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Spatial and Spatio-Temporal Epidemiology|June 9, 2025
A multivariate generalized logistic approach with spatially varying nonlinear components for modeling epidemic dataMarcos O Prates, Dani Gamerman, Samuel F Candido, et al.Statistical Methods in Medical Research|April 10, 2018
Spatial extreme learning machines: An application on prediction of disease countsMarcos O PratesLifetime Data Analysis|October 13, 2006
Dynamic survival models with spatial frailtyLeonardo Soares Bastos, Dani GamermanNeuroimage|August 4, 2009
Bayesian spatiotemporal model of fMRI dataAlicia Quirós, Raquel Montes Diez, Dani GamermanStatistics in Biosciences|August 31, 2022
Irregular Shaped Small Nodule Detection Using a Robust Scan StatisticAli Abolhassani, Marcos O Prates, Safieh MahmoodiLifetime Data Analysis|December 1, 2006
Bayesian dynamic models for survival data with a cure fractionSungduk Kim, Ming-Hui Chen, Dipak K Dey, et al.Entropy (Basel, Switzerland)|August 29, 2024
Bayesian Modeling for Nonstationary Spatial Point Process via Spatial DeformationsDani Gamerman, Marcel de Souza Borges Quintana, Mariane Branco AlvesStatistics in Medicine|March 19, 2014
Relative risk estimates from spatial and space-time scan statistics: are they biased?Marcos O Prates, Martin Kulldorff, Renato M AssunçãoBiometrics|September 27, 2014
A Bayesian approach to estimate the biomass of anchovies off the coast of PerúZaida C Quiroz, Marcos O Prates, Håvard RueJournal of Agricultural, Biological, and Environmental Statistics|March 24, 2026
MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping ModelsDouglas R M Azevedo, Marcos O Prates, Dipankar BandyopadhyayPageof 4