varying$552614$ - definitie. Wat is varying$552614$
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Wat (wie) is varying$552614$ - definitie

Time-dependent covariates; Time-varying covariates; Time varying covariate

Slowly varying function         
FUNCTION IN MATHEMATICS
Regularly varying function; Regular variation; Regularly varying tail
In real analysis, a branch of mathematics, a slowly varying function is a function of a real variable whose behaviour at infinity is in some sense similar to the behaviour of a function converging at infinity. Similarly, a regularly varying function is a function of a real variable whose behaviour at infinity is similar to the behaviour of a power law function (like a polynomial) near infinity.
Time-varying covariate         
A time-varying covariate (also called time-dependent covariate) is a term used in statistics, particularly in survival analyses. It reflects the phenomenon that a covariate is not necessarily constant through the whole study.
Time-varying phasor         
ANALYSING SIGNALS
Draft:Time Varying Phasors; Time Varying Phasors
In communication theory, time-varying phasors are used for analyzing narrow-band signals, whose signal bandwidths in the frequency domain are considerably smaller than the carrier frequency. Time-varying phasors are mostly used for analysis of frequency domain of band-pass systems.

Wikipedia

Time-varying covariate

A time-varying covariate (also called time-dependent covariate) is a term used in statistics, particularly in survival analysis. It reflects the phenomenon that a covariate is not necessarily constant through the whole study Time-varying covariates are included to represent time-dependent within-individual variation to predict individual responses. For instance, if one wishes to examine the link between area of residence and cancer, this would be complicated by the fact that study subjects move from one area to another. The area of residency could then be introduced in the statistical model as a time-varying covariate. In survival analysis, this would be done by splitting each study subject into several observations, one for each area of residence. For example, if a person is born at time 0 in area A, moves to area B at time 5, and is diagnosed with cancer at time 8, two observations would be made. One with a length of 5 (5 − 0) in area A, and one with a length of 3 (8 − 5) in area B.