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http://hdl.handle.net/10397/26720
Title: | Improved confidence intervals of a small probability from pooled testing with misclassification | Authors: | Liu, C Liu, A Zhang, B Zhang, Z |
Issue Date: | 7-Oct-2013 | Source: | Frontiers in public health, 7 Oct. 2013, v. 1, 39, p. 1-7 | 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. | Keywords: | Confidence intervals Coverage probability Exact inference Pooling Prevalence Rare event Sensitivity Specificity |
Publisher: | Frontiers Research Foundation | Journal: | Frontiers in public health | ISSN: | 2296-2565(print) | DOI: | 10.3389/fpubh.2013.00039 | Rights: | Copyright: © 2013 Liu, Liu, Zhang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/3.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. The following publication Liu C, Liu A, Zhang B and Zhang Z (2013) Improved confidence intervals of a small probability from pooled testing with misclassification. Front. Public Health 1:39,1-7 is available at https://dx.doi.org/10.3389/fpubh.2013.00039 |
Appears in Collections: | Journal/Magazine Article |
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