Table 4 RRs and ORs and corresponding CIs of associations between a common event (incidence = 50%) 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 | 3 (2.48 - 3.62) | 7.27 (5.44 - 9.72) | 3 (2.48 - 3.62) | 3 (2.31 - 3.89) |
Adjusted * | 1.9 (1.58 - 2.28) | 4.07 (2.88 - 5.74) | 1.89 (1.56 - 2.28) | 1.88 (1.41 - 2.51) |
Predictor B | ||||
Unadjusted | 3.9 (3.26 - 4.67) | 15.23 (11.19 - 20.71) | 3.9 (3.26 - 4.67) | 3.9 (3.04 - 5.01) |
Adjusted * | 3.08 (2.56 - 3.72) | 10.97 (7.95 - 15.14) | 3.09 (2.56 - 3.72) | 3.09 (2.36 - 4.04) |
Predictor C | ||||
Unadjusted | 1.25 (1.1 - 1.41) | 1.57 (1.22 - 2.03) | 1.25 (1.1 - 1.41) | 1.25 (1 - 1.55) |
Adjusted * | 1.02 (0.95 - 1.1) | 1.12 (0.8 - 1.57) | 1.05 (0.96 - 1.15) | 1.06 (0.84 - 1.34) |