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Volumn , Issue , 2008, Pages 395-408

Incomplete data: Introduction and overview

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EID: 79959356403     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (18)

References (49)
  • 1
    • 0029098494 scopus 로고
    • Marginal regression for repeated binary data with outcome subject to nonignorable non-response
    • Baker, S. G. (1995). Marginal regression for repeated binary data with outcome subject to nonignorable non-response. Biometrics 51, 1042–1052.
    • (1995) Biometrics , vol.51 , pp. 1042-1052
    • Baker, S.G.1
  • 2
    • 0442309561 scopus 로고    scopus 로고
    • A method-of-moments estimation procedure for categorical quality-of-life data with non-ignorable missingness
    • Bonetti, M., Cole, B. F., and Gelber, R. D. (1999). A method-of-moments estimation procedure for categorical quality-of-life data with non-ignorable missingness. Journal of the American Statistical Association 94, 1025–1034.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 1025-1034
    • Bonetti, M.1    Cole, B.F.2    Gelber, R.D.3
  • 4
    • 0028627762 scopus 로고
    • Modeling progression of CD4 lymphocyte count and its relationship to survival time
    • DeGruttola, V. and Tu, X. M. (1994). Modeling progression of CD4 lymphocyte count and its relationship to survival time. Biometrics 50, 1003–1014.
    • (1994) Biometrics , vol.50 , pp. 1003-1014
    • Degruttola, V.1    Tu, X.M.2
  • 6
    • 4243828610 scopus 로고
    • Informative dropout in longitudinal data analysis (With discussion)
    • Diggle, P. J. and Kenward, M. G. (1994). Informative dropout in longitudinal data analysis (with discussion). Applied Statistics 43, 49–93.
    • (1994) Applied Statistics , vol.43 , pp. 49-93
    • Diggle, P.J.1    Kenward, M.G.2
  • 7
    • 0041175330 scopus 로고    scopus 로고
    • The Muscatine children’s obesity data reanalysed using patternmixture models
    • Ekholm, A. and Skinner, C. (1998). The Muscatine children’s obesity data reanalysed using patternmixture models. Applied Statistics 47, 251–263.
    • (1998) Applied Statistics , vol.47 , pp. 251-263
    • Ekholm, A.1    Skinner, C.2
  • 8
    • 0001216089 scopus 로고    scopus 로고
    • Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies
    • Fitzmaurice, G. M. and Laird, N. M. (2000). Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies. Biostatistics 1, 141–156.
    • (2000) Biostatistics , vol.1 , pp. 141-156
    • Fitzmaurice, G.M.1    Laird, N.M.2
  • 11
    • 0029028456 scopus 로고
    • An approximate generalized linear model with random effects for informative missing data
    • Follmann, D. and Wu, M. (1995). An approximate generalized linear model with random effects for informative missing data. Biometrics, 51, 151–168.
    • (1995) Biometrics , vol.51 , pp. 151-168
    • Follmann, D.1    Wu, M.2
  • 12
    • 33748702682 scopus 로고    scopus 로고
    • On identifiability in models for incomplete binary data
    • Glonek, G. F. V. (1998). On identifiability in models for incomplete binary data. Statistics and Probability Letters 41, 191–197.
    • (1998) Statistics and Probability Letters , vol.41 , pp. 191-197
    • Glonek, G.F.V.1
  • 13
    • 0003129721 scopus 로고
    • Selection modelling versus mixture modelling with non-ignorable non-response
    • H. Wainer (ed.), New York: Springer
    • Glynn, R. J., Laird, N. M., and Rubin, D. B. (1986). Selection modelling versus mixture modelling with non-ignorable non-response. In H. Wainer (ed.), Drawing Inferences from Self-Selected Samples. New York: Springer.
    • (1986) Drawing Inferences from Self-Selected Samples
    • Glynn, R.J.1    Laird, N.M.2    Rubin, D.B.3
  • 14
    • 0001766028 scopus 로고
    • The common structure of statistical models of truncation, sample selection and limited dependent variables, and a simple estimator for such models
    • Heckman, J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables, and a simple estimator for such models. Annals of Economic Social Measurements 5, 475–492.
    • (1976) Annals of Economic Social Measurements , vol.5 , pp. 475-492
    • Heckman, J.1
  • 15
    • 0002105479 scopus 로고    scopus 로고
    • Application of random-effects pattern-mixture models for missing data in longitudinal studies
    • Hedeker, D. and Gibbons, R. D. (1997). Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychological Methods 2, 64–78.
    • (1997) Psychological Methods , vol.2 , pp. 64-78
    • Hedeker, D.1    Gibbons, R.D.2
  • 16
    • 0031032359 scopus 로고    scopus 로고
    • Mixture models for the joint distribution of repeated measures and event times
    • Hogan, J. W. and Laird, N. M. (1997). Mixture models for the joint distribution of repeated measures and event times. Statistics in Medicine 16, 239–258.
    • (1997) Statistics in Medicine , vol.16 , pp. 239-258
    • Hogan, J.W.1    Laird, N.M.2
  • 18
    • 0023716933 scopus 로고
    • Missing data in longitudinal studies
    • Laird, N. M. (1988). Missing data in longitudinal studies. Statistics in Medicine 7, 305–315.
    • (1988) Statistics in Medicine , vol.7 , pp. 305-315
    • Laird, N.M.1
  • 19
    • 0020333131 scopus 로고
    • Random effects models for longitudinal data
    • Laird, N. M. and Ware, J. H. (1982). Random effects models for longitudinal data. Biometrics 38, 963–974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 20
    • 77649173768 scopus 로고
    • Longitudinal data analysis using generalized linear models
    • Liang, K.-Y. and 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
  • 22
    • 77956890002 scopus 로고
    • A class of pattern-mixture models for normal incomplete data
    • Little, R. J. A. (1994). A class of pattern-mixture models for normal incomplete data. Biometrika 81, 471–483.
    • (1994) Biometrika , vol.81 , pp. 471-483
    • Little, R.J.A.1
  • 23
    • 84950452119 scopus 로고
    • Modeling the drop-out mechanism in repeated-measures studies
    • Little, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association 90, 1112–1121.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 1112-1121
    • Little, R.J.A.1
  • 25
    • 0029995115 scopus 로고    scopus 로고
    • Pattern-mixture models for multivariate incomplete data with covariates
    • Little, R. J. A. and Wang, Y. (1996). Pattern-mixture models for multivariate incomplete data with covariates. Biometrics 52, 98–111.
    • (1996) Biometrics , vol.52 , pp. 98-111
    • Little, R.J.A.1    Wang, Y.2
  • 27
    • 0035650307 scopus 로고    scopus 로고
    • Sensitivity analysis for incomplete contingency tables: The Slovenian plebiscite case
    • Molenberghs, G., Kenward, M. G., and Goetghebeur, E. (2001). Sensitivity analysis for incomplete contingency tables: The Slovenian plebiscite case. Applied Statistics 50, 15–29.
    • (2001) Applied Statistics , vol.50 , pp. 15-29
    • Molenberghs, G.1    Kenward, M.G.2    Goetghebeur, E.3
  • 28
    • 0001986642 scopus 로고    scopus 로고
    • The analysis of longitudinal ordinal data with nonrandom drop-out
    • Molenberghs, G., Kenward, M. G., and Lesaffre, E. (1997). The analysis of longitudinal ordinal data with nonrandom drop-out. Biometrika 84, 33–44.
    • (1997) Biometrika , vol.84 , pp. 33-44
    • Molenberghs, G.1    Kenward, M.G.2    Lesaffre, E.3
  • 30
    • 0026511322 scopus 로고
    • Application of empirical Bayes inference to estimation of rate of change in the presence of informative right censoring
    • Mori, M., Woodworth, G. G., and Woolson, R. F. (1992). Application of empirical Bayes inference to estimation of rate of change in the presence of informative right censoring. Statistics in Medicine 11, 621–631.
    • (1992) Statistics in Medicine , vol.11 , pp. 621-631
    • Mori, M.1    Woodworth, G.G.2    Woolson, R.F.3
  • 31
    • 84950953410 scopus 로고
    • Inference from nonrandomly missing categorical data: An example from a genetic study in Turner’s syndrome
    • Nordheim, E. V. (1984). Inference from nonrandomly missing categorical data: An example from a genetic study in Turner’s syndrome. Journal of the American Statistical Association 79, 772–780.
    • (1984) Journal of the American Statistical Association , vol.79 , pp. 772-780
    • Nordheim, E.V.1
  • 32
    • 0033571770 scopus 로고    scopus 로고
    • Simple pattern-mixture models for longitudinal data with missing observations: Analysis of urinary incontinence data
    • Park, T. and Lee, S. L. (1999). Simple pattern-mixture models for longitudinal data with missing observations: Analysis of urinary incontinence data. Statistics in Medicine 18, 2933–2941.
    • (1999) Statistics in Medicine , vol.18 , pp. 2933-2941
    • Park, T.1    Lee, S.L.2
  • 33
    • 84950421496 scopus 로고
    • Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
    • Robins, J. M., Rotnitzky, A., and Zhao, L. P. (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. Journal of the American Statistical Association 90, 106–121.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 106-121
    • Robins, J.M.1    Rotnitzky, A.2    Zhao, L.P.3
  • 34
    • 0001679041 scopus 로고
    • Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
    • Rosenbaum, P. R. and Rubin, D. B. (1983). Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. Journal of the Royal Statistical Society, Series B 45, 212–218.
    • (1983) Journal of the Royal Statistical Society, Series B , vol.45 , pp. 212-218
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 35
    • 0022033155 scopus 로고
    • The bias due to incomplete matching
    • Rosenbaum, P. R. and Rubin, D. B. (1985). The bias due to incomplete matching. Biometrics 41, 103–116.
    • (1985) Biometrics , vol.41 , pp. 103-116
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 36
    • 0031014354 scopus 로고    scopus 로고
    • Analysis of semi-parametric regression models with non-ignorable non-response
    • Rotnitzky, A. and Robins, J. M. (1997). Analysis of semi-parametric regression models with non-ignorable non-response. Statistics in Medicine 16, 81–102.
    • (1997) Statistics in Medicine , vol.16 , pp. 81-102
    • Rotnitzky, A.1    Robins, J.M.2
  • 37
    • 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
  • 38
    • 0001354633 scopus 로고
    • Formalizing subjective notions about the effect of nonrespondents in sample surveys
    • Rubin, D. B. (1977). Formalizing subjective notions about the effect of nonrespondents in sample surveys. Journal of the American Statistical Association 72, 538–543.
    • (1977) Journal of the American Statistical Association , vol.72 , pp. 538-543
    • Rubin, D.B.1
  • 39
    • 0442278084 scopus 로고    scopus 로고
    • Adjusting for non-ignorable drop-out using semiparametric non-response models (With discussion)
    • Scharfstein, D., Rotnitzky, A., and Robins, J. M. (1999). Adjusting for non-ignorable drop-out using semiparametric non-response models (with discussion). Journal of the American Statistical Association 94, 1096–1146.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 1096-1146
    • Scharfstein, D.1    Rotnitzky, A.2    Robins, J.M.3
  • 40
    • 0027092589 scopus 로고
    • Methods for the analysis of informatively censored longitudinal data
    • Schluchter, M. D. (1992). Methods for the analysis of informatively censored longitudinal data. Statistics in Medicine 11, 1861–1870.
    • (1992) Statistics in Medicine , vol.11 , pp. 1861-1870
    • Schluchter, M.D.1
  • 41
    • 0031944647 scopus 로고    scopus 로고
    • Mixed effects logistic regression models for longitudinal binary response data with informative drop-out
    • Ten Have, T. R., Kunselman, A. R., Pulkstenis, E. P., and Landis, J. R. (1998). Mixed effects logistic regression models for longitudinal binary response data with informative drop-out. Biometrics 54, 367–383.
    • (1998) Biometrics , vol.54 , pp. 367-383
    • Ten Have, T.R.1    Kunselman, A.R.2    Pulkstenis, E.P.3    Landis, J.R.4
  • 42
    • 0034018654 scopus 로고    scopus 로고
    • Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging
    • Ten Have, T. R., Miller, M. E., Reboussin, B. A., and James, M. K. (2000). Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging. Biometrics 56, 279–287.
    • (2000) Biometrics , vol.56 , pp. 279-287
    • Ten Have, T.R.1    Miller, M.E.2    Reboussin, B.A.3    James, M.K.4
  • 44
    • 21844506206 scopus 로고
    • Modeling the relationship of survival to longitudinal data measured with error: Applications to survival and CD4 counts in patients with AIDS
    • Tsiatis, A. A., DeGruttola, V., and Wulfsohn, M. S. (1995). Modeling the relationship of survival to longitudinal data measured with error: applications to survival and CD4 counts in patients with AIDS. Journal of the American Statistical Association 90, 27–37.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 27-37
    • Tsiatis, A.A.1    Degruttola, V.2    Wulfsohn, M.S.3
  • 45
    • 0029048659 scopus 로고
    • Logistic regression with incompletely observed categorical covariates: Investigating the sensitivity against violations of the missing at random assumption
    • Vach, W. and Blettner, M. (1995). Logistic regression with incompletely observed categorical covariates: Investigating the sensitivity against violations of the missing at random assumption. Statistics in Medicine 12, 1315–1330.
    • (1995) Statistics in Medicine , vol.12 , pp. 1315-1330
    • Vach, W.1    Blettner, M.2
  • 46
    • 0035102436 scopus 로고    scopus 로고
    • Sensitivity analysis for non-random dropout: A local influence approach
    • Verbeke, G., Molenberghs, G., Thijs, H., Lesaffre, E., and Kenward, M. G. (2001). Sensitivity analysis for non-random dropout: a local influence approach. Biometrics 57, 7–14.
    • (2001) Biometrics , vol.57 , pp. 7-14
    • Verbeke, G.1    Molenberghs, G.2    Thijs, H.3    Lesaffre, E.4    Kenward, M.G.5
  • 47
    • 0023779040 scopus 로고
    • Analyzing changes in the presence of informative right censoring caused by death and withdrawal
    • Wu, M. C. and Bailey, K. R. (1988). Analyzing changes in the presence of informative right censoring caused by death and withdrawal. Statistics in Medicine 7, 337–346.
    • (1988) Statistics in Medicine , vol.7 , pp. 337-346
    • Wu, M.C.1    Bailey, K.R.2
  • 48
    • 0024438062 scopus 로고
    • Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model
    • Wu, M. C. and Bailey, K. R. (1989). Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model. Biometrics 45, 939–955.
    • (1989) Biometrics , vol.45 , pp. 939-955
    • Wu, M.C.1    Bailey, K.R.2
  • 49
    • 0023921412 scopus 로고
    • Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process
    • Wu, M. C. and Carroll, R. J. (1988). Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process. Biometrics 44, 175–188.
    • (1988) Biometrics , vol.44 , pp. 175-188
    • Wu, M.C.1    Carroll, R.J.2


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