seq.mediator: The estimator for the sequential mediation that utilizes data...

In mcl868/causalinmisdata: Causal inference in missing data

The estimator for the sequential mediation that utilizes data only complete cases

Usage

seq.mediator(mmodels, exposure, int, data, ...)

Arguments

mmodels	The models correspond to the models the outcome.
exposure	The exposure.
int	The exposure of interest for the mediation analysis.
data	Data.
...

Value

mmodels	The mmodels that have been used for modeling data.
coef	The coefficients from the analysis of the direct effect and the indirect effects.
exposure	The exposure of the analysis.
N	The sample size of data.
NCC	The sample size of complete cases of data. In case of no missing values NCC is equal to N.

Author(s)

Thomas Maltesen [e-mail]

References

put references to the literature/web site here

Examples

## Not run: 
p<-function(x)exp(x)/(1+exp(x))

## End(Not run)

mcl868/causalinmisdata documentation built on March 5, 2024, 8:22 a.m.