메뉴 건너뛰기




Volumn 73, Issue 3, 2008, Pages 343-364

A Robust Bayesian approach for structural equation models with missing data

Author keywords

Model comparison; Nonlinear structural equation models with covariates; Normal independent distributions; Robust Bayesian methods

Indexed keywords


EID: 52949118123     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11336-008-9060-5     Document Type: Article
Times cited : (20)

References (48)
  • 3
    • 0034557673 scopus 로고    scopus 로고
    • Bayesian factor analysis for multilevel binary observations
    • A. Ansari K. Jedidi 2000 Bayesian factor analysis for multilevel binary observations Psychometrika 64 475 496
    • (2000) Psychometrika , vol.64 , pp. 475-496
    • Ansari, A.1    Jedidi, K.2
  • 5
    • 0001648095 scopus 로고
    • Robustness of statistical influence in factor analysis and related models
    • M.W. Browne 1987 Robustness of statistical influence in factor analysis and related models Biometrika 74 375 384
    • (1987) Biometrika , vol.74 , pp. 375-384
    • Browne, M.W.1
  • 7
    • 3442892535 scopus 로고    scopus 로고
    • A new joint model for longitudinal and survival data with a cure fraction
    • M.H. Chen J.G. Ibrahim D. Sinha 2004 A new joint model for longitudinal and survival data with a cure fraction Journal of Multivariate Analysis 91 18 34
    • (2004) Journal of Multivariate Analysis , vol.91 , pp. 18-34
    • Chen, M.H.1    Ibrahim, J.G.2    Sinha, D.3
  • 10
    • 0035103375 scopus 로고    scopus 로고
    • Factor analytic models of clustered multivariate data with informative censoring
    • D.B. Dunson S.D. Perreault 2001 Factor analytic models of clustered multivariate data with informative censoring Biometrics 57 302 308
    • (2001) Biometrics , vol.57 , pp. 302-308
    • Dunson, D.B.1    Perreault, S.D.2
  • 13
    • 0000736067 scopus 로고    scopus 로고
    • Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
    • A. Gelman X.L. Meng 1998 Simulating normalizing constants: From importance sampling to bridge sampling to path sampling Statistical Science 13 163 185
    • (1998) Statistical Science , vol.13 , pp. 163-185
    • Gelman, A.1    Meng, X.L.2
  • 15
    • 77956890234 scopus 로고
    • Monter Carlo sampling methods using Markov chains and their applications
    • W.K. Hastings 1970 Monter Carlo sampling methods using Markov chains and their applications Biometrika 57 97 109
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 16
    • 0030327881 scopus 로고    scopus 로고
    • The effect of improper priors on Gibbs sampling in hierarchical linear mixed models
    • J.P. Hobert G. Casella 1996 The effect of improper priors on Gibbs sampling in hierarchical linear mixed models Journal of the American Statistical Association 91 1461 1473
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 1461-1473
    • Hobert, J.P.1    Casella, G.2
  • 19
    • 0001107419 scopus 로고
    • Consistency property of elliptical probability density function
    • Y. Kano 1994 Consistency property of elliptical probability density function Journal of Multivariate Analysis 51 139 147
    • (1994) Journal of Multivariate Analysis , vol.51 , pp. 139-147
    • Kano, Y.1
  • 20
    • 21144468815 scopus 로고
    • Statistical inference based on pseudomaximum likelihood estimators in elliptical populations
    • Y. Kano M. Berkane P.M. Bentler 1993 Statistical inference based on pseudomaximum likelihood estimators in elliptical populations Journal of the American Statistical Association 88 135 143
    • (1993) Journal of the American Statistical Association , vol.88 , pp. 135-143
    • Kano, Y.1    Berkane, M.2    Bentler, P.M.3
  • 24
    • 0141481031 scopus 로고    scopus 로고
    • Bayesian analysis of structural equation models with dichotomous variables
    • S.Y. Lee X.Y. Song 2003 Bayesian analysis of structural equation models with dichotomous variables Statistics in Medicine 22 3073 3088
    • (2003) Statistics in Medicine , vol.22 , pp. 3073-3088
    • Lee, S.Y.1    Song, X.Y.2
  • 25
    • 0038810230 scopus 로고    scopus 로고
    • Model comparison of nonlinear structural equation models with fixed covariates
    • S.Y. Lee X.Y. Song 2003 Model comparison of nonlinear structural equation models with fixed covariates Psychometrika 68 27 47
    • (2003) Psychometrika , vol.68 , pp. 27-47
    • Lee, S.Y.1    Song, X.Y.2
  • 26
    • 2642522065 scopus 로고    scopus 로고
    • Bayesian model comparison of nonlinear structural equation models with missing continuous and ordinal categorical data
    • S.Y. Lee X.Y. Song 2004 Bayesian model comparison of nonlinear structural equation models with missing continuous and ordinal categorical data British Journal of Mathematical and Statistical Psychology 57 131 150
    • (2004) British Journal of Mathematical and Statistical Psychology , vol.57 , pp. 131-150
    • Lee, S.Y.1    Song, X.Y.2
  • 27
    • 19844369721 scopus 로고    scopus 로고
    • Evaluation of the Bayesian and maximum likelihood approaches in analyzing structural equation models with small sample sizes
    • S.Y. Lee X.Y. Song 2004 Evaluation of the Bayesian and maximum likelihood approaches in analyzing structural equation models with small sample sizes Multivariate Behavioral Research 39 653 686
    • (2004) Multivariate Behavioral Research , vol.39 , pp. 653-686
    • Lee, S.Y.1    Song, X.Y.2
  • 28
    • 4444348036 scopus 로고    scopus 로고
    • Maximum likelihood analysis of a general latent variable with hierarchically mixed data
    • S.Y. Lee X.Y. Song 2004 Maximum likelihood analysis of a general latent variable with hierarchically mixed data Biometrics 60 624 636
    • (2004) Biometrics , vol.60 , pp. 624-636
    • Lee, S.Y.1    Song, X.Y.2
  • 29
    • 33846091960 scopus 로고    scopus 로고
    • A unified maximum likelihood approach for analyzing structural equation models with missing non-standard data
    • S.Y. Lee X.Y. Song 2007 A unified maximum likelihood approach for analyzing structural equation models with missing non-standard data Sociological Methods & Research 35 352 381
    • (2007) Sociological Methods & Research , vol.35 , pp. 352-381
    • Lee, S.Y.1    Song, X.Y.2
  • 30
    • 33751224758 scopus 로고    scopus 로고
    • Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data.
    • S.Y. Lee Y.M. Xia 2006 Maximum likelihood methods in treating outliers and symmetrically heavy-tailed distributions for nonlinear structural equation models with missing data. Psychometrika 71 565 585
    • (2006) Psychometrika , vol.71 , pp. 565-585
    • Lee, S.Y.1    Xia, Y.M.2
  • 31
    • 0023842809 scopus 로고
    • Robust estimation of mean and covariance matrix from data with missing values
    • R.J.A. Little 1988 Robust estimation of mean and covariance matrix from data with missing values Applied Statistics 37 23 39
    • (1988) Applied Statistics , vol.37 , pp. 23-39
    • Little, R.J.A.1
  • 33
    • 2942533166 scopus 로고
    • Missing data imputation using the multivariate t-distribution
    • C.H. Liu 1995 Missing data imputation using the multivariate t-distribution Journal of Multivariate Analysis 46 198 206
    • (1995) Journal of Multivariate Analysis , vol.46 , pp. 198-206
    • Liu, C.H.1
  • 34
    • 0042123139 scopus 로고    scopus 로고
    • Bayesian robust multivariate linear regression with incomplete data
    • C.H. Liu 1996 Bayesian robust multivariate linear regression with incomplete data Journal of the American Statistical Association 91 1219 1227
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 1219-1227
    • Liu, C.H.1
  • 35
    • 0000315742 scopus 로고
    • The ECME algorithm: A simple extension of em and ECM with Faster Monotone convergence
    • C.H. Liu D.B. Rubin 1994 The ECME algorithm: A simple extension of EM and ECM with Faster Monotone convergence Biometrika 81 633 648
    • (1994) Biometrika , vol.81 , pp. 633-648
    • Liu, C.H.1    Rubin, D.B.2
  • 37
    • 0000115201 scopus 로고
    • Measuring the effect of observations on the Bayes factor
    • L.I. Pettit K.D.S. Young 1990 Measuring the effect of observations on the Bayes factor Biometrika 77 455 466
    • (1990) Biometrika , vol.77 , pp. 455-466
    • Pettit, L.I.1    Young, K.D.S.2
  • 38
    • 0043232568 scopus 로고    scopus 로고
    • Simulation of right and left truncated gamma distributions by mixtures
    • A. Philippe 1997 Simulation of right and left truncated gamma distributions by mixtures Statistics and Computing 7 173 181
    • (1997) Statistics and Computing , vol.7 , pp. 173-181
    • Philippe, A.1
  • 39
    • 33847285497 scopus 로고    scopus 로고
    • Longitudinal analysis with regression among random effects: A latent variable modeling approach
    • T. Raykov 2007 Longitudinal analysis with regression among random effects: A latent variable modeling approach Structural Equation Modeling: A Multidisciplinary Journal 14 146 169
    • (2007) Structural Equation Modeling: A Multidisciplinary Journal , vol.14 , pp. 146-169
    • Raykov, T.1
  • 40
    • 0000940729 scopus 로고
    • Facilitating the Gibbs sampler: The Gibbs stopper and the Griddy-Gibbs sampler
    • C. Ritter M. Tanner 1992 Facilitating the Gibbs sampler: The Gibbs stopper and the Griddy-Gibbs sampler Journal of the American Statistical Association 87 861 868
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 861-868
    • Ritter, C.1    Tanner, M.2
  • 41
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • R. Scheines H. Hoijtink A. Boomsma 1999 Bayesian estimation and testing of structural equation models Psychometrika 64 37 52
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hoijtink, H.2    Boomsma, A.3
  • 43
    • 2642526972 scopus 로고    scopus 로고
    • Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data
    • X.Y. Song S.Y. Lee 2004 Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data British Journal of Mathematical and Statistical Psychology 57 29 52
    • (2004) British Journal of Mathematical and Statistical Psychology , vol.57 , pp. 29-52
    • Song, X.Y.1    Lee, S.Y.2
  • 44
    • 33646797704 scopus 로고    scopus 로고
    • Model comparison of generalized linear mixed models
    • X.Y. Song S.Y. Lee 2006 Model comparison of generalized linear mixed models Statistics in Medicine 25 1685 1698
    • (2006) Statistics in Medicine , vol.25 , pp. 1685-1698
    • Song, X.Y.1    Lee, S.Y.2
  • 45
    • 33846403783 scopus 로고    scopus 로고
    • Bayesian analysis of latent variable models with nonignorable missing outcomes from exponential family
    • X.Y. Song S.Y. Lee 2007 Bayesian analysis of latent variable models with nonignorable missing outcomes from exponential family Statistics in Medicine 26 681 693
    • (2007) Statistics in Medicine , vol.26 , pp. 681-693
    • Song, X.Y.1    Lee, S.Y.2
  • 46
    • 34248364041 scopus 로고    scopus 로고
    • Bayesian analysis of structural equation models with multinomial variables and an application to type 2 diabetic nephropathy
    • X.Y. Song S.Y. Lee M.C. Ng W.Y. So J.C.N. Chan 2007 Bayesian analysis of structural equation models with multinomial variables and an application to type 2 diabetic nephropathy Statistics in Medicine 26 2348 2369
    • (2007) Statistics in Medicine , vol.26 , pp. 2348-2369
    • Song, X.Y.1    Lee, S.Y.2    Ng, M.C.3    So, W.Y.4    Chan, J.C.N.5
  • 47
    • 4644256594 scopus 로고    scopus 로고
    • The metabolic syndrome defined by factor analysis and incident type 2 diabetes in Chinese population with high postprandial glucose
    • J.J. Wang Q. Qiao M. Mietting J. Lappalainen G. Hu J. Tuomilehto 2004 The metabolic syndrome defined by factor analysis and incident type 2 diabetes in Chinese population with high postprandial glucose Diabetes Care 27 2429 2437
    • (2004) Diabetes Care , vol.27 , pp. 2429-2437
    • Wang, J.J.1    Qiao, Q.2    Mietting, M.3    Lappalainen, J.4    Hu, G.5    Tuomilehto, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.