Some results for maximum likelihood estimation of adjusted relative risks

DOI10.1080/03610926.2017.1402045OpenAlexW2774305006MaRDI QIDQ5075489

Joanlise Marco de Leon Andrade, Bernardo B. de Andrade

Publication date: 16 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1402045

zbMATH Keywords

risk ratioconstrained inferenceadaptive barrier

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric inference under constraints (62F30) Generalized linear models (logistic models) (62J12)

Related Items (1)

A comparison of optimization solvers for log binomial regression including conic programming

Uses Software

• sandwich
• PROC GENMOD
• PROC NLP
• blm
• glm2
• logbin
• prLogistic
• lbreg

Cites Work

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• An objective Bayesian estimation of parameters in a log-binomial model
• On the asymptotics of constrained local \(M\)-estimators.
• On the asymptotics of constrained \(M\)-estimation
• An adaptive barrier method for convex programming
• Relative risk regression: reliable and flexible methods for log-binomial models
• Constrained Statistical Inference
• Maximum Likelihood Estimation of the Log-Binomial Model
• Numerical Analysis for Statisticians
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Parameter Estimation and Goodness-of-Fit in Log Binomial Regression
• Relative Risk Regression for Binary Outcomes: Methods and Recommendations

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