What do total error and measurement uncertainty mean, how are they calculated, and which one should you use in your verifications?
Learn how to handle discrepancies in qualitative comparison studies and why it’s important for your laboratory to do it right.
Learn how Validation Manager can help your laboratory efficiently compare qualitative tests and evaluate, interpret, and justify your results.
Not sure how to get started with Validation Manager? Read this step by step guide to know what to expect after your purchase decision.
What’s the best regression model to use in your laboratory verification projects: OLR, WLS, Deming, weighted Deming, or Passing-Bablok? Read on to learn more.
Save yourself the headache when reporting by following these tips for organising verification projects in Validation Manager.
In this guide, we’ll show you how to estimate average bias. We also explain the difference between Bland-Altman comparisons and direct comparisons.
Laboratories don’t often reach their quality potentials. To climb the quality ladder, the easiest step you can take is automating verification reporting. Validation Manager helps you do that with ease.
Laboratories often rely on correlation coefficient to decide if their new methods pass verifications. Avoid this mistake! Here’s why and what to do instead.
The mindset of a laboratory defines the quality they can achieve. Quality steps represent the different mindsets and changes needed to get to the next level.