PMID- 24160725
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20140116
LR  - 20211021
IS  - 1742-7622 (Print)
IS  - 1742-7622 (Electronic)
IS  - 1742-7622 (Linking)
VI  - 10
IP  - 1
DP  - 2013 Oct 26
TI  - The effect of clustering on lot quality assurance sampling: a probabilistic model 
      to calculate sample sizes for quality assessments.
PG  - 11
LID - 10.1186/1742-7622-10-11 [doi]
AB  - 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.
FAU - Hedt-Gauthier, Bethany L
AU  - Hedt-Gauthier BL
AD  - Department of Global Health and Social Medicine, Harvard Medical School, Boston, 
      USA. bethhedt@gmail.com.
FAU - Mitsunaga, Tisha
AU  - Mitsunaga T
FAU - Hund, Lauren
AU  - Hund L
FAU - Olives, Casey
AU  - Olives C
FAU - Pagano, Marcello
AU  - Pagano M
LA  - eng
GR  - T32 ES007142/ES/NIEHS NIH HHS/United States
PT  - Journal Article
DEP - 20131026
PL  - England
TA  - Emerg Themes Epidemiol
JT  - Emerging themes in epidemiology
JID - 101232986
PMC - PMC3819670
EDAT- 2013/10/29 06:00
MHDA- 2013/10/29 06:01
PMCR- 2013/10/26
CRDT- 2013/10/29 06:00
PHST- 2012/12/30 00:00 [received]
PHST- 2013/09/17 00:00 [accepted]
PHST- 2013/10/29 06:00 [entrez]
PHST- 2013/10/29 06:00 [pubmed]
PHST- 2013/10/29 06:01 [medline]
PHST- 2013/10/26 00:00 [pmc-release]
AID - 1742-7622-10-11 [pii]
AID - 10.1186/1742-7622-10-11 [doi]
PST - epublish
SO  - Emerg Themes Epidemiol. 2013 Oct 26;10(1):11. doi: 10.1186/1742-7622-10-11.