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Bootstrap model selection in generalized linear models
Wei Pan
, Chap T. Le
Biostatistics
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
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Dive into the research topics of 'Bootstrap model selection in generalized linear models'. Together they form a unique fingerprint.
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Business & Economics
Model Selection
100%
Quasi-likelihood
97%
Generalized Estimating Equations
95%
Bootstrap
94%
Generalized Linear Model
87%
Mean Squared Error
80%
Bayesian Information Criterion
46%
Akaike Information Criterion
43%
Evolutionary Biology
35%
Estimation Method
32%
Simulation Study
31%
Mathematics
Generalized Linear Model
70%
Model Selection
65%
Bootstrap
61%
Quasi-likelihood
54%
Generalized Estimating Equations
53%
Mean Squared Error
43%
Bayesian Information Criterion
28%
Akaike Information Criterion
27%
Marginal Distribution
22%
Biology
21%
Estimate
20%
Data analysis
19%
Independence
19%
Likelihood
19%
Simulation Study
15%
Model
14%
Agriculture & Biology
linear models
67%
correlated responses
42%
evolutionary biology
19%
data analysis
15%
methodology
13%
Medicine & Life Sciences
Linear Models
51%
Teratology
33%
Datasets
17%
Data Analysis
16%
Earth & Environmental Sciences
evolutionary biology
14%
Akaike information criterion
13%
estimation method
11%
data analysis
9%
method
4%
simulation
4%