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Volumn 56, Issue 2, 2000, Pages 345-351

Comparisons of predictive values of binary medical diagnostic tests for paired designs

Author keywords

Cohort study; Coronary artery disease; Correlated data; Generalized estimating equations; Logistic regression; Score test; Sensitivity; Specificity; Wald test

Indexed keywords

DIAGNOSIS; DISEASES; REGRESSION ANALYSIS; STATISTICAL TESTS;

EID: 0033946290     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00345.x     Document Type: Article
Times cited : (289)

References (10)
  • 1
    • 0015395079 scopus 로고
    • On comparison of sensitivity, specificity and predictive value of a number of diagnostic procedures
    • Bennett, B. M. (1972). On comparison of sensitivity, specificity and predictive value of a number of diagnostic procedures. Biometrics 28, 793-800.
    • (1972) Biometrics , vol.28 , pp. 793-800
    • Bennett, B.M.1
  • 2
    • 0022387341 scopus 로고
    • On tests for equality of predictive values for t diagnostic procedures
    • Bennett, B. M. (1985). On tests for equality of predictive values for t diagnostic procedures. Statistics in Medicine 4, 535-539.
    • (1985) Statistics in Medicine , vol.4 , pp. 535-539
    • Bennett, B.M.1
  • 3
    • 0027926033 scopus 로고
    • Letter to the editor: On tests for equality of predictive values for t diagnostic procedures
    • Jamart, J. (1993). Letter to the editor: On tests for equality of predictive values for t diagnostic procedures. Statistics in Medicine 12, 185-186.
    • (1993) Statistics in Medicine , vol.12 , pp. 185-186
    • Jamart, J.1
  • 4
    • 0030917636 scopus 로고    scopus 로고
    • Marginal regression modelling framework for evaluating medical diagnostic tests
    • Leisenring, W., Pepe, M. S., and Longton, G. (1997). Marginal regression modelling framework for evaluating medical diagnostic tests. Statistics in Medicine 16, 1263-1281.
    • (1997) Statistics in Medicine , vol.16 , pp. 1263-1281
    • Leisenring, W.1    Pepe, M.S.2    Longton, G.3
  • 5
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • Liang, K. Y. and Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22.
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Liang, K.Y.1    Zeger, S.L.2
  • 6
    • 0000596361 scopus 로고
    • Note on the sampling error of the difference between correlated proportions or percentages
    • McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 12, 153-157.
    • (1947) Psychometrika , vol.12 , pp. 153-157
    • McNemar, Q.1
  • 7
    • 84963132941 scopus 로고
    • A cautionary note for inference for marginal regression models with longitudinal data and general correlated response data
    • Pepe, M. S. and Anderson, G. L. (1994). A cautionary note for inference for marginal regression models with longitudinal data and general correlated response data. Communications in Statistics 23, 939-951.
    • (1994) Communications in Statistics , vol.23 , pp. 939-951
    • Pepe, M.S.1    Anderson, G.L.2
  • 8
    • 0033616433 scopus 로고    scopus 로고
    • Estimating and comparing univariate associations with application to the prediction of adult obesity
    • Pepe, M. S., Whitaker, R. C., and Seidel, K. (1999). Estimating and comparing univariate associations with application to the prediction of adult obesity. Statistics in Medicine 18, 163-173.
    • (1999) Statistics in Medicine , vol.18 , pp. 163-173
    • Pepe, M.S.1    Whitaker, R.C.2    Seidel, K.3
  • 9
    • 0000426001 scopus 로고
    • Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
    • Rotnitzky, A. and Jewell, N. P. (1990). Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data. Biometrika 77, 485-497.
    • (1990) Biometrika , vol.77 , pp. 485-497
    • Rotnitzky, A.1    Jewell, N.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.