Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations

Riebler, Andrea; Held, Leonhard

doi:10.1002/bimj.201500263

Public

Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations

Shared by NobleBlocks on Jan 28, 2017 • 12:00 AM UTC

Authors:

Andrea Riebler

Leonhard Held

Abstract

The projection of age‐stratified cancer incidence and mortality rates is of great interest due to demographic changes, but also therapeutical and diagnostic developments. Bayesian age–period–cohort (APC) models are well suited for the analysis of such data, but are not yet used in routine practice o...

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