prop_strata: Stratified Proportion Estimate for Binomial Data

In blockRAR: Block Design for Response-Adaptive Randomization

Description

Computing the proportion of treatment difference for stratified data. The stratification is done over time.

Usage

prop_strata(treatment, outcome, block)

Arguments

treatment	vector. The vector with treatment assignment, 0 for control and 1 for treatment group.
outcome	vector. The vector with outcome, 0 for failure and 1 for success. Must be the same length as treatment variable.
block	vector. The vector with factor level of the block. Must be same lenhth as treatment variable.

Value

the weighted mean of proportion difference (treatment - control).

Examples

set.seed(20999)
prop_strata(c(0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0),
            c(0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1),
            as.factor(rep(1:3, each = 5)))

blockRAR documentation built on March 26, 2020, 5:52 p.m.