Results 71 to 80 of about 7,584 (197)

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

Extending the host range of Listeria monocytogenes by rational protein design [PDF]

, 2007
In causing disease, pathogens outmaneuver host defenses through a dedicated arsenal of virulence determinants that specifically bind or modify individual host molecules. This dedication limits the intruder to a defined range of hosts.
Wollert, Thomas, Gruber, A.D., Heinz, D.W., Pasche, Bastian, van den Heuvel, Joop, Heinz, Dirk W., Lengeling, A., Gruber, Achim D., Heinz, Dirk W, van den Heuvel, J., Schubert, W.D., Rochon, M., Rochon, Maike, Schubert, Wolf-Dieter, Pasche, B., Lengeling, Andreas, Deppenmeier, Stefanie, Deppenmeier, S., Gruber, Achim D, Wollert, T.   +19 more
core   +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

HDsEMG data analysis using R-INLA

, 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

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

Scalable Bayesian Quantile Regression via EM and INLA: The EM-INLA Algorithm

We propose EM-INLA, a scalable algorithm for empirical-Bayes hierarchical quantile regression that combines the Expectation-Maximization (EM) algorithm with Integrated Nested Laplace Approximations (INLA). The method exploits the normal-exponential mixture representation of the Asymmetric Laplace Distribution (ALD) to reformulate each M-step as a ...
Taborda, Tomas Rodriguez, Cardona-Jiménez, Johnatan   +1 more
openaire   +2 more sources

Fast Bayesian Restoration of Poisson Corrupted Images with INLA

CoRR, 2019
Photon-limited images are often seen in fields such as medical imaging. Although the number of collected photons on an image sensor statistically follows Poisson distribution, this type of noise is intractable, unlike Gaussian noise. In this study, we propose a Bayesian restoration method of Poisson corrupted image using Integrated Nested Laplace ...
Takahiro Kawashima, Hayaru Shouno
openaire   +2 more sources

Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas

ESPACIO I+D: Innovación más Desarrollo, 2020
El trabajo tiene como finalidad analizar la evolución de la tasa de incidencia acumulada de COVID-19 en los municipios de Chiapas, entre los meses de Febrero a Julio del año 2020, a partir de la aplicación de tres modelos bayesianos jerárquicos espacio ...
Gerardo Núñez Medina
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

Integrated Nested Laplace Approximations (INLA)

, 2019
This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire   +2 more sources