Work

A unifying modeling framework for highly multivariate disease mapping

Year: 2015

Type: article

Source: Statistics in Medicine

DOI: 10.1002/sim.6423

Authors: P. Botella-Rocamora, M.A. Martinez-Beneito, S. Banerjee

Institutions: Universidad Cardenal Herrera CEU, Instituto de Salud Carlos III, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, University of California, Los Angeles

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science Foundation, Ministerio de Educación, Cultura y Deporte, Ministerio de Economía y Competitividad, National Institute of General Medical Sciences

Awards: Hierarchical spatial process models for estimating and predicting health effects, G2325917698, Hierarchical models for Large Geostatistical Datasets with Application

OpenAlex ID: W2152697138

FWCI: 10.13

Cites: 25

Cited by: 56

Related to: 10