Modelling the impact of socioeconomic structure on spatial health outcomes

DOI10.1016/j.csda.2007.10.021zbMath1453.62073OpenAlexW2064117497MaRDI QIDQ961744

Peter Congdon

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.021

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Editorial. Spatial statistics: methods, models \& computation

Uses Software

• BayesDA

Cites Work

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• Bayesian Statistical Modelling
• Generalized spatial structural equation models
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian analysis of multivariate survival data using Monte Carlo methods
• Bayesian Measures of Model Complexity and Fit
• Non‐Parametric Ecological Regression and Spatial Variation
• Generalized common spatial factor model
• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data

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