Results 51 to 60 of about 14,233,615 (186)
Crime ScienceCrime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source
Brazilian Journal of Infectious Diseases, 2020 Introduction: Use of antibiotic and bacterial resistance is the result of a complex interaction not completely understood. Objectives: To evaluate the impact of entire antimicrobial use (community plus hospitals) on the incidence of bloodstream ...
Ícaro Boszczowski +7 more
doaj +1 more source
Australian Veterinary Journal, EarlyView.Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen +10 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
hrue/r-inla: This is the public repository for the r-inla project
, 2020 This is the public repository for the r-inla ...
Niekerk, Janet van +3 more
core
R script for fitting Bayesian spatiotemporal zero-inflated models using INLA
, 2023 This R code illustrates the steps of fitting Bayesian spatiotemporal zero-inflated models with INLA.
Hui Luan (14300165)
core +1 more source
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data. [PDF]
PLoS ONE, 2017 Statistical approaches for inferring the spatial distribution of taxa (Species Distribution Models, SDMs) commonly rely on available occurrence data, which is often clumped and geographically restricted.
David W Redding +3 more
doaj +1 more source
A spatiotemporal analysis of Salmonella bacteraemia in Queensland, 2010–2019
Internal Medicine Journal, EarlyView.Abstract Background Salmonellosis contributes to a significant burden on global healthcare systems. The impact of this foodborne bacterium is more pronounced when the infection is invasive, leading to bacteraemia and sepsis. Studies on invasive salmonellosis are few, and there is an urgent need to understand the spatial distribution of bacteraemia and ...
Naveen Manchal +3 more
wiley +1 more source
Graphical outputs and Spatial Cross-validation for the R-INLA package using INLAutils
, 2020 Statistical analyses proceed by an iterative process of model fitting and checking. The R-INLA package facilitates this iteration by fitting many Bayesian models much faster than alternative MCMC approaches. As the interpretation of results and model objects from Bayesian analyses can be complex, the R package INLAutils provides users with easily ...
Lucas, Tim +2 more
openaire +2 more sources
Journal of Health, Population and Nutrition, 2021 The global prevalence of overweight (including obesity) in children under 5 years of age was 7% in 2012, and it is expected to rise to 11% by the year 2025.
Owen Paweni Loss Mtambo +1 more
doaj +1 more source