Download the full-sized PDF
Permanent link (DOI): https://doi.org/10.7939/R3HD7NS4D
This file is in the following communities:
|Pediatrics, Department of|
This file is not currently in any collections.
Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends Open Access
- Author or creator
Rosychuk, Rhonda J.
- Additional contributors
generalized linear mixed model
- Type of item
- Journal Article (Published)
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. The interaction between space and time is also accommodated. Spatio-temporal models that use conditional autoregressive smoothing across the spatial di- mension and B-spline over the temporal dimension are considered. We study the patterns of incidence rates over time and identify areas with consistently high rate estimates as areas for further investigation. We apply the method of penalized quasi-likelihood to estimate the model parameters. We illustrate this approach using a yearly data set of childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004.
- Date created
- License information
- Creative Commons Attribution-Non-Commercial-No Derivatives 3.0 Unported
- Citation for previous publication
Torabi M, Rosychuk RJ (2011). Spatio-temporal Modeling Using B-spline for Disease Mapping: Analysis of Childhood Cancer Trends. Journal of Applied Statistics, 38(9), 1769-1781.
- Link to related item
- Date Uploaded
- Date Modified
- Audit Status
- Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 1203568
Last modified: 2016:06:24 18:51:33-06:00
Original checksum: e4f2c9a0b1e5af0ba70a0e6b4fd2e101
Well formed: false
Status message: Invalid object number in cross-reference stream offset=1203533