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Statistical Reference Guide
Method comparison / Agreement
Plotting the Bland-Altman limits of agreement
Plot a difference plot and limits of agreement.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Method Comparison
(or
Agreement
depending on the edition), and then click
Bland-Altman
.
The analysis task pane opens.
If the data are in 2 variables:
In the
X
drop-down list, select the comparative or reference measurement procedure variable.
In the
Y
drop-down list, select the test measurement procedure variable.
Note:
If the variables consist of replicate measurements, select the variable name that spans all the replicate columns.
If the data are in 2 variables with a separate variable identifying replicates of each item:
In the
X
drop-down list, select the comparative or reference measurement procedure variable.
In the
Y
drop-down list, select the test measurement procedure variable.
In the
Item
drop-down list, select the variable identifying each item.
If the data are in a single variable with a separate variable matching each item and a variable identifying the method:
In the
Model
drop-down menu, select
Matched Pairs
.
In the
Y
drop-down list, select the measurement variable.
In the
Item
drop-down list, select the item variable that identifies each item.
In the
Method
drop-down list, select the method variable.
In the
D
drop-down list, select:
Option
Description
Difference
Plot the differences on the vertical axis.
Relative Difference
Plot the differences relative to Z on the vertical axis.
Ratio
Plot the ratio of the values on the vertical axis.
In the
on Z
drop-down list, select:
Option
Description
X
Plot X as a reference method on the horizontal axis.
(X+Y)/2
Plot the average on the horizontal axis. Neither X or Y are reference methods.
In the
Mean function
drop-down list, select:
Option
Description
Constant
There is a constant relationship between D and Z.
Linear function
There is a linear relationship between D and Z.
In the
SD
drop-down list, select:
Option
Description
Constant
The measurement error is constant throughout the measuring interval.
Linear function
The measurement error is linear across the measuring interval.
Click
Calculate
.
Related concepts
Limits of agreement (LoA)
Related tasks
Partitioning and reducing the measuring interval
Related reference
Dataset layout
Related information
CLSI. (2013).
Estimation of Total Analytical Error for Clinical Laboratory Methods (EP21-A)
. Clinical and Laboratory Standards Institute.
Available in Analyse-it Editions
Method Validation edition
Ultimate edition
What is Analyse-it?
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Administrator's Guide
User's Guide
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 6.10
Published 21-Jul-2022
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