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Exact(56)
AUC between 0 and 180 min was calculated using the linear trapezoidal rule, starting from C 0. Log-linear regression of the last three concentrations (60-, 120-, and 180-min samples) was used to estimate the AUC from 180 min to infinity that is, to calculate AUC0 ∞ and to estimate kel and t1/2.
The total areas under the curve for glucose (AUCg) and insulin (AUCi) were calculated using the linear trapezoidal rule [25].
The AUC values were calculated using the linear trapezoidal rule.
The AUClast was computed using the linear trapezoidal approximation method.
The AUC0− t was estimated using the linear trapezoidal method.
AUCtau was determined using the linear trapezoidal method.
Area Under the Curve (AUC) values were computed using the Linear Trapezoidal, Linear Interpolation rules.
Similar(4)
The area under the plasma concentration time curve (AUC) was determined using the linear logarithmic trapezoidal method up to the last measured concentration-time point and extrapolated to infinity (AUC0−∞) using the slope of the terminal part of the logarithmic concentration vs time curve (λz).
Area under the concentration-time curve from Hour 0 to Hour 4 (AUC0 to 4), was calculated by using the linear-log trapezoidal rule: linear trapezoidal rule up to time to maximum concentration, and then a log trapezoidal rule for the remainder of the curve, where the last measurable time is at Hour 4. All statistical computations were performed using SAS®.
The area under the concentration versus time curve (AUC) from time 0 to 24 hours (AUC0 24) after dosing was calculated using the linear-log trapezoidal rule.
AUC was computed using the linear (up)/logarithmic (down) trapezoidal rule with a minimum of four quantifiable concentrations.
More suggestions(15)
using the linear damping
using the linear contrast
using the linear approximation
using the linear response
using the linear regression
using the linear matrix
using the linear theory
using the linear expansion
using the linear summation
using the linear model
using the linear relationship
using the linear advection
using the linear specification
using the linear array
using the linear prediction
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