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Volumn 168, Issue 4, 2005, Pages 723-735

A protective estimator for longitudinal binary data subject to non-ignorable non-monotone missingness

Author keywords

Incomplete data; Maximum likelihood; Repeated measurements; Sensitivity analysis

Indexed keywords


EID: 26844454179     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2005.00374.x     Document Type: Article
Times cited : (9)

References (33)
  • 1
    • 0002881703 scopus 로고
    • A representation of the joint distribution of responses to n dichotomous items
    • (ed. H. Solomon). Stanford: Stanford University Press
    • Bahadur, R. R. (1961) A representation of the joint distribution of responses to n dichotomous items. In Studies in Item Analysis and Prediction (ed. H. Solomon), pp. 158-168. Stanford: Stanford University Press.
    • (1961) Studies in Item Analysis and Prediction , pp. 158-168
    • Bahadur, R.R.1
  • 2
    • 0029098494 scopus 로고
    • Marginal regression for repeated binary data with outcomes subject to nonignorable nonresponse
    • Baker, S. G. (1995) Marginal regression for repeated binary data with outcomes subject to nonignorable nonresponse. Biometrics, 51, 1042-1052.
    • (1995) Biometrics , vol.51 , pp. 1042-1052
    • Baker, S.G.1
  • 3
    • 0025071087 scopus 로고
    • Protecting against nonrandomly missing data in longitudinal studies
    • Brown, C. H. (1990) Protecting against nonrandomly missing data in longitudinal studies. Biometrics, 46, 143-155.
    • (1990) Biometrics , vol.46 , pp. 143-155
    • Brown, C.H.1
  • 4
    • 0041175330 scopus 로고    scopus 로고
    • The Muscatine children's obesity data reanalysed using pattern mixture models
    • Ekholm, A. and Skinner, C. (1998) The Muscatine children's obesity data reanalysed using pattern mixture models. Appl. Statist., 47, 251-263.
    • (1998) Appl. Statist. , vol.47 , pp. 251-263
    • Ekholm, A.1    Skinner, C.2
  • 6
    • 0042542717 scopus 로고    scopus 로고
    • Logistic regression models for binary panel data with attrition
    • Fitzmaurice, G. M., Heath, A. F. and Clifford, P. (1996) Logistic regression models for binary panel data with attrition. J. R. Statist. Soc: A, 159, 249-263.
    • (1996) J. R. Statist. Soc: A , vol.159 , pp. 249-263
    • Fitzmaurice, G.M.1    Heath, A.F.2    Clifford, P.3
  • 7
    • 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
  • 8
    • 0002972311 scopus 로고    scopus 로고
    • Multivariate logistic models for incomplete binary responses
    • Fitzmaurice, G. M., Laird, N. M. and Zahner, G. E. P. (1996) Multivariate logistic models for incomplete binary responses. J. Am. Statist. Ass., 91, 99-108.
    • (1996) J. Am. Statist. Ass. , vol.91 , pp. 99-108
    • Fitzmaurice, G.M.1    Laird, N.M.2    Zahner, G.E.P.3
  • 9
    • 0000369209 scopus 로고
    • Regression models for longitudinal binary responses with informative drop-outs
    • Fitzmaurice, G. M., Molenberghs, G. and Lipsitz, S. R. (1995) Regression models for longitudinal binary responses with informative drop-outs. J. R. Statist. Soc. B, 57, 691-704.
    • (1995) J. R. Statist. Soc. B , vol.57 , pp. 691-704
    • Fitzmaurice, G.M.1    Molenberghs, G.2    Lipsitz, S.R.3
  • 10
    • 0003129721 scopus 로고
    • Selection modelling versus mixture modelling with non-ignorable nonresponse
    • (ed. H. Wainer). New York: Springer
    • Glynn, R. J., Laird, N. M. and Rubin, D. B. (1986) Selection modelling versus mixture modelling with non-ignorable nonresponse. In Drawing Inferences from Self-selected Samples (ed. H. Wainer). New York: Springer.
    • (1986) Drawing Inferences from Self-selected Samples
    • Glynn, R.J.1    Laird, N.M.2    Rubin, D.B.3
  • 11
    • 0000821796 scopus 로고
    • Pseudo maximum likelihood estimation: Theory and applications
    • Gong, G. and Samaniego, F. (1981) Pseudo maximum likelihood estimation: theory and applications. Ann. Statist., 9, 861-869.
    • (1981) Ann. Statist. , vol.9 , pp. 861-869
    • Gong, G.1    Samaniego, F.2
  • 12
    • 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. Psychol. Meth., 2, 64-78.
    • (1997) Psychol. Meth. , vol.2 , pp. 64-78
    • Hedeker, D.1    Gibbons, R.D.2
  • 13
    • 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. Statist. Med., 16, 239-257.
    • (1997) Statist. Med. , vol.16 , pp. 239-257
    • Hogan, J.W.1    Laird, N.M.2
  • 15
    • 0032925431 scopus 로고    scopus 로고
    • Parametric models for incomplete continuous and categorical longitudinal data
    • Kenward, M. G. and Molenberghs, G. (1999) Parametric models for incomplete continuous and categorical longitudinal data. Statist. Meth. Med. Res., 8, 51-83.
    • (1999) Statist. Meth. Med. Res. , vol.8 , pp. 51-83
    • Kenward, M.G.1    Molenberghs, G.2
  • 16
    • 21144483152 scopus 로고
    • Pattern-mixture models for multivariate incomplete data
    • Little, R. J. A. (1993) Pattern-mixture models for multivariate incomplete data. J. Am. Statist. Ass., 88, 125-134.
    • (1993) J. Am. Statist. Ass. , vol.88 , pp. 125-134
    • Little, R.J.A.1
  • 17
    • 84950452119 scopus 로고
    • Modelling the drop-out mechanism in repeated-measures studies
    • Little, R. J. A. (1995) Modelling the drop-out mechanism in repeated-measures studies. J. Am. Statist. Ass., 90, 1112-1121.
    • (1995) J. Am. Statist. Ass. , vol.90 , pp. 1112-1121
    • Little, R.J.A.1
  • 19
    • 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
  • 20
    • 84950441064 scopus 로고
    • Marginal modelling of correlated ordinal data using a multivariate Plackett distribution
    • Molenberghs, G. and Lesaffre, E. (1994) Marginal modelling of correlated ordinal data using a multivariate Plackett distribution. J. Am. Statist. Ass., 89, 633-644.
    • (1994) J. Am. Statist. Ass. , vol.89 , pp. 633-644
    • Molenberghs, G.1    Lesaffre, E.2
  • 22
    • 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. J. Am. Statist. Ass., 79, 772-780.
    • (1984) J. Am. Statist. Ass. , vol.79 , pp. 772-780
    • Nordheim, E.V.1
  • 23
    • 33847095776 scopus 로고
    • A class of bivariate distributions
    • Plackett, R. L. (1965) A class of bivariate distributions. J. Am. Statist. Ass., 60, 516-522.
    • (1965) J. Am. Statist. Ass. , vol.60 , pp. 516-522
    • Plackett, R.L.1
  • 24
    • 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. J. R. Statist. Soc. B, 45, 212-218.
    • (1983) J. R. Statist. Soc. B , vol.45 , pp. 212-218
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 25
    • 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
  • 26
    • 0001354633 scopus 로고
    • Formalizing subjective notions about the effect of nonresponse in sample surveys
    • Rubin, D. B. (1977) Formalizing subjective notions about the effect of nonresponse in sample surveys. J. Am. Statist. Ass., 72, 538-543.
    • (1977) J. Am. Statist. Ass. , vol.72 , pp. 538-543
    • Rubin, D.B.1
  • 27
    • 0442278084 scopus 로고    scopus 로고
    • Adjusting for non-ignorable drop-out using semiparametric non-response models
    • Scharfstein, D., Rotnitzky, A. and Robins, J. M. (1999) Adjusting for non-ignorable drop-out using semiparametric non-response models (with discussion). J. Am. Statist. Ass., 94, 1096-1146.
    • (1999) J. Am. Statist. Ass. , vol.94 , pp. 1096-1146
    • Scharfstein, D.1    Rotnitzky, A.2    Robins, J.M.3
  • 28
    • 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
  • 29
    • 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. M. (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.M.4
  • 31
    • 0002644952 scopus 로고
    • Maximum likelihood estimation under misspecified models
    • White, H. (1982) Maximum likelihood estimation under misspecified models. Econometrica, 50, 1-26.
    • (1982) Econometrica , vol.50 , pp. 1-26
    • White, H.1
  • 32
    • 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. Statist. Med., 7, 337-346.
    • (1988) Statist. Med. , vol.7 , pp. 337-346
    • Wu, M.C.1    Bailey, K.R.2
  • 33
    • 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


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