Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Log-linear models for cancer risk among migrants.

J Kaldor1, M Khlat, D M Parkin

  • 1International Agency for Research on Cancer, Lyon, France.

International Journal of Epidemiology
|June 1, 1990
PubMed
Summary

Migrant studies help distinguish environmental and genetic cancer causes. New statistical methods accurately assess how long a migrant lives in a new country, improving cancer etiology research.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Measuring school level attributable risk to support school-based HPV vaccination programs.

BMC public health·2022
Same author

Differences in school factors associated with adolescent HPV vaccination initiation and completion coverage in three Australian states.

Vaccine·2021
Same author

Development of paediatric non-stage prognosticator guidelines for population-based cancer registries and updates to the 2014 Toronto Paediatric Cancer Stage Guidelines.

The Lancet. Oncology·2020
Same author

Migration-related changes in smoking among non-Western immigrants in France.

European journal of public health·2018
Same author

Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.

International journal of cancer·2018
Same author

Pertussis vaccination in a cohort of older Australian adults following a cocooning vaccination program.

Vaccine·2018

Area of Science:

  • Epidemiology
  • Cancer Etiology
  • Biostatistics

Background:

  • Migrant studies are crucial for understanding cancer causes, differentiating genetic and environmental factors.
  • Traditional analyses often adjust for age and sex by country of birth.
  • Existing methods may not fully capture the impact of acculturation and environmental changes over time.

Purpose of the Study:

  • To introduce novel statistical methods for analyzing migrant health data.
  • To estimate the effect of duration of residence on cancer risk in migrants.
  • To adjust for age, period, and cohort effects simultaneously.

Main Methods:

  • Log-linear modeling is employed to analyze epidemiological data.
  • Methods are adaptable for case-control studies when denominator data is limited.

Related Experiment Videos

  • The approach allows for the estimation of duration of residence effects.

    • Main Results:

    • The proposed methods provide a more nuanced understanding of cancer risk factors in migrant populations.
    • Duration of residence is shown to be a significant factor, independent of other temporal variables.
    • Demonstration of potential biases in traditional analytical approaches.

    Conclusions:

    • Advanced statistical modeling enhances the analysis of migrant health studies.
    • Accurate assessment of environmental exposures through duration of residence is vital for cancer prevention.
    • These methods offer a more robust framework for epidemiological research on migration and health.