Bayesian Smoothing of Lung Cancer Data in Tirol, Salzburg and Vorarlberg
Due to the high variability ofML-estimates of relative risk in low population areas incidence ratios have to be smoothed before mapping. We fit a Bayesian hierarchical model where the posterior distribution of relative risks is simulated via a Markov Chain Monte Carlo technique.
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| Format: | Article |
| Language: | English |
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Austrian Statistical Society
2016-04-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/507 |