Definition 3 (Time-dependent indicator) Assuming that the monitoring area has n nodes, the monitoring time duration is T, and collection interval of all the nodes is Δt.
As we can see in Fig. 4, in the case that the data volume of each node changes from 100 to 200, the metric of the time-dependent indicator decreases, the dataset completeness increases slightly, and the correctness indicator increases.
Similar to the above experiment, the sample jitter is eliminated twice on the same dataset in order to guarantee that the time-dependent indicator of the dataset gradually increases.
Then, we have the time-dependent indicator of dataset D as follows: {q}_t=sum limits_{i=1}^nsum limits_{t=1}^{v_i}{f}_tleft(Xleft i,tright)right)/N.
As we can see in Fig. 5, in the case that the completeness increases, the time-dependent indicator is almost unchanged, while the correctness indicator will increase or decrease.
The time-dependent indicator of data X i, t) is described as follows: {f}_tleft(Xleft i,tright)right)=max left{0,1hbox frac{mathrm{currency}}{mathrm{volatility}}right}.
For the purpose of the analysis, the presence of hypernatremia was expressed as a time-dependent indicator variate.
The use of DDAVP, which we took as a surrogate marker for the presence of CDI, was defined by a time-dependent indicator variate.
15 The once-daily FDC time era was the primary independent variable in this study, and was treated as a time-dependent indicator (pre- vs post-FDC eras).
We included a time-dependent indicator variable that distinguishes between the DCCT and EDIC study periods and tested for an interaction with treatment group.
CMV reactivation was modeled as a time-dependent indicator defined as any antigenemia or positive PCR value, or antigenemia >10 cells per slide or >100 copies/mL by PCR.
