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Longitudinal data analysis using generalized linear models
Kung Yee Liang,
Scott L. Zeger
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
12573
Scopus citations
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Dive into the research topics of 'Longitudinal data analysis using generalized linear models'. Together they form a unique fingerprint.
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Mathematics
Longitudinal Data Analysis
86%
Estimating Equation
69%
Generalized Linear Model
64%
M-dependence
52%
Consistent Estimates
38%
Time Dependence
37%
Quasi-likelihood
37%
Estimator
36%
Correlation Structure
35%
Longitudinal Data
32%
Asymptotic Theory
31%
Joint Distribution
29%
Independence
26%
Regression
23%
Observation
19%
Class
17%
Business & Economics
Longitudinal Data Analysis
100%
Generalized Linear Model
80%
Estimator
48%
Longitudinal Data
47%
Quasi-likelihood
44%
Time Dependence
43%
Asymptotic Theory
40%
Correlation Structure
38%
Joint Distribution
36%
Agriculture & Biology
linear models
61%
data analysis
56%
Medicine & Life Sciences
Linear Models
47%
Data Analysis
45%