메뉴 건너뛰기




Volumn 57, Issue 2, 2004, Pages 295-310

A generalized estimating equations approach to mixed-effects ordinal probit models

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIOR; EDUCATION; HUMAN; METHODOLOGY; PSYCHOLOGY; STATISTICS; THEORETICAL MODEL;

EID: 8844250811     PISSN: 00071102     EISSN: None     Source Type: Journal    
DOI: 10.1348/0007110042307177     Document Type: Article
Times cited : (6)

References (40)
  • 1
    • 0002173542 scopus 로고
    • Multiperiod probit models and orthogonality condition estimation
    • Avery, R., Hansen, L. P., & Hotz, V. (1983). Multiperiod probit models and orthogonality condition estimation. International Economic Review, 24, 21-35.
    • (1983) International Economic Review , vol.24 , pp. 21-35
    • Avery, R.1    Hansen, L.P.2    Hotz, V.3
  • 3
    • 0000919515 scopus 로고
    • On the use of a working correlation matrix in using generalized linear models for repeated measures
    • Crowder, M. J. (1995). On the use of a working correlation matrix in using generalized linear models for repeated measures. Biometrika, 82, 407-410.
    • (1995) Biometrika , vol.82 , pp. 407-410
    • Crowder, M.J.1
  • 4
    • 0035648960 scopus 로고    scopus 로고
    • On repeated measures analysis with misspecifled covariance structure
    • Crowder, M. J. (2001). On repeated measures analysis with misspecifled covariance structure. Journal of the Royal Statistical Society, Series B, 63, 55-62.
    • (2001) Journal of the Royal Statistical Society, Series B , vol.63 , pp. 55-62
    • Crowder, M.J.1
  • 5
    • 0024887538 scopus 로고
    • Testing for random dropouts in repeated measurement data
    • Diggle, P. J. (1989). Testing for random dropouts in repeated measurement data. Biometrics, 45, 1255-1258.
    • (1989) Biometrics , vol.45 , pp. 1255-1258
    • Diggle, P.J.1
  • 8
    • 0001341675 scopus 로고
    • Numerical computation of multivariate normal probabilities
    • Genz, A. (1992). Numerical computation of multivariate normal probabilities. Journal of Computational and Graphical Statistics, 1, 141-149.
    • (1992) Journal of Computational and Graphical Statistics , vol.1 , pp. 141-149
    • Genz, A.1
  • 9
    • 0021603770 scopus 로고
    • A mixed model procedure for analyzing ordered categorical data
    • Harville, D. A., & Mee, R. W. (1984). A mixed model procedure for analyzing ordered categorical data. Biometrics, 40, 393-408.
    • (1984) Biometrics , vol.40 , pp. 393-408
    • Harville, D.A.1    Mee, R.W.2
  • 11
    • 0001780119 scopus 로고    scopus 로고
    • Marginalized multilevel models and likelihood inference
    • Heagerty, P. J., & Zeger, S. L. (2000). Marginalized multilevel models and likelihood inference. Statistical Science, 15, 1-26.
    • (2000) Statistical Science , vol.15 , pp. 1-26
    • Heagerty, P.J.1    Zeger, S.L.2
  • 12
    • 0028650772 scopus 로고
    • A random-effects ordinal regression model for multilevel analysis
    • Hedeker, D., & Gibbons, R. D. (1994). A random-effects ordinal regression model for multilevel analysis. Biometrics, 50, 933-944.
    • (1994) Biometrics , vol.50 , pp. 933-944
    • Hedeker, D.1    Gibbons, R.D.2
  • 13
    • 0030110906 scopus 로고    scopus 로고
    • MIXOR: A computer program for mixed-effects ordinal regression analysis
    • Hedeker, D., & Gibbons, R. D. (1996). MIXOR: A computer program for mixed-effects ordinal regression analysis. Computer Methods and Programs in Biomedicine, 49, 157-176.
    • (1996) Computer Methods and Programs in Biomedicine , vol.49 , pp. 157-176
    • Hedeker, D.1    Gibbons, R.D.2
  • 14
    • 0032219075 scopus 로고    scopus 로고
    • A multilevel thresholds of change model for analysis of stages of change data
    • Hedeker, D., & Mermelstein, R. J. (1998). A multilevel thresholds of change model for analysis of stages of change data. Multivariate Behavioral Research, 33, 427-455.
    • (1998) Multivariate Behavioral Research , vol.33 , pp. 427-455
    • Hedeker, D.1    Mermelstein, R.J.2
  • 15
    • 0001073812 scopus 로고    scopus 로고
    • Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators
    • Inkmann, J. (2000). Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators. Journal of Econometrics, 97, 227-259.
    • (2000) Journal of Econometrics , vol.97 , pp. 227-259
    • Inkmann, J.1
  • 16
    • 0002076134 scopus 로고
    • On the statistical analysis of ordinal data when extravariation is present
    • Jansen, J. (1990). On the statistical analysis of ordinal data when extravariation is present. Applied Statistics, 39, 75-84.
    • (1990) Applied Statistics , vol.39 , pp. 75-84
    • Jansen, J.1
  • 17
    • 38249019863 scopus 로고
    • Full maximum likelihood analysis of structural equation models with polytomous variables
    • Lee, S.-Y., Poon, W.-Y., & Bentler, P. M. (1990). Full maximum likelihood analysis of structural equation models with polytomous variables. Statistics & Probability Letters, 9, 91-97.
    • (1990) Statistics & Probability Letters , vol.9 , pp. 91-97
    • Lee, S.-Y.1    Poon, W.-Y.2    Bentler, P.M.3
  • 18
    • 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
  • 20
    • 0029915084 scopus 로고    scopus 로고
    • Generalized estimating equations for ordinal data: A note on working correlation structures
    • Lumley, T. (1996). Generalized estimating equations for ordinal data: A note on working correlation structures. Biometrics, 52, 354-361.
    • (1996) Biometrics , vol.52 , pp. 354-361
    • Lumley, T.1
  • 21
    • 0027731061 scopus 로고
    • The analysis of polytomous data: Generalized estimating equations and connections with weighted least squares
    • Miller, M. E., Davis, C. S., & Landis, J. R. (1993). The analysis of polytomous data: Generalized estimating equations and connections with weighted least squares. Biometrics, 49, 1033-1044.
    • (1993) Biometrics , vol.49 , pp. 1033-1044
    • Miller, M.E.1    Davis, C.S.2    Landis, J.R.3
  • 22
    • 84976969011 scopus 로고
    • Full-information factor analysis for polytomous item responses
    • Muraki, B., & Carlson, J. E. (1995). Full-information factor analysis for polytomous item responses. Applied Psychological Measurement, 19, 73-90.
    • (1995) Applied Psychological Measurement , vol.19 , pp. 73-90
    • Muraki, B.1    Carlson, J.E.2
  • 24
    • 0034368752 scopus 로고    scopus 로고
    • A note on marginal linear regression with correlated response data
    • Pan, W., Louis, T. A., & Connett, J. E. (2000). A note on marginal linear regression with correlated response data. American Statistician, 54, 191-195.
    • (2000) American Statistician , vol.54 , pp. 191-195
    • Pan, W.1    Louis, T.A.2    Connett, J.E.3
  • 25
    • 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) Statistics: Simulation and Computation , vol.23 , pp. 939-951
    • Pepe, M.S.1    Anderson, G.L.2
  • 26
    • 0001395585 scopus 로고
    • Partial proportional odds models for ordinal response variables
    • Peterson, B., & Harrell, F. E. (1990). Partial proportional odds models for ordinal response variables. Applied Statistics, 39, 205-217.
    • (1990) Applied Statistics , vol.39 , pp. 205-217
    • Peterson, B.1    Harrell, F.E.2
  • 27
    • 0024266392 scopus 로고
    • Correlated binary regression with covariates specific to each binary observation
    • Prentice, R. L. (1988). Correlated binary regression with covariates specific to each binary observation. Biometrics, 44, 1033-1048.
    • (1988) Biometrics , vol.44 , pp. 1033-1048
    • Prentice, R.L.1
  • 28
    • 0029065254 scopus 로고
    • Latent variable models for clustered ordinal data
    • Qu, Y., Piedmonte, M. R., & Medendorp, S. V. (1995). Latent variable models for clustered ordinal data. Biometrics, 51, 268-275.
    • (1995) Biometrics , vol.51 , pp. 268-275
    • Qu, Y.1    Piedmonte, M.R.2    Medendorp, S.V.3
  • 30
    • 0032391470 scopus 로고    scopus 로고
    • An estimating equations approach for the LISCOMP model
    • Reboussin, B. A., & Liang, K.-Y. (1998). An estimating equations approach for the LISCOMP model. Psychometrika, 63, 165-182.
    • (1998) Psychometrika , vol.63 , pp. 165-182
    • Reboussin, B.A.1    Liang, K.-Y.2
  • 31
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 33
    • 0029740924 scopus 로고    scopus 로고
    • Ordinal regression methodology for ROC curves derived from correlated data
    • Toledano, A., & Gatsonis, C. (1996). Ordinal regression methodology for ROC curves derived from correlated data. Statistics in Medicine, 15, 1807-1826.
    • (1996) Statistics in Medicine , vol.15 , pp. 1807-1826
    • Toledano, A.1    Gatsonis, C.2
  • 34
    • 0032967655 scopus 로고    scopus 로고
    • Generalized estimating equations for ordinal categorical data: Arbitrary patterns of missing responses and missingness in a key covariate
    • Toledano, A., & Gatsonis, C. (1999). Generalized estimating equations for ordinal categorical data: Arbitrary patterns of missing responses and missingness in a key covariate. Biometrics, 55, 488-496.
    • (1999) Biometrics , vol.55 , pp. 488-496
    • Toledano, A.1    Gatsonis, C.2
  • 35
    • 0036339745 scopus 로고    scopus 로고
    • Two-level linear paired comparison models: Estimation and identifiability issues
    • Tsai, R.-C., & Bockenholt, U. (2002). Two-level linear paired comparison models: Estimation and identifiability issues. Mathematical Social Sciences, 43, 429-449.
    • (2002) Mathematical Social Sciences , vol.43 , pp. 429-449
    • Tsai, R.-C.1    Bockenholt, U.2
  • 37
    • 77649173768 scopus 로고
    • Longitudinal analysis using generalized linear models
    • Zeger, S. L., & Liang, K.-Y. (1986). Longitudinal analysis using generalized linear models. Biometrika, 73, 13-22.
    • (1986) Biometrika , vol.73 , pp. 13-22
    • Zeger, S.L.1    Liang, K.-Y.2
  • 38
    • 0024205301 scopus 로고
    • Models for longitudinal data: A generalized estimating equation approach
    • Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988). Models for longitudinal data: A generalized estimating equation approach. Biometrics, 44, 1049-1060.
    • (1988) Biometrics , vol.44 , pp. 1049-1060
    • Zeger, S.L.1    Liang, K.-Y.2    Albert, P.S.3
  • 39
    • 12244310929 scopus 로고
    • Correlated binary regression using a quadratic exponential model
    • Zhao L.-P., & Prentice, R. L. (1990). Correlated binary regression using a quadratic exponential model. Biometrika, 77, 642-648.
    • (1990) Biometrika , vol.77 , pp. 642-648
    • Zhao, L.-P.1    Prentice, R.L.2
  • 40
    • 0040118921 scopus 로고    scopus 로고
    • The generalized estimating equations: An annotated bibliography
    • Ziegler, A., Kastner, C., & Blettner, M. (1998). The generalized estimating equations: An annotated bibliography. Biometrical Journal, 40, 115-139.
    • (1998) Biometrical Journal , vol.40 , pp. 115-139
    • Ziegler, A.1    Kastner, C.2    Blettner, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.