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Bandt, C. & Pompe, B. Permutation entropy: a natural complexity measure for time series.
Fadlallah, B., Chen, B., Keil, A. & Príncipe, J. Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information.
The first one, i.e. Complementarity measure for time series prediction (ComTSP), is properly modified from Complementarity measure (COM) for classification.
Jitter is a measure for time variability.
Triangle distance metric [22] is another popular similarity measure for time series data which considers time series object as a vector in n dimensional space.
Dynamic time warping is another similarity measure for time series data which can measure distance between two time series objects even if their length is not similar [21].
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Herein, we propose a new importance measure for time-independent reliability analysis.
The Cochrane handbook also advises that the effect measure for time-to-event outcomes should be expressed as a hazard ratio.
In contrast to these reports, our survival analyses were conducted using the HR, which is the ideal measure for time-to-event analyses, as it accounts for both censoring of data and the time it takes for the event (such as death or progression) to occur (Parmar et al, 1998).
Main Outcome Measure: Mediolateral (ML) and fore-aft (FA) sway as well as ML and FA displacement were analyzed by analysis of variance with repeated measures for time (α =.05).
The 10-day rule allowed schools discretionary measures for time off, and used effectively, and not abused, seemed much fairer.
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