Scaling Oversmoothing Factors for Kernel Estimation of Spatial Relative Risk

DOI10.1515/em-2012-0008zbMath1359.92103OpenAlexW1998820078MaRDI QIDQ2974508

Tilman M. Davies

Publication date: 10 April 2017

Published in: Epidemiologic Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/em-2012-0008

zbMATH Keywords

kernel smoothingrelative riskgeographical epidemiologyoversmoothing bandwidth

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Uses Software

• R
• spatstat
• KernSmooth

Cites Work

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• An evaluation of non-parametric relative risk estimators for disease maps
• Regression-free and robust estimation of scale for bivariate data
• Kernel estimation of relative risk
• Regression-based, regression-free and model-free approaches for robust online scale estimation
• Biased and Unbiased Cross-Validation in Density Estimation
• Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
• Applied Spatial Statistics for Public Health Data
• Inference Based on Kernel Estimates of the Relative Risk Function in Geographical Epidemiology

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