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,
higher_is_better = T (default) for intervention efficacy,
higher_is_better = F for
Intervention Event Rates
Control Event Rates
logical indicating the direction of the outcome measure, default TRUE
The adopted terminology is similar to that of Uplift modelling https://en.wikipedia.org/wiki/Uplift_modelling
A list of S3 class
personograph.uplift with the following elements:
good outcome people who have a good outcome regardless of intervention
bad outcome people who have a bad outcome regradless of intervention
intervention benefit people who benefit from intervention
intervention harm people who are harmed by intervention
Can be plotted as a personograph with the S3 generic
1 2 3 4
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