We are receiving a lot of questions about relevant analyses in the Analyse-it Method Validation edition to help in evaluating new diagnostic tests in the fight against COVID-19. Below are some quick links that will help, but contact us if you have questions - we are working as normal.

CLSI EP12-A2 for diagnostic accuracy see Sensitivity/Specificity, Predictive values, Estimating the sensitivity and specificity of a binary test and Comparing the accuracy of two binary diagnostic test.
CLSI EP17-A2 for detection capability of molecular methods using Probit analysis, see: Estimating the detection limit using a Probit fit and may be useful for determining the cutoff of a method with an internal continuous response see: Estimating the detection limit of a measurement system and Estimating the detection limit of a measurement system using a precision profile.

Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test

EP12-A2 Example: Sensitivity specificity of 2 diagnostic tests

EP17-A2 Example 1:
LoB and LoD

EP17-A2 Example 2:
LoD from precision profile

EP17-A2 Example 4:
Probit detection limit

Correlation and Principal Component Analysis (PCA) Video tutorial, with step-by-step instructions and example files.

Text version and example files
Watch on YouTube

Learn how to visualize the relationships between variables and the similarities between observations using Analyse-it for Microsoft Excel.

The tutorial covers understanding the relationship between variables, reducing the dimensionality of the data using PCA, and understanding the similarities between observations. It demonstrates principal component analysis, scatter matrix plots, biplots, using color/symbols to identify different groups, and much more.

This video applies to Analyse-it version 3.80 and later.