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Volumn 56, Issue 3, 2000, Pages 706-711

Inference about misclassification probabilities from repeated binary responses

Author keywords

False negative error; False positive error; Latent class model; Parameter identifiability; Random effects model; Sensitivity; Serological data; Specificity

Indexed keywords

ERRORS; RANDOM PROCESSES;

EID: 0033844135     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00706.x     Document Type: Article
Times cited : (18)

References (24)
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    • (1994) Vox Sanguinis , vol.67 , Issue.SUPPL. 3 , pp. 81-83
    • Bruce, M.1
  • 12
    • 85153301186 scopus 로고
    • Latent Class Analysis. Newbury Park, New Jersey: Sage
    • (1987)
    • McCutcheon, A.L.1
  • 21
    • 85153181428 scopus 로고
    • Mathematica: A System for Doing Mathematics by Computer. New York: Addison-Wesley
    • (1988)
    • Wolfram, S.1
  • 24
    • 0008264564 scopus 로고
    • Testing hypotheses with binary data subject to misclassification errors: Analysis and experimental design
    • (1991) Biometrika , vol.78 , pp. 857-865
    • Zelen, M.1    Haitovsky, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.