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Two Stage Adaptive Pool Testing For Estimating Prevalence of a Trait: Application to HIV/AIDS prevalence in Western Kenya - Tapa blanda

Okoth, Annette Wakaanya

 
9783659275128: Two Stage Adaptive Pool Testing For Estimating Prevalence of a Trait: Application to HIV/AIDS prevalence in Western Kenya
Tapa blanda
ISBN 10: 3659275123 ISBN 13: 9783659275128
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

In this study we present a two-stage adaptive estimator of prevalence in the presence of test errors. We assume that tests are not 100% perfect. We obtain the adaptive estimator using Maximum Likelihood Estimate (MLE) method and use Fisher information to determine the variance of the estimator. We use Matlab, a statistical software for simulation and verification of the model. We analyse and discuss the properties of the constructed estimator in comparison with other existing estimators in the literature of pool testing. We also provide the confidence interval of the estimator. When the test kits have low sensitivity and specificity, we establish that the adaptive estimator outperforms other existing estimators. Further more, we demonstrate that the efficiency of the adaptive estimation scheme improves as the number of stages increases. This makes the adaptive testing scheme more ideal in areas where errors are rampant.

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Reseña del editor

In this study we present a two-stage adaptive estimator of prevalence in the presence of test errors. We assume that tests are not 100% perfect. We obtain the adaptive estimator using Maximum Likelihood Estimate (MLE) method and use Fisher information to determine the variance of the estimator. We use Matlab, a statistical software for simulation and verification of the model. We analyse and discuss the properties of the constructed estimator in comparison with other existing estimators in the literature of pool testing. We also provide the confidence interval of the estimator. When the test kits have low sensitivity and specificity, we establish that the adaptive estimator outperforms other existing estimators. Further more, we demonstrate that the efficiency of the adaptive estimation scheme improves as the number of stages increases. This makes the adaptive testing scheme more ideal in areas where errors are rampant.

Biografía del autor

Annette Wakaanya Okoth holds a Master of Science Degree in Statistics of Masinde Muliro University and a B.Ed Science Degree of Egerton University in Mathematics and Chemistry. She is a distinguished lecturer of statistics at Kibabii Diploma TTC and Mt. Kenya University. Annette is currently developing her PhD concept paper in Statistics.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3659275123
ISBN 13 
9783659275128
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible