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Skip to Search Results- 3Geographic epidemiology
- 2Conditional autoregressive
- 2Generalized linear mixed model
- 1Bayesian statistic
- 1Cancer cases
- 1Disease mapping
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Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
Download2011
Torabi, Mahmoud, Rosychuk, Rhonda J.
To analyze childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004, we construct a generalized linear mixed model for the analysis of geographic and temporal variability of cancer rates. In this model, spatially correlated random e®ects and temporal components are adopted....
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2010
Rosychuk, Rhonda J., Torabi, Mahmoud
This paper studies generalized linear mixed models (GLMMs) for the analysis of geographic and temporal variability of disease rates. This class of models adopts spatially correlated random effects and random temporal components. Spatio-temporal models that use conditional autoregressive smoothing...
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An examination of five spatial disease clustering methodologies for the identification of childhood cancer clusters in Alberta, Canada
Download2011
Rosychuk, Rhonda J., Torabi, Mahmoud
Cluster detection is an important part of spatial epidemiology because it may help suggest potential factors associated with disease and thus, guide further investigation of the nature of diseases. Many different methods have been proposed to test for disease clusters. In this paper, we study...