Agreement Statistics by Dr. Lawrence Lin

This web tool computes Lin’s agreement statistics for continuous data when the error structure is assummed constant (absolute difference) or proportional (% change). Agreement statistics include concordance correlation coefficient (CCC), precision and accuracy coefficients, total deviation index (TDI), coverage probability (CP), and their one sided confidence limits. They are computed when target values are random or fixed. It also produces the agreement plot around the concordance line.

Created by Dr. Lawrence Lin using the Python function converted from validated SAS macro, based on materials in Chapter 2 of Statistical Tools for Measuring Agreement, Springer, 2012 by Lin et al.

To use the tool, enter values for all parameters and upload your data using the first button on the left. Agreement statistics and plot will be presented. You may interactively update the results by changing values of parameters. Close and relaunch the tool for each new data set. Note that when the TDI allowance is set too large, you might get an error about s_T because the CP values is 1 and its standard error is zero.

Resources

Master Agreement Statistics with Expert Tools

Access specialized resources to deepen your expertise in statistical agreement analysis.

Understanding the Concordance Correlation Coefficient

Discover the fundamentals of CCC and its application to continuous data.

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Precision and Accuracy Coefficients Explained

Gain insight into measuring precision and accuracy for reliable results.

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Total Deviation Index and Coverage Probability

Learn how TDI and CP quantify agreement deviations effectively.

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Dynamic Tools for Agreement Analysis

Explore our FAQs to quickly resolve common queries about using agreement statistics and data visualization features.

What types of agreement statistics can I calculate here?

You can compute concordance correlation coefficients, precision and accuracy measures, total deviation index, and coverage probability for continuous data.

How do I upload my data for analysis?

Simply upload your dataset in the supported format through the upload interface and set your parameters to start the analysis.

Can I customize the analysis parameters?

Yes, users can adjust parameters such as absolute differences or percentage changes to tailor the calculations to their data.

Are the results visualized?

Yes, the platform generates interactive agreement plots to help you interpret the statistical output effectively.

How to Use the Tool

Discover the clear, guided steps to upload your data, select parameters, and interpret agreement statistics effectively.

1

Step One: Upload Your Data

Begin by importing your continuous data set; this step prepares your information for detailed agreement analysis.

2

Step Two: Configure Parameters

Set your preferred agreement measures and thresholds to tailor the analysis according to your specific research needs.

3

Step Three: Visualize and Interpret

Review the interactive plots and statistical outputs to understand the agreement and precision between your data sets.

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