메뉴 건너뛰기




Volumn 54, Issue 2, 2012, Pages 249-263

Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis

Author keywords

Area under the curve; Binormal model; Monotone transformation; Receiver operating characteristic analysis; Two sample tests

Indexed keywords

INTELLIGENT SYSTEMS; INVERSE PROBLEMS;

EID: 84860110063     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201000251     Document Type: Article
Times cited : (3)

References (20)
  • 1
    • 49549139345 scopus 로고
    • The area above the ordinal dominance graph and the area below the receiver operating graph
    • Bamber, D. (1975). The area above the ordinal dominance graph and the area below the receiver operating graph. Journal of Mathematical Psychology 12, 387-415.
    • (1975) Journal of Mathematical Psychology , vol.12 , pp. 387-415
    • Bamber, D.1
  • 2
    • 56949083096 scopus 로고    scopus 로고
    • Bounding sample size projections for the area under a ROC curve
    • Blume, J. D. (2009). Bounding sample size projections for the area under a ROC curve. Journal of Statistical Planning and Inference 139, 711-721.
    • (2009) Journal of Statistical Planning and Inference , vol.139 , pp. 711-721
    • Blume, J.D.1
  • 5
    • 84972541814 scopus 로고
    • The statistical precision of medical screening procedures: application to polygraph and AIDS antibodies test data
    • Gastwirth, J. L. (1987). The statistical precision of medical screening procedures: application to polygraph and AIDS antibodies test data. Statistical Science 2, 213-238.
    • (1987) Statistical Science , vol.2 , pp. 213-238
    • Gastwirth, J.L.1
  • 7
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley, J. A. and McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 8
  • 10
    • 0026760628 scopus 로고
    • Combining and comparing area estimates across studies or strata
    • McClish, D. K. (1992). Combining and comparing area estimates across studies or strata. Medical Decision Making 12, 274-279.
    • (1992) Medical Decision Making , vol.12 , pp. 274-279
    • McClish, D.K.1
  • 11
    • 0032525017 scopus 로고    scopus 로고
    • Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data
    • Metz, C. E., Herman, B. A. and Shen, J. H. (1998). Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. Statistics in Medicine 17, 1033-1053.
    • (1998) Statistics in Medicine , vol.17 , pp. 1033-1053
    • Metz, C.E.1    Herman, B.A.2    Shen, J.H.3
  • 12
    • 31744443393 scopus 로고    scopus 로고
    • Bayesian multivariate hierarchical transformation models for ROC analysis
    • O'Malley, A. J. and Zou, K. H. (2006). Bayesian multivariate hierarchical transformation models for ROC analysis. Statistics in Medicine 25, 459-479.
    • (2006) Statistics in Medicine , vol.25 , pp. 459-479
    • O'Malley, A.J.1    Zou, K.H.2
  • 15
    • 85153314008 scopus 로고    scopus 로고
    • Using SAS to perform a stratified t-test. Pharmaceutical Users Software Exchange (phUSE) Conference, Lisbon, Portugal.
    • Salter, J. (2007). Using SAS to perform a stratified t-test. Pharmaceutical Users Software Exchange (phUSE) Conference, Lisbon, Portugal
    • (2007)
    • Salter, J.1
  • 20
    • 24144473925 scopus 로고    scopus 로고
    • A Bayesian hierarchical non-linear regression model in receiver operating characteristic analysis of clustered continuous diagnostic data
    • Zou, K. H. and O'Malley, A. J. (2005). A Bayesian hierarchical non-linear regression model in receiver operating characteristic analysis of clustered continuous diagnostic data. Biomedical Journal 47, 417-427.
    • (2005) Biomedical Journal , vol.47 , pp. 417-427
    • Zou, K.H.1    O'Malley, A.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.