메뉴 건너뛰기




Volumn 54, Issue 1, 2012, Pages 143-156

Semi-parametric area under the curve regression method for diagnostic studies with ordinal data

Author keywords

Area under the curve; Diagnostic markers; Regression for ordinal data

Indexed keywords

DIAGNOSIS; DISEASES; LEARNING ALGORITHMS; REGRESSION ANALYSIS; RISK PERCEPTION;

EID: 84862950764     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201100025     Document Type: Article
Times cited : (1)

References (26)
  • 1
    • 49549139345 scopus 로고
    • The area above the ordinal dominance graph and the area below the receive operating characteristic graph
    • Bamber, D. (1975). The area above the ordinal dominance graph and the area below the receive operating characteristic graph. Journal of Mathematical Psychology 12, 387-415.
    • (1975) Journal of Mathematical Psychology , vol.12 , pp. 387-415
    • Bamber, D.1
  • 2
    • 0023710206 scopus 로고
    • Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
    • DeLong, E. R., DeLong, D. M. and Clarke-Pearson, D. L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44, 837-845.
    • (1988) Biometrics , vol.44 , pp. 837-845
    • DeLong, E.R.1    DeLong, D.M.2    Clarke-Pearson, D.L.3
  • 3
    • 0041488899 scopus 로고    scopus 로고
    • Semi parametric regression for the area under the receiver operating characteristics curve
    • Dodd, L. E. and Pepe, M. S. (2003). Semi parametric regression for the area under the receiver operating characteristics curve. Journal of the American Statistical Association 98, 409-417.
    • (2003) Journal of the American Statistical Association , vol.98 , pp. 409-417
    • Dodd, L.E.1    Pepe, M.S.2
  • 4
    • 38649132833 scopus 로고
    • Maximum likelihood estimation of parameters of signal detection theory and determination of confidence intervals - rating method data
    • Dorfman, D. D. and Alf, E. (1969). Maximum likelihood estimation of parameters of signal detection theory and determination of confidence intervals - rating method data. Journal of Mathematical Psychology 6, 487-496.
    • (1969) Journal of Mathematical Psychology , vol.6 , pp. 487-496
    • Dorfman, D.D.1    Alf, E.2
  • 6
    • 0142074243 scopus 로고    scopus 로고
    • Adjusting receiver operating characteristic curves and related indices for covariates
    • Faraggi, D. (2003). Adjusting receiver operating characteristic curves and related indices for covariates. Statistician 52, 179-192.
    • (2003) Statistician , vol.52 , pp. 179-192
    • Faraggi, D.1
  • 8
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley, J. A. (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
  • 9
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanley, J. A. (1983). A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148, 839-846.
    • (1983) Radiology , vol.148 , pp. 839-846
    • Hanley, J.A.1
  • 10
    • 0030548462 scopus 로고    scopus 로고
    • Nonparametric and semiparametric estimation of the receiver operating characteristic curve
    • Hsieh, F. and Turnbull, B. W. (1996). Nonparametric and semiparametric estimation of the receiver operating characteristic curve. Annals of Statistics 24, 25-40.
    • (1996) Annals of Statistics , vol.24 , pp. 25-40
    • Hsieh, F.1    Turnbull, B.W.2
  • 11
    • 25644460384 scopus 로고    scopus 로고
    • Nonparametric estimation and hypothesis testing on the partial area under receiver operating characteristics curve
    • Liu, A., Schisterman, E. F. and Wu, C. (2005). Nonparametric estimation and hypothesis testing on the partial area under receiver operating characteristics curve. Communications in Statistics -Theory and Methods 34, 2077-2088.
    • (2005) Communications in Statistics -Theory and Methods , vol.34 , pp. 2077-2088
    • Liu, A.1    Schisterman, E.F.2    Wu, C.3
  • 12
    • 0032525017 scopus 로고    scopus 로고
    • Maximum likelihood estimation of receiver operating characteristic curves from continuously distributed data
    • Metz, C. E., Herman, B. A. and Shen, J. (1998). Maximum likelihood estimation of receiver operating characteristic 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.3
  • 13
    • 0001572796 scopus 로고    scopus 로고
    • A regression modeling framework for receiver operating characteristic curves in medical diagnostic testing
    • Pepe, M. S. (1997). A regression modeling framework for receiver operating characteristic curves in medical diagnostic testing. Biometrika 84, 595-608.
    • (1997) Biometrika , vol.84 , pp. 595-608
    • Pepe, M.S.1
  • 16
    • 2942644880 scopus 로고    scopus 로고
    • The analysis of placement values for evaluating discriminatory measures
    • Pepe, M. S. and Cai, T. (2004). The analysis of placement values for evaluating discriminatory measures. Biometrics 60, 528-535.
    • (2004) Biometrics , vol.60 , pp. 528-535
    • Pepe, M.S.1    Cai, T.2
  • 17
    • 34250192961 scopus 로고    scopus 로고
    • Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves
    • Pesce, L. L. and Metz, C. E. (2007). Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves. Academic Radiology 14, 814-829.
    • (2007) Academic Radiology , vol.14 , pp. 814-829
    • Pesce, L.L.1    Metz, C.E.2
  • 19
    • 85153209232 scopus 로고    scopus 로고
    • Regression models for diagnostic studies with ordinal data. University of Washington, PhD thesis. Proquest ID: 345678.
    • Rajan, K. B. (2008). Regression models for diagnostic studies with ordinal data. University of Washington, PhD thesis. Proquest ID: 345678.
    • (2008)
    • Rajan, K.B.1
  • 20
    • 85153186360 scopus 로고    scopus 로고
    • R Development Core Team. R: A language and environment for statistical computing. Vienna, Austria.
    • R Development Core Team. (2010). R: A language and environment for statistical computing. Vienna, Austria.
    • (2010)
  • 21
    • 0025294636 scopus 로고
    • Nonparametric estimation of degenerate ROC data sets used for comparison of imaging systems
    • Rockette, H. E., Obuchowski, N. A. and Gur, D. (1990). Nonparametric estimation of degenerate ROC data sets used for comparison of imaging systems. Investigative Radiology 25, 835-837.
    • (1990) Investigative Radiology , vol.25 , pp. 835-837
    • Rockette, H.E.1    Obuchowski, N.A.2    Gur, D.3
  • 23
    • 0141796415 scopus 로고    scopus 로고
    • AUC-based tests for nonparametric functions with longitudinal data
    • Sun, Y. and Wu H. (2003). AUC-based tests for nonparametric functions with longitudinal data. Statistica Sinica 13, 593-612.
    • (2003) Statistica Sinica , vol.13 , pp. 593-612
    • Sun, Y.1    Wu, H.2
  • 24
    • 0029740924 scopus 로고    scopus 로고
    • Ordinal regression methodology for ROC curves derived from correlated data
    • Toledano, A. Y. and Gatsonis, C. (1996). Ordinal regression methodology for ROC curves derived from correlated data. Statistics in Medicine 15, 1807-1826.
    • (1996) Statistics in Medicine , vol.15 , pp. 1807-1826
    • Toledano, A.Y.1    Gatsonis, C.2
  • 25
    • 0023769482 scopus 로고
    • A general regression methodology for ROC curve estimation
    • Tosteson, A. and Begg, C. B. (1988). A general regression methodology for ROC curve estimation. Medical Decision Making 8, 204-215.
    • (1988) Medical Decision Making , vol.8 , pp. 204-215
    • Tosteson, A.1    Begg, C.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.