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Computational Pool-Testing with Retesting Strategy
Cox Lwaka Tamba, Jesse Wachira Mwangi
Pages - 47 - 54     |    Revised - 15-11-2012     |    Published - 31-12-2012
Published in International Journal of Scientific and Statistical Computing (IJSSC)
Volume - 3   Issue - 2    |    Publication Date - November / December 2012  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
Pool, Pooling, Re-Specificity, Sensitivity, Tests, Misclassifications.
ABSTRACT
Pool testing is a cost effective procedure for identifying defective items in a large population. It also improves the efficiency of the testing procedure when imperfect tests are employed. This study develops computational pool-testing strategy based on a proposed pool testing with re-testing strategy. Statistical moments based on this applied design have been generated. With advent of computers in 1980‘s, pool-testing with re-testing strategy under discussion is handled in the context of computational statistics. From this study, it has been established that re-testing reduces misclassifications significantly as compared to Dorfman procedure although re-testing comes with a cost i.e. increase in the number of tests. Re-testing considered improves the sensitivity and specificity of the testing scheme.
ABSTRACTING & INDEXING
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REFERENCES
. C. L Tamba, K. L. Nyongesa, J. W. Mwangi, (2012). “Computational Pool-Testing Strategy”.Egerton University Journal, 11:51-56.
. E. Litvak, X. M. Tu, and M. Pagano, (1994). “Screening for the presence of a disease by pooling sera samples.” Journal of the America statistical Association, 89, 424-434.
. F.K. Hwang, (1975). “A Generalized Binomial Group Testing Problem”. Journal of the American Statistical Association, 70,923- 926.
. F.K. Hwang, (1976). “Group testing with a dilution effect”. Biometrika 63, 611-613.
. L. K. Nyongesa and J. P. Syaywa, (2010). “Group Testing with Test Errors Made Easier.”International Journal of Computational Statistics. Volume (1): Issue (1).
. L. K. Nyongesa and J. P. Syaywa, (2011). “Block Testing Strategy with Imperfect Tests and its Improved Efficient Testing Model for Donor Blood.” Communication in StatisticsComputational Statistics. (Submitted).
. L. K. Nyongesa, (2005). “Hierarchical Screening with Retesting in a low Prevalence Population.”The Indian Journal of Statistics.66, 779-790.
. L. K. Nyongesa, (2010). “Dual Estimation of Prevalence and Disease Incidence in Pool-Testing Strategy.” Communication in Statistics Theory and Method. Vol. (1): Issue (1).
. M. Sobel, and P.A. Groll, (1966). “Binomial Group-Testing with an Unknown Proportion of Defectives.” American Statistical Association and American Society for Quality, 8,631-656.
. M. Sobel, and, R.M. Elashoff, (1975). “Group-testing with a new goal, Estimation.” Biometrika, 62,181-193.
. N. L. Johnson, S. Kotz, and, X Wu, (1992). “Inspection errors for attributes in quality control.”London; Chapman and Hall.
. O.T. Monzon, F.J.E Palalin, E. Dimaal, , A.M. Balis, C. Samson, and S. Mitchel, (1992).“Relevance of antibody content and test format in HIV testing of pooled sera.” AIDS, 6, 43-48.
. P. L’Ecuyer,, (2004). Uniform Random Number Generation. Handbook of Computational Statistics. Springer-Verlag, Berlin, pp. 35–70.
. R. B. Hunt, L. L. Ronald, M. R. Jonathan (2004). A Guide to MATLAB for Beginners and Experienced Users. Cambridge University Press, pp.101-119.
. R. Dorfman, (1943). “The detection of defective members of large population”. Annals of Mathematical Statistics 14, 436-440.
. R.L. Kline, T. Bothus, R. Brookmeyer, S. Zeyer,, and T. Quinn, (1989). “Evaluation of Human Immunodeficiency Virus seroprevalence in population surveys using pooled sera.” Journal of clinical microbiology, 27, 1449-1452.
. S.M. Ross, (1997). Introduction to Probability Models. 6th Edition, Academic Press, pp 4-7.
. W.L. Martinez,and A.L. Martinez,, (2002). Computational Statistics Handbook with MATLAB.Chapman & Hall/CRC, pp. 96-115.
MANUSCRIPT AUTHORS
Mr. Cox Lwaka Tamba
EGERTON UNIVERSITY - Kenya
clwaka@yahoo.com
Dr. Jesse Wachira Mwangi
EGERTON UNIVERSITY - Kenya


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