Results 91 to 100 of about 14,253 (214)

Mixtures of g-priors in Generalized Linear Models

, 2018
Mixtures of Zellner's g-priors have been studied extensively in linear models and have been shown to have numerous desirable properties for Bayesian variable selection and model averaging. Several extensions of g-priors to Generalized Linear Models (GLMs)
Clyde, Merlise A., Li, Yingbo
core   +2 more sources

Joint quantile disease mapping with application to malaria and G6PD deficiency

Royal Society Open Science
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases.
Hanan Alahmadi, Janet van Niekerk, Tullia Padellini, Håvard Rue   +3 more
doaj   +1 more source

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

Scientific Reports, 2021
Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans
Carlos Ochoa, Marta Pittavino, Sara Babo Martins, Gabriel Alcoba, Isabelle Bolon, Rafael Ruiz de Castañeda, Stéphane Joost, Sanjib Kumar Sharma, François Chappuis, Nicolas Ray   +9 more
doaj   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

Crime Science
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone   +6 more
doaj   +1 more source

Confidence Intervals for Price Discovery

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper discusses asymptotic and bootstrap confidence intervals for multivariate permanent‐transitory decompositions of cointegrated vector autoregressive I(1) systems, with a focus on price discovery. Alternative estimators of the permanent components are compared in terms of efficiency also under separable linear restrictions on the ...
Heino Bohn Nielsen, Paolo Paruolo, Anders Rahbek   +2 more
wiley   +1 more source

Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study

Infectious Diseases of Poverty
Background Malaria is a major worldwide health concern that impacts many individuals worldwide. P. falciparum is Africa’s main malaria cause. However, P.
Changkuoth Jock Chol, Denekew Bitew Belay, Haile Mekonnen Fenta, Ding-Geng Chen   +3 more
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

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

PLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin, Daniel Adyro Martínez-Bello, Antonio López-Quílez, María Dolores Ugarte   +3 more
doaj   +1 more source

Spatiotemporal Patterns and Socioeconomic Determinants of Pulmonary Tuberculosis in Piauí, Northeast Brazil, 2001–2024

Tropical Medicine &International Health, EarlyView.
ABSTRACT Background Pulmonary tuberculosis (PTB) remains a major public health problem, strongly associated with social and territorial inequalities. This study aimed to analyse temporal trends, spatiotemporal transmission patterns and socioeconomic determinants of PTB in the state of Piauí, Northeast Brazil, from 2001 to 2024.
José Mário Nunes da Silva, Viriato Campelo, Walter Massa Ramalho   +2 more
wiley   +1 more source