메뉴 건너뛰기




Volumn 76, Issue 12, 2006, Pages 1049-1064

Fully conditional specification in multivariate imputation

Author keywords

Distributional compatibility; Gibbs sampling; Multiple imputation; Multivariate missing data; Proper imputation; Simulation

Indexed keywords


EID: 33751583679     PISSN: 00949655     EISSN: 15635163     Source Type: Journal    
DOI: 10.1080/10629360600810434     Document Type: Article
Times cited : (838)

References (37)
  • 6
    • 17744369513 scopus 로고    scopus 로고
    • Discussion of Arnold et al. 'Conditionally specified distributions'
    • Gelman, A. and Raghunathan, T.E., 2001, Discussion of Arnold et al. 'Conditionally specified distributions'. Statistical Science, 16, 249-274.
    • (2001) Statistical Science , vol.16 , pp. 249-274
    • Gelman, A.1    Raghunathan, T.E.2
  • 7
    • 0001342385 scopus 로고
    • A method of estimation of missing values in multivariate data suitable for use with an electronic computer
    • Buck, S.F., 1960, A method of estimation of missing values in multivariate data suitable for use with an electronic computer. Journal of the Royal Statistical Society B, 22, 302-306.
    • (1960) Journal of the Royal Statistical Society B , vol.22 , pp. 302-306
    • Buck, S.F.1
  • 8
    • 0001194903 scopus 로고
    • A proposal for handling missing data
    • Gleason, T.C. and Staelin, R., 1975, A proposal for handling missing data. Psychometrika, 40, 229-252.
    • (1975) Psychometrika , vol.40 , pp. 229-252
    • Gleason, T.C.1    Staelin, R.2
  • 9
    • 0001581342 scopus 로고
    • Estimation for the multiple factor model when data are missing
    • Finkbeiner, C., 1979, Estimation for the multiple factor model when data are missing. Psychometrika, 44, 409-420.
    • (1979) Psychometrika , vol.44 , pp. 409-420
    • Finkbeiner, C.1
  • 10
    • 0002288950 scopus 로고
    • A comparison of methods for treating incomplete data in selection research
    • Raymond, M.R. and Roberts, D.M., 1987, A comparison of methods for treating incomplete data in selection research. Educational and Psychological Measurement, 47, 13-26.
    • (1987) Educational and Psychological Measurement , vol.47 , pp. 13-26
    • Raymond, M.R.1    Roberts, D.M.2
  • 11
    • 84928850463 scopus 로고
    • Effect on secondary data analysis of common imputation methods
    • Jinn, J.-H. and Sedransk, J., 1989, Effect on secondary data analysis of common imputation methods. Sociological Methodology, 19, 213-241.
    • (1989) Sociological Methodology , vol.19 , pp. 213-241
    • Jinn, J.-H.1    Sedransk, J.2
  • 12
    • 0000497010 scopus 로고    scopus 로고
    • Treatments of missing data: A Monte Carlo comparison of RBHDI, iterative stochastic regression imputation, and expectation-maximization
    • Gold, M.S. and Bentler, P.M., 2000, Treatments of missing data: a Monte Carlo comparison of RBHDI, iterative stochastic regression imputation, and expectation-maximization. Structural Equation Modeling, 7, 319-355.
    • (2000) Structural Equation Modeling , vol.7 , pp. 319-355
    • Gold, M.S.1    Bentler, P.M.2
  • 13
    • 0039051974 scopus 로고
    • Imputation of the 1989 survey of consumer finances: Stochastic relaxation and multiple imputation
    • Alexandria, ASA
    • Kennickell, A.B., 1991, Imputation of the 1989 survey of consumer finances: stochastic relaxation and multiple imputation. ASA 1991 Proceedings of the Section on Survey Research Methods, Alexandria, ASA, pp. 1-10.
    • (1991) ASA 1991 Proceedings of the Section on Survey Research Methods , pp. 1-10
    • Kennickell, A.B.1
  • 18
    • 20344370565 scopus 로고    scopus 로고
    • Multiple imputation of missing values
    • Royston, P., 2004, Multiple imputation of missing values. The Stata Journal, 4, 227-241.
    • (2004) The Stata Journal , vol.4 , pp. 227-241
    • Royston, P.1
  • 19
    • 0345241817 scopus 로고    scopus 로고
    • Nested multiple imputation of NMES via partially incompatible MCMC
    • Rubin, D.B., 2003, Nested multiple imputation of NMES via partially incompatible MCMC. Statistica Neerlandica, 57, 3-18.
    • (2003) Statistica Neerlandica , vol.57 , pp. 3-18
    • Rubin, D.B.1
  • 20
    • 0346832638 scopus 로고    scopus 로고
    • Multiple imputation and disclosure control: The case of the 1995 Survey of Consumer Finances
    • Washington, DC: National Academy Press
    • Kennickell, A.B., 1999, Multiple imputation and disclosure control: the case of the 1995 Survey of Consumer Finances. Record Linkage Techniques 1997 (Washington, DC: National Academy Press), pp. 248-267.
    • (1999) Record Linkage Techniques 1997 , pp. 248-267
    • Kennickell, A.B.1
  • 21
    • 0033616909 scopus 로고    scopus 로고
    • Multiple imputation of missing blood pressure covariates in survival analysis
    • Van Buuren, S., Boshuizen, H.C. and Knook, D.L., 1999, Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine, 18, 681-694.
    • (1999) Statistics in Medicine , vol.18 , pp. 681-694
    • Van Buuren, S.1    Boshuizen, H.C.2    Knook, D.L.3
  • 22
    • 0038973680 scopus 로고    scopus 로고
    • A multiple imputation analysis of a case-control study of the risk of primary cardiac arrest among pharmacologically treated hypertensives
    • Raghunathan, T.E. and Siscovick, D.S., 1996, A multiple imputation analysis of a case-control study of the risk of primary cardiac arrest among pharmacologically treated hypertensives. Applied Statistics, 45, 335-352.
    • (1996) Applied Statistics , vol.45 , pp. 335-352
    • Raghunathan, T.E.1    Siscovick, D.S.2
  • 24
    • 0242605043 scopus 로고    scopus 로고
    • Multivariate imputation of coarsened survey data on household wealth
    • R.M. Groves et al. (Eds) (New York: Wiley)
    • Heeringa, S.G., Little, R.J.A. and Raghunathan, T.E., 2002, Multivariate imputation of coarsened survey data on household wealth. In: R.M. Groves et al. (Eds), Survey Nonresponse (New York: Wiley), pp. 357-371.
    • (2002) Survey Nonresponse , pp. 357-371
    • Heeringa, S.G.1    Little, R.J.A.2    Raghunathan, T.E.3
  • 25
    • 0036143380 scopus 로고    scopus 로고
    • Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses
    • Faris, P.D., Ghali, W.A., Brant, R., Norris, C.M., Galbraith, P.D. and Knudtson, M.L., 2002, Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses. Journal of Clinical Epidemiology, 55, 184-191.
    • (2002) Journal of Clinical Epidemiology , vol.55 , pp. 184-191
    • Faris, P.D.1    Ghali, W.A.2    Brant, R.3    Norris, C.M.4    Galbraith, P.D.5    Knudtson, M.L.6
  • 26
    • 23044525261 scopus 로고    scopus 로고
    • Multiple imputation in practice: Comparison of software packages for regression models with missing variables
    • Horton, N.J. and Lipsitz, S.R., 2001, Multiple imputation in practice: comparison of software packages for regression models with missing variables. American Statistician, 55, 244-254.
    • (2001) American Statistician , vol.55 , pp. 244-254
    • Horton, N.J.1    Lipsitz, S.R.2
  • 27
    • 0002344593 scopus 로고    scopus 로고
    • A multivariate technique for multiply imputing missing values using a sequence of regression models
    • Raghunathan, T.E., Lepkowski, J.M., van Hoewyk, J. and Solenberger, P., 2001, A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27, 85-95.
    • (2001) Survey Methodology , vol.27 , pp. 85-95
    • Raghunathan, T.E.1    Lepkowski, J.M.2    Van Hoewyk, J.3    Solenberger, P.4
  • 30
    • 0000583971 scopus 로고
    • On some sets of sufficient conditions leading to the normal bivariate distribution
    • Bhattacharryya, A., 1943, On some sets of sufficient conditions leading to the normal bivariate distribution. Sankhya, 6, 399-406.
    • (1943) Sankhya , vol.6 , pp. 399-406
    • Bhattacharryya, A.1
  • 31
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • with discussions
    • Besag, J., 1974, Spatial interaction and the statistical analysis of lattice systems (with discussions). Journal of the Royal Statistical Society, Series B, 36, 192-236.
    • (1974) Journal of the Royal Statistical Society, Series B , vol.36 , pp. 192-236
    • Besag, J.1
  • 33
    • 0001917942 scopus 로고
    • Space-time modeling with long-memory dependence: Assessing Ireland's wind power resource
    • Hasslet, J. and Raftery, A.E., 1989, Space-time modeling with long-memory dependence: assessing Ireland's wind power resource. Applied Statistics, 38, 1-50.
    • (1989) Applied Statistics , vol.38 , pp. 1-50
    • Hasslet, J.1    Raftery, A.E.2
  • 34
    • 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
  • 36
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • with discussion
    • Gelman, A. and Rubin, D.B., 1992, Inference from iterative simulation using multiple sequences (with discussion). Statistical Science, 7, 457-511.
    • (1992) Statistical Science , vol.7 , pp. 457-511
    • Gelman, A.1    Rubin, D.B.2
  • 37
    • 0001913059 scopus 로고
    • Multiple Imputation of industry and occupation codes in census public-use samples using Bayesian logistic regression
    • Clogg, C.C., Rubin, D.B., Schenker, N., Schultz, B. and Weidman, L., 1991, Multiple Imputation of industry and occupation codes in census public-use samples using Bayesian logistic regression. Journal of the American Statistical Association, 86 (413), 68-78.
    • (1991) Journal of the American Statistical Association , vol.86 , Issue.413 , pp. 68-78
    • Clogg, C.C.1    Rubin, D.B.2    Schenker, N.3    Schultz, B.4    Weidman, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.