Hub
Pricing About
NodeNode / Visualizer

Bland-Altman Plot

KNIME LabsStatistics
Drag & drop
Like

Creates a Bland-Altman plot (also known as Tukey mean-difference plot) used to analyze the agreement of two different measurement methods.

The plot shows the relationship between the mean of two measurements (x-axis) and the difference of the two measurements (y-axis). It can be used to assess whether the two methods agree sufficiently well over the range of measurements and to identify possible systematic deviations or outliers.

The bias (mean of the differences) and the limits of agreement (bias ± 1.96 standard deviations of the differences) are shown as horizontal lines. If the differences are approximately normally distributed, about 95% of the points are expected to lie within these limits.

For details, see: Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement . Lancet 1(8476):307-310. https://doi.org/10.1016/S0140-6736(86)90837-8 .

Node details

Input ports
  1. Type: Table
    Measurement data
    Data table containing the two measurements.
Output ports
  1. Type: Image
    Bland-Altman Plot
    The Bland-Altman Plot.
  2. Type: Table
    Measurements
    The two selected measurements together with the calculated mean (x in the plot) and difference (y in the plot).
  3. Type: Table
    Bias and limits of agreement
    The bias (mean of the difference) and the limits of agreement (95% of the points are within the limits of agreement).

Extension

The Bland-Altman Plot node is part of this extension:

  1. Go to item

Related workflows & nodes

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2026 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits