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  • Method comparison / Agreement

Plotting the Bland-Altman limits of agreement

Plot a difference plot and limits of agreement.

  1. Select a cell in the dataset.
  2. 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.
  3. If the data are in 2 variables:
    1. In the X drop-down list, select the comparative or reference measurement procedure variable.
    2. 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.
  4. If the data are in 2 variables with a separate variable identifying replicates of each item:
    1. In the X drop-down list, select the comparative or reference measurement procedure variable.
    2. In the Y drop-down list, select the test measurement procedure variable.
    3. In the Item drop-down list, select the variable identifying each item.
  5. If the data are in a single variable with a separate variable matching each item and a variable identifying the method:
    1. In the Model drop-down menu, select Matched Pairs.
    2. In the Y drop-down list, select the measurement variable.
    3. In the Item drop-down list, select the item variable that identifies each item.
    4. In the Method drop-down list, select the method variable.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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

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  •  Distribution
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  •  Factor analysis (FA)
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  •  Fit model
  •  Method comparison / Agreement
  •  Correlation coefficient
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  •  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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