Spatial Cluster Detection for Weighted Outcomes Using Cumulative Geographic Residuals
type: Item
instance of: scholarly article
title: Spatial Cluster Detection for Weighted Outcomes Using Cumulative Geographic Residuals
zbMATH Open document ID: 1203.62185
author: Andrea J. Cook
author: Yi Li
author: David E. Arterburn
author: Ram C. Tiwari
published in: Biometrics
publication date: 2010-12-21T00:00:00Z
full work available at URL: paper105
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62H11
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 91D20
zbMATH DE Number: 5828349
zbMATH Keywords: body mass index
zbMATH Keywords: cumulative residuals
zbMATH Keywords: generalized estimating equations
zbMATH Keywords: socioeconomic status
zbMATH Keywords: spatial cluster detection
zbMATH Keywords: weighted linear regression
describes a project that uses: R
describes a project that uses: SaTScan
MaRDI profile type: Publication
OpenAlex ID: W2030330443
Wikidata QID: Q34009148
cites work: Spatial Cluster Detection for Censored Outcome Data
cites work: A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters
cites work: Misspecified maximum likelihood estimates and generalized linear mixed models
cites work: A functional-based distribution diagnostic for a linear model with correlated outcomes
cites work: A Spatial Scan Statistic for Survival Data
cites work: Weighted Normal Spatial Scan Statistic for Heterogeneous Population Data
cites work: A spatial scan statistic
cites work: Goodness-of-Fit Methods for Generalized Linear Mixed Models
cites work: Sensitivity Analyses for Ecological Regression
DOI: 10.1111/J.1541-0420.2009.01323.X
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