Partial imputation approach to analysis of repeated measurements with dependent drop‐outs
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[1] A Heyting,et al. Statistical handling of drop-outs in longitudinal clinical trials. , 1992, Statistics in medicine.
[2] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[3] W J Shih,et al. Testing for treatment differences with dropouts present in clinical trials--a composite approach. , 1997, Statistics in medicine.
[4] M. Kenward,et al. Informative Drop‐Out in Longitudinal Data Analysis , 1994 .
[5] J. Robins,et al. Semiparametric regression estimation in the presence of dependent censoring , 1995 .
[6] R. Little,et al. Pattern-mixture models for multivariate incomplete data with covariates. , 1996, Biometrics.
[7] N M Laird,et al. Mixture models for the joint distribution of repeated measures and event times. , 1997, Statistics in medicine.
[8] R. Jennrich,et al. Unbalanced repeated-measures models with structured covariance matrices. , 1986, Biometrics.
[9] Raymond J. Carroll,et al. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process , 1988 .
[10] Joseph W. Hogan,et al. Analysis of incomplete repeated measurements with dependent censoring times , 1998 .
[11] H. Quan,et al. Stratified testing for treatment effects with missing data. , 1998, Biometrics.
[12] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[13] A B Troxel,et al. Weighted estimating equations with nonignorably missing response data. , 1997, Biometrics.
[14] W J Shih,et al. On informative and random dropouts in longitudinal studies. , 1992, Biometrics.
[15] Lee-Jen Wei,et al. Rank estimation of treatment differences based on repeated measurements subject to dependent censoring , 1999 .
[16] P W Lavori,et al. Clinical trials in psychiatry: should protocol deviation censor patient data? , 1992, Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology.
[17] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.