targeted (version 0.9.0)

RATE: Responder Average Treatment Effect

Description

Estimation of the Average Treatment Effect among Responders

Usage

RATE(
  response,
  post.treatment,
  treatment,
  data,
  M = 5,
  pr.treatment,
  treatment.level,
  preprocess = NULL,
  efficient = TRUE,
  ...
)

Value

estimate object

Arguments

response

(formula or learner) Response model. A formula (e.g., Y ~ D*A) is wrapped in learner_glm with a Gaussian family.

post.treatment

(formula or learner) Post treatment marker model. A formula (e.g., D ~ W) is wrapped in learner_glm with a binomial family.

treatment

Treatment formula (e.g, A ~ 1)

data

data.frame

M

Number of folds in cross-fitting (M=1 is no cross-fitting)

pr.treatment

(optional) Randomization probability of treatment.

treatment.level

Treatment level in binary treatment (default 1)

preprocess

(optional) Data preprocessing function

efficient

If TRUE, the estimate will be efficient. If FALSE, the estimate will be a simple plug-in estimate.

...

Additional arguments to lower level functions

Author

Andreas Nordland, Klaus K. Holst