summary: Summary of the average treatment effects from AIPW

In AIPW: Augmented Inverse Probability Weighting

Summary of the average treatment effects from AIPW

Description

Calculate average causal effects in RD, RR and OR in the fitted AIPW or AIPW_tmle object using the estimated efficient influence functions

Arguments

g.bound

Value between [0,1] at which the propensity score should be truncated. Propensity score will be truncated to [g.bound, 1-g.bound] when one g.bound value is provided, or to [min(g.bound), max(g.bound)] when two values are provided. Defaults to 0.025.

Value

estimates and result (public variables): Risks, Average treatment effect in RD, RR and OR.

R6 Usage

$summary(g.bound = 0.025)
$summary(g.bound = c(0.025,0.975))

See Also

AIPW and AIPW_tmle

AIPW documentation built on April 12, 2025, 1:27 a.m.