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Related Experiment Videos

Estimating disease prevalence in two-phase studies.

Todd A Alonzo1, Margaret Sullivan Pepe, Thomas Lumley

  • 1Univeristy of Southern California, Keck School of Medicine, Children's Oncology Group, 440 Huntington Dr. Suite 300, P.O. Box 60012, Arcadia, CA 91066, USA. talonzo@childrensoncologygroup.org

Biostatistics (Oxford, England)
|August 20, 2003
PubMed
Summary

Estimating disease prevalence in large groups can be tricky. A semiparametric efficient method offers a robust and accurate way to estimate prevalence in two-phase studies, avoiding common biases.

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Disease prevalence estimation ideally uses a gold standard test for all subjects.
  • Practical limitations (cost, invasiveness) often necessitate two-phase study designs.
  • Naive prevalence estimates in two-phase studies can suffer from verification bias.

Purpose of the Study:

  • To compare different methods for estimating disease prevalence in two-phase studies.
  • To identify the most robust and efficient prevalence estimation method.
  • To apply the preferred method to estimate adolescent depression prevalence.

Main Methods:

  • Comparison of various prevalence estimators (imputation, re-weighting, semiparametric efficient).
  • Utilized distribution theory and simulation studies to assess bias and efficiency.

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  • Applied the semiparametric efficient approach to real-world data.

    • Main Results:

    • Naive prevalence estimates in two-phase studies are prone to bias.
    • The semiparametric efficient approach is robust and efficient.
    • This method is comparable in efficiency to imputation and re-weighting estimators.
    • The semiparametric efficient approach is easy to implement.

    Conclusions:

    • The semiparametric efficient method is the preferred approach for prevalence estimation in two-phase studies.
    • This method effectively addresses verification bias and offers reliable estimates.
    • Demonstrated the utility of this method by estimating adolescent depression prevalence.