-
1
-
-
84936025682
-
Estimation of linear models with incomplete data
-
Allison, P. D. (1987). Estimation of linear models with incomplete data. Sociology Methodology 17, 71–103.
-
(1987)
Sociology Methodology
, vol.17
, pp. 71-103
-
-
Allison, P.D.1
-
2
-
-
0001885521
-
Regression analysis for categorical variables with outcome subject to non-ignorable non-response
-
Baker, S. G. and Laird, N. M. (1988). Regression analysis for categorical variables with outcome subject to non-ignorable non-response. Journal of the American Statistical Association 83, 62–69.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 62-69
-
-
Baker, S.G.1
Laird, N.M.2
-
3
-
-
0026550210
-
Closed-form estimates for missing counts in two-way contingency tables
-
Baker, S. G., Rosenberger, W. F., and DerSimonian, R. (1992). Closed-form estimates for missing counts in two-way contingency tables. Statistics in Medicine 11, 643–657.
-
(1992)
Statistics in Medicine
, vol.11
, pp. 643-657
-
-
Baker, S.G.1
Rosenberger, W.F.2
Dersimonian, R.3
-
4
-
-
63849168870
-
A latent-class mixture model for incomplete longitudinal Gaussian data
-
To appear
-
Beunckens, C., Molenberghs, G., Verbeke, G., and Mallinckrodt, C. (2007). A latent-class mixture model for incomplete longitudinal Gaussian data. Biometrics. To appear.
-
(2007)
Biometrics
-
-
Beunckens, C.1
Molenberghs, G.2
Verbeke, G.3
Mallinckrodt, C.4
-
5
-
-
0000416816
-
Detecting parameter redundancy
-
Catchpole, E. A. and Morgan, B. J. T. (1997). Detecting parameter redundancy. Biometrika 84, 187–196.
-
(1997)
Biometrika
, vol.84
, pp. 187-196
-
-
Catchpole, E.A.1
Morgan, B.J.T.2
-
6
-
-
0001178861
-
Estimation in parameter-redundant models
-
Catchpole, E. A., Morgan, B. J. T., and Freeman, S. N. (1998). Estimation in parameter-redundant models. Biometrika 85, 462–468.
-
(1998)
Biometrika
, vol.85
, pp. 462-468
-
-
Catchpole, E.A.1
Morgan, B.J.T.2
Freeman, S.N.3
-
11
-
-
4243828610
-
Informative drop-out in longitudinal data analysis (With discussion)
-
Diggle, P. J. and Kenward, M. G. (1994). Informative drop-out 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
-
12
-
-
0002276308
-
Assessment and propagation of model uncertainty (With discussion)
-
Draper, D. (1995). Assessment and propagation of model uncertainty (with discussion). Journal of the Royal Statistical Society, Series B 57, 45–97.
-
(1995)
Journal of the Royal Statistical Society, Series B
, vol.57
, pp. 45-97
-
-
Draper, D.1
-
13
-
-
0041175330
-
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. Applied Statistics 47, 251–263.
-
(1998)
Applied Statistics
, vol.47
, pp. 251-263
-
-
Ekholm, A.1
Skinner, C.2
-
14
-
-
0000369209
-
Regression models for longitudinal binary responses with informative dropouts
-
Fitzmaurice, G. M., Molenberghs, G., and Lipsitz, S. R. (1995). Regression models for longitudinal binary responses with informative dropouts. Journal of the Royal Statistical Society, Series B 57, 691–704.
-
(1995)
Journal of the Royal Statistical Society, Series B
, vol.57
, pp. 691-704
-
-
Fitzmaurice, G.M.1
Molenberghs, G.2
Lipsitz, S.R.3
-
15
-
-
0029028456
-
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
-
16
-
-
0002337950
-
Model-based inference for categorical survey data subject to non-ignorable non-response
-
Foster, J. J. and Smith, P. W. F. (1998). Model-based inference for categorical survey data subject to non-ignorable non-response. Journal of the Royal Statistical Society, Series B 60, 57–70.
-
(1998)
Journal of the Royal Statistical Society, Series B
, vol.60
, pp. 57-70
-
-
Foster, J.J.1
Smith, P.W.F.2
-
17
-
-
15044358532
-
Multiple imputation for model checking: Completed-data plots with missing and latent data
-
Gelman, A., Van Mechelen, I., Verbeke, G., Heitjan, D. F., and Meulders, M. (2005). Multiple imputation for model checking: Completed-data plots with missing and latent data. Biometrics 61, 74–85.
-
(2005)
Biometrics
, vol.61
, pp. 74-85
-
-
Gelman, A.1
Van Mechelen, I.2
Verbeke, G.3
Heitjan, D.F.4
Meulders, M.5
-
18
-
-
0003129721
-
Selection modelling versus mixture modelling with non-ignorable nonresponse
-
H. Wainer (ed.), New York: Springer-Verlag
-
Glynn, R. J., Laird, N. M., and Rubin, D. B. (1986). Selection modelling versus mixture modelling with non-ignorable nonresponse. In H. Wainer (ed.), Drawing Inferences from Self Selected Samples, pp. 115–142. New York: Springer-Verlag.
-
(1986)
Drawing Inferences from Self Selected Samples
, pp. 115-142
-
-
Glynn, R.J.1
Laird, N.M.2
Rubin, D.B.3
-
19
-
-
0001766028
-
The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models
-
Heckman, J. 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 and Social Measurement 5, 475–492.
-
(1976)
Annals of Economic and Social Measurement
, vol.5
, pp. 475-492
-
-
Heckman, J.J.1
-
20
-
-
0002105479
-
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
-
21
-
-
0031032359
-
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
-
22
-
-
0033566769
-
Statistical principles for clinical trials: ICH Harmonised Tripartite Guideline
-
International Conference on Harmonisation E9 Expert Working Group
-
International Conference on Harmonisation E9 Expert Working Group (1999). Statistical principles for clinical trials: ICH Harmonised Tripartite Guideline. Statistics in Medicine 18, 1905–1942.
-
(1999)
Statistics in Medicine
, vol.18
, pp. 1905-1942
-
-
-
23
-
-
33745819063
-
Analyzing incomplete discrete longitudinal clinical trial data
-
Jansen, I., Beunckens, C., Molenberghs, G., Verbeke, G., and Mallinckrodt, C. (2006a). Analyzing incomplete discrete longitudinal clinical trial data. Statistical Science 21, 52–69.
-
(2006)
Statistical Science
, vol.21
, pp. 52-69
-
-
Jansen, I.1
Beunckens, C.2
Molenberghs, G.3
Verbeke, G.4
Mallinckrodt, C.5
-
24
-
-
25444484182
-
The nature of sensitivity in missing not at random models
-
Jansen, I., Hens, N., Molenberghs, G., Aerts, M., Verbeke, G., and Kenward, M. G. (2006b). The nature of sensitivity in missing not at random models. Computational Statistics and Data Analysis 50, 830–858.
-
(2006)
Computational Statistics and Data Analysis
, vol.50
, pp. 830-858
-
-
Jansen, I.1
Hens, N.2
Molenberghs, G.3
Aerts, M.4
Verbeke, G.5
Kenward, M.G.6
-
25
-
-
0022966316
-
Unbalanced repeated measures models with structured covariance matrices
-
Jennrich, R. I. and Schluchter, M. D. (1986). Unbalanced repeated measures models with structured covariance matrices. Biometrics 42, 805–820.
-
(1986)
Biometrics
, vol.42
, pp. 805-820
-
-
Jennrich, R.I.1
Schluchter, M.D.2
-
26
-
-
0032534724
-
Selection models for repeated measurements with nonrandom dropout: An illustration of sensitivity
-
Kenward, M. G. (1998). Selection models for repeated measurements with nonrandom dropout: An illustration of sensitivity. Statistics in Medicine 17, 2723–2732.
-
(1998)
Statistics in Medicine
, vol.17
, pp. 2723-2732
-
-
Kenward, M.G.1
-
27
-
-
84993783243
-
Sensitivity analysis of incomplete categorical data
-
Kenward, M. G., Goetghebeur, E. J. T., and Molenberghs, G. (2001). Sensitivity analysis of incomplete categorical data. Statistical Modelling 1, 31–48.
-
(2001)
Statistical Modelling
, vol.1
, pp. 31-48
-
-
Kenward, M.G.1
Goetghebeur, E.J.T.2
Molenberghs, G.3
-
28
-
-
0032925431
-
Parametric models for incomplete continuous and categorical longitudinal studies data
-
Kenward, M. G. and Molenberghs, G. (1999) Parametric models for incomplete continuous and categorical longitudinal studies data. Statistical Methods in Medical Research 8, 51–83.
-
(1999)
Statistical Methods in Medical Research
, vol.8
, pp. 51-83
-
-
Kenward, M.G.1
Molenberghs, G.2
-
29
-
-
1542341537
-
Pattern-mixture models with proper time dependence
-
Kenward, M.G., Molenberghs, G., and Thijs, H. (2003). Pattern-mixture models with proper time dependence. Biometrika 90, 53–71.
-
(2003)
Biometrika
, vol.90
, pp. 53-71
-
-
Kenward, M.G.1
Molenberghs, G.2
Thijs, H.3
-
30
-
-
0002373852
-
Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward
-
Laird, N. M. (1994). Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward. Applied Statistics 43, 84.
-
(1994)
Applied Statistics
, vol.43
, pp. 84
-
-
Laird, N.M.1
-
31
-
-
0031744665
-
Local influence in linear mixed models
-
Lesaffre, E. and Verbeke, G. (1998). Local influence in linear mixed models. Biometrics 54, 570–582.
-
(1998)
Biometrics
, vol.54
, pp. 570-582
-
-
Lesaffre, E.1
Verbeke, G.2
-
33
-
-
77956890002
-
A class of pattern-mixture models for normal incomplete data
-
Little, R. J. A. (1994a). 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
-
34
-
-
0002373855
-
Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward
-
Little, R. J. A. (1994b). Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward. Applied Statistics 43, 78.
-
(1994)
Applied Statistics
, vol.43
, pp. 78
-
-
Little, R.J.A.1
-
35
-
-
84950452119
-
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
-
37
-
-
0029995115
-
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
-
38
-
-
0030460385
-
Intent-to-treat analysis for longitudinal studies with drop-outs
-
Little, R. J. A. and Yau, L. (1996). Intent-to-treat analysis for longitudinal studies with drop-outs. Biometrics 52, 1324–1333.
-
(1996)
Biometrics
, vol.52
, pp. 1324-1333
-
-
Little, R.J.A.1
Yau, L.2
-
39
-
-
0026497615
-
Modeling incomplete longitudinal and cross-sectional data using latent growth structural models
-
McArdle, J. J. and Hamagami, F. (1992). Modeling incomplete longitudinal and cross-sectional data using latent growth structural models. Experimental Aging Research 18, 145–166.
-
(1992)
Experimental Aging Research
, vol.18
, pp. 145-166
-
-
McArdle, J.J.1
Hamagami, F.2
-
40
-
-
0032885858
-
Selection models and pattern-mixture models for incomplete categorical data with covariates
-
Michiels, B., Molenberghs, G., and Lipsitz, S. R. (1999). Selection models and pattern-mixture models for incomplete categorical data with covariates. Biometrics 55, 978–983.
-
(1999)
Biometrics
, vol.55
, pp. 978-983
-
-
Michiels, B.1
Molenberghs, G.2
Lipsitz, S.R.3
-
41
-
-
0037197628
-
Selection models and pattern-mixture models to analyze longitudinal quality of life data subject to dropout
-
Michiels, B., Molenberghs, G., Bijnens, L., and Vangeneugden, T. (2002). Selection models and pattern-mixture models to analyze longitudinal quality of life data subject to dropout. Statistics in Medicine 21, 1023–1041.
-
(2002)
Statistics in Medicine
, vol.21
, pp. 1023-1041
-
-
Michiels, B.1
Molenberghs, G.2
Bijnens, L.3
Vangeneugden, T.4
-
43
-
-
0035650307
-
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
-
44
-
-
0001986642
-
The analysis of longitudinal ordinal data with non-random dropout
-
Molenberghs, G., Kenward, M. G., and Lesaffre, E. (1997). The analysis of longitudinal ordinal data with non-random dropout. Biometrika 84, 33–44.
-
(1997)
Biometrika
, vol.84
, pp. 33-44
-
-
Molenberghs, G.1
Kenward, M.G.2
Lesaffre, E.3
-
45
-
-
0032353609
-
Pseudo-likelihood for combined selection and pattern-mixture models for missing data problems
-
Molenberghs, G., Michiels, B., and Kenward, M. G. (1998). Pseudo-likelihood for combined selection and pattern-mixture models for missing data problems. Biometrical Journal 40, 557–572.
-
(1998)
Biometrical Journal
, vol.40
, pp. 557-572
-
-
Molenberghs, G.1
Michiels, B.2
Kenward, M.G.3
-
47
-
-
0032397716
-
Missing data mechanisms and pattern-mixture models
-
Molenberghs, G., Michiels, B., Kenward, M. G., and Diggle, P. J. (1998). Missing data mechanisms and pattern-mixture models. Statistica Neerlandica 52, 153–161.
-
(1998)
Statistica Neerlandica
, vol.52
, pp. 153-161
-
-
Molenberghs, G.1
Michiels, B.2
Kenward, M.G.3
Diggle, P.J.4
-
48
-
-
0033450529
-
Non-random missingness in categorical data: Strengths and limitations
-
Molenberghs, G., Goetghebeur, E. J. T., Lipsitz, S. R., and Kenward, M. G. (1999). Non-random missingness in categorical data: strengths and limitations. American Statistician 53, 110–118.
-
(1999)
American Statistician
, vol.53
, pp. 110-118
-
-
Molenberghs, G.1
Goetghebeur, E.J.T.2
Lipsitz, S.R.3
Kenward, M.G.4
-
49
-
-
0035963906
-
Mastitis in dairy cattle: Influence analysis to assess sensitivity of the dropout process
-
Molenberghs, G., Verbeke, G., Thijs, H., Lesaffre, E., and Kenward, M. G. (2001). Mastitis in dairy cattle: Influence analysis to assess sensitivity of the dropout process. Computational Statistics and Data Analysis 37, 93–113.
-
(2001)
Computational Statistics and Data Analysis
, vol.37
, pp. 93-113
-
-
Molenberghs, G.1
Verbeke, G.2
Thijs, H.3
Lesaffre, E.4
Kenward, M.G.5
-
50
-
-
10644222277
-
Analyzing incomplete longitudinal clinical trial data
-
Molenberghs, G., Thijs, H., Jansen, I., Beunckens, C., Kenward, M. G., Mallinckrodt, C., and Carroll, R. J. (2004). Analyzing incomplete longitudinal clinical trial data. Biostatistics 5, 445–464.
-
(2004)
Biostatistics
, vol.5
, pp. 445-464
-
-
Molenberghs, G.1
Thijs, H.2
Jansen, I.3
Beunckens, C.4
Kenward, M.G.5
Mallinckrodt, C.6
Carroll, R.J.7
-
51
-
-
80051745626
-
Every missing not at random model has got a missing at random counterpart with equal fit
-
To appear
-
Molenberghs, G., Beunckens, C., Sotto, C., and Kenward, M. G. (2007). Every missing not at random model has got a missing at random counterpart with equal fit. Journal of the Royal Statistical Society, Series B. To appear.
-
(2007)
Journal of the Royal Statistical Society, Series B
-
-
Molenberghs, G.1
Beunckens, C.2
Sotto, C.3
Kenward, M.G.4
-
52
-
-
0001010853
-
On structural equation modeling with data that are not missing completely at random
-
Muthén, B., Kaplan, D., and Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika 52, 431–462.
-
(1987)
Psychometrika
, vol.52
, pp. 431-462
-
-
Muthén, B.1
Kaplan, D.2
Hollis, M.3
-
53
-
-
84950953410
-
Inference from nonrandomly missing categorical data: An example from a genetic study on Turner’s syndrome
-
Nordheim, E. V. (1984). Inference from nonrandomly missing categorical data: An example from a genetic study on 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
-
54
-
-
0000661332
-
A generalized multivariate analysis of variance model useful especially for growth curve problems
-
Potthoff, R. F. and Roy, S. N. (1964). A generalized multivariate analysis of variance model useful especially for growth curve problems. Biometrika 51, 313–326.
-
(1964)
Biometrika
, vol.51
, pp. 313-326
-
-
Potthoff, R.F.1
Roy, S.N.2
-
56
-
-
85054614917
-
Shared parameter models under randomeffects misspecification
-
Rizopoulos D., Verbeke G., and Molenberghs G. (2008). Shared parameter models under randomeffects misspecification. Biometrika 94, 94–95.
-
(2008)
Biometrika
, vol.94
, pp. 94-95
-
-
Rizopoulos, D.1
Verbeke, G.2
Molenberghs, G.3
-
57
-
-
21844487694
-
Semiparametric efficiency in multivariate regression models with missing data
-
Robins, J. M. and Rotnitzky, A. (1995). Semiparametric efficiency in multivariate regression models with missing data. Journal of the American Statistical Association 90, 122–129.
-
(1995)
Journal of the American Statistical Association
, vol.90
, pp. 122-129
-
-
Robins, J.M.1
Rotnitzky, A.2
-
58
-
-
0032264836
-
Semiparametric regression for repeated outcomes with non-ignorable non-response
-
Robins, J. M., Rotnitzky, A., and Scharfstein, D. O. (1998). Semiparametric regression for repeated outcomes with non-ignorable non-response. Journal of the American Statistical Association 93, 1321–1339.
-
(1998)
Journal of the American Statistical Association
, vol.93
, pp. 1321-1339
-
-
Robins, J.M.1
Rotnitzky, A.2
Scharfstein, D.O.3
-
59
-
-
0002121637
-
Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models
-
M. E. Halloran and D. A. Berry (eds.), New York: Springer
-
Robins, J. M., Rotnitzky, A., and Scharfstein, D. O. (2000). Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In M. E. Halloran and D. A. Berry (eds.), Statistical Models in Epidemiology, the Environment, and Clinical Trials, pp. 1–94. New York: Springer.
-
(2000)
Statistical Models in Epidemiology, the Environment, and Clinical Trials
, pp. 1-94
-
-
Robins, J.M.1
Rotnitzky, A.2
Scharfstein, D.O.3
-
60
-
-
84888862680
-
Estimation of regression coefficients when some regressors are not always observed
-
Robins, J. M., Rotnitzky, A., and Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association 89, 846–866.
-
(1994)
Journal of the American Statistical Association
, vol.89
, pp. 846-866
-
-
Robins, J.M.1
Rotnitzky, A.2
Zhao, L.P.3
-
61
-
-
0035102566
-
Methods for conducting sensitivity analysis of trials with potentially nonignorable competing causes of censoring
-
Rotnitzky, A., Scharfstein, D., Su, T. L., and Robins, J. M. (2001). Methods for conducting sensitivity analysis of trials with potentially nonignorable competing causes of censoring. Biometrics 57, 103–113.
-
(2001)
Biometrics
, vol.57
, pp. 103-113
-
-
Rotnitzky, A.1
Scharfstein, D.2
Su, T.L.3
Robins, J.M.4
-
62
-
-
0017133178
-
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
-
64
-
-
0002373853
-
Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward
-
Rubin, D. B. (1994). Discussion of “Informative dropout in longitudinal data analysis,” by P. J. Diggle and M. G. Kenward. Applied Statistics 43, 80–82.
-
(1994)
Applied Statistics
, vol.43
, pp. 80-82
-
-
Rubin, D.B.1
-
66
-
-
0442278084
-
Adjusting for nonignorable drop-out using semiparametric nonresponse models (With discussion)
-
Scharfstein, D. O., Rotnitzky, A., and Robins, J. M. (1999). Adjusting for nonignorable drop-out using semiparametric nonresponse 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.O.1
Rotnitzky, A.2
Robins, J.M.3
-
67
-
-
0034557672
-
The milk protein trial: Influence analysis of the dropout process
-
Thijs, H., Molenberghs, G., and Verbeke, G. (2000). The milk protein trial: Influence analysis of the dropout process. Biometrical Journal 42, 617–646.
-
(2000)
Biometrical Journal
, vol.42
, pp. 617-646
-
-
Thijs, H.1
Molenberghs, G.2
Verbeke, G.3
-
68
-
-
0042487265
-
Strategies to fit pattern-mixture models
-
Thijs, H., Molenberghs, G., Michiels, B., Verbeke, G., and Curran, D. (2002). Strategies to fit pattern-mixture models. Biostatistics 3, 245–265.
-
(2002)
Biostatistics
, vol.3
, pp. 245-265
-
-
Thijs, H.1
Molenberghs, G.2
Michiels, B.3
Verbeke, G.4
Curran, D.5
-
69
-
-
0039982650
-
Analysis of longitudinal data with non-ignorable non-monotone missing values
-
Troxel, A. B., Harrington, D. P., and Lipsitz, S. R. (1998). Analysis of longitudinal data with non-ignorable non-monotone missing values. Applied Statistics 47, 425–438.
-
(1998)
Applied Statistics
, vol.47
, pp. 425-438
-
-
Troxel, A.B.1
Harrington, D.P.2
Lipsitz, S.R.3
-
72
-
-
0029048659
-
Logistic regression with incompletely observed categorical covariates — Investigating the sensitivity against violation of the missing at random assumption
-
Vach, W. and Blettner, M. (1995). Logistic regression with incompletely observed categorical covariates — Investigating the sensitivity against violation 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
-
73
-
-
33750348204
-
Ignorance and uncertainty regions as inferential tools in a sensitivity analysis
-
Vansteelandt, S., Goetghebeur, E., Kenward, M. G., and Molenberghs, G. (2006). Ignorance and uncertainty regions as inferential tools in a sensitivity analysis. Statistica Sinica 16, 953–979.
-
(2006)
Statistica Sinica
, vol.16
, pp. 953-979
-
-
Vansteelandt, S.1
Goetghebeur, E.2
Kenward, M.G.3
Molenberghs, G.4
-
74
-
-
84993767980
-
A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data
-
Van Steen, K., Molenberghs, G., Verbeke, G., and Thijs, H. (2001). A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data. Statistical Modelling 1, 125–142.
-
(2001)
Statistical Modelling
, vol.1
, pp. 125-142
-
-
Van Steen, K.1
Molenberghs, G.2
Verbeke, G.3
Thijs, H.4
-
75
-
-
0034994805
-
The practical use of different strategies to handle dropout in longitudinal studies
-
Verbeke, G., Lesaffre, E., and Spiessens, B. (2001). The practical use of different strategies to handle dropout in longitudinal studies. Drug Information Journal 35, 419–434.
-
(2001)
Drug Information Journal
, vol.35
, pp. 419-434
-
-
Verbeke, G.1
Lesaffre, E.2
Spiessens, B.3
-
76
-
-
0003526944
-
Linear Mixed Models in Practice: A SAS-Oriented Approach
-
New York: Springer
-
Verbeke, G. and Molenberghs, G. (1997). Linear Mixed Models in Practice: A SAS-Oriented Approach, Lecture Notes in Statistics 126. New York: Springer.
-
(1997)
Lecture Notes in Statistics
, pp. 126
-
-
Verbeke, G.1
Molenberghs, G.2
-
78
-
-
0035102436
-
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
-
79
-
-
0032520229
-
Clinical trials comparing two treatment arm policies: Which aspects of the treatment policies make a difference?
-
White, I. R. and Goetghebeur, E. J. T. (1998). Clinical trials comparing two treatment arm policies: Which aspects of the treatment policies make a difference? Statistics in Medicine 17, 319–340.
-
(1998)
Statistics in Medicine
, vol.17
, pp. 319-340
-
-
White, I.R.1
Goetghebeur, E.J.T.2
-
80
-
-
0023779040
-
Analysing changes in the presence of informative right censoring caused by death and withdrawal
-
Wu, M. C. and Bailey, K. R. (1988). Analysing 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
-
81
-
-
0024438062
-
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
-
82
-
-
0023921412
-
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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