-
1
-
-
0033475053
-
Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
-
Booth, J. G., and Hobert, J. P. (1999), "Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm," Journal of the Royal Statistical Society, Ser. B, 61, 265-285.
-
(1999)
Journal of the Royal Statistical Society, Ser. B
, vol.61
, pp. 265-285
-
-
Booth, J.G.1
Hobert, J.P.2
-
2
-
-
21844487061
-
Monte Carlo EM estimation for time series models involving counts
-
Chan, K. S., and Ledolter, J. (1995), "Monte Carlo EM Estimation for Time Series Models Involving Counts," Journal of the American Statistical Association, 90, 242-252.
-
(1995)
Journal of the American Statistical Association
, vol.90
, pp. 242-252
-
-
Chan, K.S.1
Ledolter, J.2
-
3
-
-
1542532491
-
Proportional hazards regression with missing covariates
-
Chen, H. Y., and Little, R. J. (1999), "Proportional Hazards Regression With Missing Covariates," Journal of the American Statistical Association, 94, 896-908.
-
(1999)
Journal of the American Statistical Association
, vol.94
, pp. 896-908
-
-
Chen, H.Y.1
Little, R.J.2
-
5
-
-
0002629270
-
Maximum likelihood estimation from incomplete data via the EM algorithm
-
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), "Maximum Likelihood Estimation From Incomplete Data via the EM Algorithm," Journal of the Royal Statistical Society, Ser. B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Ser. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
6
-
-
84950453304
-
Sampling-based approaches to calculating marginal densities
-
Gelfand, A. E., and Smith, A. F. M. (1990), "Sampling-Based Approaches to Calculating Marginal Densities," Journal of the American Statistical Association, 85, 398-409.
-
(1990)
Journal of the American Statistical Association
, vol.85
, pp. 398-409
-
-
Gelfand, A.E.1
Smith, A.F.M.2
-
8
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
Gilks, W. R., and Wild, P. (1992), "Adaptive Rejection Sampling for Gibbs Sampling," Applied Statistics, 41, 337-348.
-
(1992)
Applied Statistics
, vol.41
, pp. 337-348
-
-
Gilks, W.R.1
Wild, P.2
-
9
-
-
0037507563
-
Missing responses in generalized linear mixed models when the missing data mechanism is nonignorable
-
Ibrahim, J. G., Chen, M. H., and Lipsitz, S. R. (2001), "Missing Responses in Generalized Linear Mixed Models When the Missing Data Mechanism Is Nonignorable," Biometrika, 88, 551-564.
-
(2001)
Biometrika
, vol.88
, pp. 551-564
-
-
Ibrahim, J.G.1
Chen, M.H.2
Lipsitz, S.R.3
-
10
-
-
0033474233
-
Missing covariates in generalized linear models when the missing data mechanism is nonignorable
-
Ibrahim, J. G., Lipsitz, S. R., and Chen, M. H. (1999), "Missing Covariates in Generalized Linear Models When the Missing Data Mechanism Is Nonignorable," Journal of the Royal Statistical Society, Ser. B, 61, 173-190.
-
(1999)
Journal of the Royal Statistical Society, Ser. B
, vol.61
, pp. 173-190
-
-
Ibrahim, J.G.1
Lipsitz, S.R.2
Chen, M.H.3
-
11
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird, N. M., and Ware, J. H. (1982), "Random-Effects Models for Longitudinal Data," Biometrics, 38, 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
12
-
-
0025170004
-
Nonlinear mixed effects models for repeated measures data
-
Lindstrom, M. J., and Bates, D. M. (1990), "Nonlinear Mixed Effects Models for Repeated Measures Data," Biometrics, 46, 673-687.
-
(1990)
Biometrics
, vol.46
, pp. 673-687
-
-
Lindstrom, M.J.1
Bates, D.M.2
-
14
-
-
0001508169
-
Parameter expansion for EM acceleration: The PX-EM algorithm
-
Liu, C., Rubin, D. B., and Wu, Y. N. (1998), "Parameter Expansion for EM Acceleration: The PX-EM Algorithm," Biometrika, 85, 755-770.
-
(1998)
Biometrika
, vol.85
, pp. 755-770
-
-
Liu, C.1
Rubin, D.B.2
Wu, Y.N.3
-
15
-
-
0001044972
-
Finding the observed information matrix when suing the EM algorithm
-
Louis, T. A. (1982), "Finding the Observed Information Matrix When Suing the EM Algorithm," Journal of the Royal Statistical Society, Ser. B, 44, 226-233.
-
(1982)
Journal of the Royal Statistical Society, Ser. B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
16
-
-
0031479575
-
Maximum likelihood algorithms for generalized linear mixed models
-
McCulloch, C. E. (1997), "Maximum Likelihood Algorithms for Generalized Linear Mixed Models," Journal of the American Statistical Association, 92, 162-170.
-
(1997)
Journal of the American Statistical Association
, vol.92
, pp. 162-170
-
-
McCulloch, C.E.1
-
17
-
-
18244387717
-
The EM algorithm - An old folk song sung to a fast new tune
-
Meng, X. L., and van Dyk, D. A. (1997), "The EM Algorithm - An Old Folk Song Sung to a Fast New Tune" (with discussion), Journal of the Royal Statistical Society, Ser. B, 59, 511-567.
-
(1997)
Journal of the Royal Statistical Society, Ser. B
, vol.59
, pp. 511-567
-
-
Meng, X.L.1
Van Dyk, D.A.2
-
18
-
-
0001057239
-
Fast EM implementations for mixed-effects models
-
_ (1998), "Fast EM Implementations for Mixed-Effects Models," Journal of the Royal Statistical Society, Ser. B, 60, 559-578.
-
(1998)
Journal of the Royal Statistical Society, Ser. B
, vol.60
, pp. 559-578
-
-
-
19
-
-
84946045727
-
Approximations to the log-likelihood function in the nonlinear mixed-effects model
-
Pinheiro, J. C., and Bates, D. M. (1995), "Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model," Journal of Computational and Graphical Statistics, 4, 12-35.
-
(1995)
Journal of Computational and Graphical Statistics
, vol.4
, pp. 12-35
-
-
Pinheiro, J.C.1
Bates, D.M.2
-
20
-
-
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
-
21
-
-
23044521224
-
Fitting mixed-effects models using efficient EM-type algorithms
-
van Dyk, D. A. (2000), "Fitting Mixed-Effects Models Using Efficient EM-Type Algorithms," Journal of Computational and Graphical Statistics, 9, 78-98.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 78-98
-
-
Van Dyk, D.A.1
-
23
-
-
0036489058
-
Conditional second-order generalized estimating equations for generalized linear and nonlinear mixed-effects models
-
Vonesh, E. F., Wang, H., Nie, L., and Majumdar, D. (2002), "Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models," Journal of the American Statistical Association, 97, 271-283.
-
(2002)
Journal of the American Statistical Association
, vol.97
, pp. 271-283
-
-
Vonesh, E.F.1
Wang, H.2
Nie, L.3
Majumdar, D.4
-
24
-
-
84950432017
-
A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm
-
Wei, G. C., and Tanner, M. A. (1990), "A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithm," Journal of the American Statistical Association, 85, 699-704.
-
(1990)
Journal of the American Statistical Association
, vol.85
, pp. 699-704
-
-
Wei, G.C.1
Tanner, M.A.2
-
25
-
-
0001684437
-
Laplace's approximation for nonlinear mixed models
-
Wolfinger, R. (1993), "Laplace's Approximation for Nonlinear Mixed Models," Biometrika, 80, 791-795.
-
(1993)
Biometrika
, vol.80
, pp. 791-795
-
-
Wolfinger, R.1
-
26
-
-
0032967837
-
Population HIV-1 dynamics in vivo: Applicable models and inferential tools for virological data from AIDS clinical trials
-
Wu, H., and Ding, A. (1999), "Population HIV-1 Dynamics in vivo: Applicable Models and Inferential Tools for Virological Data From AIDS Clinical Trials," Biometrics, 55, 410-418.
-
(1999)
Biometrics
, vol.55
, pp. 410-418
-
-
Wu, H.1
Ding, A.2
-
27
-
-
0035973236
-
A multiple imputation method for missing covariates in nonlinear mixed-effect models, with application to HIV dynamics
-
Wu, H., and Wu, L. (2001), "A Multiple Imputation Method for Missing Covariates in Nonlinear Mixed-Effect Models, With Application to HIV Dynamics," Statistics in Medicine, 20, 1755-1769.
-
(2001)
Statistics in Medicine
, vol.20
, pp. 1755-1769
-
-
Wu, H.1
Wu, L.2
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