PMID- 20139433
OWN - NLM
STAT- MEDLINE
DCOM- 20100513
LR  - 20100616
IS  - 1464-3685 (Electronic)
IS  - 0300-5771 (Linking)
VI  - 39
IP  - 1
DP  - 2010 Feb
TI  - LQAS: User Beware.
PG  - 60-8
LID - 10.1093/ije/dyn366 [doi]
AB  - BACKGROUND: Researchers around the world are using Lot Quality Assurance Sampling 
      (LQAS) techniques to assess public health parameters and evaluate program 
      outcomes. In this paper, we report that there are actually two methods being 
      called LQAS in the world today, and that one of them is badly flawed. METHODS: 
      This paper reviews fundamental LQAS design principles, and compares and contrasts 
      the two LQAS methods. We raise four concerns with the simply-written, 
      freely-downloadable training materials associated with the second method. 
      RESULTS: The first method is founded on sound statistical principles and is 
      carefully designed to protect the vulnerable populations that it studies. The 
      language used in the training materials for the second method is simple, but not 
      at all clear, so the second method sounds very much like the first. On close 
      inspection, however, the second method is found to promote study designs that are 
      biased in favor of finding programmatic or intervention success, and therefore 
      biased against the interests of the population being studied. CONCLUSION: We 
      outline several recommendations, and issue a call for a new high standard of 
      clarity and face validity for those who design, conduct, and report LQAS studies.
FAU - Rhoda, Dale A
AU  - Rhoda DA
AD  - College of Public Health, The Ohio State University, Columbus, OH, USA. 
      rhoda.4@osu.edu
FAU - Fernandez, Soledad A
AU  - Fernandez SA
FAU - Fitch, David J
AU  - Fitch DJ
FAU - Lemeshow, Stanley
AU  - Lemeshow S
LA  - eng
PT  - Journal Article
PL  - England
TA  - Int J Epidemiol
JT  - International journal of epidemiology
JID - 7802871
SB  - IM
CIN - Int J Epidemiol. 2010 Feb;39(1):69-71. PMID: 20139434
MH  - *Health Surveys
MH  - Humans
MH  - *Lot Quality Assurance Sampling
MH  - Models, Statistical
MH  - Prevalence
MH  - ROC Curve
MH  - Selection Bias
MH  - Vaccination/statistics & numerical data
MH  - Vulnerable Populations/statistics & numerical data
EDAT- 2010/02/09 06:00
MHDA- 2010/05/14 06:00
CRDT- 2010/02/09 06:00
PHST- 2010/02/09 06:00 [entrez]
PHST- 2010/02/09 06:00 [pubmed]
PHST- 2010/05/14 06:00 [medline]
AID - dyn366 [pii]
AID - 10.1093/ije/dyn366 [doi]
PST - ppublish
SO  - Int J Epidemiol. 2010 Feb;39(1):60-8. doi: 10.1093/ije/dyn366.