measure_compare: Estimation of the amount of bias of a new measurement method...

Description Usage Arguments Details Value Author(s) Examples

View source: R/measure_compare.R

Description

This function implements the methodology reported in the paper entitled "Effective plots to assess bias and precision in method comparison studies" published in Statistical Methods in Medical Research (P. Taffe, 2015) (to appear).

Usage

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measure_compare(data, new = "y1", Ref = "y2", ID = "id")

Arguments

data

a dataframe containing the identification number of the subject (id), the measurement values from the new measurement method (y1) and those from the reference methods).

new

specify the variable name or location of the new measurement method

Ref

specify the variable name or location of the reference standard

ID

specify the variable name for location of the subject identification number

Details

This functions implements the new estimation procedure to assess the agreement between the two measurement methods, as well as Bland & Altman's limits of agreement extended to the setting of possibly heteroscedastic measurement errors.

Value

The function return a list with the following iterms:

Author(s)

Mingkai Peng

Examples

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### Load the data
data(data1)
### Analysis
measure_model <- measure_compare(data1)

Example output

Loading required package: nlme

MethodCompare documentation built on May 2, 2019, 3:38 p.m.