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 class 'speff':
summary(object,...)

Arguments

object

an object of class "speff".

...

for other methods.

Value

A list with the following components:
tabinferential table for the treatment effect.
methodsearch technique employed in the model selection procedure.
rsqa numeric vector of the R-squared statistics for the optimal selected regression models predicting the study endpoint.
formulaa list with components control and treatment containing formula objects for the optimal selected regression models.
predicteda 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

### 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)