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A Maximum Likelihood Estimator for the Prevalence Rate Using Pooled Sample Tests
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Orientador(es)
Resumo(s)
Since Dorfman’s seminal work, research on methodologies involving pooled sample tests has increased significantly.Moreover, the use of pooled samples refers not only to the classification problem (identifying all the infected individuals in a population), but also refers to the problem of estimating the prevalence rate p, as Sobel and Elashoff stated. The use of compound tests is not restricted to hierarchical algorithms where the most common example is Dorfman’s two-stage procedure. Matrix schemes such as the square array algorithm or multidimensional matrices schemes in certain cases outperform Dorfman’s procedure. Maximum likelihood estimates are quite difficult to compute when a procedure does not classify all individuals. This paper presents two innovative methods to compute maximum likelihood estimates in both type of procedures.
Descrição
Conference name
5th International Conference on Risk Analysis, ICRA5 2013, Tomar
Conference date 30 May 2013 - 1 June 2013
Conference date 30 May 2013 - 1 June 2013
Palavras-chave
Compound tests Maximum likelihood estimator Prevalence rate
Contexto Educativo
Citação
Martins, João & Felgueiras, Miguel & Santos, Rui. (2014). Maximum likelihood estimation in pooled sample tests. 1618. 543-546. 10.1063/1.4897795.
Editora
Springer Nature
Coleções
Licença CC
Sem licença CC