convertmargin.binary: Function to convert non-inferiority margin for binary outcome...

In Matteo21Q/dani: Design and Analysis of Non-Inferiority Trials

Function to convert non-inferiority margin for binary outcome between summary measures.

Description

Function to convert non-inferiority margin between different summary measures with a binary outcome. Supported summary measures are risk difference (RD), risk ratio (RR), odds ratio (OR) and arcsine difference (AS).

Usage

convertmargin.binary(p.control.expected, NI.margin.original, 
                  summary.measure.original, summary.measure.target)
                  

Arguments

p.control.expected	The expected control event risk.
NI.margin.original	The non-inferiority margin on the original scale, i.e. using the original summary measure.
summary.measure.original	The original summary measure on which the non-inferiority margin is specified. One of "RD" (risk difference), "RR" (risk ratio), "OR" (odds ratio) or "AS" (arcsine difference).
summary.measure.target	The summary measure in which we want to convert the non-inferiority margin. One of "RD" (risk difference), "RR" (risk ratio), "OR" (odds ratio) or "AS" (arcsine difference).

Value

This function returns the non-inferiority margin in the target summary measure.

Examples

# Example: RD to AS
p0.expected<-0.05
NI.margin.RD<-0.05
NI.margin.AS<-convertmargin.binary(p0.expected, NI.margin.RD,"RD","AS")
# Example: RR to RD
NI.margin.RR<-2
NI.margin.RD<-convertmargin.binary(p0.expected, NI.margin.RR,"RR","RD")
# Example: RD to OR
NI.margin.OR<-convertmargin.binary(p0.expected, NI.margin.RD,"RD","OR")

Matteo21Q/dani documentation built on Aug. 29, 2024, 12:48 a.m.