Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by KALDOR, J
Right arrow Articles by STEINITZ, R
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by KALDOR, J
Right arrow Articles by STEINITZ, R
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 1990 Oxford University Press

research-article

Log-Linear Models for Cancer Risk among Migrants

J KALDOR*, M KHLAT*, D M PARKIN*, S SHIBOSKI** and R STEINITZ{dagger}

*International Agency for Research on Cancer, 150 Cours Albert-Thomas 69372 Lyon Cedex 08, France.
**Program in Biostatistics, University of California Berkeley, CA 94720, USA.
{dagger}Israel Centre for Registration of Cancer and Allied Diseases 20 King David Street, Jerusalem 91000, Israel.

Kaldor J (International Agency for Research on Cancer, 150 Cours Albert-Thomas, 69372 Lyon Cedex 08, France) Khlat M, Parkin D M, Shiboski S and Steinitz R. Log-linear models for cancer risk among migrants. International Journal of Epidemiology 1990, 19: 233–239.

Epidemiological studies of migrants have played an important role in separating the environmental and genetic components of cancer aetiology. The statistical analyses of these studies have typically involved calculating age- and sex-adjusted rates by country of birth. We describe methods which permit the effect of duration of residence in the host country to be estimated after adjusting for other temporal effects such as age, and period or cohort. The methods, which are based on log-linear modelling, can also be applied in a case-control manner if appropriate denominator populations are unavailable. Examples are given in which the more traditional methods of analysis may have yielded misleading results.

Revised 1 July 1989


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.