Multivariatetlinear mixed models for irregularly observed multiple repeated measures with missing outcomes
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Publication:2857484
DOI10.1002/BIMJ.201200001zbMath1441.62525OpenAlexW1577714061WikidataQ39406682 ScholiaQ39406682MaRDI QIDQ2857484
Publication date: 4 November 2013
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201200001
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (13)
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Uses Software
Cites Work
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- Random-Effects Models for Longitudinal Data
- Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers
- ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
- Estimating the dimension of a model
- Prediction of future observations in growth curve models. With discussion and a reply by the author
- The Use of Score Tests for Inference on Variance Components
- Estimation in multivariate t linear mixed models for multiple longitudinal data
- Robust linear mixed models using the skew t distribution with application to schizophrenia data
- Missing Data in Longitudinal Studies
- Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data
- Inference and missing data
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
- Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
- Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
- Multivariate T-Distributions and Their Applications
- Variance Components Testing in the Longitudinal Mixed Effects Model
- Modeling the Drop-Out Mechanism in Repeated-Measures Studies
- Linear Statistical Inference and its Applications
- An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
- Linear mixed models for longitudinal data
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