메뉴 건너뛰기




Volumn 15, Issue 3, 2005, Pages 645-664

A multivariate probit latent variable model for analyzing dichotomous responses

Author keywords

Maximum likelihood; Monte Carlo EM algorithm; Observed data likelihood; Path sampling

Indexed keywords


EID: 27144553773     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (38)

References (54)
  • 1
    • 84970176749 scopus 로고
    • Knowledge of acquired immune deficiency syndrome and sexual responsibility among high school students
    • Andre, T. and Lynda, B. (1991). Knowledge of acquired immune deficiency syndrome and sexual responsibility among high school students. Youth Soc. 22, 339-361.
    • (1991) Youth Soc. , vol.22 , pp. 339-361
    • Andre, T.1    Lynda, B.2
  • 2
    • 0034557673 scopus 로고    scopus 로고
    • Bayesian factor analysis for multilevel binary observations
    • Ansari, A. and Jedidi, K. (2000). Bayesian factor analysis for multilevel binary observations. Psychometrika 65, 475-498.
    • (2000) Psychometrika , vol.65 , pp. 475-498
    • Ansari, A.1    Jedidi, K.2
  • 3
    • 0014841634 scopus 로고
    • Multivariate probit analysis
    • Ashford J. R. and Sowden R. R. (1970). Multivariate probit analysis. Biometrics 26, 535-546.
    • (1970) Biometrics , vol.26 , pp. 535-546
    • Ashford, J.R.1    Sowden, R.R.2
  • 4
    • 0032583108 scopus 로고    scopus 로고
    • The analysis of complex patterns of longitudinal binary response: An example of transient dysphagia following radiotherapy
    • Beacon, H. J. and Thompson, S. G. (1998). The analysis of complex patterns of longitudinal binary response: an example of transient dysphagia following radiotherapy. Statist. Medicine 17, 2551-2561.
    • (1998) Statist. Medicine , vol.17 , pp. 2551-2561
    • Beacon, H.J.1    Thompson, S.G.2
  • 6
    • 0026957489 scopus 로고
    • Structural equation models in medical research
    • Bentler, P. M. and Stein, J. A. (1992). Structural equation models in medical research. Statist. Meth. Medical Res. 1, 159-181.
    • (1992) Statist. Meth. Medical Res. , vol.1 , pp. 159-181
    • Bentler, P.M.1    Stein, J.A.2
  • 7
    • 0042107603 scopus 로고    scopus 로고
    • Objective Bayesian methods for model selection: Introduction and comparison
    • (Edited by P. Lahiri). Beachwood, Ohio
    • Berger, J. O. and Pericchi, L. R. (2001). Objective Bayesian methods for model selection: introduction and comparison. In Model Selection, (Edited by P. Lahiri). Beachwood, Ohio.
    • (2001) Model Selection
    • Berger, J.O.1    Pericchi, L.R.2
  • 8
    • 0000433590 scopus 로고
    • Marginal maximum likelihood estimation of item parameters: Application of an em algorithm
    • Bock, R. D. and Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: application of an EM algorithm. Psychometrika 46, 443-445.
    • (1981) Psychometrika , vol.46 , pp. 443-445
    • Bock, R.D.1    Aitkin, M.2
  • 9
    • 0030451789 scopus 로고    scopus 로고
    • High dimensional multivariate probit analysis
    • Bock, R. D. and Gibbons, R. D. (1996). High dimensional multivariate probit analysis. Biometrics 52, 1183-1194.
    • (1996) Biometrics , vol.52 , pp. 1183-1194
    • Bock, R.D.1    Gibbons, R.D.2
  • 11
    • 0029741322 scopus 로고    scopus 로고
    • The metabolic syndrome in Hong Kong Chinese: The interrelationship among its components analyzed by structural equation modeling
    • Chan, C. N., Chan, Y. W., Cheung, C. K., Swaminathan, R., Lan, M. C., Cockrama, S. and Wooa, J. (1996). The metabolic syndrome in Hong Kong Chinese: the interrelationship among its components analyzed by structural equation modeling. Diabetes Care 19, 953-959.
    • (1996) Diabetes Care , vol.19 , pp. 953-959
    • Chan, C.N.1    Chan, Y.W.2    Cheung, C.K.3    Swaminathan, R.4    Lan, M.C.5    Cockrama, S.6    Wooa, J.7
  • 12
    • 0000911137 scopus 로고    scopus 로고
    • Analysis of multivariate probit models
    • Chib, S. and Greenberg, E. (1998). Analysis of multivariate probit models. Biometrika 85, 347-361.
    • (1998) Biometrika , vol.85 , pp. 347-361
    • Chib, S.1    Greenberg, E.2
  • 13
    • 0141631170 scopus 로고    scopus 로고
    • Adherence and the placebo effect
    • (Edited by A. S. Sally, B. S. Eleanor, K. O. Judith and L. M. Wendy). Springer, New York
    • Czajkowski, S. M., Margaret, A. C. and Ashley, W. S. (1998). Adherence and the placebo effect, In The Handbook of Health Behavior Change. 2nd edition. (Edited by A. S. Sally, B. S. Eleanor, K. O. Judith and L. M. Wendy), 513-534. Springer, New York.
    • (1998) The Handbook of Health Behavior Change. 2nd Edition , pp. 513-534
    • Czajkowski, S.M.1    Margaret, A.C.2    Ashley, W.S.3
  • 14
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Statist. Soc. Ser. B 39, 1-38.
    • (1977) J. Roy. Statist. Soc. Ser. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 16
    • 0005636451 scopus 로고    scopus 로고
    • Promoting Adherence to courses of treatment: Mutual collaboration in the physician-patient relationship
    • (Edited by D. J. Lorraine, K. D. Bernard). Greenwood, Westport, Connecticut
    • DiMatteo, M. R. and Heidi, S. L. (1998). Promoting Adherence to courses of treatment: mutual collaboration in the physician-patient relationship, In Health Communication Research: A Guide to Developments and Directions (Edited by D. J. Lorraine, K. D. Bernard), 71-98. Greenwood, Westport, Connecticut.
    • (1998) Health Communication Research: A Guide to Developments and Directions , pp. 71-98
    • DiMatteo, M.R.1    Heidi, S.L.2
  • 17
    • 0033571344 scopus 로고    scopus 로고
    • Item response models for longitudinal quality of life data in clinical trials
    • Douglas, J. A. (1999). Item response models for longitudinal quality of life data in clinical trials. Statist. Medicine 18, 2917-2931.
    • (1999) Statist. Medicine , vol.18 , pp. 2917-2931
    • Douglas, J.A.1
  • 19
    • 0000736067 scopus 로고    scopus 로고
    • Simulating normalizing constant: From importance sampling to bridge sampling to path sampling
    • Gelman, A. and Meng, X. L. (1998). Simulating normalizing constant: From importance sampling to bridge sampling to path sampling. Statist. Sci. 13, 163-185.
    • (1998) Statist. Sci. , vol.13 , pp. 163-185
    • Gelman, A.1    Meng, X.L.2
  • 20
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Geman, S. and Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 21
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo
    • Geyer, C. J. (1992). Practical Markov chain Monte Carlo (with discussion). Statist. Sci. 7, 473-511.
    • (1992) Statist. Sci. , vol.7 , pp. 473-511
    • Geyer, C.J.1
  • 22
    • 0032533395 scopus 로고    scopus 로고
    • Emergence of childhood psychiatric disorders: A multivariate probit analysis
    • Gibbons, R. D. and Lavigne, J. V. (1998). Emergence of childhood psychiatric disorders: a multivariate probit analysis. Statist. Medicine 17, 2487-2499.
    • (1998) Statist. Medicine , vol.17 , pp. 2487-2499
    • Gibbons, R.D.1    Lavigne, J.V.2
  • 23
    • 0032337233 scopus 로고    scopus 로고
    • Health service utilization and insurance coverage: A multivariate probit model
    • Gibbons, R. D. and Wilcox-Gök, V. (1998). Health service utilization and insurance coverage: a multivariate probit model. J. Amer. Statist. Assoc. 93, 63-72.
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 63-72
    • Gibbons, R.D.1    Wilcox-Gök, V.2
  • 28
    • 0003802477 scopus 로고
    • A multivariate generalization of probit analysis
    • Kolakowski, D. and Bock, R. D. (1981). A multivariate generalization of probit analysis. Biometrics 37, 541-551.
    • (1981) Biometrics , vol.37 , pp. 541-551
    • Kolakowski, D.1    Bock, R.D.2
  • 29
    • 0034867298 scopus 로고    scopus 로고
    • Maximum likelihood estimation of two-level latent variable models with mixed continuous and polytomous data
    • Lee, S. Y. and Shi, J. Q. (2001). Maximum likelihood estimation of two-level latent variable models with mixed continuous and polytomous data. Biometrics 57, 787-794.
    • (2001) Biometrics , vol.57 , pp. 787-794
    • Lee, S.Y.1    Shi, J.Q.2
  • 30
    • 0141481031 scopus 로고    scopus 로고
    • Bayesian analysis of structural equation models with dichotomous variables
    • Lee, S. Y. and Song, X. Y. (2003a). Bayesian analysis of structural equation models with dichotomous variables. Statist. Medicine 22, 3073-3088.
    • (2003) Statist. Medicine , vol.22 , pp. 3073-3088
    • Lee, S.Y.1    Song, X.Y.2
  • 31
    • 0038810230 scopus 로고    scopus 로고
    • Model Comparison of nonlinear structural equation models with fixed covariates
    • Lee, S. Y. and Song, X. Y. (2003b). 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
  • 32
    • 0038457409 scopus 로고    scopus 로고
    • Bayesian model selection for mixtures of structural equation models with an unknown number of components
    • Lee, S. Y. and Song, X. Y. (2003c). Bayesian model selection for mixtures of structural equation models with an unknown number of components. British J. Math. Statist. Psych. 56, 145-165.
    • (2003) British J. Math. Statist. Psych. , vol.56 , pp. 145-165
    • Lee, S.Y.1    Song, X.Y.2
  • 33
    • 0035998148 scopus 로고    scopus 로고
    • Maximum likelihood estimation of nonlinear structural equation models
    • Lee, S. Y. and Zhu, H. T. (2002). Maximum likelihood estimation of nonlinear structural equation models. Psychometrika 67, 189-210.
    • (2002) Psychometrika , vol.67 , pp. 189-210
    • Lee, S.Y.1    Zhu, H.T.2
  • 34
    • 0019859226 scopus 로고
    • Cost sharing, supplementary insurance, and health services utilization among the medicare elderly
    • Link, C. R., Long, S. H. and Settle, R. (1980). Cost sharing, supplementary insurance, and health services utilization among the medicare elderly. Health Care Financing Rev. 2, 25-31.
    • (1980) Health Care Financing Rev. , vol.2 , pp. 25-31
    • Link, C.R.1    Long, S.H.2    Settle, R.3
  • 35
    • 0001044972 scopus 로고
    • Finding the observed information matrix when using em algorithm
    • Louis, T. A. (1982). Finding the observed information matrix when using EM algorithm. J. Roy. Statist. Soc. Ser. B 44, 226-233.
    • (1982) J. Roy. Statist. Soc. Ser. B , vol.44 , pp. 226-233
    • Louis, T.A.1
  • 36
    • 0000251971 scopus 로고
    • Maximum likelihood estimation via the ECM algorithm: A general framework
    • Meng, X. L. and Rubin, D. B. (1993). Maximum likelihood estimation via the ECM algorithm: A general framework. Biometrika 80, 267-278.
    • (1993) Biometrika , vol.80 , pp. 267-278
    • Meng, X.L.1    Rubin, D.B.2
  • 37
    • 0030336223 scopus 로고    scopus 로고
    • Fitting full-information item factor models and an empirical investigation of bridge sampling
    • Meng, X. L. and Schilling, S. (1996). Fitting full-information item factor models and an empirical investigation of bridge sampling. J. Amer. Statist. Assoc. 91, 1254-1267.
    • (1996) J. Amer. Statist. Assoc. , vol.91 , pp. 1254-1267
    • Meng, X.L.1    Schilling, S.2
  • 38
    • 21444451325 scopus 로고    scopus 로고
    • Simulating ratios of normalizing constants via a simple identity: A theoretical exploration
    • Meng, X. L. and Wong, H. W. (1996). Simulating ratios of normalizing constants via a simple identity: a theoretical exploration. Statist. Sinica 6, 831-360.
    • (1996) Statist. Sinica , vol.6 , pp. 831-1360
    • Meng, X.L.1    Wong, H.W.2
  • 40
    • 0000847016 scopus 로고
    • Likelihood inference in a correlated probit regression model
    • Ochi, Y. and Prentice, R. L. (1984). Likelihood inference in a correlated probit regression model. Biometrika 71, 531-543.
    • (1984) Biometrika , vol.71 , pp. 531-543
    • Ochi, Y.1    Prentice, R.L.2
  • 41
    • 0033611735 scopus 로고    scopus 로고
    • Latent variables, measurement error and methods for analyzing longitudinal binary and ordinal data
    • Palta, M. (1999). Latent variables, measurement error and methods for analyzing longitudinal binary and ordinal data. Statist. Medicine 18, 385-396.
    • (1999) Statist. Medicine , vol.18 , pp. 385-396
    • Palta, M.1
  • 42
    • 0002884680 scopus 로고
    • Bayesian model selection in structural equation models
    • (Edited by K. A. Bollen and J. S. Long). Sage, Beverly Hills, California
    • Raftery, A. E. (1993). Bayesian model selection in structural equation models. In Testing Structural Equation Models (Edited by K. A. Bollen and J. S. Long), 163-180. Sage, Beverly Hills, California.
    • (1993) Testing Structural Equation Models , pp. 163-180
    • Raftery, A.E.1
  • 43
    • 0001911612 scopus 로고    scopus 로고
    • Measuring adherence with medication regiments in clinical care and research
    • (Edited by A. S. Sally, B. S. Eleanor, K. O. Judith, L. M. Wendy). Springer, New York
    • Rand, C. S. and Kathleen, W. (1998). Measuring adherence with medication regiments in clinical care and research, In The Handbook of Health Behavior Change. 2nd edition. (Edited by A. S. Sally, B. S. Eleanor, K. O. Judith, L. M. Wendy), 71-103. Springer, New York.
    • (1998) The Handbook of Health Behavior Change. 2nd Edition , pp. 71-103
    • Rand, C.S.1    Kathleen, W.2
  • 44
    • 0001098534 scopus 로고
    • EM and beyond
    • Rubin, D. B. (1991). EM and beyond. Psychometrika 56, 241-254.
    • (1991) Psychometrika , vol.56 , pp. 241-254
    • Rubin, D.B.1
  • 45
    • 0001571385 scopus 로고    scopus 로고
    • Latent variable models for mixed discrete and continuous outcomes
    • Sammel, M. D., Ryan, L. M. and Legler, J. M. (1997). Latent variable models for mixed discrete and continuous outcomes. J. Roy. Statist. Soc. Ser. B 59, 667-678.
    • (1997) J. Roy. Statist. Soc. Ser. B , vol.59 , pp. 667-678
    • Sammel, M.D.1    Ryan, L.M.2    Legler, J.M.3
  • 46
    • 0034364839 scopus 로고    scopus 로고
    • Latent variable models with mixed continuous and polytomous data
    • Shi, J. Q. and Lee, S. Y. (2000). Latent variable models with mixed continuous and polytomous data. J. Roy. Statist. Soc. Ser. B 62, 77-87.
    • (2000) J. Roy. Statist. Soc. Ser. B , vol.62 , pp. 77-87
    • Shi, J.Q.1    Lee, S.Y.2
  • 47
    • 0035998146 scopus 로고    scopus 로고
    • Analysis of structural equation model with ignorable missing continuous and polytomous data
    • Song, X. Y. and Lee, S. Y. (2002). Analysis of structural equation model with ignorable missing continuous and polytomous data. Psychometrika 67, 261-288.
    • (2002) Psychometrika , vol.67 , pp. 261-288
    • Song, X.Y.1    Lee, S.Y.2
  • 48
    • 0000563849 scopus 로고
    • On the relationship between item response theory and factor analysis of discretized variables
    • Takane, Y. and de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika 52, 393-408.
    • (1987) Psychometrika , vol.52 , pp. 393-408
    • Takane, Y.1    De Leeuw, J.2
  • 49
    • 0021919841 scopus 로고
    • Psychiatric epidemiology in a sample of 1510 ten-year-old children
    • Vikan, A. (1985). Psychiatric epidemiology in a sample of 1510 ten-year-old children. J. Child Psych. Psychiatry 26, 55-76.
    • (1985) J. Child Psych. Psychiatry , vol.26 , pp. 55-76
    • Vikan, A.1
  • 50
    • 0037080658 scopus 로고    scopus 로고
    • Item response models for joint analysis of quality of life and survival
    • Wang, C., Douglas, J. and Anderson, S. (2002). Item response models for joint analysis of quality of life and survival. Statist. Medicine 21, 129-142.
    • (2002) Statist. Medicine , vol.21 , pp. 129-142
    • Wang, C.1    Douglas, J.2    Anderson, S.3
  • 51
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithm
    • Wei, G. C. G. and Tanner, M. A. (1990). A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm. J. Amer. Statist. Assoc. 85, 699-704.
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 699-704
    • Wei, G.C.G.1    Tanner, M.A.2
  • 52
    • 0026316050 scopus 로고
    • Adverse selection, moral hazard, and wealth effects in the medigap insurance market
    • Wolfe, J. R. and Goddeeris, J. H. (1991). Adverse selection, moral hazard, and wealth effects in the medigap insurance market. J. Health Economics 10, 433-459.
    • (1991) J. Health Economics , vol.10 , pp. 433-459
    • Wolfe, J.R.1    Goddeeris, J.H.2
  • 53
    • 0035648116 scopus 로고    scopus 로고
    • Local influence for incomplete-data models
    • Zhu, H. T. and Lee, S. Y. (2001). Local influence for incomplete-data models. J. Roy. Statist. Soc. Ser. B 63, 111-126.
    • (2001) J. Roy. Statist. Soc. Ser. B , vol.63 , pp. 111-126
    • Zhu, H.T.1    Lee, S.Y.2
  • 54
    • 0038701965 scopus 로고    scopus 로고
    • Case-deletion measures for models with incomplete data
    • Zhu, H. T., Lee, S. Y., Wei, B. C. and Zhou, J. (2001). Case-deletion measures for models with incomplete data. Biometrika 88, 727-737.
    • (2001) Biometrika , vol.88 , pp. 727-737
    • Zhu, H.T.1    Lee, S.Y.2    Wei, B.C.3    Zhou, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.