Relative Risk Regression for Binary Outcomes: Methods and Recommendations

DOI10.1111/anzs.12131zbMath1373.62383OpenAlexW2279292067MaRDI QIDQ5361182

Ian C. Marschner

Publication date: 27 September 2017

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12131

zbMATH Keywords

Fisher scoringrelative riskquasi-likelihoodbinary datalog-binomial model

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference under constraints (62F30) Generalized linear models (logistic models) (62J12)

Related Items (3)

A new algorithm for fitting semi-parametric variance regression models ⋮ Some results for maximum likelihood estimation of adjusted relative risks ⋮ A comparison of optimization solvers for log binomial regression including conic programming

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