2018
DOI: 10.1111/biom.13008
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Optimal Design of Multiple-Objective Lot Quality Assurance Sampling (LQAS) Plans

Abstract: Lot Quality Assurance Sampling (LQAS) plans are widely used for health monitoring purposes. We propose a systematic approach to design multiple‐objective LQAS plans that meet user‐specified type 1 and 2 error rates and targets for selected diagnostic accuracy metrics. These metrics may include sensitivity, specificity, positive predictive value, and negative predictive value in high or low anticipated prevalence rate populations. We use Mixed Integer Nonlinear Programming (MINLP) tools to implement our design … Show more

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Cited by 3 publications
(2 citation statements)
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“…A = Highest weight (here it is 5) N =Total number in the sample For the qualitative data, field observation was carried out by personal visitation to the construction sites and collection of information. MAP surveys are derived from traditional private sector distribution surveys using Lot Quality Assurance Sampling (LQAS) (Duarte & Wong, 2019). The IDI was carried out among the six experts who were highly experienced and qualified in the field of road maintenance and construction works.…”
Section: Methodsmentioning
confidence: 99%
“…A = Highest weight (here it is 5) N =Total number in the sample For the qualitative data, field observation was carried out by personal visitation to the construction sites and collection of information. MAP surveys are derived from traditional private sector distribution surveys using Lot Quality Assurance Sampling (LQAS) (Duarte & Wong, 2019). The IDI was carried out among the six experts who were highly experienced and qualified in the field of road maintenance and construction works.…”
Section: Methodsmentioning
confidence: 99%
“…A =Highest weight (here, it is 5) N = Total number in the sample For the qualitative data, field observation was carried out by personal visitation of the construction sites and collection of information. MAP surveys are derived from traditional private sector distribution surveys using lot quality assurance sampling (LQAS) [11]. The IDI was carried out among the six experts who were highly experienced and qualified on the field of road maintenance and construction works.…”
Section: Methodsmentioning
confidence: 99%