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FAQ: Why Are Two Baselines Better Than One?

FAQ: Why Are Two Baselines Better Than One?

By Laurie Tyrrell-Schroeder Laurie Tyrrell-Schroeder, DVM | Updated on | FAQ, Generating the Analysis, LT Schroeder, Stride Selection

Why is it better to collect two straight line trials of 25 strides than one long trial (of 50+ strides)?  This is a great question and touches on two separate concepts related to variability – stride-by-stride variability and trial-to-trial variability. Stride-By-Stride Variability Stride-by-stride variability = the variability of the lameness measure (Diff Max Head, Diff Min Head, Diff Max Pelvis, Diff Min Pelvis) from stride to stride over the course of a single data collection trial.  Stride-by-stride variability is assessed in the Lameness Locator® report by comparing the standard deviation to the absolute value of the mean, comparing...

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FAQ: Why is My Analysis Not Selecting All Strides?

FAQ: Why is My Analysis Not Selecting All Strides?

By Laurie Tyrrell-Schroeder Laurie Tyrrell-Schroeder, DVM | Updated on | FAQ, Generating the Analysis, LT Schroeder, Software Navigation, Stride Selection

I seem to be collecting a lot of strides, but the analysis is not including them. Why is that? A: Not all strides collected will be analyzed, and this is by design, to help prevent the inclusion of potentially undesirable data. The stride detection algorithm is based on a median stride rate, with a selection that starts around +/-10% of the median stride rate over a collection. This percentage was found to be most effective to include regularly trotting strides and exclude irregular or non-trotting strides. For instance, this is why the user does not have to pause data collection...

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FAQ: Why Are Two Baselines Better Than One?

FAQ: Why is My Analysis Not Selecting All Strides?