메뉴 건너뛰기




Volumn 63, Issue 3, 2011, Pages 511-533

Semiparametric marginal and association regression methods for clustered binary data

Author keywords

Association; Binary outcomes; Clustered data; Estimating equation; Missing at random; Semiparametric estimation

Indexed keywords

BINARY OUTCOMES; CLUSTERED DATA; ESTIMATING EQUATION; MISSING AT RANDOMS; SEMI PARAMETRIC ESTIMATION;

EID: 79960086430     PISSN: 00203157     EISSN: 15729052     Source Type: Journal    
DOI: 10.1007/s10463-009-0239-z     Document Type: Article
Times cited : (6)

References (35)
  • 2
    • 0000429149 scopus 로고
    • Modelling multivariate binary data with alternating logistic regressions
    • Carey, V., Zeger, S. L., Diggle, P. J. (1993). Modelling multivariate binary data with alternating logistic regressions. Biometrika 80, 517-526.
    • (1993) Biometrika , vol.80 , pp. 517-526
    • Carey, V.1    Zeger, S.L.2    Diggle, P.J.3
  • 5
    • 15844389302 scopus 로고    scopus 로고
    • Local polynomial regression analysis of clustered data
    • DOI 10.1093/biomet/92.1.59
    • Chen, K., Jin, Z. (2005). Local polynomial regression analysis of clustered data. Biometrika 92, 59-74. (Pubitemid 40427392)
    • (2005) Biometrika , vol.92 , Issue.1 , pp. 59-74
    • Chen, K.1    Jin, Z.2
  • 7
    • 4944267519 scopus 로고    scopus 로고
    • New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis
    • DOI 10.1198/016214504000001060
    • Fan, J., Li, R. (2004). New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis. Journal of the American Statistical Association 99, 710-723. (Pubitemid 39332854)
    • (2004) Journal of the American Statistical Association , vol.99 , Issue.467 , pp. 710-723
    • Fan, J.1    Li, R.2
  • 8
    • 84950447968 scopus 로고
    • Local polynomial kernel regression for generalized linear models and quasi-likelihood functions
    • Fan, J., Heckman, N. E., Wand, M. P. (1995). Local polynomial kernel regression for generalized linear models and quasi-likelihood functions. Journal of the American Statistical Association 90, 141-150.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 141-150
    • Fan, J.1    Heckman, N.E.2    Wand, M.P.3
  • 9
    • 0001708275 scopus 로고
    • A likelihood-based method for analysing longitudinal binary responses
    • Fitzmaurice, G. M., Laird, N. M. (1993). A likelihood-based method for analysing longitudinal binary responses. Biometrika 80, 141-151.
    • (1993) Biometrika , vol.80 , pp. 141-151
    • Fitzmaurice, G.M.1    Laird, N.M.2
  • 10
    • 0032281577 scopus 로고    scopus 로고
    • Extended generalized estimating equations for clustered data
    • Hall, D. B., Severini, T. A. (1998). Extended generalized estimating equations for clustered data. Journal of the American Statistical Association 93, 1365-1375. (Pubitemid 128385548)
    • (1998) Journal of the American Statistical Association , vol.93 , Issue.444 , pp. 1365-1375
    • Hall, D.B.1    Severini, T.A.2
  • 11
    • 33748791723 scopus 로고    scopus 로고
    • Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form
    • Huang, J. Z., Liu, L. (2006). Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form. Biometrics 62, 793-802.
    • (2006) Biometrics , vol.62 , pp. 793-802
    • Huang, J.Z.1    Liu, L.2
  • 12
    • 0003187405 scopus 로고
    • Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
    • Ichimura, H. (1993). Semiparametric least squares (SLS) and weighted SLS estimation of single-index models. Journal of Econometrics 58, 71-120.
    • (1993) Journal of Econometrics , vol.58 , pp. 71-120
    • Ichimura, H.1
  • 13
    • 40249088344 scopus 로고    scopus 로고
    • Flexible generalized t-link models for binary response data
    • DOI 10.1093/biomet/asm079
    • Kim, S., Chen, M. H., Dey, D. K. (2008). Flexible generalized t-link models for binary response data. Biometrika 95, 93-106. (Pubitemid 351333327)
    • (2008) Biometrika , vol.95 , Issue.1 , pp. 93-106
    • Kim, S.1    Chen, M.-H.2    Dey, D.K.3
  • 14
    • 24944511729 scopus 로고    scopus 로고
    • Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham heart study
    • Kraft, P., Bauman, L., Yuan, J. Y., Horvath, S. (2003). Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham heart study. BMC Genetics 4(Suppl 1), S55.
    • (2003) BMC Genetics , vol.4 , Issue.SUPPL. 1
    • Kraft, P.1    Bauman, L.2    Yuan, J.Y.3    Horvath, S.4
  • 15
    • 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
  • 17
    • 0442312205 scopus 로고    scopus 로고
    • Semiparametric regression for clustered data using generalized estimating equations
    • Lin, X. H., Carroll, R. J. (2001a). Semiparametric regression for clustered data using generalized estimating equations. Journal of the American Statistical Association 96, 1045-1056.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1045-1056
    • Lin, X.H.1    Carroll, R.J.2
  • 18
    • 0346020392 scopus 로고    scopus 로고
    • Semiparametric regression for clustered data
    • Lin, X. H., Carroll, R. J. (2001b). Semiparametric regression for clustered data. Biometrika 88, 1179-1185. (Pubitemid 33771560)
    • (2001) Biometrika , vol.88 , Issue.4 , pp. 1179-1185
    • Lin, X.1    Carroll, R.J.2
  • 19
    • 3343019611 scopus 로고
    • Generalized estimating equations for correlated binary data: Using the odds ratio as a measure of association
    • Lipsitz, S. R., Laird, N. M., Harrington, D. P. (1991). Generalized estimating equations for correlated binary data: using the odds ratio as a measure of association. Biometrika 78, 153-160.
    • (1991) Biometrika , vol.78 , pp. 153-160
    • Lipsitz, S.R.1    Laird, N.M.2    Harrington, D.P.3
  • 21
    • 84950441064 scopus 로고
    • Marginalmodelling of correlated ordinal data using an n-Way placket distribution
    • Molenberghs, G., Lesaffre, E. (1994).Marginalmodelling of correlated ordinal data using an n-Way placket distribution. Journal of the American Statistical Association 89, 633-644.
    • (1994) Journal of the American Statistical Association , vol.89 , pp. 633-644
    • Molenberghs, G.1    Lesaffre, E.2
  • 22
    • 84963132941 scopus 로고
    • A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data
    • Pepe, M. S., Anderson, G. L. (1994). A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data. Communications in Statistics, Simulation and Computation 23, 939-951.
    • (1994) Communications in Statistics, Simulation and Computation , vol.23 , pp. 939-951
    • Pepe, M.S.1    Anderson, G.L.2
  • 23
    • 0024266392 scopus 로고
    • Correlated binary regression with covariates specific to each binary observation
    • DOI 10.2307/2531733
    • Prentice, R. L. (1988). Correlated binary regression with covariates specific to each binary observation. Biometrics 44, 1033-1048. (Pubitemid 19026036)
    • (1988) Biometrics , vol.44 , Issue.4 , pp. 1033-1048
    • Prentice, R.L.1
  • 26
    • 3543029715 scopus 로고    scopus 로고
    • Marginal nonparametric kernel regression accounting for within-subject correlation
    • DOI 10.1093/biomet/90.1.43
    • Wang, N. (2003). Marginal nonparametric kernel regression accounting for within-subject correlation. Biometrika 90, 43-52. (Pubitemid 39047180)
    • (2003) Biometrika , vol.90 , Issue.1 , pp. 43-52
    • Wang, N.1
  • 27
    • 14944358963 scopus 로고    scopus 로고
    • Efficient semiparametric marginal estimation for longitudinal/clustered data
    • DOI 10.1198/016214504000000629
    • Wang, N., Carroll, R. J., Lin, X. (2005). Efficient semiparametric marginal estimation for longitudinal/clustered data. Journal of the American Statistical Association 100, 147-157. (Pubitemid 40366825)
    • (2005) Journal of the American Statistical Association , vol.100 , Issue.469 , pp. 147-157
    • Wang, N.1    Carroll, R.J.2    Lin, X.3
  • 28
    • 49549110291 scopus 로고    scopus 로고
    • A constructive approach to the estimation of dimension reduction directions
    • Xia, Y. (2007). A constructive approach to the estimation of dimension reduction directions. The Annals of Statistics 35, 2654-2690.
    • (2007) The Annals of Statistics , vol.35 , pp. 2654-2690
    • Xia, Y.1
  • 29
    • 33645850720 scopus 로고    scopus 로고
    • Semi-parametric estimation of partially linear single-index models
    • DOI 10.1016/j.jmva.2005.11.005, PII S0047259X05001995
    • Xia, Y., Härdle, W. (2006). Semi-parametric estimation of partially linear single-index models. Journal of Multivariate Analysis 97, 1162-1184. (Pubitemid 43574707)
    • (2006) Journal of Multivariate Analysis , vol.97 , Issue.5 , pp. 1162-1184
    • Xia, Y.1    Hardle, W.2
  • 30
    • 0011336701 scopus 로고    scopus 로고
    • On extended partially linear single-index models
    • Xia, Y., Tong, H., Li, W. K. (1999). On extended partially linear single-index models. Biometrika 86, 831-842.
    • (1999) Biometrika , vol.86 , pp. 831-842
    • Xia, Y.1    Tong, H.2    Li, W.K.3
  • 31
    • 0036967823 scopus 로고    scopus 로고
    • Marginal methods for incomplete longitudinal data arising in clusters
    • DOI 10.1198/016214502388618889
    • Yi, G. Y., Cook, R. J. (2002).Marginal methods for incomplete longitudinal data arising in clusters. Journal of the American Statistical Association 97, 1071-1080. (Pubitemid 36136566)
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.460 , pp. 1071-1080
    • Yi, G.Y.1    Cook, R.J.2
  • 32
    • 56349145606 scopus 로고    scopus 로고
    • Analysis of correlated binary data under partially linear single-index logistic models
    • Yi, G. Y., He, W., Liang, H. (2009). Analysis of correlated binary data under partially linear single-index logistic models. Journal of Multivariate Analysis 100, 278-290.
    • (2009) Journal of Multivariate Analysis , vol.100 , pp. 278-290
    • Yi, G.Y.1    He, W.2    Liang, H.3
  • 33
    • 18444375022 scopus 로고    scopus 로고
    • Marginal and association regression models for longitudinal binary data with drop-outs: A likelihood-based approach
    • Yi, G. Y., Thompson, M. E. (2005). Marginal and association regression models for longitudinal binary data with drop-outs: a likelihood-based approach. The Canadian Journal of Statistics 33, 3-20. (Pubitemid 40652997)
    • (2005) Canadian Journal of Statistics , vol.33 , Issue.1 , pp. 3-20
    • Yi, G.Y.1    Thompson, M.E.2
  • 34
    • 0028153316 scopus 로고
    • Semiparametric models for longitudinal data with application to CD4 cell numbers in HIV seroconverters
    • DOI 10.2307/2532783
    • Zeger, S. L., Diggle, P. J. (1994). Semi-parametric models for longitudinal data with applications to CD4 cell numbers in HIV seroconverters. Biometrics 50, 689-699. (Pubitemid 24320817)
    • (1994) Biometrics , vol.50 , Issue.3 , pp. 689-699
    • Zeger, S.L.1    Diggle, P.J.2
  • 35
    • 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, 121-130
    • (1986) Biometrics , vol.42 , pp. 121-130
    • Zeger, S.L.1    Liang, K.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.