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@ARTICLE{Arndt:147402,
author = {V. Arndt$^*$ and B. Holleczek and H. Kajüter and S.
Luttmann and A. Nennecke and S. R. Zeissig and K. Kraywinkel
and A. Katalinic},
title = {{D}ata from {P}opulation-based {C}ancer {R}egistration for
{S}econdary {D}ata {A}nalysis: {M}ethodological {C}hallenges
and {P}erspectives.},
journal = {Das Gesundheitswesen},
volume = {82},
number = {S01},
issn = {1439-4421},
address = {Stuttgart [u.a.]},
publisher = {Thieme},
reportid = {DKFZ-2019-02519},
pages = {S62-S71},
year = {2020},
note = {2020 Mar;82(S 01):S62-S71#EA:C071#},
abstract = {Population-based cancer registries have a long-standing
role in cancer monitoring. Scientific use of cancer registry
data is one important purpose of cancer registration, but
use of cancer registry data is not restricted to cancer
registries. Cancer registration in Germany is currently
heading towards population-based collection of detailed
clinical data. This development together with additional
options for record linkage and long-term follow-up will
offer new opportunities for health services and outcome
research. Both regional population-based registries and the
German Centre for Cancer Registry Data (ZfKD) at the Robert
Koch-Institute as well as international cancer registries
and consortia or organizations may provide external
researchers access to individual or aggregate level data for
secondary data analysis. In this review, we elaborate on the
access to cancer registry data for research purposes,
availability of specific data items, and options for data
linkage with external data sources. We also discuss as well
as on limitations in data availability and quality, and
describe typical biases in design and analysis.},
cin = {M110 / C071},
ddc = {610},
cid = {I:(DE-He78)M110-20160331 / I:(DE-He78)C071-20160331},
pnm = {313 - Cancer risk factors and prevention (POF3-313)},
pid = {G:(DE-HGF)POF3-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31663107},
doi = {10.1055/a-1009-6466},
url = {https://inrepo02.dkfz.de/record/147402},
}