-
Tytuł:
-
Optimal design of multiple-objective Lot Quality Assurance Sampling (LQAS) plans.
-
Autorzy:
-
Duarte BPM; Centro de Investigação em Processos Químicos e Produtos da Floresta, Department of Chemical Engineering, University of Coimbra, Pólo II, R. Sílvio Lima, 3030-790 Coimbra, Portugal.; Department of Chemical and Biological Engineering, ISEC, Polytechnic Institute of Coimbra, R. Pedro Nunes, 3030-199 Coimbra, Portugal.
Wong WK; Department of Biostatistics, Fielding School of Public Health, UCLA, 10833 Le Conte Ave., Los Angeles, California 90095-1772.
-
Źródło:
-
Biometrics [Biometrics] 2019 Jun; Vol. 75 (2), pp. 572-581. Date of Electronic Publication: 2019 Apr 01.
-
Typ publikacji:
-
Journal Article; Research Support, N.I.H., Extramural
-
Język:
-
English
-
Imprint Name(s):
-
Publication: Alexandria Va : Biometric Society
Original Publication: Washington.
-
MeSH Terms:
-
Epidemiological Monitoring*
Lot Quality Assurance Sampling/*methods
Computer Simulation ; Diagnostic Errors ; Humans ; Malaria/diagnosis ; Malaria/epidemiology ; Malaria/therapy ; Mozambique ; Sampling Studies ; Surveys and Questionnaires
-
References:
-
Biedron, C., Pagano, M., Hedt, B., Kilian, A., Ratcliffe, A., Mabunda, S., and Valadez, J. (2010). An assessment of lot quality assurance sampling to evaluate malaria outcome indicators: Extending malaria indicator surveys. Int J Epidemiol 39, 72-79.
Brown, A. E., Okayasu, O., Nziok, M. M., Wadood, M. Z., Chabot-Couture, G., Quddus, A., Walker, G., and Sutter, R. W. (2013). Lot quality assurance sampling to monitor suppemental immunization activity quality: An essential tool for improving performance in polio endemic countries. J Infect Dis 210, S333-340.
Deitchler, M., Valadez, J., Egge, K., Fernandez, S., and Hennigan, M. (2007). A field test of three LQAS designs to assess the prevalence of acute malnutrition. Int J Epidemiol 36, 858-864.
DiDonato, A. R. and Jarnagin, M. P. (1967). The efficient calculation of the incomplete beta function ratio for half-integer values of the parameters a, b. Math Comp 21, 652-662.
Drud, A. (1985). CONOPT: A GRG code for large sparse dynamic nonlinear optimization problems. Math Program 31, 153-191.
Duarte, B. and Saraiva, P. (2008). An optimization based approach for designing attribute acceptance sampling plans. Int J Qual Reliab Manag 25, 824-841.
Duarte, B. and Saraiva, P. (2013). Optimal design of acceptance sampling plans by variables for nonconforming proportions when the standard deviation is unknown. Commun Stat Simul Comput 42, 1318-1342.
Duran, M. A. and Grossmann, I. E. (1986). An outer-approximation algorithm for a class of mixed-integer nonlinear programs. Math Program 36, 307-339.
Fletcher, R. and Leyffer, S. (1998). Numerical experience with lower bounds for MIQP branch-and-bound. SIAM J Optim 8, 604-616.
Floudas, C. (2002). Mixed-integer nonlinear optimization. In Pardalos, P. and Resende, M., editors, Handbook of Applied Optimization, 451-475. Oxford: Oxford University Press.
GAMS Development Corporation. (2013a). GAMS -A User's Guide, GAMS Release 24.2.1. Washington, DC, USA: GAMS Development Corporation.
GAMS Development Corporation. (2013b). GAMS -The Solver Manuals, GAMS Release 24.2.1. Washington, DC, USA: GAMS Development Corporation.
Gupte, M., Murthy, B., Mahood, K., Meeralakshmi, B., Nagaraju, B., and Prabhakaran, R. (2004). Application of lot quality assurance sampling for leprosy elimination monitoring-Examination of some critical factors. Int J Epidemiol 33, 344-348.
Hund, L. (2014). New tools for evaluating LQAS survey designs. Emerg Themes Epidemiol 11, 2.
Lemeshow, S. and Taber, S. (1991). Lot quality assurance sampling plans: Single- and double-sampling plans. World Health Stat Quart 44, 115-132.
NEOS Server Team (2018). Mixed Integer Nonlinear Programming. University of Wisconsin -Madison, Madison, USA. Available at https://neos-guide.org/content/mixed-integer-nonlinear-programming.
Olives, C. and Pagano, M. (2010). Bayes-LQAS: Classifying the prevalence of global acute malnutrition. Emerg Themes Epidemiol 7, 3.
Olives, C. and Pagano, M. (2013). Choosing a design to fit the situation: How to improve specificity and positive predictive value using Bayesian lot quality assurance sampling. Int J Epidemiol 42, 346-355.
Olives, C., Pagano, M., Deitchler, M., Hedt, B., Egge, K., and Valadez, J. (2009). Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: A validation study by computer simulation. J R Stat Soc Ser A 172, 495-510.
Olives, C., Valadez, J., Brooker, S., and Pagano, M. (2012). Multiple category-lot quality assurance sampling: A new classification system with application to schistosomiasis control. PLoS Negl Trop Dis 6, 1-8.
Press, W., Teukolsky, S., Vetterling, W., Flannery, B., and Metcalf, M. (1996). Numerical Recipes in Fortran 90: Volume 2. Cambridge: Cambridge University Press.
Robertson, S. and Valadez, J. (2006). Global review of health care surveys using lot quality assurance sampling (LQAS), 1984-2004. Soc Sci Med 63, 1648-1660.
Sandiford, P. (1993). Lot quality assurance sampling for monitoring immunization programmes: Cost-efficient or quick and dirty? Health Policy Plan 8, 217-223.
Valadez, J. J. (1991). Assessing child survival programs in developing countries. Cambridge, MA: Harvard University Press.
Valadez, J., Hage, J., and Vargas, W. (2005). Understanding the relationship of maternal health behavior change and intervention strategies in a Nicaraguan NGO network. Soc Sci Med 61, 1356-1368.
Vanamail, P., Subramanian, S., Srividya, A., Ravi, R., Krishnamoorthy, K., and Das, P. K. (2006). Operational feasibililtiy of lot quality assurance sampling (LQAS) as a tool in routine process monitoring of filariasis control programmes. Trop Med Int Health 11, 1256-1263.
Westerlund, T. and Pettersson, F. (1995). An extended cutting plane method for solving convex MINLP problems. Comput Chem Eng 19, 131-136.
-
Grant Information:
-
R01 GM107639 United States GM NIGMS NIH HHS
-
Contributed Indexing:
-
Keywords: Lot Quality Assurance Sampling; Mixed Integer Nonlinear Programming; diagnostic measures; disease monitoring programs; optimal design; public health policy
-
Entry Date(s):
-
Date Created: 20181130 Date Completed: 20200129 Latest Revision: 20200129
-
Update Code:
-
20240105
-
DOI:
-
10.1111/biom.13008
-
PMID:
-
30488433
-
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 methodology. Our approach is flexible in that it can directly generate classic LQAS plans that control error rates only and find optimal LQAS plans that meet multiple objectives in terms of diagnostic metrics. We give examples, compare results with the classic LQAS and provide an application using a malaria outcome indicator survey in Mozambique.
(© 2019 International Biometric Society.)
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.