Results 101 to 110 of about 3,307,614 (190)
Fitting logistic multilevel models with crossed random effects via Bayesian Integrated Nested Laplace Approximations: a simulation study [PDF]
, 2017 Fitting cross-classified multilevel models with binary response is challenging. In this setting a promising method is Bayesian inference through Integrated Nested Laplace Approximations (INLA), which performs well in several latent variable models.
Innocenti, Francesco; id_orcid +4 more
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Health Science Reports, Volume 9, Issue 9, September 2026.ABSTRACT Background and Aims Self‐harm is a global public health problem, yet comprehensive analyses of its trends and the impact of sociodemographic factors remain insufficient. This study aimed to systematically examine the spatial and temporal trends of self‐harm burden from 1990 to 2021 and forecast trends through 2030.
Jiaying Li +7 more
wiley +1 more source
International Journal of Applied Mathematics, Sciences, and Technology for National DefenseThe number of malaria cases in Indonesia has increased in recent years. The highest malaria cases in Indonesia are in the eastern region, namely Papua Province, where in 2021 there were 86,022 cases.
Kirana Azzahra +2 more
doaj +1 more source
Cadernos de Saúde Pública, 2013 This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil,
José Vilton Costa +2 more
doaj +1 more source
Statistics in Medicine, Volume 45, Issue 20-22, September 2026.ABSTRACT Task‐based functional magnetic resonance imaging (fMRI) experiments play a crucial role in modern data‐driven neuroscience research. These studies often aim to understand how external stimuli trigger activation in specific brain regions and to explore functional connectivity patterns among predefined regions, commonly referred to as regions of
Parisa Naseri +5 more
wiley +1 more source
Prediction in Poisson and other errors in variables models. [PDF]
, 1997 We want to be able to use information about the traffic flows at road junctions and covariates describing those junctions to predict the number of accidents occurring there. We develop here a Bayesian predictive approach. Initially we considered
Malheiro de Magalhaes, Fernando Jose
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Statistics in Medicine, Volume 45, Issue 20-22, September 2026.ABSTRACT Joint modeling of longitudinal data and time‐to‐event data have been extended to accommodate multilevel data structures. In dental studies, data often exhibit a multilevel hierarchy: each patient has multiple teeth, and one or more biomarkers are measured repeatedly over time for each tooth.
Sean Xinyang Feng +2 more
wiley +1 more source
Designing Proposal Distributions for Particle Filters using Integrated Nested Laplace Approximation [PDF]
State-space models are used to describe and analyse dynamical systems. They are ubiquitously used in many scientific fields such as signal processing, finance and ecology to name a few.
Amri, Alaa
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iScienceSummary: Expressions in social media can provide a rapid insight into people’s reactions to events, such as periods of climatic stress. This study explored the link between climatic stressors and negative sentiment on the X platform in Germany to inform ...
Tareq Al-Ahdal +6 more
doaj +1 more source
Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.ABSTRACT Irrigation districts that have long been managed around water scarcity are increasingly confronted with rapid‐onset flooding, creating new challenges for agricultural flood risk management. This study examines how personal disaster experience, village communication, and social media shape farmers' perceptions of future flood loss and planting ...
Bo Hu +7 more
wiley +1 more source