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Spatial smoothing of cancer survival: a Bayesian approach

✍ Scribed by Kåre Osnes; Odd O. Aalen

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
449 KB
Volume
18
Category
Article
ISSN
0277-6715

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✦ Synopsis

A major aim of this paper is to propose and evaluate a method for describing the geographical variation in cancer survival. A fully hierarchical Bayesian approach (FB) which incorporates spatial autocorrelation of the hazard ratios is presented. The method was tried out on data sets of breast cancer and malignant melanoma patients from a population-based cancer registry. The performance of FB was compared with an ordinary Cox proportional hazard method. For both cancers both methods localized some areas of increased and some areas of decreased cancer-speci"c survival. The estimates provided by the Cox and the FB approach resembled each other, but the FB approach gave more geographical details. In particular, the boundaries of the clusters of high or low survival provided by the FB are more realistic.

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