Description Usage Arguments Value
View source: R/mediate_contY_contM.R View source: R/mediateP.R
Mediation analysis function for continuous outcome and mediator
1 2 3 4 5 6 7 8 9 10 | mediate_contY_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
)
|
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. |
A list containing NIE, NDE and MP point and interval estimates.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.