Mediate_binaY_binaM_bootci {mediateP}

Using bootstrap to calculate the confidence intervals in the scenario of binary outcome and binary mediator.

Description

Using bootstrap to calculate the confidence intervals in the scenario of binary outcome and binary mediator.

Usage

Mediate_binaY_binaM_bootci(
  data,
  outcome = "Y",
  mediator = "M",
  exposure = "X",
  covariateY = c("X1", "X2"),
  covariateM = c("X1", "X2"),
  x0 = 0,
  x1 = 1,
  cY = c(0, 0),
  cM = c(0, 0),
  R = 1000
)

Arguments

data

A dataset.

outcome

The outcome variable.

mediator

The mediator variable.

exposure

The exposure variable.

covariateY

A vector of confounders in the outcome regression.

covariateM

A vector of confounders in the mediator regression.

x0

The baseline exposure level.

x1

The new exposure level.

cY

conditional levels of covariateY

cM

conditional levels of covariateM

R

The number of replications.

Value

The 95