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A simple method for estimating relative risk using logistic regression

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Table 1 Hypothetical distribution of subjects according to the predictors and outcome incidence
Table 2 RRs and ORs and corresponding CIs of associations between a rare event (incidence = 5%) and threeindependent variables, estimated by Log-binomial regression, ordinary logistic regression, Cox regression with robustvariance and logistic regression with the proposed modification
Table 3 RRs and ORs and corresponding CIs of associations between an intermediate frequency event (incidence =20%) and three independent variables, estimated by Log-binomial regression, ordinary logistic regression, Coxregression with robust variance and logistic regression with the proposed modification
Figure 1 Inflation Factor of Standard Error (SE) for each predictor according to incidence of outcome.

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