Results 41 to 50 of about 10,870,567 (191)
Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA [PDF]
, 2020 Exposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers. Consequently, the public are increasingly seeking health warnings associated with levels of PM2.5 using mobile phone applications and ...
G Shaddick (21866612) +5 more
core
meta4diag: Bayesian Bivariate Meta-Analysis of Diagnostic Test Studies for Routine Practice
Journal of Statistical Software, 2018 This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of diagnostic test studies. Our package meta4diag is a purpose-built front end of the R package INLA.
Jingyi Guo, Andrea Riebler
doaj +1 more source
Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]
, 2013 Summary 1. We highlight an emerging statistical method, integrated nested Laplace approximation (INLA), which is ideally suited for fitting complex models to many of the rich spatial data sets that ecologists wish to analyse. 2.
Gallego-Fernández, Juan B. +9 more
core +1 more source
Conservation Science and Practice, 2020 Endemic species face a variety of threats including predation from non‐native invaders. In some cases, however, invasive species can be managed by directly suppressing populations, and tracking technologies that allow researchers to identify movement ...
Lee F.G. Gutowsky +9 more
doaj +1 more source
Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping. [PDF]
, 2015 The recently developed R package INLA (Integrated Nested Laplace Approximation) is becoming a more widely used package for Bayesian inference. The INLA software has been promoted as a fast alternative to MCMC for disease mapping applications.
WATJOU, Kevin +5 more
core +1 more source
Bayesian modeling of the temporal evolution of seismicity using the ETAS.inlabru package
Frontiers in Applied Mathematics and Statistics, 2023 The epidemic type aftershock sequence (ETAS) model is widely used to model seismic sequences and underpins operational earthquake forecasting (OEF).
Mark Naylor +4 more
doaj +1 more source
Med Research, EarlyView.ABSTRACT The Global Burden of Disease (GBD) database provides essential primary data for public health research. However, its complexity and diversity pose challenges for conducting advanced secondary analyses. To address these challenges, we developed easyGBDR, an innovative integrated R toolkit designed to facilitate the secondary analysis of GBD ...
Yingying Fang +9 more
wiley +1 more source
HDsEMG data analysis using R-INLA [PDF]
, 2018 The data contains the processed EMG data, the INLA results, and the codes used to run the INLA analysis and the figures. The data is to support the submission of an article titled "A novel approach towards understanding pain-induced spatio-temporal ...
Liew, B (via Mendeley Data)
core +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
Home range shifts and habitat selection across life‐history stages in grey partridges
Wildlife Biology, EarlyView.Understanding how birds use space throughout the year is essential for effective conservation planning, even in resident species. We investigated seasonal space use in a Central European population of grey partridges Perdix perdix, a rapidly declining residential farmland bird.
Amelie Laux +2 more
wiley +1 more source