3 citations · 4 across the 4 of their papers we have counts for
5 papers
Bayesian Models for Multivariate Difference Boundary Detection in Areal Data
Leiwen Gao, Sudipto Banerjee, Beate Ritz
Regional aggregates of health outcomes over delineated administrative units (e.g., states, counties, zip codes), or areal units, are widely used by epidemiologists to map mortality…
Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping
Leiwen Gao, Abhirup Datta, Sudipto Banerjee
Disease mapping is an important statistical tool used by epidemiologists to assess geographic variation in disease rates and identify lurking environmental risk factors from spatia…
Explaining the Decline of Child Mortality in 44 Developing Countries: A Bayesian Extension of Oaxaca Decomposition Methods
Antonio P. Ramos, Martin J. Flores, Leiwen Gao +2
We investigate the decline of infant mortality in 42 low and middle income countries (LMIC) using detailed micro data from 84 Demographic and Health Surveys. We estimate infant mor…
Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs
Leiwen Gao, Sudipto Banerjee, Abhirup Datta
Disease maps are an important tool in cancer epidemiology used for the analysis of geographical variations in disease rates and the investigation of environmental risk factors unde…
Spatial disease mapping using Directed Acyclic Graph Auto-Regressive (DAGAR) models
Abhirup Datta, Sudipto Banerjee, James S. Hodges
Hierarchical models for regionally aggregated disease incidence data commonly involve region specific latent random effects that are modeled jointly as having a multivariate Gaussi…