PROtest: Test effectiveness based on PROs

pro.testR Documentation

Test effectiveness based on PROs

Description

Tests for effectiveness evaluations based on PROs.

Usage

 pro.test(x,y,group,cutoff,class.names,conf.level,x.range,delta)

Arguments

x,y

vector of PROs at T0 and T1.

group

Group assignment: control or treatment.

cutoff

Class boundaries to define states. Works only when 'x' and 'y' are numeric.

class.names

Labels/names for the states/classes.

conf.level

confidence level.

x.range

Range of the scores for 'x' and 'y'.

delta

an offset added to the class boundaries for sensitivity analyses.

Details

To be added.

Value

To be added.

References

To be added.

Examples

states <- c("low", "moderate", "high")
x0 <- sample(states, size=100, replace=TRUE)
x1 <- sample(states, size=100, replace=TRUE)
grp <- c(rep("control",50),rep("treatment",50))
pro.test(x=x0,y=x1,group=grp)

bda documentation built on Oct. 13, 2023, 5:10 p.m.

Related to PROtest in bda...