Abstract
This article concerns construction of confidence intervals for the prevalence of a rare disease using Dorfman's pooled testing procedure when the disease status is classified with an imperfect biomarker. Such an interval can be derived by converting a confidence interval for the probability that a group is tested positive.Wald confidence intervals based on a normal approximation are shown to be inefficient in terms of coverage probability, even for relatively large number of pools. A few alternatives are proposed and their performance is investigated in terms of coverage probability and length of intervals.
| Original language | English |
|---|---|
| Article number | 39 |
| Journal | Frontiers in Public Health |
| Volume | 1 |
| Issue number | OCT |
| DOIs | |
| Publication status | Published - 7 Oct 2013 |
Keywords
- Confidence intervals
- Coverage probability
- Exact inference
- Pooling
- Prevalence
- Rare event
- Sensitivity
- Specificity
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
