mma (version 10.8-1)

summary.med_iden: Summary method for class "med_iden".

Description

Compute the estimations, standard deviations and confidence intervals of the mediation effects.

Usage

# S3 method for med_iden
summary(object,...,only=FALSE) 
# S3 method for summary.med_iden
print(x,...)

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.

tests

statistical test results.

results

the original object.

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.

only

if only=T, show test results for selected covariates and mediators only.

Author

Qingzhao Yu

Details

summary.med_iden gives a list of identified mediators, covariates and the test results.

References

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.

Yu, Q., Scribner, R.A., Leonardi, C., Zhang, L., Park, C., Chen, L., and Simonsen, N.R. (2017) <doi:10.1016/j.sste.2017.02.001>. "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors," Spatial and Spatio-temporal Epidemiology, 21, 13-23.

Yu, Q., and Li, B. (2017) <doi:10.5334/hors.160>. "mma: An r package for multiple mediation analysis," Journal of Open Research Software, 5(1), 11.

Yu, Q., Wu, X., Li, B., and Scribner, R. (2018). <doi:10.1002/sim.7977>. "Multiple Mediation Analysis with Survival Outcomes – With an Application to Explore Racial Disparity in Breast Cancer Survival," Statistics in Medicine.

Yu, Q., Medeiros, KL, Wu, X., and Jensen, R. (2018). <doi:10.1007/s11336-018-9612-2>. "Explore Ethnic Disparities in Anxiety and Depression Among Cancer Survivors Using Nonlinear Mediation Analysis," Psychometrika, 83(4), 991-1006.

See Also

"mma","boot.med"

Examples

data("weight_behavior")
 x=weight_behavior[,c(2,4:14)]
 pred=weight_behavior[,3]
 y=weight_behavior[,15]
 data.b.b.2<-data.org(x,y,mediator=5:12,jointm=list(n=1,j1=c(5,7,9)),
                        pred=pred,predref="M", alpha=0.4,alpha2=0.4)
 summary(data.b.b.2)