Compute the estimations, standard deviations and confidence intervals of the mediation effects.
Usage
## S3 method for class 'med_iden'
summary(object,...)
## S3 method for class 'summary.med_iden'
print(x,...)
Arguments
object
a med_iden object created initially call to data.org.
x
a summary.med_iden object created initially call to summary.med_iden
...
other arguments passed to the print function.
Details
summary.med_iden gives a list of identified mediators, covariates and the test results.
Value
The function summary.med_iden return a list of covariates and mediators as identified by a series tests.
mediator
variable names of the identified mediators, either siginicant in both full model and in relate to the predictor, or being a member of the pre-identified joint mediators.
covariate
variable names of covariates: being significant in the full model but not significantly relate with the predictor.
Yu, Q., Fan, Y., and Wu, X. (2014) <doi: 10.4172/2155-6180.1000189>. "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival," Journal of Biometrics & Biostatistics,5(2): 189.