Compute the estimations, standard deviations and confidence intervals of the mediation effects.
# S3 method for med_iden.big
summary(object,...,only=F)
# S3 method for summary.med_iden.big
print(x,...)The function summary.med_iden return a list of covariates and mediators as identified by a series tests.
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.
variable names of covariates: being significant in the full model but not significantly relate with the predictor.
statistical test results.
the original object.
a med_iden object created initially call to data.org.big.
a summary.med_iden.big object created initially call to summary.med_iden.big
other arguments passed to the print function.
if only=T, show test results for selected covariates and mediators only.
Qingzhao Yu qyu@lsuhsc.edu and Bin Li bli@lsu.edu
summary.med_iden gives a list of identified mediators, covariates and the test results.
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.
"mma.big"