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.

FAQ

Dynamic Agreement Plot Visuals

Find clear explanations to frequent queries about agreement statistics and tool usage here.

What types of agreement statistics can I calculate with this tool?

You can compute concordance correlation coefficients, precision and accuracy metrics, total deviation indices, and coverage probabilities for continuous data.

Can I upload data in different formats for analysis?

Yes, the platform accepts common data formats and provides options to customize parameters before analysis.

How does the tool handle percentage changes versus absolute differences?

It offers flexible settings to analyze agreement based on either absolute differences or percentage changes, adapting to your data needs.

Is there a way to visualize agreement results interactively?

Absolutely, interactive agreement plots help you explore and interpret the statistical findings intuitively.

Discover Agreement Statistics with Precision

Find essential tools and guidance to master agreement analysis for continuous data.

Understanding CCC

Dive into the concordance correlation coefficient and its interpretation.

Explore Details

Agreement Measures

Learn about precision, accuracy, TDI, and coverage probability calculations.

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Using the Tool

Step through data upload, parameter settings, and visualization options.

Get Started

Understanding Agreement Metrics

Follow these steps to upload your data, set parameters, and interpret the agreement statistics effectively.

Learn More

1

Step One: Upload Your Data

Begin by uploading your continuous data file, ensuring it meets the required format to start the analysis.

2

Step Two: Configure Parameters

Adjust settings such as absolute or percentage differences and select the agreement statistics to calculate.

3

Step Three: Visualize and Interpret

Review interactive agreement plots and detailed statistics to draw meaningful conclusions from your data.