-
1
-
-
0033858416
-
Modeling repeated count data subject to informative dropout
-
Albert P.S., Follmann D.A. Modeling repeated count data subject to informative dropout. Biometrics 2000, 56:667-677.
-
(2000)
Biometrics
, vol.56
, pp. 667-677
-
-
Albert, P.S.1
Follmann, D.A.2
-
2
-
-
85017468853
-
Shared-parameter models
-
Chapman & Hall, Boca Raton, FL, G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.)
-
Albert P.S., Follmann D.A. Shared-parameter models. Longitudinal data analysis 2009, 433-452. Chapman & Hall, Boca Raton, FL. G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.).
-
(2009)
Longitudinal data analysis
, pp. 433-452
-
-
Albert, P.S.1
Follmann, D.A.2
-
3
-
-
0036712328
-
A latent autoregressive model for longitudinal binary data subject to informative missingness
-
Albert P.S., Follmann D.A., Wang S.A., Suh E.B. A latent autoregressive model for longitudinal binary data subject to informative missingness. Biometrics 2002, 58:631-642.
-
(2002)
Biometrics
, vol.58
, pp. 631-642
-
-
Albert, P.S.1
Follmann, D.A.2
Wang, S.A.3
Suh, E.B.4
-
4
-
-
39849089597
-
A latent-class mixture model for incomplete longitudinal Gaussian data
-
Beunckens C., Molenberghs G., Verbeke G., Mallinckrodt C. A latent-class mixture model for incomplete longitudinal Gaussian data. Biometrics 2008, 64:96-105.
-
(2008)
Biometrics
, vol.64
, pp. 96-105
-
-
Beunckens, C.1
Molenberghs, G.2
Verbeke, G.3
Mallinckrodt, C.4
-
6
-
-
33745037252
-
A comparison of multiple imputation and doubly robust estimation for analyses with missing data
-
Carpenter J.R., Kenward M.G., Vansteelandt S. A comparison of multiple imputation and doubly robust estimation for analyses with missing data. Journal of the Royal Statistical Society, Series A 2006, 169:571-584.
-
(2006)
Journal of the Royal Statistical Society, Series A
, vol.169
, pp. 571-584
-
-
Carpenter, J.R.1
Kenward, M.G.2
Vansteelandt, S.3
-
7
-
-
48749115069
-
Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts
-
Dantan E., Proust-Lima C., Letenneur L., Jacqmin-Gadda H. Pattern mixture models and latent class models for the analysis of multivariate longitudinal data with informative dropouts. International Journal of Biostatistics 2008, 4:1-26.
-
(2008)
International Journal of Biostatistics
, vol.4
, pp. 1-26
-
-
Dantan, E.1
Proust-Lima, C.2
Letenneur, L.3
Jacqmin-Gadda, H.4
-
8
-
-
0042066687
-
On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out
-
Demirtas H., Schafer J.L. On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out. Statistics in Medicine 2003, 22:2553-2575.
-
(2003)
Statistics in Medicine
, vol.22
, pp. 2553-2575
-
-
Demirtas, H.1
Schafer, J.L.2
-
9
-
-
4243828610
-
Informative dropout in longitudinal data analysis
-
Diggle P., Kenward M.G. Informative dropout in longitudinal data analysis. Applied Statistics 1994, 43:49-94.
-
(1994)
Applied Statistics
, vol.43
, pp. 49-94
-
-
Diggle, P.1
Kenward, M.G.2
-
11
-
-
0029028456
-
An approximate generalized model with random effects for informative missing data
-
Follmann D., Wu M. An approximate generalized model with random effects for informative missing data. Biometrics 1995, 51:151-168.
-
(1995)
Biometrics
, vol.51
, pp. 151-168
-
-
Follmann, D.1
Wu, M.2
-
12
-
-
4644318168
-
Alternative methods for handling attrition: An illustration using data from the Fast Track evaluation
-
Foster E.M., Fang G.Y. Alternative methods for handling attrition: An illustration using data from the Fast Track evaluation. Evaluation Review 2004, 28:434-464.
-
(2004)
Evaluation Review
, vol.28
, pp. 434-464
-
-
Foster, E.M.1
Fang, G.Y.2
-
13
-
-
56549100516
-
Using latent growth models to evaluate longitudinal change
-
Information Age, Greenwood, CT, G.R. Hancock, R.O. Mueller (Eds.)
-
Hancock G.R., Lawrence F.R. Using latent growth models to evaluate longitudinal change. Structural equation modeling: A second course 2006, 171-196. Information Age, Greenwood, CT. G.R. Hancock, R.O. Mueller (Eds.).
-
(2006)
Structural equation modeling: A second course
, pp. 171-196
-
-
Hancock, G.R.1
Lawrence, F.R.2
-
14
-
-
0001766028
-
The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models
-
Heckman J.T. 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 1976, 5:475-492.
-
(1976)
Annals of Economic and Social Measurement
, vol.5
, pp. 475-492
-
-
Heckman, J.T.1
-
15
-
-
0000125534
-
Sample selection bias as a specification error
-
Heckman J.T. Sample selection bias as a specification error. Econometrica 1979, 47:153-161.
-
(1979)
Econometrica
, vol.47
, pp. 153-161
-
-
Heckman, J.T.1
-
16
-
-
0002105479
-
Application of random-effects pattern-mixture models for missing data in longitudinal studies
-
Hedeker D., Gibbons R.D. Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychological Methods 1997, 2:64-78.
-
(1997)
Psychological Methods
, vol.2
, pp. 64-78
-
-
Hedeker, D.1
Gibbons, R.D.2
-
18
-
-
0031032359
-
Mixture models for the joint distribution of repeated measures and event times
-
Hogan J.W., Laird N.M. Mixture models for the joint distribution of repeated measures and event times. Statistics in Medicine 1997, 16:239-257.
-
(1997)
Statistics in Medicine
, vol.16
, pp. 239-257
-
-
Hogan, J.W.1
Laird, N.M.2
-
20
-
-
25444484182
-
The nature of sensitivity in missing not at random models
-
Jansen I., Hens N., Molenberghs G., Aerts M., Verbeke G., Kenward M.G. The nature of sensitivity in missing not at random models. Computational Statistics and Data Analysis 2006, 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
-
21
-
-
0032534724
-
Selection models for repeated measurements with non-random dropout: An illustration of sensitivity
-
Kenward M.G. Selection models for repeated measurements with non-random dropout: An illustration of sensitivity. Statistics in Medicine 1998, 17:2723-2732.
-
(1998)
Statistics in Medicine
, vol.17
, pp. 2723-2732
-
-
Kenward, M.G.1
-
22
-
-
2942677478
-
Latent pattern mixture models for informative intermittent missing data in longitudinal studies
-
Lin H., McCulloch C.E., Rosenheck R.A. Latent pattern mixture models for informative intermittent missing data in longitudinal studies. Biometrics 2004, 60:295-305.
-
(2004)
Biometrics
, vol.60
, pp. 295-305
-
-
Lin, H.1
McCulloch, C.E.2
Rosenheck, R.A.3
-
23
-
-
84950452119
-
Modeling the drop-out mechanism in repeated-measures studies
-
Little R. Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association 1995, 90:1112-1121.
-
(1995)
Journal of the American Statistical Association
, vol.90
, pp. 1112-1121
-
-
Little, R.1
-
24
-
-
85057445352
-
Selection and pattern mixture models
-
Chapman & Hall, Boca Raton, FL, G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.)
-
Little R. Selection and pattern mixture models. Longitudinal data analysis 2009, 409-431. Chapman & Hall, Boca Raton, FL. G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.).
-
(2009)
Longitudinal data analysis
, pp. 409-431
-
-
Little, R.1
-
28
-
-
0037197628
-
Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out
-
Michiels B., Molenberghs G., Bijnens L., Vangeneugden T., Thijs H. Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out. Statistics in Medicine 2002, 21:1023-1041.
-
(2002)
Statistics in Medicine
, vol.21
, pp. 1023-1041
-
-
Michiels, B.1
Molenberghs, G.2
Bijnens, L.3
Vangeneugden, T.4
Thijs, H.5
-
30
-
-
0032397716
-
Monotone missing data and pattern-mixture models
-
Molenberghs G., Michiels B., Kenward M.G., Diggle P.J. Monotone missing data and pattern-mixture models. Statistica Neerlandica 1998, 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
-
31
-
-
85057497084
-
Sensitivity analysis for incomplete data
-
Chapman & Hall, Boca Raton, FL, G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.)
-
Molenberghs G., Verbeke G., Kenward M.G. Sensitivity analysis for incomplete data. Longitudinal data analysis 2009, 501-551. Chapman & Hall, Boca Raton, FL. G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.).
-
(2009)
Longitudinal data analysis
, pp. 501-551
-
-
Molenberghs, G.1
Verbeke, G.2
Kenward, M.G.3
-
32
-
-
84995346800
-
Growth mixture modeling: Analysis with non-Gaussian random effects
-
Chapman & Hall, Boca Raton, FL, G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.)
-
Muthén B., Asparouhov T. Growth mixture modeling: Analysis with non-Gaussian random effects. Longitudinal data analysis 2009, 144-165. Chapman & Hall, Boca Raton, FL. G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.).
-
(2009)
Longitudinal data analysis
, pp. 144-165
-
-
Muthén, B.1
Asparouhov, T.2
-
33
-
-
79952582418
-
Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial
-
Muthén B., Asparouhov T., Hunter A., Leuchter A. Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial. Psychological Methods 2011, 16.
-
(2011)
Psychological Methods
, pp. 16
-
-
Muthén, B.1
Asparouhov, T.2
Hunter, A.3
Leuchter, A.4
-
34
-
-
0001010853
-
On structural equation modeling with data that are not missing completely at random
-
Muthén B., Kaplan D., Hollis M. On structural equation modeling with data that are not missing completely at random. Psychometrika 1987, 52:431-462.
-
(1987)
Psychometrika
, vol.52
, pp. 431-462
-
-
Muthén, B.1
Kaplan, D.2
Hollis, M.3
-
36
-
-
0032969449
-
Finite mixture modeling with mixture outcomes using the EM algorithm
-
Muthén B., Shedden K. Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics 1999, 55:463-469.
-
(1999)
Biometrics
, vol.55
, pp. 463-469
-
-
Muthén, B.1
Shedden, K.2
-
40
-
-
84907508487
-
Inverse probability weighted methods
-
Chapman & Hall, Boca Raton, FL, G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.)
-
Rotnitzky A. Inverse probability weighted methods. Longitudinal data analysis 2009, 453-476. Chapman & Hall, Boca Raton, FL. G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs (Eds.).
-
(2009)
Longitudinal data analysis
, pp. 453-476
-
-
Rotnitzky, A.1
-
41
-
-
0346733311
-
Modeling longitudinal data with nonignorable dropout using a latent dropout class model
-
Roy J. Modeling longitudinal data with nonignorable dropout using a latent dropout class model. Biometrics 2003, 59:829-836.
-
(2003)
Biometrics
, vol.59
, pp. 829-836
-
-
Roy, J.1
-
42
-
-
43749111782
-
A general class of pattern mixture models for nonignorable dropout with many possible dropout times
-
Roy J., Daniels M.J. A general class of pattern mixture models for nonignorable dropout with many possible dropout times. Biometrics 2008, 64:538-545.
-
(2008)
Biometrics
, vol.64
, pp. 538-545
-
-
Roy, J.1
Daniels, M.J.2
-
43
-
-
0017133178
-
Inference and missing data
-
Rubin D.B. Inference and missing data. Biometrika 1976, 63:581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
45
-
-
28444485368
-
Multiple imputation in multivariate problems when the imputation and analysis models differ
-
Schafer J.L. Multiple imputation in multivariate problems when the imputation and analysis models differ. Statistica Neerlandica 2003, 57:19-35.
-
(2003)
Statistica Neerlandica
, vol.57
, pp. 19-35
-
-
Schafer, J.L.1
-
46
-
-
85047673373
-
Missing data: Our view of the state of the art
-
Schafer J.L., Graham J.W. Missing data: Our view of the state of the art. Psychological Methods 2002, 7:147-177.
-
(2002)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
49
-
-
0042487265
-
Strategies to fit pattern-mixture models
-
Thijs H., Molenberghs G., Michiels B., Curran D. Strategies to fit pattern-mixture models. Biostatistics 2002, 3:245-265.
-
(2002)
Biostatistics
, vol.3
, pp. 245-265
-
-
Thijs, H.1
Molenberghs, G.2
Michiels, B.3
Curran, D.4
-
50
-
-
0003526952
-
-
Springer-Verlag, New York, NY
-
Verbeke G., Molenberghs G., Kenward M.G. Linear mixed models for longitudinal data 2000, Springer-Verlag, New York, NY.
-
(2000)
Linear mixed models for longitudinal data
-
-
Verbeke, G.1
Molenberghs, G.2
Kenward, M.G.3
-
51
-
-
0024438062
-
Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model
-
Wu M.C., Bailey K.R. Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model. Biometrics 1989, 45:939-955.
-
(1989)
Biometrics
, vol.45
, pp. 939-955
-
-
Wu, M.C.1
Bailey, K.R.2
-
52
-
-
0023921412
-
Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process
-
Wu M.C., Carroll R.J. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process. Biometrics 1988, 44:175-188.
-
(1988)
Biometrics
, vol.44
, pp. 175-188
-
-
Wu, M.C.1
Carroll, R.J.2
-
53
-
-
63049121747
-
Mixed-effect hybrid models for longitudinal data with nonignorable dropout
-
Yuan Y., Little R.J.A. Mixed-effect hybrid models for longitudinal data with nonignorable dropout. Biometrics 2009, 65:478-486.
-
(2009)
Biometrics
, vol.65
, pp. 478-486
-
-
Yuan, Y.1
Little, R.J.A.2
|