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Statistical Reference Guide
Method comparison / Agreement
Method comparison measures the closeness of agreement between the measured values of two methods.
Note:
The term method is used as a generic term and can include different measurement procedures, measurement systems, laboratories, or any other variable that you want to if there are differences between measurements.
Correlation coefficient
A correlation coefficient measures the association between two methods.
Scatter plot
A scatter plot shows the relationship between two methods.
Fit Y on X
Regression of Y on X describes the linear relationship between the methods.
Linearity
Linearity is the assumption that the relationship between the methods is linear.
Residual plot
A residual plot shows the difference between the measured values and the predicted values against the true values.
Average bias
Bias is a measure of a systematic measurement error, the component of measurement error that remains constant in replicate measurements on the same item. When measuring a method against a reference method using many items the average bias is an estimate of bias that is averaged over all the items.
Difference plot (Bland-Altman plot)
A difference plot shows the differences in measurements between two methods, and any relationship between the differences and true values.
Fit differences
Regression of the differences on the true value describes the relationship between the methods.
Limits of agreement (LoA)
Limits of agreement estimate the interval within which a proportion of the differences between measurements lie.
Mountain plot (folded CDF plot)
A mountain plot shows the distribution of the differences between two methods. It is a complementary plot to the difference plot.
Agreement measures for binary and semi-quantitative data
Agreement measures summarize the similarity of the results of two binary or semi-quantitative methods.
Agreement plot
An agreement plot shows the agreement between two binary or semi-quantitative methods.
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Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Method comparison / Agreement
Correlation coefficient
Scatter plot
Fit Y on X
Fitting ordinary linear regression
Fitting Deming regression
Fitting Passing-Bablok regression
Linearity
Residual plot
Checking the assumptions of the fit
Average bias
Estimating the bias between methods at a decision level
Testing commutability of other materials
Difference plot (Bland-Altman plot)
Fit differences
Plotting a difference plot and estimating the average bias
Limits of agreement (LoA)
Plotting the Bland-Altman limits of agreement
Mountain plot (folded CDF plot)
Plotting a mountain plot
Partitioning and reducing the measuring interval
Agreement measures for binary and semi-quantitative data
Chance corrected agreement measures for binary and semi-quantitative data
Agreement plot
Estimating agreement between two binary or semi-quantitative methods
Study design
Study design for qualitative methods
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Survival/Reliability
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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