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Comparing disease screening tests when true disease status is ascertained only for screen positives.
1University of Washington, Department of Biostatistics, Box 357232, Seattle, WA 98195-7232, USA. mspepe@u.washington.edu
Biostatistics (Oxford, England)
|August 23, 2003
Summary
This study introduces a new statistical method to compare screening test accuracies when definitive diagnostic tests are not feasible for all participants. This approach allows for the evaluation of relative accuracy, aiding in selecting optimal screening strategies.
Area of Science:
- Medical screening
- Biostatistics
- Health services research
Background:
- Evaluating screening test accuracy typically requires comparison with definitive diagnostic tests.
- Definitive tests are often invasive and ethically limited to individuals with positive screening results, preventing absolute accuracy assessment.
- This limitation is common in cancer screening, where biopsies are only performed on screen-positive cases.
Purpose of the Study:
- To develop a statistical framework for comparing the relative accuracy of screening tests when definitive diagnostic data are only available for screen-positive individuals.
- To enable the evaluation of factors influencing the relative accuracies of different screening modalities.
- To provide methods for determining when one screening test may be preferable to another.
Main Methods:
- Development of a marginal regression analysis framework to infer relative accuracy.
- Utilizing relative true positive rates and relative false positive rates as measures of comparative accuracy.
- Application of the framework to analyze factors affecting screening test performance in real-world studies.
Main Results:
- Demonstrated that relative accuracy can be inferred even when absolute accuracy cannot be determined.
- Established a method analogous to case-control studies for relative risk estimation.
- Identified factors influencing relative screening test accuracies in prostate and cervical cancer screening examples.
Conclusions:
- The proposed marginal regression framework allows for robust inference on relative screening test accuracy.
- This method is valuable for comparing screening modalities when full diagnostic follow-up is not possible.
- Understanding factors influencing relative accuracy is crucial for optimizing healthcare screening programs.