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Volumn 15, Issue 4, 2005, Pages 1015-1032

Quantifying PQL bias in estimating cluster-level covariate effects in generalized linear mixed models for group-randomized trials

Author keywords

Asymptotic bias; Asymptotic variance; Generalized linear mixed models; Penalized quasilikelihood

Indexed keywords


EID: 30744446942     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (13)

References (16)
  • 1
    • 0039574786 scopus 로고
    • Robust M estimation in the two-sample problem
    • Akritas, M. G. (1991). Robust M estimation in the two-sample problem. J. Amer. Statist. Assoc. 86, 201-204.
    • (1991) J. Amer. Statist. Assoc. , vol.86 , pp. 201-204
    • Akritas, M.G.1
  • 3
    • 0011241944 scopus 로고
    • Approximate inference in generalized linear mixed models
    • Breslow, N. E. and Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. J. Amer. Statist. Assoc. 88, 9-25.
    • (1993) J. Amer. Statist. Assoc. , vol.88 , pp. 9-25
    • Breslow, N.E.1    Clayton, D.G.2
  • 4
    • 0003020981 scopus 로고
    • Bias correction in the generalized linear mixed model with a single component of dispersion
    • Breslow, N. E. and Lin, X. (1995). Bias correction in the generalized linear mixed model with a single component of dispersion. Biometrika 82, 81-91.
    • (1995) Biometrika , vol.82 , pp. 81-91
    • Breslow, N.E.1    Lin, X.2
  • 7
    • 0001499105 scopus 로고
    • Penalized likelihood for general semi-parametric regression models
    • Green, P. J. (1987). Penalized likelihood for general semi-parametric regression models. Internat. Statist. Rev. 55, 245-259.
    • (1987) Internat. Statist. Rev. , vol.55 , pp. 245-259
    • Green, P.J.1
  • 8
    • 0033234636 scopus 로고    scopus 로고
    • Conditional inference about generalized linear mixed models
    • Jiang, J. (1999). Conditional inference about generalized linear mixed models. Ann. Statist. 27, 1974-2007.
    • (1999) Ann. Statist. , vol.27 , pp. 1974-2007
    • Jiang, J.1
  • 9
    • 6644224313 scopus 로고    scopus 로고
    • Empirical best prediction for small area inference with binary data, Ann
    • Jiang J. and Lahiri P. (2001). Empirical best prediction for small area inference with binary data, Ann. Inst. Statist. Math. 53, 217-243.
    • (2001) Inst. Statist. Math. , vol.53 , pp. 217-243
    • Jiang, J.1    Lahiri, P.2
  • 10
    • 0030336576 scopus 로고    scopus 로고
    • Bias correction in generalized linear mixed models with multiple components of dispersion
    • Lin, X. and Breslow, N. E. (1996) Bias correction in generalized linear mixed models with multiple components of dispersion J. Amer. Statist. Assoc. 91, 1007-1016.
    • (1996) J. Amer. Statist. Assoc. , vol.91 , pp. 1007-1016
    • Lin, X.1    Breslow, N.E.2
  • 11
    • 0029938345 scopus 로고    scopus 로고
    • Efficiency of regression estimates for clustered data
    • Mancl, L. A. and Leroux, B. G. (1996). Efficiency of regression estimates for clustered data. Biometrics 52, 500-511.
    • (1996) Biometrics , vol.52 , pp. 500-511
    • Mancl, L.A.1    Leroux, B.G.2
  • 14
    • 0032714354 scopus 로고    scopus 로고
    • Empirical bayes estimation of random effects parameters in mixed effects logistic regression models
    • Ten Have, T. and Localio, R. (1999). Empirical bayes estimation of random effects parameters in mixed effects logistic regression models. Biometrics 55, 1022-1029.
    • (1999) Biometrics , vol.55 , pp. 1022-1029
    • Ten Have, T.1    Localio, R.2
  • 16
    • 0036489058 scopus 로고    scopus 로고
    • Conditional second-order generalized estimating equations for generalized linear and nonlinear mixed-effects models
    • Vonesh, E. F., Wang, H., Nie L. and Majumdar, D. (2002). Conditional second-order generalized estimating equations for generalized linear and nonlinear mixed-effects models. J. Amer. Statist. Assoc. 97, 271-283.
    • (2002) J. Amer. Statist. Assoc. , vol.97 , pp. 271-283
    • Vonesh, E.F.1    Wang, H.2    Nie, L.3    Majumdar, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.