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GEE analysis of clustered binary data with diverging number of covariates
Lan Wang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
69
Scopus citations
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Dive into the research topics of 'GEE analysis of clustered binary data with diverging number of covariates'. Together they form a unique fingerprint.
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Mathematics
Clustered Data
87%
Generalized Estimating Equations
84%
Binary Data
80%
Covariates
58%
Sandwich
55%
Asymptotic Theory
48%
Valid
34%
Wald Test
30%
Number of Clusters
29%
Correlation Matrix
26%
Asymptotic Approximation
25%
Regularity Conditions
22%
Asymptotic Normality
21%
Linear Combination
19%
Confidence interval
19%
Numerical Simulation
17%
Infinity
15%
Estimator
13%
Framework
13%
Business & Economics
Generalized Estimating Equations
100%
Covariates
69%
Asymptotic Theory
61%
Confidence Interval
33%
Wald Test
30%
Asymptotic Normality
30%
Correlation Matrix
28%
Numerical Simulation
24%
Regularity
23%
Approximation
18%
Estimator
18%