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

Outcome-oriented cutpoints in analysis of quantitative exposures

G Schulgen1, B Lausen, J H Olsen

  • 1Institut für Medizinische Biometrie und Medizinische Informatik, Albert-Ludwigs-Universität Freiburg, Germany.

American Journal of Epidemiology
|July 15, 1994
PubMed
Summary

This study introduces a statistical method to adjust risk estimates when exposure cutpoints are chosen to maximize the observed effect. This ensures more reliable results in epidemiologic data analysis, particularly for continuous exposure variables.

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

Minimal residual disease and outcome characteristics in infant KMT2A-germline acute lymphoblastic leukaemia treated on the Interfant-06 protocol.

European journal of cancer (Oxford, England : 1990)·2021
Same author

Response to: Patient-centred medical education: A proposed definition.

Medical teacher·2019
Same author

Skeletal maturation, fundamental motor skills, and motor performance in preschool children.

Scandinavian journal of medicine & science in sports·2018
Same author

A Genetic Study of Ulcerative Colitis.

Scandinavian journal of gastroenterology·2016
Same author

Familial risk of non-Hodgkin lymphoma by sex, relationship, age at diagnosis and histology: a joint study from five Nordic countries.

Leukemia·2015
Same author

Polymorphisms in the ABCB1 gene and effect on outcome and toxicity in childhood acute lymphoblastic leukemia.

The pharmacogenomics journal·2015

Area of Science:

  • Epidemiology
  • Biostatistics
  • Environmental Health

Background:

  • Epidemiologic data often involves continuous exposure variables that can be categorized using cutpoints.
  • The choice of cutpoint can significantly influence risk estimates, leading to potential bias if data-driven.
  • Existing methods lack adjustments for risk estimates derived from maximally selected exposure cutpoints.

Purpose of the Study:

  • To propose a statistical method for adjusting p-values when exposure cutpoints are selected to maximize risk differences.
  • To provide a way to correct for potential overestimation of effects due to data-oriented cutpoint selection.

Main Methods:

  • Developed a method for adjusting results derived from varying cutpoints within a specified interval.
  • Adjustment is based on the null distribution of the maximally selected test statistic.

Related Experiment Videos

  • Applied the method to a case-control study on magnetic field exposure and childhood cancer risk.

    • Main Results:

    • The proposed method allows for the correction of p-values when cutpoints are chosen to maximize measures like odds ratio or relative risk.
    • Illustrates the application of this statistical adjustment in a real-world case-control study.
    • Highlights the need for such adjustments to ensure the validity of findings from exposure-based risk assessments.

    Conclusions:

    • The proposed statistical method provides a crucial adjustment for p-values when exposure cutpoints are data-driven and selected for maximal effect.
    • This approach enhances the reliability of findings in epidemiologic studies with continuous exposure variables.
    • Further development is needed for adjusting risk estimates and confidence limits.