Results 81 to 90 of about 3,307,614 (190)
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
Approximate Bayesian inference based on INLA algorithm
Statistical Theory and Related FieldsThe integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj +1 more source
survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling
Journal of Statistical Software, 2020 Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (
Gianluca Baio
doaj +1 more source
International Statistical Review, EarlyView.Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda +2 more
wiley +1 more source
How do economic and geospatial factors shape conflict? A Bayesian spatial risk approach to Nigeria
Political Science Research and MethodsEconomic and geospatial drivers of conflict are established, yet aggregate analyses often obscure subnational risk patterns. This study develops a high-resolution risk methodology for fragile, resource-rich states by combining spatial econometrics with ...
Juan José Villar-Roldán +2 more
doaj +1 more source
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
International Statistical Review, EarlyView.Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo +3 more
wiley +1 more source
Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication
Emerging Infectious Diseases, 2016 As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory
Isobel M. Blake +5 more
doaj +1 more source
Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation
, 2022 This paper aims at revisiting the classical results on Laplace approximation in a modern nonasymp-totic and dimension-free form. Such an extension is motivated by applications to high-dimensionalstatistical and optimization problems.
Vladimir Spokoiny, Spokoiny, Vladimir
core +1 more source
Journal of Evidence-Based Medicine, EarlyView.ABSTRACT Objective Cardiovascular–kidney–metabolic (CKM) syndrome links metabolic, kidney, and cardiovascular disorders, but its burden among women of reproductive age (WRA) remains poorly understood. We quantified the global burden and trends of key CKM‐related conditions and high body mass index (BMI)‐attributable burden among WRA.
Cuiping Jiang +7 more
wiley +1 more source
Breakpoint detection on latent autoregressive time series of counts using integrated nested Laplace approximation. [PDF]
, 2020 Abrupt changes in a data source can weaken models that fail at addressing these. Structural change detection has traditionally been done with a frequentist approach, but recently approaches based on Bayesian models and Markov Chain Monte Carlo (MCMC ...
Ahmed, Amir
core +1 more source