its high
lethality. In this work a detailed analysis of pancreatic cancer mortality in Spanish provinces
was performed using recent data. ...
Checking unimodality using isotonic regression: an application to breast cancer mortality rates
(Springer, 2016)
info:eu-repo/semantics/article,
In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear ...
Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia
(Public Library of Science, 2018)
info:eu-repo/semantics/article,
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence ...
Evaluating recent methods to overcome spatial confounding
(Springer, 2022)
Artículo / Artikulua,
The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding in spatial regression models is the change ...
Using RGISTools to estimate water levels in reservoirs and lakes
(MDPI, 2020)
info:eu-repo/semantics/article,
The combination of freely accessible satellite imagery from multiple programs improves the spatio-temporal coverage of remote sensing data, but it exhibits barriers regarding the variety of web services, file formats, and ...
Big problems in spatio-temporal disease mapping: methods and software
(Elsevier, 2023)
Artículo / Artikulua,
Background and objective: Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective of this paper is ...
Online relative risks/rates estimation in spatial and spatio-temporal disease mapping
(Elsevier, 2019)
info:eu-repo/semantics/article,
Background and objective: Spatial and spatio-temporal analyses of count data are crucial in epidemiology and other fields to unveil spatial and spatio-temporal patterns of incidence and/or mortality risks. However, fitting ...
On the performances of trend and change-point detection methods for remote sensing data
(MDPI, 2020)
info:eu-repo/semantics/article,
Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ...
Small area variations in non-affective first-episode psychosis: the role of socioeconomic and environmental factors
(Springer, 2023)
Artículo / Artikulua,
Background: There is strong evidence supporting the association between environmental factors and increased risk of non-affective psychotic disorders. However, the use of sound statistical methods to account for spatial ...