Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: a validation study by computer simulation

Olives, C., Pagano, M., Deitchler, M., Hedt, B. L., Egge, K. and Valadez, Joseph ORCID: https://orcid.org/0000-0002-6575-6592 (2009) 'Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: a validation study by computer simulation'. Journal of the Royal Statistical Society Series a-Statistics in Society, Vol 172, Issue 2, pp. 495-510.

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Abstract

Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to examine the classification error of two such designs, a 67x3 (67 clusters of three observations) and a 33x6 (33 clusters of six observations) sampling scheme to assess the prevalence of global acute malnutrition (GAM). Further, we explore the use of a 67x3 sequential sampling scheme for LQAS classification of GAM prevalence. Results indicate that, for independent clusters with moderate intracluster correlation for the GAM outcome, the three sampling designs maintain approximate validity for LQAS analysis. Sequential sampling can substantially reduce the average sample size that is required for data collection. The presence of intercluster correlation can impact dramatically the classification error that is associated with LQAS analysis.

Item Type:	Article
Additional Information:	Part 2
Uncontrolled Keywords:	acute malnutrition emergency lot quality assurance sampling sequential sampling wasting sequential-analysis
Subjects:	WD Disorders of Systemic, Metabolic or Environmental Origin, etc > Nutrition Disorders > WD 100 General works WA Public Health > WA 20.5 Research (General) WA Public Health > Health Problems of Special Population Groups > WA 395 Health in developing countries
Faculty: Department:	Groups (2002 - 2012) > International Health Group
Digital Object Identifer (DOI):	https://doi.org/10.1111/j.1467-985X.2008.00572.x
Depositing User:	Faye Moody
Date Deposited:	11 Jun 2010 11:37
Last Modified:	06 Sep 2019 11:29
URI:	https://archive.lstmed.ac.uk/id/eprint/354

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