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Generalized additive partial linear models for clustered data with diverging number of covariates using gee
Heng Lian, Hua Liang, Lan Wang
Statistics (Twin Cities)
Research output
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Contribution to journal
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Article
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peer-review
33
Scopus citations
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Dive into the research topics of 'Generalized additive partial linear models for clustered data with diverging number of covariates using gee'. Together they form a unique fingerprint.
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Mathematics
Partial Linear Model
78%
Clustered Data
68%
Variable Selection
55%
Covariates
45%
Sample Size
41%
Oracle Property
34%
Polynomial Splines
33%
Generalized Estimating Equations
32%
Estimating Equation
30%
Selection Procedures
30%
Asymptotic Normality
25%
Monte Carlo Simulation
23%
Asymptotic Properties
23%
Modeling
17%
Demonstrate
16%
Estimator
16%
Framework
15%
Model
8%
Business & Economics
Partial Linear Model
100%
Variable Selection
98%
Sample Size
73%
Covariates
54%
Monte Carlo Simulation
42%
Generalized Estimating Equations
39%
Asymptotic Normality
36%
Splines
35%
Asymptotic Properties
33%
Polynomials
26%
Estimator
21%
Modeling
15%