The effect of clustering on lot quality assurance sampling: a probabilistic model to calculate sample sizes for quality assessments
| Autor: | Bethany Hedt-Gauthier, Tisha Mitsunaga, Lauren Hund, Casey Olives, Marcello Pagano |
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| Rok vydání: | 2013 |
| Předmět: |
Epidemiology
030231 tropical medicine computer.software_genre Cluster-LQAS Program evaluation 03 medical and health sciences 0302 clinical medicine Statistics Medicine 030212 general & internal medicine Survey Cluster analysis Community health workers business.industry Lot quality assurance sampling Methodology Sampling (statistics) Statistical model Simple random sample Sample size determination Data quality Cluster sampling Data mining business computer |
| Zdroj: | Emerging Themes in Epidemiology |
| ISSN: | 1742-7622 |
| Popis: | Background Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In this paper, we develop a general framework for designing the cluster(C)-LQAS system and illustrate the method with the design of data quality assessments for the community health worker program in Rwanda. Results To determine sample size and decision rules for C-LQAS, we use the beta-binomial distribution to account for inflated risk of errors introduced by sampling clusters at the first stage. We present general theory and code for sample size calculations. The C-LQAS sample sizes provided in this paper constrain misclassification risks below user-specified limits. Multiple C-LQAS systems meet the specified risk requirements, but numerous considerations, including per-cluster versus per-individual sampling costs, help identify optimal systems for distinct applications. Conclusions We show the utility of C-LQAS for data quality assessments, but the method generalizes to numerous applications. This paper provides the necessary technical detail and supplemental code to support the design of C-LQAS for specific programs. |
| Databáze: | OpenAIRE |
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