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.
Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test
We’ve been busy over the last few months adding
various new features and improvements to Analyse-it.
There are always many
changes behind the scenes, which aren’t really news-worthy, but seek to make
Analyse-it compatible with the latest changes to Microsoft Excel and Windows. Microsoft
have recently embraced a more aggressive continuous-release deployment model
with Office and Excel, and these releases have caused quite a few headaches for
developers, notably with the multi-monitor high DPI support.
For these reasons we advise you have active maintenance so you get these
updates as they are released – if not we recommend you renew maintenance on your license to get the latest updates and ensure compatibility
with the often fast-paced releases.
Starting with version 5.20 we introduced a
new feature so you can set the scale (minimum, maximum and units) for a
variable that will then be used, where possible, to set the scaling for chart
axes. Normally Analyse-it will choose excellent axis scaling, but sometimes you
know better and want a specific minimum, maximum, or units. Previously you would
have to set the scale manually on the charts output from the analysis, and any
changes would be lost on recalculate. Now you can control the scaling, see Setting the minimum, maximum and units of a variable
With version 5.30 we focussed on improving
the Fit model analysis, with the addition of weighted regression and the
Durbin-Watson statistic for testing autocorrelation in the residuals. For more
information see the updated documentation, Linear fit and Residuals - independence.
Finally, in version 5.40 we added equivalence
tests. Unlike the usual equality of means hypothesis test which tests for a difference, an equivalence of means hypothesis
test tests if two population means are equivalent, that is, practically the
same. We’ve added the equivalence tests to Distribution, Compare Groups and
Compare Pair analyses. You can read more about these changes at Distribution - Parameter equivalence hypothesis test, Compare groups – equivalence of means hypothesis test,
and Compare pairs – equivalence of means hypothesis test
If you have active maintenance you can download and install the update now, see updating the software. If maintenance on your license has expired you can renew it to get this update and forthcoming updates, see renew maintenance.
Let us know your comments, opinions and any questions you have on this post. Your feedback is always appreciated.