measure_compare: Estimation of the amount of bias of the new measurement method relative to the reference method, with possibly heteroscedastic variance of the measurement errors

Description

This function implements the methodology reported in the paper: Taffé P. Effective plots to assess bias and precision in method comparison studies. Stat Methods Med Res 2018;27:1650-1660. Other relevant references: Taffé P, Peng M, Stagg V, Williamson T. Biasplot: A package to effective plots to assess bias and precision in method comparison studies. Stata J 2017;17:208-221. Taffé P, Peng M, Stagg V, Williamson T. MethodCompare: An R package to assess bias and precision in method comparison studies. Stat Methods Med Res 2019;28:2557-2565. Taffé P, Halfon P, Halfon M. A new statistical methodology to assess bias and precision overcomes the defects of the Bland & Altman method. J Clin Epidemiol 2020;124:1-7. Taffé P. Assessing bias, precision, and agreement in method comparison studies. Stat Methods Med Res 2020;29:778-796. Taffé P. When can the Bland-Altman limits of agreement method be used and when it should not be used. J Clin Epidemiol 2021; 137:176-181.

Usage

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

Value

The function returns a list with the following items:

Bias: differential and proportional bias for new method and the associated 95 percent confidence intervals
Models: list of models fitted in estimation procedure
Ref: a data frame containing the various variables used to compute the bias and precision plots, as well the smooth standard errors estimates of the reference standard
New: a data frame containing the various variables used to compute the bias and precision plots, as well the smooth standard errors estimates of the new measurement method

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 method).
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

Author

Mingkai Peng & Patrick Taffé

Details

This functions implements the new estimation procedure to assess bias and precision of a new measurement method with respect to a reference standard, as well as Bland & Altman's limits of agreement extended to the setting of possibly heteroscedastic variance of the measurement errors.

Examples

Run this code

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

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