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Bland and Altman agreement method: to plot differences against means or differences against standard? An endless
Bruno Mario Cesana1,2, Paolo Antonelli3
1Retired Associate Professor of Medical Statistics, Faculty of Medicine and Surgery, University of Brescia, Brescia, Italy.
The Bland and Altman analysis of agreement studies has a graphical dispute on plotting differences. This study clarifies plotting methods to minimize spurious proportional error in measurement agreement studies.
Area of Science:
- Biostatistics
- Measurement Science
Background:
- Controversy exists in Bland and Altman agreement analysis regarding plotting differences against the mean or the standard method.
- The choice of graphical representation implies an underlying regression model to assess biases.
Purpose of the Study:
- To resolve the controversy in Bland and Altman analysis by evaluating plotting methods.
- To identify conditions that minimize spurious proportional error in measurement agreement studies.
Main Methods:
- Reviewed papers that plotted differences against the standard method, identifying their statistical pitfalls.
- Analyzed conditions influencing the correlation coefficient and regression slope between differences and means/standards.
Main Results:
- Demonstrated scenarios where plotting differences against the mean or standard results in regression slopes and correlation coefficients closer to zero.
- Showcased how specific plotting choices minimize spurious proportional error between measurement methods.
Conclusions:
- Calculating expected values of correlation coefficients and regression slopes aids in selecting appropriate statistical models for agreement studies.
- Provided recommendations for evaluating the feasibility of agreement or calibration studies.
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