Impact of Missing Data Due to Selective Dropouts in Cohort Studies and Clinical Trials
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[1] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[2] M D Schluchter,et al. Analysis of change in the presence of informative censoring: application to a longitudinal clinical trial of progressive renal disease , 2001, Statistics in medicine.
[3] S J Pocock,et al. Estimation and comparison of rates of change in longitudinal studies with informative drop-outs. , 1999, Statistics in medicine.
[4] J. Goedert,et al. Effects of age at seroconversion and baseline HIV RNA level on the loss of CD4+ cells among persons with hemophilia , 1998, AIDS.
[5] A. Hatzakis,et al. Determinants of progression of HIV infection in a Greek hemophilia cohort followed for up to 16 years after seroconversion. , 1998, Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association.
[6] C. Rizza,et al. Importance of age at infection with HIV-1 for survival and development of AIDS in UK haemophilia population , 1996, The Lancet.
[7] J. Singer,et al. Impact of missing data due to dropouts on estimates of the treatment effect in a randomized trial of antiretroviral therapy for HIV-infected individuals. Canadian HIV Trials Network A002 Study Group. , 1996, Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association.
[9] S C Choi,et al. Effect of non-random missing data mechanisms in clinical trials. , 1995, Statistics in medicine.
[10] P. Diggle. Analysis of Longitudinal Data , 1995 .
[11] S. Crawford,et al. A comparison of anlaytic methods for non-random missingness of outcome data. , 1995, Journal of clinical epidemiology.
[12] Roderick J. A. Little,et al. Modeling the Drop-Out Mechanism in Repeated-Measures Studies , 1995 .
[13] V. De Gruttola,et al. Modelling progression of CD4-lymphocyte count and its relationship to survival time. , 1994, Biometrics.
[14] Jeremy M. G. Taylor,et al. A Stochastic Model for Analysis of Longitudinal AIDS Data , 1994 .
[15] James J. Goedert,et al. Effect of age at seroconversion on the natural AIDS incubation distribution , 1994, AIDS.
[16] M. Kenward,et al. Informative Drop‐Out in Longitudinal Data Analysis , 1994 .
[17] J J Goedert,et al. HIV-1 infection incidence among persons with hemophilia in the United States and western Europe, 1978-1990. Multicenter Hemophilia Cohort Study. , 1994, Journal of acquired immune deficiency syndromes.
[18] M. Kenward,et al. Informative dropout in longitudinal data analysis (with discussion) , 1994 .
[19] C. Sabin,et al. Laboratory control values for CD4 and CD8 T lymphocytes. Implications for HIV‐1 diagnosis , 1992, Clinical and experimental immunology.
[20] A. Gelfand,et al. Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers , 1992 .
[21] M D Schluchter,et al. Methods for the analysis of informatively censored longitudinal data. , 1992, Statistics in medicine.
[22] R F Woolson,et al. Application of empirical Bayes inference to estimation of rate of change in the presence of informative right censoring. , 1992, Statistics in medicine.
[23] S J Pocock,et al. Repeated measures in clinical trials: analysis using mean summary statistics and its implications for design. , 1992, Statistics in medicine.
[24] J Elford,et al. More rapid progression to AIDS in older HIV-infected people: the role of CD4+ T-cell counts. , 1991, Journal of acquired immune deficiency syndromes.
[25] S W Lagakos,et al. Analyzing laboratory marker changes in AIDS clinical trials. , 1991, Journal of acquired immune deficiency syndromes.
[26] S Senn,et al. Analysis of serial measurements in medical research. , 1990, BMJ.
[27] J. Goedert,et al. A prospective study of human immunodeficiency virus type 1 infection and the development of AIDS in subjects with hemophilia. , 1989, The New England journal of medicine.
[28] Joan S. Chmiel,et al. Acquired immunodeficiency syndrome (AIDS)-free time after human immunodeficiency virus type 1 (HIV-1) seroconversion in homosexual men. Multicenter AIDS Cohort Study Group. , 1989, American journal of epidemiology.
[29] J. Wittes,et al. Surrogate endpoints in clinical trials: cardiovascular diseases. , 1989, Statistics in medicine.
[30] Raymond J. Carroll,et al. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process , 1988 .
[31] K. Bailey,et al. Analysing changes in the presence of informative right censoring caused by death and withdrawal. , 1988, Statistics in medicine.
[32] N M Laird,et al. Missing data in longitudinal studies. , 1988, Statistics in medicine.
[33] R. P. Falcão,et al. Age-associated changes of T lymphocyte subsets. , 1987, Diagnostic and clinical immunology.
[34] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.