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Estimation of prevalence in rare disease using pooled samples
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| The use of pooled samples for screening infected individuals is a known procedure to reduce costs. In an estimation problem, the aim is only to determine how many individuals are infected instead of determining who is infected (classification problem). In that setting, our goal was to compare the performance of using one or two-dimensional arrays. The best performance was established according to one of the following criteria: minimizing the number of individuals or the number of tests required to attain a certain estimate accuracy. It is observed that when we want to minimize the number of individuals used, the two-dimensional procedures have a little advantage over the one-dimensional procedures. However, when the major concern is the cost, the one-dimensional procedures clearly outperform the two-dimensional procedures. | 287.01 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The use of pooled samples for screening infected individuals is a known procedure to reduce costs. In an estimation problem, the aim is only to determine how many individuals are infected instead of determining who is infected (classification problem). In that setting, our goal was to compare the performance of using one or two-dimensional arrays. The best performance was established according to one of the following criteria: minimizing the number of individuals or the number of tests required to attain a certain estimate accuracy. It is observed that when we want to minimize the number of individuals used, the two-dimensional procedures have a little advantage over the one-dimensional procedures. However, when the major concern is the cost, the one-dimensional procedures clearly outperform the two-dimensional procedures.
Descrição
International Conference on Mathematical Models & Computational Techniques in Science & Engineering, 22-24 February 2020
Palavras-chave
Diagnosis One dimensional Screening Estimation
Contexto Educativo
Citação
J. P. Martins et al 2020 J. Phys.: Conf. Ser. 1564 012028. DOI: https://doi.org/10.1088/1742-6596/1564/1/012028.
Editora
IOP Publishing