PMID- 20011037
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240322
IS  - 0964-1998 (Print)
IS  - 1467-985X (Electronic)
IS  - 0964-1998 (Linking)
VI  - 172
IP  - 2
DP  - 2009 Apr
TI  - Cluster designs to assess the prevalence of acute malnutrition by lot quality 
      assurance sampling: a validation study by computer simulation.
PG  - 495-510
AB  - 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.
FAU - Olives, Casey
AU  - Olives C
FAU - Pagano, Marcello
AU  - Pagano M
FAU - Deitchler, Megan
AU  - Deitchler M
FAU - Hedt, Bethany L
AU  - Hedt BL
FAU - Egge, Kari
AU  - Egge K
FAU - Valadez, Joseph J
AU  - Valadez JJ
LA  - eng
GR  - R01 EB006195/EB/NIBIB NIH HHS/United States
GR  - T32 AI007358/AI/NIAID NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, U.S. Gov't, Non-P.H.S.
PL  - England
TA  - J R Stat Soc Ser A Stat Soc
JT  - Journal of the Royal Statistical Society. Series A, (Statistics in Society)
JID - 9001406
PMC - PMC2784900
EDAT- 2009/12/17 06:00
MHDA- 2009/12/17 06:01
CRDT- 2009/12/17 06:00
PHST- 2009/12/17 06:00 [entrez]
PHST- 2009/12/17 06:00 [pubmed]
PHST- 2009/12/17 06:01 [medline]
AID - 10.1111/j.1467-985X.2008.00572.x [doi]
PST - ppublish
SO  - J R Stat Soc Ser A Stat Soc. 2009 Apr;172(2):495-510. doi: 
      10.1111/j.1467-985X.2008.00572.x.