PMID- 30488433
OWN - NLM
STAT- MEDLINE
DCOM- 20200129
LR  - 20200129
IS  - 1541-0420 (Electronic)
IS  - 0006-341X (Linking)
VI  - 75
IP  - 2
DP  - 2019 Jun
TI  - Optimal design of multiple-objective Lot Quality Assurance Sampling (LQAS) plans.
PG  - 572-581
LID - 10.1111/biom.13008 [doi]
AB  - Lot Quality Assurance Sampling (LQAS) plans are widely used for health monitoring 
      purposes. We propose a systematic approach to design multiple-objective LQAS 
      plans that meet user-specified type 1 and 2 error rates and targets for selected 
      diagnostic accuracy metrics. These metrics may include sensitivity, specificity, 
      positive predictive value, and negative predictive value in high or low 
      anticipated prevalence rate populations. We use Mixed Integer Nonlinear 
      Programming (MINLP) tools to implement our design methodology. Our approach is 
      flexible in that it can directly generate classic LQAS plans that control error 
      rates only and find optimal LQAS plans that meet multiple objectives in terms of 
      diagnostic metrics. We give examples, compare results with the classic LQAS and 
      provide an application using a malaria outcome indicator survey in Mozambique.
CI  - (c) 2019 International Biometric Society.
FAU - Duarte, Belmiro P M
AU  - Duarte BPM
AUID- ORCID: 0000-0003-2550-4320
AD  - Centro de Investigacao em Processos Quimicos e Produtos da Floresta, Department 
      of Chemical Engineering, University of Coimbra, Polo II, R. Silvio Lima, 3030-790 
      Coimbra, Portugal.
AD  - Department of Chemical and Biological Engineering, ISEC, Polytechnic Institute of 
      Coimbra, R. Pedro Nunes, 3030-199 Coimbra, Portugal.
FAU - Wong, Weng Kee
AU  - Wong WK
AUID- ORCID: 0000-0001-5568-3054
AD  - Department of Biostatistics, Fielding School of Public Health, UCLA, 10833 Le 
      Conte Ave., Los Angeles, California 90095-1772.
LA  - eng
GR  - R01 GM107639/GM/NIGMS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20190401
PL  - England
TA  - Biometrics
JT  - Biometrics
JID - 0370625
SB  - IM
MH  - Computer Simulation
MH  - Diagnostic Errors
MH  - *Epidemiological Monitoring
MH  - Humans
MH  - Lot Quality Assurance Sampling/*methods
MH  - Malaria/diagnosis/epidemiology/therapy
MH  - Mozambique
MH  - Sampling Studies
MH  - Surveys and Questionnaires
OTO - NOTNLM
OT  - Lot Quality Assurance Sampling
OT  - Mixed Integer Nonlinear Programming
OT  - diagnostic measures
OT  - disease monitoring programs
OT  - optimal design
OT  - public health policy
EDAT- 2018/11/30 06:00
MHDA- 2020/01/30 06:00
CRDT- 2018/11/30 06:00
PHST- 2017/08/22 00:00 [received]
PHST- 2018/11/14 00:00 [accepted]
PHST- 2018/11/30 06:00 [pubmed]
PHST- 2020/01/30 06:00 [medline]
PHST- 2018/11/30 06:00 [entrez]
AID - 10.1111/biom.13008 [doi]
PST - ppublish
SO  - Biometrics. 2019 Jun;75(2):572-581. doi: 10.1111/biom.13008. Epub 2019 Apr 1.