On the Estimation of Relative Risks via Log Binomial Regression
نویسندگان
چکیده
Given the well known convergence difficulties in fitting log binomial regression with standard GLM software, we implement a direct solution via constrained optimization which avoids the circumventions found in the literature. The use of a log binomial model is motivated by our interest in directly estimating relative risks adjusted for confounders. A Bayesian log binomial regression model is also discussed for a dataset of epidemiological interest. We developed R functionality to illustrate our proposal.
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