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Test of significance for high-dimensional longitudinal data
Ethan X. Fang, Yang Ning, Runze Li
Bloomberg School of Public Health
Research output
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Contribution to journal
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Article
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peer-review
3
Scopus citations
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Mathematics
High-dimensional Data
74%
Longitudinal Data
68%
False Discovery Rate
50%
Test Statistic
33%
Nuisance Parameter
28%
High-dimensional
20%
Regression
19%
Optimal Test
16%
Wald Test
16%
Multiple Testing
15%
Estimator
15%
Hypothesis Test
14%
Type I error
14%
Control Parameter
14%
Statistical Inference
12%
Covariates
10%
Confidence interval
10%
Sample Size
9%
Simulation Study
9%
Testing
9%
Imply
8%
Simulation
8%
Performance
7%
Polynomial
6%
Business & Economics
Longitudinal Data
100%
Test Statistic
34%
Nuisance Parameter
29%
Estimator
17%
Confidence Interval
15%
Statistical Inference
14%
Sample Size
14%
Wald Test
14%
Type I Error
13%
Limiting Distribution
13%
Polynomials
10%
Simulation Study
10%
Hypothesis Test
9%
Inference
8%
Simulation
7%
Performance
4%