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Kernel-based global MLE of partial linear random effects models for longitudinal data
Lei Liu
, Zhihua Sun
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
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Keyphrases
Longitudinal Data
100%
Maximum Likelihood Method
100%
Partial Linear
100%
Kernel-based
100%
Linear Random-effects Model
100%
Random Effects Model
66%
Global Maximum
66%
Random Effects
33%
Simulation Study
33%
Semi-parametric
33%
Medical Costs
33%
Medical Expenditure Panel Survey
33%
Gaussian Quadrature
33%
Paper-based
33%
One-point
33%
Asymptotic Properties
33%
Panel Survey Data
33%
Kernel Methods
33%
Likelihood Methods
33%
Nonparametric Function
33%
Local Approximation
33%
Mathematics
Longitudinal Data
100%
Random Effects Model
100%
Maximum Likelihood Method
75%
Random Effect
25%
Simulation Study
25%
Gaussian Quadrature
25%
Approximates
25%
Asymptotic Property
25%
Survey Data
25%
Grid Point
25%