Peak flow meters
First readings from Wright and mini Wright peak flow meters.
Paste two sets of paired measurements to get a Bland–Altman plot with bias and limits of agreement.
First readings from Wright and mini Wright peak flow meters.
First systolic blood pressure readings for 85 people.
Differences increase with measurement size.
A portable glucose meter compared with a laboratory method.
Compare wearable heart-rate readings with ECG.
Paste a table or edit the values directly.
Set the difference direction and horizontal axis.
Compare the bias and limits with your prespecified criteria.
Save the plot or copy the results and figure legend.
Use the bias and 95% limits of agreement to read the center, spread and pattern of paired differences.
Judge agreement against a clinically or practically acceptable difference set before analysis, not from the plot alone. Limits inside that threshold support agreement; limits outside it do not.
The upper limit 5.3 bpm exceeds +5.0 bpm; agreement is not shown at ±5.0 bpm.
The acceptance limits are illustrative.
Constant limits assume independent pairs, roughly normal differences and a stable spread. Check your plot for these patterns:
The spread stays steady; keep Y axis set to Difference.
Differences change with size; turn on Proportional bias regression.
Spread grows with size; set Y axis to Percentage difference.
Report the number of pairs, bias and its 95% confidence interval, lower and upper limits of agreement and their 95% confidence intervals, and the prespecified acceptance threshold with its rationale.
Let d be the mean difference and s the sample standard deviation of differences.
Use Copy results in the editor to get this sentence for your data.
Mean difference −2.1 l/min (95% CI −22.0 to 17.8); 95% limits of agreement −78.1 to 73.9 l/min (n = 17). Lower limit 95% CI −112.9 to −43.3; upper limit 95% CI 39.1 to 108.6 l/min, using the Bland and Altman (1999) approximation.
References: Altman & Bland 1983 · Bland & Altman 1986 · Bland & Altman 1995 · Bland & Altman 1999 · Bland & Altman 2007 · Krouwer 2008 · Carkeet 2015 · Giavarina 2015
Methods can rise together and still disagree. Correlation describes association; the differences and limits show how far paired measurements can be apart.
It plots each pair’s difference against its mean, showing bias and limits of agreement.
For approximately normally distributed differences, about 95% of differences are expected to lie between the limits. Decide what difference is acceptable beforehand using clinical or practical criteria.
Correlation describes linear association, not agreement. Two methods can correlate strongly while differing substantially. ICC measures a different property and is not calculated here.
The mean is the default. If one method is a reference, plotting against it is an alternative; Bland and Altman and Krouwer discuss the tradeoffs.
The 1986 paper used 2 SD; the 1999 approach uses 1.96 SD. The difference is small.
Inspect the regression slope and consider percentage differences. This tool does not calculate log ratios or regression-based limits.
Yes. Both display paired differences against their means.
You can calculate differences, means and limits in Excel. Confidence interval formulas vary across software; this tool uses the 1999 approximation shown above.
Measurements stay in your browser. Download SVG, PNG or CSV, or copy the results and figure legend.
Compare paired measurements and export your figure.