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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc5c1cb3435d42d28fe07d9a8a0b890f

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

About this item

Full title

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

Publisher

England: BioMed Central

Journal title

BMC medical research methodology, 2020-10, Vol.20 (1), p.257-11, Article 257

Language

English

Formats

Publication information

Publisher

England: BioMed Central

More information

Scope and Contents

Contents

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, nation...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fc5c1cb3435d42d28fe07d9a8a0b890f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc5c1cb3435d42d28fe07d9a8a0b890f

Other Identifiers

ISSN

1471-2288

E-ISSN

1471-2288

DOI

10.1186/s12874-020-01133-5

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