summary.MED: Summarizing output of study.

In MED: Mediation by Tilted Balancing

Description

summary method for class "MED"

Usage

## S3 method for class 'MED'
summary(object, ...)

## S3 method for class 'summary.MED'
print(x, ...)

Arguments

object	An object of class "MED", usually a result of a call to MED.
x	An object of class "summary.MED", usually a result of a call to summary.MED.
...	Further arguments passed to or from methods.

Details

print.summary.MED prints a simplified output similar to print.summary.lm. The resulting table provides the point estimates, estimated standard errors, 95% Wald confidence intervals, the Z-statistic and the P-values for a Z-test.

Value

The function summary.MED returns a list with the following components

Estimate	A matrix with point estimates along with standard errors, confidence intervals etc. This is the matrix users see with the print.summary.RIPW function.
vcov	The variance-covariance matrix of the point estimates.
Conv	The convergence result of the object.
weights	The weights for each subject in each treatment arm. These are same as the weight component of the "RIPW" object.
call	The call passed on as an argument of the function which is equivalent to object$call.

Author(s)

Gary Chan

See Also

MED

Examples

library(MED)
#binary treatment and binary mediator

set.seed(25)
n <- 200
Z <- matrix(rnorm(4*n),ncol=4,nrow=n)
prop.e <- 1 / (1 + exp(Z[,1] - 0.5 * Z[,2] + 0.25*Z[,3] + 0.1 * Z[,4]))
treat <- rbinom(n, 1, prop.e)
prop.m <- 1 / (1 + exp(-(0.5 - Z[,1] + 0.5 * Z[,2] - 0.9 *Z [,3] + Z[,4] - 1.5 * treat)))
M <- rbinom(n, 1, prop.m)
Y <- 200 + treat + M + 27.4*Z[,1] + 13.7*Z[,2] +
          13.7*Z[,3] + 13.7*Z[,4] + rnorm(n)
X <- cbind(exp(Z[,1])/2,Z[,2]/(1+exp(Z[,1])),
          (Z[,1]*Z[,3]/25+0.6)^3,(Z[,2]+Z[,4]+20)^2)

#estimation of natural mediation effecs
fit1<-MED(Y,treat,M,X)
summary(fit1)

MED documentation built on May 2, 2019, 12:55 a.m.