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) |