Properties of a One-Sided Likelihood Ratio Test as Applied to Pool Screening

Hongjiang Gao, Inmaculada B. Aban and Charles R. Katholi

Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 21, 4546-4565

Abstract: In the control of tropical disease, data are typically collected using pool screening design. When eradication programs have been in place for a period of time, researchers are interested in testing whether the disease prevalence is below a certain target level using one-sided likelihood ratio test (LRT). We will investigate the finite and large-sample properties of this test statistic. Based on simulations, if the number of pools is not large enough, the LRT has inflated type I error rate. Consequently, researchers will make the critical mistake of stopping the treatment when the target level has not been reached.

Date: 2014
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DOI: 10.1080/03610926.2012.714037

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