tmle3_mopttx_blip_revere: Mean under the Optimal Individualized Treatment Rule

In tlverse/tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment

Mean under the Optimal Individualized Treatment Rule

Description

O=(W,A,Y) W=Covariates A=Treatment (binary or categorical) Y=Outcome (binary or bounded continuous)

Usage

tmle3_mopttx_blip_revere(
  V = NULL,
  type = "blip1",
  learners,
  maximize = TRUE,
  complex = TRUE,
  realistic = FALSE,
  resource = 1,
  interpret = FALSE,
  likelihood_override = NULL,
  reference = NULL
)

Arguments

V	Covariates the rule depends on.
type	One of three psudo-blip versions developed to accommodate categorical treatment. "Blip1" corresponds to chosing a reference category, and defining the blip for all other categories relative to the specified reference. Note that in the case of binary treatment, "blip1" is just the usual blip. "Blip2$ corresponds to defining the blip relative to the average of all categories. Finally, "Blip3" corresponds to defining the blip relative to the weighted average of all categories.
learners	Library for Y (outcome), A (treatment), and B (blip) estimation.
maximize	Specify whether we want to maximize or minimize the mean of the final outcome.
complex	If TRUE, learn the rule using the specified covariates V. If FALSE, check if a less complex rule is better.
realistic	If TRUE, it will return a rule what is possible due to practical positivity constraints.
resource	Indicates the percent of initially estimated individuals who should be given treatment that get treatment, based on their blip estimate. If resource = 1 all estimated individuals to benefit from treatment get treatment, if resource = 0 none get treatment.
interpret	If TRUE, returns a HAL fit of the blip, explaining the rule.
likelihood_override	if estimates of the likelihood are known, override learners.
reference	reference category for blip1. Default is the smallest numerical category or factor.

tlverse/tmle3mopttx documentation built on Aug. 9, 2022, 3:31 p.m.