summaryspeffSurv: Summarizing results for semiparametric efficient estimation...

In speff2trial: Semiparametric Efficient Estimation for a Two-Sample Treatment Effect

Summarizing results for semiparametric efficient estimation and testing for a two-sample treatment effect with a right-censored time-to-event endpoint

Description

summary method for an object of class "speffSurv".

Usage

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

Arguments

object	an object of class "speffSurv".
...	for other methods.

Details

print.summary.speffSurv prints a formatted summary of results. In the initial section, right-sided formulas defining the optimal selected functions in the randomization and censoring space are printed. Further, an inferential table is generated with point and interval estimates of the log hazard ratio, standard error estimates, and Wald test p-values using both the proportional hazards and covariate-adjusted estimation methods. At least five significant digits are printed.

Value

A list with the following components:

tab	inferential table for the treatment effect.
method	search technique employed in the model selection procedure.
formula	a list with components rndSpace and censSpace containing formula objects for the optimal selected linear regression models that characterize the optimal elements in the randomization and censoring space, respectively. Set to NULL if fixed=TRUE.
fixed	a logical value; if TRUE, the efficient estimator utilized all baseline covariates specified in the formula. Otherwise, the automated selection procedure was used to identify covariates that ensure optimality.

See Also

speffSurv

Examples

### from the example for 'speffSurv':
data <- na.omit(ACTG175[ACTG175$arms==0 | ACTG175$arms==1, ])
data <- data[1:100, ]

fit1 <- speffSurv(Surv(days,cens) ~ cd40+cd80+age, 
                  data=data, trt.id="arms", fixed=TRUE)

summary(fit1)

speff2trial documentation built on May 31, 2022, 5:06 p.m.