Linear mixed effects models for non‐Gaussian continuous repeated measurement data-Reference-Cited by-同舟云学术

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Linear mixed effects models for non‐Gaussian continuous repeated measurement data

Published:2020-09-09 Issue:5 Volume:69 Page:1015-1065
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:J. R. Stat. Soc. C

Author:

Asar Özgür¹,Bolin David²³,Diggle Peter J.⁴,Wallin Jonas⁵

Affiliation:

1. Acibadem Mehmet Ali Aydinlar University İstanbul Turkey

2. King Abdullah University of Science and Technology Thuwal Saudi Arabia

3. University of Gothenburg Sweden

4. Lancaster University, and Health Data Research UK London UK

5. Lund University Sweden

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12405

Reference93 articles.

1. Stability of stochastic approximation under verifiable conditions;Andrieu C.;SIAM J. Control Optimizn,2007

2. Bayesian inference for skew‐Normal linear mixed models;Aralleno‐Valle R. B.;J. Appl. Statist.,2007

3. Short-term and long-term effects of acute kidney injury in chronic kidney disease patients: A longitudinal analysis

4. Mixture of linear mixed models using multivariatetdistribution

5. Exponentially decreasing distributions for the logarithm of particle size

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