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Volumn 7, Issue , 2010, Pages

Bayes-LQAS: Classifying the prevalence of global acute malnutrition

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; BAYES THEOREM; CLASSIFICATION; DATA ANALYSIS; ERROR; HUMAN; LOT QUALITY ASSURANCE SAMPLING; MALNUTRITION; PREVALENCE; REVIEW;

EID: 77953227239     PISSN: None     EISSN: 17427622     Source Type: Journal    
DOI: 10.1186/1742-7622-7-3     Document Type: Review
Times cited : (14)

References (21)
  • 2
    • 44849121360 scopus 로고    scopus 로고
    • Precision, time, and cost: A comparison of three sampling designs in an emergency setting
    • 10.1186/1742-7622-5-6. 18454866
    • Precision, time, and cost: a comparison of three sampling designs in an emergency setting. M Deitchler H Deconinck G Bergeron, Emerg Themes Epidemiol 2008 5 6 10.1186/1742-7622-5-6 18454866
    • (2008) Emerg Themes Epidemiol , vol.5 , pp. 6
    • Deitchler, M.1    Deconinck, H.2    Bergeron, G.3
  • 3
    • 34548574935 scopus 로고    scopus 로고
    • A field test of three LQAS designs to assess the prevalence of acute malnutrition
    • 10.1093/ije/dym092. 17517808
    • A field test of three LQAS designs to assess the prevalence of acute malnutrition. M Deitchler J Valadez K Egge S Fernandez M Hennigan, International Journal of Epidemiology 2007 36 4 858 10.1093/ije/dym092 17517808
    • (2007) International Journal of Epidemiology , vol.36 , Issue.4 , pp. 858
    • Deitchler, M.1    Valadez, J.2    Egge, K.3    Fernandez, S.4    Hennigan, M.5
  • 4
    • 47649083514 scopus 로고    scopus 로고
    • "Old" and "new" cluster designs in emergency field surveys: In search of a one-fits-all solution
    • 10.1186/1742-7622-5-7. 18611276
    • "Old" and "new" cluster designs in emergency field surveys: in search of a one-fits-all solution. O Bilukha, Emerging Themes in Epidemiology 2008 5 7 10.1186/1742-7622-5-7 18611276
    • (2008) Emerging Themes in Epidemiology , vol.5 , pp. 7
    • Bilukha, O.1
  • 5
    • 60149101540 scopus 로고    scopus 로고
    • Interpreting results of cluster surveys in emergency settings: Is the LQAS test the best option?
    • 10.1186/1742-7622-5-25. 19068120
    • Interpreting results of cluster surveys in emergency settings: is the LQAS test the best option? O Bilukha C Blanton, Emerging Themes in Epidemiology 2008 5 25 10.1186/1742-7622-5-25 19068120
    • (2008) Emerging Themes in Epidemiology , vol.5 , pp. 25
    • Bilukha, O.1    Blanton, C.2
  • 6
    • 33746507534 scopus 로고    scopus 로고
    • Global review of health care surveys using lot quality assurance sampling (LQAS), 1984-2004
    • Global review of health care surveys using lot quality assurance sampling (LQAS), 1984-2004. SE Robertson JJ Valadez, Social Science & Medicine 2006 63 6 1648 1660
    • (2006) Social Science & Medicine , vol.63 , Issue.6 , pp. 1648-1660
    • Robertson, S.E.1    Valadez, J.J.2
  • 7
    • 0022659091 scopus 로고
    • A Comparison of Classical and Bayes producer's risk
    • 10.2307/1269605
    • A Comparison of Classical and Bayes producer's risk. G Brush, Technometrics 1986 28 37 46 10.2307/1269605
    • (1986) Technometrics , vol.28 , pp. 37-46
    • Brush, G.1
  • 8
    • 0026854524 scopus 로고
    • A comparison of classical and Bayes risks when the quality varies randomly
    • 10.1016/0026-2714(92)90479-5
    • A comparison of classical and Bayes risks when the quality varies randomly. K Sharma R Bhutani, Microelectronics and Reliability 1992 32 493 495 10.1016/0026-2714(92)90479-5
    • (1992) Microelectronics and Reliability , vol.32 , pp. 493-495
    • Sharma, K.1    Bhutani, R.2
  • 9
    • 77954623110 scopus 로고
    • Bayesian acceptance sampling scheme for pass-fail components
    • 10.1080/03610929108830637
    • Bayesian acceptance sampling scheme for pass-fail components. D Fan, Communications in Statistics-Theory and Methods 1991 20 2351 2355 10.1080/03610929108830637
    • (1991) Communications in Statistics-Theory and Methods , vol.20 , pp. 2351-2355
    • Fan, D.1
  • 10
    • 0026880791 scopus 로고
    • Bayes attribute acceptance-sampling plan
    • 10.1109/24.257799
    • Bayes attribute acceptance-sampling plan. Z Sheng D Fan, IEEE Trans Reliab 1992 41 307 309 10.1109/24.257799
    • (1992) IEEE Trans Reliab , vol.41 , pp. 307-309
    • Sheng, Z.1    Fan, D.2
  • 11
    • 0026908337 scopus 로고
    • Bayesian variable acceptance-sampling plans: Quadratic loss function and step-loss function
    • 10.2307/1270040
    • Bayesian variable acceptance-sampling plans: quadratic loss function and step-loss function. H Moskowitz K Tang, Technometrics 1992 34 340 347 10.2307/1270040
    • (1992) Technometrics , vol.34 , pp. 340-347
    • Moskowitz, H.1    Tang, K.2
  • 14
    • 0030092485 scopus 로고    scopus 로고
    • Monitoring Drug use using bayesian acceptance sampling: The illinois experiment
    • 10.1287/opre.44.2.274
    • Monitoring Drug use using bayesian acceptance sampling: the illinois experiment. P Lattimore J Baker L Matheson, Operations Research 1996 44 274 285 10.1287/opre.44.2.274
    • (1996) Operations Research , vol.44 , pp. 274-285
    • Lattimore, P.1    Baker, J.2    Matheson, L.3
  • 15
    • 77954623387 scopus 로고
    • Multistage Multiattribute Acceptance sampling in serial production systems
    • Multistage Multiattribute Acceptance sampling in serial production systems. H Moskowitz R Plante K Tang, IEEE Trans 1986 16 130 137
    • (1986) IEEE Trans , vol.16 , pp. 130-137
    • Moskowitz, H.1    Plante, R.2    Tang, K.3
  • 19
    • 77954620175 scopus 로고    scopus 로고
    • Centre for Research on the Epidemiology of Disasters (CRED), Universite catholique de Louvain: CE-DAT Brussels, Belgium
    • The Complex Emercency Database. Centre for Research on the Epidemiology of Disasters (CRED), Universite catholique de Louvain: CE-DAT, Brussels, Belgium 2009 http://www.cedat.org
    • (2009) The Complex Emercency Database
  • 20
    • 27144540579 scopus 로고    scopus 로고
    • Bayesian designs with frequentist and Bayesian error rate considerations
    • 10.1191/0962280205sm410oa. 16248347
    • Bayesian designs with frequentist and Bayesian error rate considerations. YG Wang DHY Leung M Li SB Tan, Stat Methods Med Res 2005 14 5 445 456 10.1191/0962280205sm410oa 16248347
    • (2005) Stat Methods Med Res , vol.14 , Issue.5 , pp. 445-456
    • Wang, Y.G.1    Leung, D.H.Y.2    Li, M.3    Tan, S.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.