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CD4 cell count was represented by a linear spline with a knot at 200 cells/μL and scaled per 100 cells/μL [ 27].
Because N e (t) is represented by a linear spline, calculation of the likelihood can be done in a computationally efficient fashion.
Time under study was included as a time-dependent variable and was modelled by a linear spline with boundaries at 1, 2 and 3 years after entry into the study.
In a sensitivity analysis, we estimated the association between significant fibrosis progression and cumulative log copies of HIV RNA where the latter was represented by a linear spline with two knots selected a priori at 50 and 1000 copies/mL 26.
The other time variable, time under study, was included as a time-dependent variable modelled by a linear spline with a boundary at 1, 2 and 3 years after entry into the study cohort to allow for a possible 'healthy-participants' effect.
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We also evaluated whether the relative change in quarterly bloodstream infection rate was different during the initial evaluation period compared with the sustainability period by using a linear spline model, which allowed the relative change in quarterly infection rate to change at the end of the initial 18 month period.
In compensating for missing frames caused by eye blink artifacts, a linear spline algorithm was implemented.
Since the results achieved with a linear spline model are very close to that of a cubic spline model, the nonuniform linear spline model is chosen as our EEG model to minimise computation costs.
After the fast-phase signal was eliminated, a linear spline algorithm was used.
Splines are piecewise polynomials of degree n, the simplest being a linear spline of degree 1.
A linear spline was used because this allows the hazard to be nonlinear (Greenland, 1995a).
More suggestions(15)
by a linear regression
by a linear hyperplane
by a polynomial spline
by a linear seven-carbon
by a linear relationship
by a linear transformation
by a linear combination
by a linear stability
by a linear scanning
by a linear transducer
by a linear function
by a linear actuator
by a linear slope
by a linear weight
by a linear programming
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