메뉴 건너뛰기




Volumn 35, Issue 1, 2007, Pages 105-123

Marginalized transition random effect models for multivariate longitudinal binary data

Author keywords

Bayesian hierarchical model; Hybrid Monte Carlo

Indexed keywords


EID: 34249314352     PISSN: 03195724     EISSN: None     Source Type: Journal    
DOI: 10.1002/cjs.5550350110     Document Type: Article
Times cited : (15)

References (32)
  • 1
    • 0031475939 scopus 로고    scopus 로고
    • A model for repeated measurements of a multivariate binary response
    • A. Agresti (1997). A model for repeated measurements of a multivariate binary response. Journal of the American Statistical Association, 92, 315-321.
    • (1997) Journal of the American Statistical Association , vol.92 , pp. 315-321
    • Agresti, A.1
  • 4
    • 0033636008 scopus 로고    scopus 로고
    • Reparameterizing the pattern mixture model for sensitivity analyses under informative dropout
    • M. J. Daniels & J. W. Hogan (2000). Reparameterizing the pattern mixture model for sensitivity analyses under informative dropout. Biometrics, 56, 1241-1248.
    • (2000) Biometrics , vol.56 , pp. 1241-1248
    • Daniels, M.J.1    Hogan, J.W.2
  • 7
    • 0001708275 scopus 로고
    • A likelihood-based method for analysing longitudinal binary responses
    • G. M. Fitzmaurice & N. M. Laird (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
  • 11
    • 0032887209 scopus 로고    scopus 로고
    • Marginally specified logistic-normal models for longitudinal binary data
    • P. J. Heagerty (1999). Marginally specified logistic-normal models for longitudinal binary data. Biometrics, 55, 688-698.
    • (1999) Biometrics , vol.55 , pp. 688-698
    • Heagerty, P.J.1
  • 12
    • 0035989803 scopus 로고    scopus 로고
    • Marginalized transition models and likelihood inference for longitudinal categorical data
    • P. J. Heagerty (2002). Marginalized transition models and likelihood inference for longitudinal categorical data. Biometrics, 58, 342-351.
    • (2002) Biometrics , vol.58 , pp. 342-351
    • Heagerty, P.J.1
  • 13
    • 0000024102 scopus 로고    scopus 로고
    • Misspecified maximum likelihood estimates and generalised linear mixed models
    • P. J. Heagerty & B. F. Kurland (2001). Misspecified maximum likelihood estimates and generalised linear mixed models. Biometrika, 88, 973-985.
    • (2001) Biometrika , vol.88 , pp. 973-985
    • Heagerty, P.J.1    Kurland, B.F.2
  • 14
    • 0036016749 scopus 로고    scopus 로고
    • Bayesian methods for generalized linear models with covariates missing at random
    • J. G. Ibrahim, M.-H. Chen & S. R. Lipsitz (2002). Bayesian methods for generalized linear models with covariates missing at random. The Canadian Journal of Statistics, 30, 55-78.
    • (2002) The Canadian Journal of Statistics , vol.30 , pp. 55-78
    • Ibrahim, J.G.1    Chen, M.-H.2    Lipsitz, S.R.3
  • 16
  • 17
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • K-Y. Liang & S. L. Zeger (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
  • 19
    • 15844390639 scopus 로고    scopus 로고
    • Marginal modeling of multilevel binary data with time-varying covariates
    • D. L. Miglioretti & P. J. Heagerty (2004). Marginal modeling of multilevel binary data with time-varying covariates. Biostatistics, 5, 381-398.
    • (2004) Biostatistics , vol.5 , pp. 381-398
    • Miglioretti, D.L.1    Heagerty, P.J.2
  • 21
    • 0036192069 scopus 로고    scopus 로고
    • Dynamic conditionally linear mixed models for longitudinal data
    • M. Pourahmadi & M. J. Daniels (2002). Dynamic conditionally linear mixed models for longitudinal data. Biometrics, 58, 225-231.
    • (2002) Biometrics , vol.58 , pp. 225-231
    • Pourahmadi, M.1    Daniels, M.J.2
  • 22
    • 33751018855 scopus 로고    scopus 로고
    • Simultaneous modelling of the Cholesky decomposition of several covariance matrices
    • M. Pourahmadi, M. J. Daniels & T. Park (2007). Simultaneous modelling of the Cholesky decomposition of several covariance matrices. Journal of Multivariate Analysis, 98, 568-587.
    • (2007) Journal of Multivariate Analysis , vol.98 , pp. 568-587
    • Pourahmadi, M.1    Daniels, M.J.2    Park, T.3
  • 23
    • 0035961475 scopus 로고    scopus 로고
    • Latent class marginal regression models for longitudinal data: Modeling youthful drug involvement and its suspected influences
    • B. A. Reboussin & J. C. Anthony (2001). Latent class marginal regression models for longitudinal data: Modeling youthful drug involvement and its suspected influences. Statistics in Medicine, 20, 623-639.
    • (2001) Statistics in Medicine , vol.20 , pp. 623-639
    • Reboussin, B.A.1    Anthony, J.C.2
  • 24
    • 0036192328 scopus 로고    scopus 로고
    • The analysis of repeated multivariate binary quality of life data: A hierarchical model approach
    • H. Ribaudo & S. G. Thompson (2002). The analysis of repeated multivariate binary quality of life data: A hierarchical model approach. Statistical Methods in Medical Research, 11, 69-83.
    • (2002) Statistical Methods in Medical Research , vol.11 , pp. 69-83
    • Ribaudo, H.1    Thompson, S.G.2
  • 26
    • 84950421496 scopus 로고
    • Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
    • J. M. Robins, A. Rotnitzky, L. P. Zhao (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. Journal of the American Statistical Association, 90, 106-121.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 106-121
    • Robins, J.M.1    Rotnitzky, A.2    Zhao, L.P.3
  • 27
    • 85153200720 scopus 로고    scopus 로고
    • J. S. Schildcrout & P. J. Heagerty (2006). Marginalized models for moderate to long series of longitudinal binary response data. Biometrics, published online: 16 November 2006, DOI: 10.1111/j.1541-0420.2006.00680.x
    • J. S. Schildcrout & P. J. Heagerty (2006). Marginalized models for moderate to long series of longitudinal binary response data. Biometrics, published online: 16 November 2006, DOI: 10.1111/j.1541-0420.2006.00680.x
  • 32
    • 0035102436 scopus 로고    scopus 로고
    • Sensitivity analysis for nonrandom dropout: A local influence approach
    • G. Verbeke, G. Molenberghs, H. Thijs, E. Lesaffre & M. G. Kenward (2001). Sensitivity analysis for nonrandom dropout: A local influence approach. Biometrics, 57, 7-14.
    • (2001) Biometrics , vol.57 , pp. 7-14
    • Verbeke, G.1    Molenberghs, G.2    Thijs, H.3    Lesaffre, E.4    Kenward, M.G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.