uplift: "Uplift" from IER and CER

Description Usage Arguments Details Value Examples

View source: R/personograph.R

Description

Calculates the percentage (from 0 to 1) of people who have an intervention benefit, intervention harm, bad outcome regardless, and good outcome regardless from the Intervention Event Rates (IER) and Control Event Rates (CER). Note that the result depends on the direction of the outcome measure, e.g. higher_is_better = T (default) for intervention efficacy, higher_is_better = F for adverse events.

Usage

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uplift(ier, cer, higher_is_better = NULL)

Arguments

ier

Intervention Event Rates

cer

Control Event Rates

higher_is_better

logical indicating the direction of the outcome measure, default TRUE

Details

The adopted terminology is similar to that of Uplift modelling https://en.wikipedia.org/wiki/Uplift_modelling

Value

A list of S3 class personograph.uplift with the following elements:

Can be plotted as a personograph with the S3 generic plot.

Examples

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ier <- 0.06368133
cer <- 0.1115242
u <- uplift(ier, cer, higher_is_better=TRUE)
plot(u)

personograph documentation built on May 29, 2017, 12:37 p.m.