Results 91 to 100 of about 14,233,615 (186)
US county-level food insecurity and COVID-19 mortality: a Bayesian spatial analysis with R-INLA
American Journal of EpidemiologyAbstract The objective of our study was to evaluate the relationship between county-level food insecurity (FI) and the risk of Coronavirus-2019 (COVID-19) mortality in the United States during the early pandemic (March 25, 2020-December 25, 2021), while accounting for geographic contributions to that risk.
Christian A Maino Vieytes +6 more
openaire +2 more sources
Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos
, 2021 El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a treves de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas. Entre los modelos estadísticos más incipientes en aplicaciones de MDS está la regresión bayesiana ajustada con ...
Giannini Kurina, Franca +4 more
openaire +1 more source
Bayesian spatial modeling of carbon content in Icelandic soil using R-INLA
, 2023 The aim of this paper is to explore the effectiveness of using stepwise regression with the R-INLA system for modeling different types of data. R-INLA represents a versatile statistical toolkit within the R environment, enabling swift and efficient ...
Gylfi Snær Sigurðsson 1997-
core +1 more source
BMC Public HealthIntroduction Dengue is a mosquito-borne disease caused by the dengue virus, primarily transmitted by Aedes aegypti and Aedes albopictus. Its incidence fluctuates due to spatial and temporal factors, necessitating robust modeling approaches for prediction
Marko Ferdian Salim +2 more
doaj +1 more source
Journal of Statistical SoftwareGeostatistical spatial or spatiotemporal data are common across scientific fields. However, appropriate models to analyze these data, such as generalized linear mixed effects models (GLMMs) with Gaussian Markov random fields (GMRFs), are computationally ...
Sean C. Anderson +4 more
doaj +1 more source
F1000ResearchBackground Tuberculosis (TB) continues to be a prominent contributor to global mortality, standing as the second most fatal infectious disease and holding the seventh position among the top ten causes of death in Ghana.
Francis Kwame Bukari +2 more
doaj +1 more source
A Censored Seasonal Trend Model for marine environmental time series with R-INLA [PDF]
In the context of global change, the analysis of marine environmental time series is crucial for detecting trends, seasonality, and critical threshold exceedances, thereby supporting decision-making. However, these series often present quantification limits (i.e.
Soudant, Dominique +2 more
openaire +1 more source
Generalized Additive Models (GAMs) via Bayesian P-splines using INLA
, 2019 IFCS 2015 celebrated Generalized Additive Models (GAMs) with its back-fitting algorithm. With P-splines a direct fitting algorithm is feasible. With a prior on the smoothing parameter, Bayesian GAMs are obtained, which allow credible intervals that ...
Cajo ter Braak (4511542)
core +1 more source
Scientific AfricanUnderstanding the epidemiological patterns of tuberculosis-human immunodeficiency virus (TB-HIV) co-infection over space and time is crucial because it assists in identifying areas with high risks that need special control strategies.
Legesse Kassa Debusho +1 more
doaj +1 more source
BMC MedicineBackground Lung cancer remains the most diagnosed malignancy and the leading cause of cancer-related mortality worldwide. Improving key clinical quality indicators (CQIs), including multidisciplinary meeting (MDM) presentation, supportive care screening,
Getayeneh Antehunegn Tesema +3 more
doaj +1 more source