Fig. 5.

Absolute values of the linear regression coefficients given the day index $i$, calculated using 600,000 randomly subsampled realizations, 1,200 realizations per $N=\left\{1,2,\dots ,20\right\}$ per $T_{df}=\left\{0,15,30,\dots ,360\right\}$ value. The red curve represents the exponential decay function in the form of $a\times e^{-bi}$, fitted to the magnitude of the linear regression coefficients to demonstrate the exponential decay of contribution of information as one moves farther back in the treatment history of the patient.