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logbin: an R package for relative risk regression using the log-binomial model
Mark W. Donoghoe,
Ian C. Marschner
Research output
:
Contribution to journal
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Article
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peer-review
40
Citations (Scopus)
443
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Dive into the research topics of 'logbin: an R package for relative risk regression using the log-binomial model'. Together they form a unique fingerprint.
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Mathematics
Binomial Model
98%
Relative Risk
97%
Regression
58%
Regression Model
42%
Fisher Scoring
38%
Binary Outcomes
32%
Statistical Software
32%
Computational Algorithm
29%
Generalized Linear Model
27%
Maximum Likelihood Estimate
24%
Maximum Likelihood Estimation
23%
Standards
14%
Term
13%
Business & Economics
Binomial Model
100%
Relative Risk
96%
Maximum Likelihood Estimation
47%
Regression Model
42%
Generalized Linear Model
33%
Scoring
27%
Maximum Likelihood
25%
Software
16%
Engineering & Materials Science
Statistical Models
69%
Maximum likelihood estimation
29%
Maximum likelihood
24%