treatment_effect: Treatment Effect

In RobinCar2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials

Treatment Effect

Description

Obtain treatment effect and variance from counter-factual prediction

Usage

treatment_effect(
  object,
  pair = pairwise(names(object$estimate)),
  eff_measure,
  eff_jacobian = eff_jacob(eff_measure),
  ...
)

difference(object, ...)

risk_ratio(object, ...)

odds_ratio(object, ...)

Arguments

object	Object from which to obtain treatment effect.
pair	(contrast) Contrast choices.
eff_measure	(function) Treatment effect measurement function.
eff_jacobian	(function) Treatment effect jacobian function.
...	Additional arguments for variance.

Value

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.

RobinCar2 documentation built on April 3, 2025, 9:34 p.m.