메뉴 건너뛰기




Volumn 88, Issue 1, 2001, Pages 287-290

Modelling and generating correlated binary variables

Author keywords

Binary variable; Computer simulation; Correlation structure; Generalised estimating equation

Indexed keywords


EID: 3843110927     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/88.1.287     Document Type: Article
Times cited : (51)

References (9)
  • 1
    • 0002881703 scopus 로고
    • A representation of the joint distribution of responses to n dichotomous items
    • Ed. H. Solomon, Stanford, CA: Stanford University Press.
    • BAHADUR, R. R. (1961). A representation of the joint distribution of responses to n dichotomous items. In Studies in Item Analysis and Prediction, Ed. H. Solomon, pp. 158-68. Stanford, CA: Stanford University Press.
    • (1961) Studies in Item Analysis and Prediction , pp. 158-168
    • Bahadur, R.R.1
  • 2
    • 0000429149 scopus 로고
    • Modelling multivariate binary data with alternating logistic regressions
    • CAREY, V., ZEGER, S. L. & DIGGLE, P. (1993). Modelling multivariate binary data with alternating logistic regressions. Biometrika 80, 517-26.
    • (1993) Biometrika , vol.80 , pp. 517-526
    • Carey, V.1    Zeger, S.L.2    Diggle, P.3
  • 3
    • 0000919515 scopus 로고
    • On the use of a working correlation matrix in using generalised linear models for repeated measures
    • CROWDER, M. C. (1995). On the use of a working correlation matrix in using generalised linear models for repeated measures. Biometrika 82, 407-10.
    • (1995) Biometrika , vol.82 , pp. 407-410
    • Crowder, M.C.1
  • 4
    • 0030337321 scopus 로고    scopus 로고
    • Marginal regression models for clustered ordinal measurements
    • HEAGERTY, P. J. & ZEGER, S. L. (1996). Marginal regression models for clustered ordinal measurements. J. Am. Statist. Assoc. 91, 1024-36.
    • (1996) J. Am. Statist. Assoc. , vol.91 , pp. 1024-1036
    • Heagerty, P.J.1    Zeger, S.L.2
  • 5
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • LIANG, K.-Y. & 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
    • 0039396015 scopus 로고    scopus 로고
    • A note on generating correlated binary variables
    • LUNN, A. D. & DAVIES, S. J. (1998). A note on generating correlated binary variables. Biometrika 85, 487-90.
    • (1998) Biometrika , vol.85 , pp. 487-490
    • Lunn, A.D.1    Davies, S.J.2
  • 7
    • 0024266392 scopus 로고
    • Correlated binary regession with covariates specific to each binary observation
    • PRENTICE, R. L. (1988). Correlated binary regession with covariates specific to each binary observation. Biometrics 44, 1033-48.
    • (1988) Biometrics , vol.44 , pp. 1033-1048
    • Prentice, R.L.1
  • 8
    • 0000443423 scopus 로고    scopus 로고
    • On the efficiency of regression estimators in generalised linear models for longitudinal data
    • SUTRADHAR, B. C. & D AS, K. (1999). On the efficiency of regression estimators in generalised linear models for longitudinal data. Biometrika 86, 459-65.
    • (1999) Biometrika , vol.86 , pp. 459-465
    • Sutradhar, B.C.1    As, K.2
  • 9
    • 0022673130 scopus 로고
    • Longitudinal data analysis for discrete and continuous outcomes
    • ZEGER, S. L. & LIANG, K.-Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42, 121-30.
    • (1986) Biometrics , vol.42 , pp. 121-130
    • Zeger, S.L.1    Liang, K.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.