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Model selection in linear mixed effect models
Heng Peng
, Ying Lu
*
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
94
Citations (Scopus)
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Dive into the research topics of 'Model selection in linear mixed effect models'. Together they form a unique fingerprint.
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Keyphrases
Model Selection
100%
Linear Mixed Model
100%
Random Effects
100%
Penalty Function
66%
Simulation Study
33%
Consistency Properties
33%
Partial Consistency
33%
Iterative Procedure
33%
Real-time Data Analysis
33%
Selection Strategy
33%
Parameter Estimation
33%
Challenging Problems
33%
Social Sciences
33%
Longitudinal Data
33%
Oracle Property
33%
Mixed-effects Model
33%
Medical Sciences
33%
Biological Sciences
33%
Fixed Effects
33%
Smoothly Clipped Absolute Deviation Penalty
33%
Data-oriented
33%
Consistent Variable Selection
33%
Effect Coefficient
33%
Mathematics
Model Selection
100%
Random Effect
100%
Simulation Study
33%
Real Data
33%
Longitudinal Data
33%
Parameter Estimation
33%
Linear Mixed Model
33%
Cross-Sectional Data
33%