covadap (version 1.0.1)

summary_covadap: Summary of Covariate-Adaptive Designs

Description

This function automatically recognizes the design implemented and provides a summary of the results.

Usage

summary_covadap(res)

Value

The form of the value returned by summary_covadap depends on the class of the argument provided (see Details).

Arguments

res

An object of class "covadap" or "covadapsim" resulting from the application of a covariate-adaptive design.

Details

When applied to an object of class "covadap": if at least one qualitative covariate is present, the function returns the within-covariate imbalances reporting, for each level of each qualitative covariate, the difference in the number of patients assigned to A and B. If instead at least one quantitative covariate is present, the function returns the difference in means. For each quantitative covariate, the difference in the mean in group A and B is reported.

When applied to an object of class "covadapsim", it reports the averages, in absolute value, of the imbalance measures, strata imbalances and within-covariate imbalances of the nrep trial replications according to the nature of the covariates.

Examples

#Create a sample dataset
df1 <- data.frame("gender" = sample(c("female", "male"), 100, TRUE, c(1 / 3, 2 / 3)),
                 "age" = sample(c("18-35", "36-50", ">50"), 100, TRUE),
                 "bloodpressure" = sample(c("normal", "high", "hyper"), 100, TRUE),
                 stringsAsFactors = TRUE)

res1 <- ECADE(data = df1, all.cat = TRUE,
                  alloc.function = "Efron", rho = 0.85)
summary_covadap(res1)


res2 <- ECADE.sim(data = df1, cov = NULL, n = NULL, all.cat = TRUE,
                  alloc.function = "Efron", rho = 0.85, nrep = 100)
summary_covadap(res2)