An evaluation of non-parametric relative risk estimators for disease maps

DOI10.1016/J.CSDA.2003.10.014zbMath1429.62510OpenAlexW2020477147WikidataQ61883628 ScholiaQ61883628MaRDI QIDQ956989

Andrew B. Lawson, Allan B. Clark

Publication date: 26 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.csda.2003.10.014

zbMATH Keywords

MCMCdisease mappinggeneralised additive modelpartition model

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function ⋮ An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates ⋮ Scaling Oversmoothing Factors for Kernel Estimation of Spatial Relative Risk ⋮ Surveillance of individual level disease maps ⋮ Surveillance of individual level disease maps ⋮ Estimation of relative risk for events on a linear network ⋮ A comparison of estimators of the geographical relative risk function

Uses Software

• KernSmooth
• GAMS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Variable bandwidth and local linear regression smoothers
• Bioenvironmental and public health statistics
• On variance estimation in nonparametric regression
• Model-Based Geostatistics
• Spatial Variation in Risk of Disease: A Nonparametric Binary Regression Approach
• Log Gaussian Cox Processes
• Bayesian Detection of Clusters and Discontinuities in Disease Maps
• Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions

This page was built for publication: An evaluation of non-parametric relative risk estimators for disease maps