Obtain treatment effect and variance from counter-factual prediction
treatment_effect(
object,
pair = pairwise(names(object$estimate)),
eff_measure,
eff_jacobian = eff_jacob(eff_measure),
...
)difference(object, ...)
risk_ratio(object, ...)
odds_ratio(object, ...)
A list of treatment_effect object with following elements:
estimate: estimate of the treatment effect.
pair: contrast object indicating the pairwise treatment effect.
contrast: name of the contrast function.
euqal_val: the value for no treatment effect given the contrast.
marginal_mean: the prediction_cf object.
fit: the fitted model.
treatment: the treatment assignment.
variance: the variance of the treatment effect.
jacobian: the Jacobian matrix.
Object from which to obtain treatment effect.
(contrast) Contrast choices.
(function) Treatment effect measurement function.
(function) Treatment effect jacobian function.
Additional arguments for variance.