summary.speff: Summarizing results for semiparametric efficient estimation and testing for a 2-sample treatment effect

Description

summary method for an object of class "speff".

Usage

# S3 method for speff
summary(object,...)

Arguments

object

an object of class "speff".

…

for other methods.

Value

A list with the following components:

tab

inferential table for the treatment effect.

method

search technique employed in the model selection procedure.

rsq

a numeric vector of the R-squared statistics for the optimal selected regression models predicting the study endpoint.

formula

a list with components control and treatment containing formula objects for the optimal selected regression models.

predicted

a logical vector; if TRUE, the built-in model selection procedure was employed for prediction of the study endpoint in the control and treatment group, respectively.

Details

print.summary.speff prints a formatted summary of results. In the initial section, formulas for the optimal selected regression models are printed with pertaining R-squared statistics for each treatment group. Further, an inferential table is produced with point and interval estimates of the treatment effect, standard error estimates, and Wald test p-values using both the naive and covariate-adjusted estimation methods. At least five significant digits are printed.

Examples

Run this code

# NOT RUN {
### from the example for 'speff':
fit1 <- speff(cd496 ~ age+wtkg+hemo+homo+drugs+karnof+oprior+preanti+
race+gender+str2+strat+symptom+cd40+cd420+cd80+cd820+offtrt,
postrandom=c("cd420","cd820","offtrt"), data=ACTG175, trt.id="treat")

summary(fit1)
# }