Results 71 to 80 of about 14,233,615 (186)

geoCount: An R Package for the Analysis of Geostatistical Count Data

Journal of Statistical Software, 2015
We describe the R package geoCount for the analysis of geostatistical count data. The package performs Bayesian analysis for the Poisson-lognormal and binomial-logitnormal spatial models, which are subclasses of the class of generalized linear spatial ...
Liang Jing, Victor De Oliveira
doaj   +1 more source

The Global Burden and Temporal Trends of Psoriasis, 1990–2021: Implications From the COVID‐19 Pandemic

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Psoriasis can lead to the occurrence of various chronic diseases. However, the detailed reports of psoriasis before and after COVID‐19 are limited. The present study aimed to investigate the global prevalence, incidence, and death and disability adjusted life years (DALYs) of psoriasis with age and sex differences from 1990
Yunda Guo, Jie Yang, Minglu Xiao, Zhiyan Zhang, Kui Ma, Xiaobing Fu, Siming Yang   +6 more
wiley   +1 more source

Bayesian Inference for multivariate spatial models with INLA [PDF]

Bayesian methods and software for spatial data analysis are well-established now in the broader scientific community generally, and in the spatial data analysis community specifically.
Cameletti, Michela, Rue, Håvard, Gómez Rubio, Virgilio, Bivand, Roger S., Palmí Perales, Francisco   +4 more
core   +1 more source

Identifying the climatic drivers of honey bee disease in England and Wales

Scientific Reports, 2021
Honey bee colony health has received considerable attention in recent years, with many studies highlighting multifactorial issues contributing to colony losses.
Ben W. Rowland, Stephen P. Rushton, Mark D. F. Shirley, Mike A. Brown, Giles E. Budge   +4 more
doaj   +1 more source

Global, Regional, and National Burden of Self‐Harm and Projections to 2030: A Systematic Analysis for the Global Burden of Disease Study 2021

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, Yushen Dai, Junyan Xi, Stefanos Tyrovolas, Yin Karis Ngai, Yufei Lu, Janelle Yorke, Yan Li   +7 more
wiley   +1 more source

Flexible modelling of spatial variation in agricultural field trials with the R package INLA [PDF]

, 2019
The objective of this paper was to fit different established spatial models for analysing agricultural field trials using the open-source R package INLA.
Steinsland, Ingelin, Selle, Maria, Hickey, John M., Hickey, John, Gorjanc, Gregor, Gorjanc, Gregor; id_orcid, Lie Selle, Maria   +6 more
core   +1 more source

A Bayesian Spatiotemporal Model for Joint Estimation of Brain Activation and Connectivity in fMRI Studies

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, Yuliya Shapovalova, Ioan Gabriel Bucur, Charlotte Cambier van Nooten, Giancarlo Valente, Tom Heskes   +5 more
wiley   +1 more source

Bayesian Inference for Multivariate Spatial Models with R-INLA [PDF]

, 2023
Bayesian methods and software for spatial data analysis are generally well established now in the scientific community. Despite the wide application of spatial models, the analysis of multivariate spatial data using the integrated nested Laplace ...
Bivand, Roger S, Palmí-Perales, Francisco, Gómez-Rubio, Virgilio, Cameletti, Michela, Rue, Haavard   +4 more
core  

JSTMapp: A web-based joint spatiotemporal modelling and mapping application for epidemiologists.

PLoS ONE
Disease mapping models help create disease risk maps, which public health policymakers can use to design disease control and monitoring programmes.
Alfred Ngwira, Samuel O M Manda, Esron D Karimuribo, Sharadhuli I Kimera   +3 more
doaj   +1 more source

Joint Models of Two Longitudinal Biomarkers and Clustered Survival Data for Cluster‐Informed Dynamic Prediction With Application to Periodontitis

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, Laurent Briollais, Aya A. Mitani   +2 more
wiley   +1 more source