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Generalized linear models with random effects; a Gibbs sampling approach
Scott L. Zeger
, M. Rezaul Karim
Bloomberg School of Public Health
Research output
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Contribution to journal
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Article
›
peer-review
632
Scopus citations
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Dive into the research topics of 'Generalized linear models with random effects; a Gibbs sampling approach'. Together they form a unique fingerprint.
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Mathematics
Gibbs Sampling
81%
Generalized Linear Model
72%
Random Effects
69%
Linear Model
40%
Mixing Distribution
30%
Survey Sampling
30%
Longitudinal Study
28%
Gibbs Sampler
27%
Random Effects Model
26%
Infectious Diseases
26%
Monte Carlo method
23%
Numerical integration
21%
Likelihood
19%
Evaluate
18%
Regression
17%
Methodology
16%
Simulation Study
16%
Unit
15%
Observation
14%
Framework
13%
Family
10%
Business & Economics
Gibbs Sampling
100%
Generalized Linear Model
90%
Random Effects
72%
Gibbs Sampler
34%
Numerical Integration
33%
Random Effects Model
27%
Monte Carlo Method
27%
Infectious Diseases
25%
Sampling
23%
Longitudinal Study
22%
Simulation Study
21%