s_bland_altman: Bland-Altman analysis

In tern: Create Common TLGs Used in Clinical Trials

Bland-Altman analysis

Description

Statistics function that uses the Bland-Altman method to assess the agreement between two numerical vectors and calculates a variety of statistics.

Usage

s_bland_altman(x, y, conf_level = 0.95)

Arguments

x	(numeric) vector of numbers we want to analyze.
y	(numeric) vector of numbers we want to analyze, to be compared with x.
conf_level	(proportion) confidence level of the interval.

Value

A named list of the following elements:

• df

• difference_mean

• ci_mean

• difference_sd

• difference_se

• upper_agreement_limit

• lower_agreement_limit

• agreement_limit_se

• upper_agreement_limit_ci

• lower_agreement_limit_ci

• t_value

• n

Examples

x <- seq(1, 60, 5)
y <- seq(5, 50, 4)

s_bland_altman(x, y, conf_level = 0.9)

tern documentation built on April 4, 2025, 12:10 a.m.