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A likelihood reformulation method in non-normal random effects models
Lei Liu
, Zhangsheng Yu
Institute for Informatics, Data Science and Biostatistics (I2DB)
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute for Public Health
DBBS - Biomedical Informatics and Data Science
Rheumatic Diseases Research Resource-Based Center
Research output
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Contribution to journal
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Article
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peer-review
63
Scopus citations
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Keyphrases
Random Effects Model
100%
Normal Random Effect
100%
Reformulation Techniques
100%
Mixed Models
25%
Computation Time
25%
Maximum Likelihood Estimation
25%
Random Effects
25%
Computational Methods
25%
Gaussian Quadrature
25%
NLMIXED
25%
Estimation Process
25%
Integral Transforms
25%
Standard Normal
25%
Normal Density
25%
Correlated Random Effects
25%
Finite Mixture
25%
Clayton Copula
25%
General Situation
25%
Probability Integral Transformation
25%
Mathematics
Random Effect
100%
Random Effects Model
100%
Probability Theory
20%
Mixed Model
20%
Gaussian Quadrature
20%
Conditionals
20%
Copula
20%
Transformation Method
20%
Normal Density
20%
Finite Mixture
20%
Conditional Likelihood
20%
Maximum Likelihood Estimate
20%