TABLE 4.
Empirical results for estimators of causal effect of each additional unit exposure on outcome for the scenario where
Method | Log-normal |
Weibull |
||||||
---|---|---|---|---|---|---|---|---|
EBIAS | ESE | ASE | ECP | EBIAS | ESE | ASE | ECP | |
Additive outcome model | ||||||||
Unadjusted | 1.18 | 0.26 | 0.23 | 0.01 | 0.82 | 0.23 | 0.16 | 0.05 |
Regression adjustment | 0.44 | 0.23 | 0.18 | 0.27 | 0.30 | 0.17 | 0.13 | 0.32 |
Generalized propensity score | 0.44 | 0.23 | 0.23 | 0.48 | 0.30 | 0.17 | 0.16 | 0.53 |
Propensity score based on two-part model | 0.00 | 0.22 | 0.21 | 0.97 | 0.00 | 0.15 | 0.14 | 0.96 |
Multiplicative outcome model | ||||||||
Unadjusted | −1.39 | 0.23 | 0.19 | 0.00 | −0.97 | 0.23 | 0.17 | 0.03 |
Regression adjustment | −0.63 | 0.24 | 0.18 | 0.03 | −0.42 | 0.18 | 0.14 | 0.10 |
Generalized propensity score | −0.63 | 0.24 | 0.19 | 0.04 | −0.42 | 0.18 | 0.14 | 0.11 |
Propensity score based on two-part model | 0.00 | 0.13 | 0.10 | 0.95 | 0.00 | 0.08 | 0.07 | 0.95 |
EBIAS: Empirical bias
ESE: Empirical standard error
ASE: Asymptotic standard error
ECP: Empirical coverage probability