MethodCompare-package: Evaluating Bias and Precision in Method Comparison Studies

In MethodCompare: Evaluating Bias and Precision in Method Comparison Studies

Evaluating Bias and Precision in Method Comparison Studies

Description

The package "MethodCompare" allows one to assess bias, precision and agreement of a new measurement method with respect to a reference method (also called "reference standard"). It requires repeated measurements by at least one of the two measurement methods.

In this implementation, it is assumed by default that the reference method has repeated measurements and the new method may have as few as only one measurement per individual (The methodology can be adapted if you have more repeated measurements by the new method than by the reference method, see ref. below).

It implements the methodology developped in:

Taffé P. Effective plots to assess bias and precision in method comparison studies. Stat Methods Med Res 2018;27:1650-1660.

Taffé P. Assessing bias, precision, and agreement in method comparison studies. Stat Methods Med Res 2020;29:778-796.

For other relevant references:

Blomet T, Taffé P, MethodCompare: An extended suite of R commands to assess bias, precision, and agreement in method comparison studies. To be published...

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. 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.

Taffé P, Peng M, Stagg V, Williamson T. Extended biasplot command to assess bias, precision, and agreement in method comparison studies. Stata J 2023;23:97-118.

Details

The functions implemented in this package are the following:

• agreement0: Plot the agreement before recalibration

• agreement1: Plot the agreement after recalibration

• bias_plot: Plot the bias and measurements

• compare_plot: Plot used to visualize the recalibration of the new method after estimating the bias

• measure_compare: Estimation of the amount of bias of the new measurement method relative to the reference method

• mse: Plot the mean squared errors

• pct_agreement0: Plot the percentage agreement before recalibration

• pct_agreement1: Plot the percentage agreement after recalibration

• precision_plot: Plot the precision of the methods

• sqrt_mse: Plot the square root of the mean squared errors

• total_bias_plot: Plot total bias

Author(s)

Maintainer: Thomas Blomet [e-mail]

Authors:

• Mingkai Peng

• Patrick Taffé [e-mail]

• Tyler Williamson

See Also

Useful links:

• https://github.com/UBERLULU/MethodCompare

• Report bugs at https://github.com/UBERLULU/MethodCompare/issues

MethodCompare documentation built on Sept. 11, 2024, 5:07 p.m.