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

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