Estimation of relative risk using a log-binomial model with constraints

DOI10.1007/s00180-013-0476-8zbMath1306.65093OpenAlexW2075037368MaRDI QIDQ2259767

Jiajia Zhang, Han Sun, J. Luo

Publication date: 5 March 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-013-0476-8

zbMATH Keywords

logistic regressionrelative riskodds ratiolog-binomial model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

A comparison of optimization solvers for log binomial regression including conic programming ⋮ Summary goodness-of-fit statistics for binary generalized linear models with noncanonical link functions

Uses Software

• R
• SAS
• PROC GENMOD
• constrOptim
• PROC NLP

Cites Work

• Power and Sample Size for Testing Homogeneity of Relative Risks in Prospective Studies
• Parameter Estimation and Goodness-of-Fit in Log Binomial Regression
• Quasi-likelihood estimation for relative risk regression models

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