summary.tmle: Summarization of the results of a call to the tmle routine

In tmle: Targeted Maximum Likelihood Estimation

Summarization of the results of a call to the tmle routine

Description

These functions are all methods for class tmle, tmle.list, summary.tmle, summary.tmle.list objects

Usage

## S3 method for class 'tmle'
summary(object, ...)
## S3 method for class 'tmle.list'
summary(object, ...)
## S3 method for class 'tmle'
print(x, ...)
## S3 method for class 'tmle.list'
print(x, ...)
## S3 method for class 'summary.tmle'
print(x, ...)
## S3 method for class 'summary.tmle.list'
print(x, ...)

Arguments

object	an object of class tmle or tmle.list.
x	an object of class tmle or tmle.list for summary functions, class summary.tmle or summary.tmle.list for print functions.
...	currently ignored.

Details

print.tmle prints the estimate, variance, p-value, and 95% confidence interval only. print.summary.tmle, called indirectly by entering the command summary(result) (where result has class tmle), outputs additional information. Controlled direct effect estimates have class tmle.list, a list of two objects of class tmle. The first item corresponds to Z=0, the second to Z=1

Value

estimates	list of parameter estimates, pvalues, and 95% confidence intervals
Qmodel	working model used to obtain initial estimate of Q portion of the likelihood, if glm used
Qterms	terms in the model for Q
Qcoef	coefficient of each term in model for Q
gmodel	model used to estimate treatment mechanism g
gterms	terms in the treatment mechanism model
gcoef	coefficient of each term in model for treatment mechanism
gtype	description of estimation procedure for treatment mechanism, e.g. "SuperLearner"
gdiscreteSL	flag indicating whether discrete SL or ensemble SL was used for treatment mechanism estimation
g.Zmodel	model used to estimate intermediate variable assignment mechanism g.Z
g.Zterms	terms in the intermediate mechanism model
g.Zcoef	coefficient of each term in model for intermediate mechanism
g.Ztype	description of estimation procedure for intermediate variable
g.ZdiscreteSL	flag indicating whether discrete SL or ensemble SL was used for intermediate variable estimation
g.Deltamodel	model used to estimate missingness mechanism g.Delta
g.Deltaterms	terms in the missingness mechanism model
g.Deltacoef	coefficient of each term in model for missingness mechanism
g.Deltatype	description of estimation procedure for missingness
g.DeltadiscreteSL	flag indicating whether discrete SL or ensemble SL was used for missingness estimation

Author(s)

Susan Gruber

See Also

tmle

Examples

# generate data
  set.seed(10)
  n <- 500
  W <- matrix(rnorm(n*3), ncol=3)
  A <- rbinom(n,1, 1/(1+exp(-(.1*W[,1] - .1*W[,2] + .5*W[,3]))))
  Y <- A + 2*W[,1] + W[,3] + W[,2]^2 + rnorm(n)
  colnames(W) <- paste("W",1:3, sep="")

  result <- tmle(Y,A,W, Qform="Y~A+W1", g1W=rep(.5, n))
  summary(result)

tmle documentation built on Aug. 23, 2023, 1:08 a.m.