An R package for an integrated evaluation of statistical approaches to cancer incidence projection.

ABSTRACT:

Background

Projection of future cancer incidence is an important task in cancer epidemiology. The results are of interest also for biomedical research and public health policy. Age-Period-Cohort (APC) models, usually based on long-term cancer registry data (> 20 yrs), are established for such projections. In many countries (including Germany), however, nationwide long-term data are not yet available. General guidance on statistical approaches for projections using rather short-term data is challenging and software to enable researchers to easily compare approaches is lacking.

Methods

To enable a comparative analysis of the performance of statistical approaches to cancer incidence projection, we developed an R package (incAnalysis), supporting in particular Bayesian models fi

SUBMITTER: Knoll M 

PROVIDER: S-EPMC7559591 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature