A spatial structural equation model with an application to area health needs

DOI10.1080/00949650802676300zbMath1187.62099OpenAlexW2090469620MaRDI QIDQ3564771

Peter Congdon

Publication date: 26 May 2010

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650802676300

zbMATH Keywords

Bayesianspatial correlationstructural equationMIMIChealth need

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Mathematical geography and demography (91D20)

Uses Software

• SemiPar

Cites Work

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• Generalized spatial structural equation models
• Sampling-Based Approaches to Calculating Marginal Densities
• Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable
• Bayesian analysis of multivariate survival data using Monte Carlo methods
• Semiparametric Regression
• Bayesian Measures of Model Complexity and Fit
• Generalized common spatial factor model
• Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data
• Does the effect of micronutrient supplementation on neonatal survival vary with respect to the percentiles of the birth weight distribution?

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