Bias appears as you import data
Multilo calculates the mean and difference for every pair and shows the systematic bias. To find the difference, you don’t need to create any columns in Excel.
Validate your new lab methods against a gold standard in minutes. Multilo calculates the bias and limits of agreement, generates a Bland-Altman plot, and moves it directly to your draft-no need for extra software or manual formulas.
Bland-Altman Plot Generator
A Bland-Altman plot compares two methods that measure the same thing, such as a new device and a gold standard.
The y-axis shows the difference between the two methods, and the x-axis shows their mean.
The bias line shows how much one method reads higher or lower on average.
The limits of agreement show the range where 95% of the differences fall.
If the limits are narrower than the acceptable difference in your field, you can use the two methods interchangeably.
Multilo handles everything from your paired dataset to your final paper
Multilo calculates the mean and difference for every pair and shows the systematic bias. To find the difference, you don’t need to create any columns in Excel.
Your limits of agreement (mean difference ± 1.96 × SD of the differences) are automatically shown in the Bland-Altman graph. If the journal demands then a 95% confidence interval also added.
Multilo can plot a regression line using a graph of the mean differences. This helps you identify any changes in measurement size before reviewers notice them.
Move the graph directly to your document and adjust it according to your draft font and layout. You don’t need to export, copy-paste, or take screenshots separately.
You can change the colors, axis titles, and labels whenever you need to, even after the graph is in your draft. You don’t need to rebuild it from the start.
Add the Bland & Altman (1986) reference in your journal’s citation style without leaving Multilo. Your methods section and reference list stay complete and in sync.
Your Whole Method Comparison, From Data to Draft, in One Place
Draft, cite, research, refine, and make graphs without ever leaving your project—and it all keeps working offline on your device. Free to start; no subscription needed.
Many software does the analysis, but for this many settings and large steps, you have to add a graph yourself to the research paper
| Feature | Multilo | MedCalc | GraphPad Prism | SPSS | R | Excel |
|---|---|---|---|---|---|---|
| Setup time | Take minutes ✅ | Need to install and set up | Install and set up | Larger setup and install | Install R and packages | installed but formulas built by hand |
| Learning difficulty | Very easy ✅ | Moderate | Moderate | Difficult | Difficult, need coding | Moderate, manual method |
| Automatic limits of agreement | yes ✅ | yes | yes | Require methodology | Through packages and code | manual formulas |
| Cost | Check pricing | Paid license | Paid subscription | Paid license | Free | Paid license |
| Direct insertion in docx. | yes ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
Bland-Altman is only useful if its bias and limits of agreement are accurate. Every time Multilo passes your data set through the same calculation and generates a graph, no guess number is present in it.
Every point, bias, and limit of agreement is extracted from your actual file, not from any model guesses.
The same data produces the same result every time you run it.
Multilo runs locally on your desktop, and data remains safe on your device and is never used to train any AI model.
From new devices to lab assays and wearable sensors, Multilo runs your Bland-Altman analysis and keeps every graph in your thesis consistent in style.
Multilo draws every line you need to judge agreement, so you can read your plot in seconds.
Shows how much higher or lower one method reads on average. A line close to zero means little systematic difference.
Show the range where 95% of the differences fall. Compare this range with the maximum difference that’s acceptable in your field.
A sloping line means proportional bias, where the difference grows or shrinks with measurement size.
Help you spot outliers or unusual samples before you report your results.
Everything you need to know about writing with Multilo
It is a scientific graph used to compare two different measurement methods. It plots the differences between the two methods against their means, with lines showing the mean bias and limits of agreement.
First of all, see the mean bias line to check how much one method increases or decreases in relevance to the other. Then, check whether either limit is according to your research requirements or not. And see whether the measurement size increases, the difference between the two methods increases, or there is proportional bias.
Yes, import your file or paste your data table set, and select two paired variables, and Multilo will prepare a plot in your draft instantly.
It is the limit that is extracted by 1.96 times the standard deviation of the mean difference. In normal data almost 95% differences comes in this limit.
Yes, Multilo automatically calculates the mean difference and limits of agreement (mean ± 1.96 SD) and shows them on the graph. You don’t need any manual formulas.
Yes, you can easily include a 95% confidence interval in both bias and limits and adjust it according to the needs of your research journal.
No, you don’t need any Python or R: select your variable, and Multilo does all remaining work automatically.
Yes, you can make edits like color, axes, and labels in Multilo after the graph is made.
Rather than moving onto separate software, download Multilo, and as you write your paper, turn your paired data into a Bland-Altman plot