mediate_binaY_contM: Mediation analysis function for binary outcome and continuous...

In chaochengstat/mediateP: Mediation analysis based on the product method

Description

Mediation analysis function for binary outcome and continuous mediator

Usage

mediate_binaY_contM(
  data,
  outcome = "Y",
  mediator = "M",
  exposure = "X",
  covariateY = c("X1", "X2", "X3", "X4", "X5", "X6", "X7", "X8"),
  covariateM = c("X1", "X2", "X3", "X4", "X5", "X6", "X7"),
  x0 = 0,
  x1 = 1,
  cY = c(0, 0),
  cM = c(0, 0)
)

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

Value

A list containing NIE, NDE and MP point and interval estimates.

chaochengstat/mediateP documentation built on Jan. 8, 2021, 3:31 p.m.