| Algorithm 1: Pseudo-code to determine sample’s steady-state region |
For each sample n:
Sort the drug released value based on time (t) in ascending order.
Assign the first two initial data points, starting from time zero (t = 0), into set A which corresponds to region A.
Assign the remaining data points to set B which corresponds to region B.
While the p-value of region B > significance level (0.05):
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Remove the first data point from set B and assign to set A.
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Create a linear regression model using the data in set A (model A).
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Create a linear regression model using the data in set B (model B).
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If the p-value of model B is above the significance level (0.05), move to the next iteration.
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If the p-value of model B is below the significance level (0.05), terminate the while loop.
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If all data points have been assigned to set A, terminate the while loop because there is no more data in region B.
Move to the next sample.
End |