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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 17
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Original Articles

Bayesian analysis of multivariate t linear mixed models with missing responses at random

Wan-Lun WangDepartment of Statistics, Graduate Institute of Statistics and Actuarial Science, Feng Chia University, Taichung, TaiwanCorrespondence[email protected]
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Tsung-I LinInstitute of Statistics, National Chung Hsing University, Taichung, Taiwan;Department of Public Health, China Medical University, Taichung, TaiwanView further author information
Pages 3594-3612 | Received 28 May 2014, Accepted 16 Nov 2014, Published online: 16 Dec 2014

Citations (14)

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Read on this site (3)

Marta Regis, Alberto Brini, Nazanin Nooraee, Reinder Haakma & Edwin R. van den Heuvel. (2022) The t linear mixed model: model formulation, identifiability and estimation. Communications in Statistics - Simulation and Computation 51:5, pages 2318-2342.
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M. Taavoni, M. Arashi, Wan-Lun Wang & Tsung-I Lin. (2021) Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics. Journal of Statistical Computation and Simulation 91:2, pages 260-281.
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S. Eftekhari Mahabadi & E. Rahimi Jafari. (2018) Skew-mixed effects model for multivariate longitudinal data with categorical outcomes and missingness. Journal of Applied Statistics 45:12, pages 2182-2201.
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Articles from other publishers (11)

Tsung‐I Lin & Wan‐Lun Wang. (2022) Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies. Biometrical Journal 64:7, pages 1325-1339.
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Mozhgan Taavoni & Mohammad Arashi. (2021) Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis. Biometrical Journal 64:3, pages 539-556.
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Christian E. Galarza, Tsung-I Lin, Wan-Lun Wang & Víctor H. Lachos. (2021) On moments of folded and truncated multivariate Student-t distributions based on recurrence relations. Metrika 84:6, pages 825-850.
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M. Taavoni & M. Arashi. (2019) Kernel estimation in semiparametric mixed effect longitudinal modeling. Statistical Papers 62:3, pages 1095-1116.
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Wan‐Lun Wang. (2020) Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses. Statistics in Medicine 39:19, pages 2518-2535.
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Tsung-I Lin & Wan-Lun Wang. (2019) Multivariate- t linear mixed models with censored responses, intermittent missing values and heavy tails . Statistical Methods in Medical Research 29:5, pages 1288-1304.
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Wan-Lun Wang. (2018) Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values. TEST 28:1, pages 196-222.
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Wan-Lun Wang, Tsung-I Lin & Victor H Lachos. (2015) Extending multivariate- t linear mixed models for multiple longitudinal data with censored responses and heavy tails . Statistical Methods in Medical Research 27:1, pages 48-64.
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Mehrdad Naderi, Alireza Arabpour, Tsung-I Lin & Ahad Jamalizadeh. (2017) Nonlinear regression models based on the normal mean–variance mixture of Birnbaum–Saunders distribution. Journal of the Korean Statistical Society 46:3, pages 476-485.
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Getachew A. Dagne. (2015) Bayesian segmental growth mixture Tobit models with skew distributions. Computational Statistics 31:1, pages 121-137.
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Hea-Jung Kim. (2015) A Bayesian Predictive Discriminant Analysis with Screened Data. Entropy 17:12, pages 6481-6502.
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