Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic

A Cosandey-Godin, ET Krainski, B Worm… - Canadian Journal of …, 2015 - cdnsciencepub.com
Understanding and reducing the incidence of accidental bycatch, particularly for vulnerable
species such as sharks, is a major challenge for contemporary fisheries management. Here …

Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations

D Rustand, J Van Niekerk, ET Krainski, H Rue… - …, 2024 - academic.oup.com
Modeling longitudinal and survival data jointly offers many advantages such as addressing
measurement error and missing data in the longitudinal processes, understanding and …

Determinants of multidrug‐resistant tuberculosis in São Paulo—Brazil: a multilevel Bayesian analysis of factors associated with individual, community and access to …

LH Arroyo, M Yamamura, ACV Ramos… - Tropical Medicine & …, 2020 - Wiley Online Library
Objective Multidrug‐resistant tuberculosis (MDR‐TB) remains a serious public health
problem worldwide. Accordingly, this study sought to identify individual, community and …

[HTML][HTML] Using Bayesian spatial models to map and to identify geographical hotspots of multidrug-resistant tuberculosis in Portugal between 2000 and 2016

O Oliveira, AI Ribeiro, ET Krainski, T Rito, R Duarte… - Scientific reports, 2020 - nature.com
Multidrug-resistant tuberculosis (MDR-TB) is a major threat to the eradication of tuberculosis.
TB control strategies need to be adapted to the necessities of different countries and …

Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations

D Rustand, J van Niekerk, ET Krainski, H Rue… - arXiv preprint arXiv …, 2022 - arxiv.org
Joint modeling longitudinal and survival data offers many advantages such as addressing
measurement error and missing data in the longitudinal processes, understanding and …

The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

AI Ribeiro, ET Krainski, MS Carvalho… - Geospatial …, 2017 - geospatialhealth.net
Spatial inequalities in old-age survival exist in Portugal and might be associated with factors
pertaining to three distinct domains: socioeconomic, physical environmental and healthcare …

Where do people live longer and shorter lives? An ecological study of old-age survival across 4404 small areas from 18 European countries

AI Ribeiro, ET Krainski, MS Carvalho… - J Epidemiol Community …, 2016 - jech.bmj.com
Background Further increases in life expectancy in high-income countries depend to a large
extent on advances in old-age survival. We aimed to characterise the spatial distribution of …

[PDF][PDF] Statistical analysis of space-time data: New models and applications

ET Krainski - 2018 - ntnuopen.ntnu.no
This thesis is divided into four parts. In the first part considers the stochastic partial
differential equation-SPDE approach to define non-separable space-time models. A review …

[HTML][HTML] Vaccination coverage and adherence to a dengue vaccination program in the state of Paraná, Brazil

C Preto, AM de Mello, EMCP Maluf, ET Krainski… - Vaccine, 2021 - Elsevier
The success of vaccination programs depends on the level of acceptance of the vaccine to
achieve high vaccine coverage rates (VCR). Vaccine hesitancy is a challenge, especially …

Bayesian survival analysis with INLA

D Alvares, J van Niekerk, ET Krainski, H Rue… - arXiv preprint arXiv …, 2022 - arxiv.org
This tutorial shows how various Bayesian survival models can be fitted using the integrated
nested Laplace approximation in a clear, legible, and comprehensible manner using the …