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Related Experiment Videos

Estimating age incidence from survey data with adjustments for recall errors.

W Stewart1, R Brookmyer, M Van Natta

  • 1Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21205.

Journal of Clinical Epidemiology
|January 1, 1989
PubMed
Summary

Population surveys can estimate disease incidence rates by adjusting for common recall errors. This method models reported age of onset and time since condition, improving accuracy for conditions like headaches.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health

Background:

  • Population surveys traditionally estimate disease prevalence.
  • These surveys can be adapted to estimate incidence rates.
  • Recall bias is a significant limitation in survey data.

Purpose of the Study:

  • To propose a method for estimating age-specific incidence rates from population survey data.
  • To address and adjust for common recall errors in survey responses.
  • To identify necessary data variables for accurate incidence estimation.

Main Methods:

  • Developed a statistical method to model age of onset (ONST) and time interval (LAG).
  • Adjusted for common recall errors: telescopic, false negative, and false positive reports.

Related Experiment Videos

  • Utilized migraine headache data from a large population survey in Washington County, Maryland.

    • Main Results:

    • The proposed method effectively adjusts for recall errors in survey data.
    • Migraine data analysis demonstrated the feasibility of the incidence estimation method.
    • Identified specific data points that can serve as surrogates for recall error adjustment.

    Conclusions:

    • Population surveys are a cost-effective tool for estimating age-specific incidence rates.
    • The method is particularly useful for symptom-based conditions like headaches, asthma, and mental illness.
    • Recommends collecting additional data on condition severity and respondent certainty to improve accuracy.