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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, Cox regression with robust variance and logistic regression with the proposed modification

From: A simple method for estimating relative risk using logistic regression

Independent
variable
Log-binomial
regression: RR
(CI)
Logistic
regression: OR
(CI)
Cox
regression -
robust: RR
(CI)
Modified
Logistic
regression: RR
(CI)
Predictor A     
   Unadjusted 2.75 (1.99 - 3.81) 3.39 (2.33 - 4.95) 2.75 (1.99 - 3.81) 2.75 (1.9 - 3.99)
   Adjusted * 1.79 (1.27 - 2.52) 2.06 (1.36 - 3.12) 1.77 (1.26 - 2.48) 1.75 (1.16 - 2.64)
Predictor B     
   Unadjusted 3.88 (2.82 - 5.34) 5.22 (3.6 - 7.56) 3.88 (2.82 - 5.34) 3.88 (2.69 - 5.59)
   Adjusted * 3.15 (2.24 - 4.43) 4.07 (2.75 - 6.03) 3.15 (2.26 - 4.39) 3.15 (2.13 - 4.65)
Predictor C     
   Unadjusted 1.09 (0.85 - 1.4) 1.11 (0.81 - 1.52) 1.09 (0.85 - 1.4) 1.09 (0.8 - 1.48)
   Adjusted * 0.92 (0.72 - 1.17) 0.89 (0.63 - 1.25) 0.92 (0.72 - 1.17) 0.93 (0.67 - 1.28)
  1. * Adjusted by the other independent variables.