Table 2 Definitions of terms used for the description of the endpoint detection algorithm.
From: Body weight algorithm predicts humane endpoint in an intracranial rat glioma model
Moving average | Unweighted mean of the previous number of data points; here: average body weight of a certain number of previous days |
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Window size | number of previous data points; here: number of days used for calculation of the moving average |
Width-factor | standard deviation multiplication factor; here: for the calculation of the boundary widths |
Boundaries | upper and lower decision levels around the moving average; here: calculated by SD multiplied by the width factor |
MAD | mean absolute deviation; here: mean of the lagging data window minus the observed data point |
EDR | endpoint detection rate; here: the proportion of correctly identified endpoints |